# Back My Side — full-text growth library Back My Side is an App Store keyword research and listing analysis tool using public Apple data. Sampled positions (up to 200 results) are not official on-device rankings. Relative scores are heuristics, not search-volume counts or download forecasts. Missing observations are not rank 201 or zero. The service does not access private App Store Connect analytics or competitors' private keyword fields. All current case studies are fictional worked examples, not customer results. No ranking or growth guarantees. Initial app reports need no account; saved work and tracking are subject to sign-in and plan limits. Editorial policy: https://backmyside.com/editorial-policy --- # App Store optimization: a practical guide for growing an iOS app Canonical URL: https://backmyside.com/guides/app-store-optimization Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Launch Keywords: app store optimization, ASO guide, iOS app growth Editorial guide; recommendations do not guarantee results. ## Quick answer App Store optimization (ASO) is the work of making an app easier to discover and its product page easier to understand. Start with one audience and storefront, research relevant search terms, align the listing with the app’s actual value, and measure discovery separately from downloads and retention. A higher keyword position is a signal, not proof of business growth. ## Key takeaways - Treat discovery, conversion, and retention as separate problems. - Choose keywords that describe something your app actually delivers. - Keep a dated change log so you can interpret results without inventing causality. ## Start with the problem, not a bag of keywords Write down who your app helps, the situation in which they need it, and the outcome they can reach. A task planner for rotating shift workers and a shared family calendar may both live in Productivity, but they compete for different intentions. If your description could fit either app, the positioning is too broad. Use that statement to build a small research set. Include the main task, a narrower use case, and the language people use in support requests or interviews. Do not equate the presence of a suggestion in autocomplete with a known number of searches. Suggestions are candidate language, not a demand forecast. ## Build a baseline before changing the listing Record the current name, subtitle, screenshots, release date, selected storefront, and sampled keyword positions. In your own App Store Connect account, record the relevant acquisition and conversion metrics with their filters. Back My Side does not read those private analytics; the public report is a complementary view. Keep the baseline definition stable. Comparing a worldwide total this month with US search traffic last month answers no useful question. Search-source reporting can include Apple Ads activity, so annotate paid campaigns rather than calling every search download organic. A simple ASO measurement plan Question: Can people discover the app?; Evidence: Search impressions and sampled positions; Limit: A public rank is not a traffic count Question: Does the listing explain the value?; Evidence: Consistently filtered conversion metrics; Limit: Traffic mix can change the rate Question: Does the promise hold after install?; Evidence: Activation and retention cohorts; Limit: Usage data has availability limits ## Make the keyword promise visible Your strongest relevant idea should be easy to recognize in the name or subtitle and supported by the first useful screenshot. Apple allows up to 30 characters for the name and 30 for the subtitle. The private keyword field has a separate 100-character budget. Those are constraints for clear writing, not targets to fill with unrelated phrases. Make sure the product can fulfill the promise without a surprise. An app targeting offline note taking should show the offline workflow and disclose any limits. Better visibility for the wrong promise can create disappointed users, weak retention, and avoidable support work. - Audit metadata for relevance, duplication, and unauthorized names. - Show a real product action rather than a vague benefit claim. - Explain important subscription or feature limitations accurately. ## Run one interpretable improvement cycle Pick the bottleneck with the clearest evidence. If the app is found for relevant searches but visitors do not download, investigate the product page. If discovery is weak, review keyword fit and storefront availability first. If users download and immediately abandon the app, acquisition is not the only problem to solve. Document the hypothesis, change, release time, and review window before shipping. Use Apple’s product page optimization for eligible creative tests; it does not randomize keyword-field or title changes. Observing growth after a metadata update is useful, but seasonality, campaigns, competitors, and product improvements can also explain it. End the cycle with a decision: keep, revise, roll back, or collect more evidence. A short record of what you learned is more valuable than a dashboard full of unsupported explanations. ## Frequently asked questions ### Is ASO the same as SEO? Both help people discover relevant content, but ASO concerns app-store listings and store-specific discovery and conversion. Website SEO can bring people to an app’s website; it does not directly set App Store keyword positions. ### Can ASO guarantee more downloads? No. Relevant visibility can help acquisition, but demand, product fit, conversion, competition, and retention all matter. No metadata change guarantees a rank or download increase. ## Sources - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) - [Apple: App Store Connect Analytics dashboard](https://developer.apple.com/help/app-store-connect-analytics/overview/analytics-dashboard) - [Apple Developer: Product page optimization](https://developer.apple.com/app-store/product-page-optimization/) ## Next step [Start with a free app report](https://backmyside.com/report) See your public listing and search signals before choosing what to improve. ## Related reading https://backmyside.com/guides/app-store-keyword-research https://backmyside.com/guides/app-store-conversion-rate https://backmyside.com/blog/app-growth-metrics-that-matter --- # How to do App Store keyword research without guessing search volume Canonical URL: https://backmyside.com/guides/app-store-keyword-research Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Research Keywords: app store keyword research, ASO keyword tool, find app keywords Editorial guide; recommendations do not guarantee results. ## Quick answer Start App Store keyword research with the jobs your app performs, then expand those ideas with user language, search suggestions, and relevant competing listings. Inspect the results in the intended storefront and prioritize terms your product can credibly satisfy. Public search positions and heuristic scores help comparison, but they do not reveal Apple’s exact search volume. ## Key takeaways - Filter for relevance before looking at any opportunity score. - Compare terms in the same storefront and keep the collection date. - Separate observed facts, working assumptions, and the next action in your shortlist. ## Turn product capabilities into seed terms List the actions people can complete in your app, not just its category. A reading app might help people record finished books, set reading goals, or save quotations. Those actions suggest different search clusters. Include a term only if a new user can reach the promised function in the shipped product. Use reviews and support conversations to hear how people describe the problem. Do not treat one expressive review as a representative survey. Group similar phrases, preserve the original wording in your research notes, and record why you think each cluster fits. Illustrative seed map for a reading app; these are not measured demand estimates Job: Record finished books; Candidate: book tracker; Fit check: Can the app keep a reading history? Job: Build a reading routine; Candidate: reading goals; Fit check: Can users set and review goals? Job: Borrow an ebook; Candidate: ebook library; Fit check: Exclude if borrowing is not supported ## Inspect what the search currently means Search each candidate in your intended country and inspect the apps returned. A phrase can sound right but mostly return a different kind of product. Record whether the visible results share your use case, which promises repeat, and whether specialized apps appear alongside broad platforms. Back My Side samples Apple’s public search response, up to 200 results. The observed position can differ from a person’s on-device experience. If your app is absent, record not found in the sample rather than assigning a lower position. A response full of relevant apps tells you about competition and intent, not the number of people searching. ## Choose a shortlist you can defend Use a relevance gate before relative popularity, difficulty, or opportunity indicators. Reject a high-scoring term if it promises an unsupported feature. For the remaining candidates, inspect the result set and ask whether your app offers a recognizable reason to choose it. A useful research sheet contains the term, country, date, intended job, evidence of fit, current sampled position, and decision. Keep untested ideas in a separate queue. A small shortlist with explicit reasoning is easier to learn from than a hundred unexplained scores. - Keep a primary cluster that clearly describes the core app. - Add narrower clusters for differentiated features. - Exclude competitor brand names from your submitted keyword field. - Mark volume as unknown when you do not have a defensible source. ## Turn research into a listing and tracking plan Allocate selected ideas across the name, subtitle, and keyword field without repeating the same words unnecessarily. Read the visible text aloud: people need to understand it before the app deserves a download. Save the original listing so a change can be reversed if it creates confusion. Track a stable subset of queries and review it alongside your own App Store Connect metrics. Do not rotate the entire tracking set every week and then compare its average rank as though nothing changed. Keep new experiments separate from the baseline cohort. Repeat research when product capabilities or the intended market change. A new feature may justify a new cluster; a promising generic phrase does not justify adding a feature claim that is not true. ## Frequently asked questions ### Can I find App Store keywords before launch? Yes. Research the problem, inspect public search results, and draft a relevant shortlist before your app is public. You cannot observe your unpublished app’s search position; revisit the plan once its listing is available. ### Does a keyword tool show Apple’s exact search volume? Back My Side does not. Its public-data observations and relative heuristics should not be interpreted as official search counts, download estimates, or guaranteed opportunity. ## Sources - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) ## Next step [Explore a keyword](https://backmyside.com/explore) Inspect public search results in the storefront you plan to target. ## Related reading https://backmyside.com/guides/app-store-keyword-field https://backmyside.com/blog/long-tail-app-store-keywords https://backmyside.com/case-studies/habit-tracker-keyword-strategy --- # The App Store keyword field: how to use the 100-character limit Canonical URL: https://backmyside.com/guides/app-store-keyword-field Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Research Keywords: app store keyword field, 100 character keywords, iOS keyword field rules Editorial guide; recommendations do not guarantee results. ## Quick answer Apple’s App Store keyword field allows 100 characters in total, including separators. Use relevant comma-separated terms without spaces after commas; spaces within a multiword phrase are allowed. Avoid duplicating words from your name, subtitle, or category, and never use competing app names or unauthorized trademarks to fill the space. ## Key takeaways - A 100-character budget is a maximum, not a reason to include irrelevant words. - Draft the name and subtitle before allocating the private keyword field. - Validate the final localized field in App Store Connect before submission. ## Understand what the field is for The keyword field gives Apple additional relevant language for matching your app to searches. It is not a public description and is not exposed by a competitor’s public listing. If a research tool proposes competitor keywords, treat them as inferred ideas rather than a copy of that private field. Apple identifies text relevance and user behavior among the factors involved in search. Filling the field does not buy a position, and there is no public formula that lets you calculate the download impact of one added word. Work from product fit and observable results, not a promise of instant indexing or a guaranteed rank. ## Use the character budget deliberately Write the name and subtitle first, then remove their duplicate words from the keyword candidates. Separate entries with commas and omit spaces immediately after those separators. Apple allows spaces within keyword phrases, so the blanket rule that no spaces are ever allowed is incorrect. Keep the draft comfortably within the limit and validate the final text in App Store Connect, especially for localized scripts and punctuation. A local character counter can catch obvious mistakes, but the submission interface is the final authority on what it accepts. Illustrative field for a fictional app with name ‘PageNest’ and subtitle ‘Track your reading’ Draft: books,journal,goals,library; Decision: 27 characters including commas; use only if these features exist Draft: books, journal, goals; Decision: Remove unnecessary spaces after commas Draft: PageNest,reading,books; Decision: Remove words already used in name or subtitle Draft: A competing app’s brand; Decision: Do not submit competing app names ## Remove waste before adding more terms Apple advises against duplicate words, unnecessary plural forms, category names, and generic filler such as app. Start by cleaning those cases rather than compressing an ever larger list. Also remove claims about features the current release does not offer. Do not remove a necessary word from a phrase solely because it looks inefficient. Language and intent still matter, especially across localizations. The point is to represent useful search intentions accurately; it is not to maximize the number of disconnected tokens or assume every possible combination will rank. - Check relevance against the released app, not the roadmap. - Check name, subtitle, and category for repeated terms. - Remove competing app names and unauthorized protected terms. - Keep an archive of the previous field and the reasoning for each replacement. ## Review changes as an experiment, not a ranking trick Save the old field, draft, locale, release time, and target queries together. Watch for availability or processing issues before interpreting a missing observation as a failed keyword choice. Public search sampling cannot tell you with certainty that a private keyword was indexed at a particular moment. Compare a consistent query cohort over a defined window and review your own acquisition metrics separately. A metadata update is not a randomized experiment: changes in ads, seasonality, competitors, and the app itself may coincide. If the result is ambiguous, retain that uncertainty rather than rewriting the field every day. Maintain a separate draft per supported localization. Translating the English list word for word can waste the budget on unnatural language and miss how people actually search in that market. ## Frequently asked questions ### Do commas count toward the 100-character keyword limit? Yes. The limit applies to the total field, including commas and spaces. Remove unnecessary spaces after comma separators and validate the submitted text in App Store Connect. ### Can I see a competitor’s App Store keyword field? Not through its public listing. Public metadata and search results can suggest candidate terms, but they do not reveal the private keyword field. ### Should I repeat my app title in the keyword field? Apple advises against repeating words already in the app name, subtitle, or category. Use that limited space for other accurate, relevant terms instead. ## Sources - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) ## Next step [Audit your public listing](https://backmyside.com/report) Use your listing context to plan a cleaner keyword draft. Your private field is not fetched from Apple. ## Related reading https://backmyside.com/guides/app-title-subtitle https://backmyside.com/blog/app-store-keyword-mistakes https://backmyside.com/case-studies/budget-app-metadata-makeover --- # How to write an App Store title and subtitle that make sense Canonical URL: https://backmyside.com/guides/app-title-subtitle Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Convert Keywords: app store title, app subtitle examples, ASO title optimization Editorial guide; recommendations do not guarantee results. ## Quick answer Use the app name to establish a recognizable identity and the subtitle to explain a concrete benefit or use case. Apple allows up to 30 characters for each field. Include relevant search language naturally, avoid repeating the same idea in both fields, and support every visible promise in the actual app. ## Key takeaways - The name and subtitle are both discovery text and a promise to a person. - A clear differentiator is more useful than a chain of generic keywords. - Metadata variants saved in a tool are drafts, not live randomized Apple tests. ## Give each field a different job A useful name is distinctive enough to remember and clear enough to connect with the app. A useful subtitle expands the promise with a feature, audience, or outcome. If both fields say habit tracker in different orders, you may have spent scarce space without adding information. Choose language based on the intended user rather than the internal feature name. A developer might call a feature recurring event persistence; a user might call it a daily routine. Research can help identify that language, but the final visible text still needs to read like a product, not a search query export. ## Write contrasting drafts, not tiny word shuffles Create two or three genuinely different positioning directions. One might lead with the main task, another with the differentiating workflow. Keep the underlying product promise accurate across all of them. Reject a clever draft if a new visitor cannot tell what the app does. The following examples are fictional copy exercises, not measured winners. A phrase like reminders belongs in the subtitle only when reminders are available in the app under conditions the user can understand. Illustrative metadata directions; each field is under 30 characters Name: Daystep: Habit Tracker; Subtitle: Small routines, clear progress; Positioning: Core task plus progress Name: Daystep: Daily Routines; Subtitle: Build habits with reminders; Positioning: Routine plus supported feature Name: Daystep; Subtitle: A simple habit journal; Positioning: Brand plus simple use case ## Review meaning, fit, and submission constraints Read each pair at the size someone encounters in a search result. Look for ambiguous claims, jargon, missing context, and repetition. Ask a few people in the intended audience what they think the app does before showing them the answer. That small exercise is qualitative feedback, not a conversion benchmark. Check the 30-character limits in the final language and in App Store Connect. Avoid unsupported superlatives and unauthorized brand references. Preserve an established app identity deliberately: a more keyword-heavy name can make returning users less sure that they have found the right product. - Can someone identify the main job from the pair? - Is the distinguishing benefit actually supported? - Do the first screenshots demonstrate the same promise? - Have you checked how the translated text reads, not just its length? ## Separate copy planning from outcome measurement Back My Side can help you inspect the public listing and prepare changes, but it does not publish your metadata in App Store Connect. Saving variants is not the same as running an Apple product page optimization test. Apple’s native PPO tests cover eligible icons, screenshots, and previews, not title or keyword-field randomization. If you publish a name or subtitle update, log the version, date, storefront, and simultaneous marketing changes. Compare search and conversion evidence over a consistent period, and keep the old draft available. A before-and-after improvement may justify further investigation, but it does not isolate the wording as the cause. Use feedback from acquired users too. Copy that wins attention by setting the wrong expectation is not a durable growth improvement. ## Frequently asked questions ### What is the App Store subtitle character limit? Apple allows up to 30 characters for the subtitle and up to 30 for the app name. Validate each localized version in App Store Connect. ### Can Apple product page optimization test my app title? Native product page optimization tests alternate icons, screenshots, and app previews. It does not randomize app names, subtitles, or keyword-field variants. ## Sources - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple Developer: Product page optimization](https://developer.apple.com/app-store/product-page-optimization/) ## Next step [Review your current metadata](https://backmyside.com/report) Start with the public name and listing before drafting the next version. ## Related reading https://backmyside.com/guides/app-store-keyword-field https://backmyside.com/blog/screenshot-keyword-message-match https://backmyside.com/case-studies/budget-app-metadata-makeover --- # App Store rank tracking: how to read keyword positions responsibly Canonical URL: https://backmyside.com/guides/app-store-rank-tracking Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Measure Keywords: app store rank tracking, track app keyword rankings, ASO rank tracker Editorial guide; recommendations do not guarantee results. ## Quick answer Track the same app, keyword, and storefront over time, and retain the timestamp and source of each observation. Back My Side positions come from sampled Apple public search results, not a universal on-device ranking. An app missing from a sample has an unknown position beyond that observation; it is not automatically rank 201, zero, or a lost download. ## Key takeaways - App ID, exact query, storefront, and observation date define a comparable series. - Distinguish an absent app from a failed or missing collection. - Rank trends describe visibility; use your own analytics to evaluate acquisition. ## Choose a stable group of queries Build a tracking cohort around your main product job and a few meaningful differentiators. Include your brand if you need a basic discoverability check, but review branded and non-branded terms separately. A strong branded position does not demonstrate that new people are finding your category use case. Record the exact query and country alongside the app ID. Changing a plural, language, or storefront can change the results. If you add new terms later, mark their start date and do not compare an average over the expanded set with an earlier average over different terms. ## Represent missing data honestly Back My Side inspects up to 200 results from Apple’s public search response. The response may differ from personalized device results and may contain fewer items. Being absent from that sample does not reveal the app’s true lower position or whether every person would fail to find it. Collection failures and uncollected days are a separate state. Drawing a line through them as though they were unchanged ranks hides uncertainty. Likewise, substituting 201 for every missing app creates a numeric change that was never observed. How to interpret a tracking observation Observation: Found at position 18; What it supports: Position 18 in that public response; What it does not support: Everyone sees the app at 18 Observation: Not found in sample; What it supports: Absent from the returned results; What it does not support: Known position 201 Observation: No successful snapshot; What it supports: No usable observation; What it does not support: Rank unchanged or ranking lost ## Annotate releases and outside influences Keep a dated change log for metadata releases, product updates, major campaigns, storefront changes, and tracking configuration. It creates context for an unusual movement. It does not prove that the nearest event caused it. When a term drops, check freshness and availability before changing the listing. Inspect whether the entire cluster moved, whether other storefronts changed, and whether new competitors or different result types appeared. A single noisy observation is a poor reason to replace a relevant keyword. - Check app ID, country, query, and successful collection first. - Compare a consistent period and a stable keyword set. - Look at query-level movement rather than only an average. - Record uncertainty if several changes happened together. ## Connect visibility to outcomes without inventing attribution Use App Store Connect to investigate impressions, downloads, and conversion with consistent filters. A better sampled position may coincide with no meaningful acquisition change if the term has little demand, the page does not convert, or traffic elsewhere declines. Public results alone cannot decide which explanation is correct. Tracking in Back My Side is subject to account and plan limits. History begins with collected snapshots; it is not a reconstruction of days before tracking started. Check the pricing page for current limits rather than assuming an unlimited or complete historical dataset. At the end of a review, write the action and the evidence behind it. Keep the stable cohort even if you start a separate experiment, so you do not lose your reference point. ## Frequently asked questions ### Why does my iPhone show a different keyword rank? Back My Side samples Apple’s public search response. On-device results can differ with context, personalization, and result presentation. Treat the public position as a consistent research observation, not a universal rank. ### Can the tracker show rankings from before I added a keyword? History reflects snapshots actually collected by the service. It cannot reconstruct an unobserved past, and missing days should remain missing rather than being filled with invented positions. ## Sources - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple: App Store Connect Analytics dashboard](https://developer.apple.com/help/app-store-connect-analytics/overview/analytics-dashboard) ## Next step [Open your rank tracker](https://backmyside.com/tracker) Build a stable observation history. Sign-in and plan limits apply. ## Related reading https://backmyside.com/blog/why-app-keyword-rankings-drop https://backmyside.com/blog/aso-weekly-review https://backmyside.com/case-studies/reading-app-rank-diagnosis --- # App Store conversion rate optimization: diagnose before you redesign Canonical URL: https://backmyside.com/guides/app-store-conversion-rate Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Convert Keywords: app store conversion rate, app store conversion optimization, product page optimization Editorial guide; recommendations do not guarantee results. ## Quick answer Improve App Store conversion by matching the listing to visitor intent, making the core benefit easy to see, and removing misleading promises. Define the conversion metric and filters before comparing results; downloads divided by page views is not interchangeable with a rate based on unique impressions. Use Apple’s product page optimization for eligible creative tests and keep acquisition quality in view. ## Key takeaways - Always state the denominator, source, territory, and period for a conversion rate. - Test a clear hypothesis rather than redesigning everything simultaneously. - An attractive listing cannot fix a product that fails its promise after install. ## Agree on which conversion you mean Conversion rate can refer to different steps depending on the dashboard or a team’s custom calculation. Open the metric definition in App Store Connect and record exactly what is counted. Do not put a page-view-based spreadsheet rate next to an impression-based platform rate and call the difference an improvement. Use the same source, territory, device scope, and time window on both sides of a comparison. Search-source traffic may include Apple Ads. A campaign targeting a different audience can change the observed rate even when the listing stays unchanged. Illustrative arithmetic, not an App Store benchmark Custom calculation: 100 downloads / 1,000 chosen eligible observations; Result: 10%; Meaning: The denominator must be defined Custom calculation: 120 / 1,000 with the same definition; Result: 12%; Meaning: Increase of 2 percentage points Custom calculation: (12% − 10%) / 10%; Result: 20% relative increase; Meaning: Not a 20 percentage-point increase ## Find the mismatch in the visitor journey Review the product page from the perspective of the query or campaign that brought someone there. If the visitor wants shared grocery lists and sees a generic productivity pitch, the problem may be message fit rather than visual polish. Show the relevant action and explain how it works. Inspect the app name, subtitle, first screenshots, icon, reviews, and any important commercial limitations together. A confusing subscription promise or an unsupported feature claim can matter more than a background color. Qualitative interviews and support questions help generate hypotheses but do not establish a universal conversion lift. ## Design one understandable creative test For eligible apps, Apple’s product page optimization lets you test alternate icons, screenshots, and app previews with randomly allocated eligible traffic. It is not a keyword-field or app-title test. Prepare a hypothesis such as showing the shared-list workflow first will communicate collaboration more clearly than a generic overview. Choose a small number of treatments and use Apple’s test estimates to assess whether the available traffic can support a useful result. More variants divide the evidence. Submit the necessary assets for review and avoid changing unrelated campaign conditions if you want the result to be easier to interpret. - Write the hypothesis and primary metric before starting. - Keep treatment changes focused enough to explain. - Check required localizations, asset eligibility, and review status. - Let inconclusive results remain inconclusive. ## Evaluate the result and the users it attracts Use Apple’s reported test status and uncertainty rather than stopping at the first favorable daily fluctuation. A treatment that looks ahead early can regress as more traffic arrives. If the test cannot gather enough evidence, document that limitation and consider a larger, clearer hypothesis instead of declaring a winner. After adopting a treatment, review downstream activation and retention in your own analytics where available. A download is only one step in app growth. If the creative implies a feature or pricing arrangement users do not actually receive, improving the promise is more important than celebrating a rate. Back My Side provides public listing and search context. It does not access private App Store Connect conversion data or execute Apple PPO experiments for you. ## Frequently asked questions ### What is a good App Store conversion rate? There is no defensible universal target without the metric definition, source, territory, category, and traffic mix. Compare consistent internal periods and appropriate App Store Connect peer context where available, rather than copying an unsourced benchmark. ### Can keyword rank changes prove conversion improved? No. A public keyword position is a visibility observation. Conversion requires consistently defined acquisition data, and causal claims require an appropriate experiment rather than a rank chart. ## Sources - [Apple: App Store Connect Analytics dashboard](https://developer.apple.com/help/app-store-connect-analytics/overview/analytics-dashboard) - [Apple Developer: Product page optimization](https://developer.apple.com/app-store/product-page-optimization/) - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) ## Next step [Inspect your app listing](https://backmyside.com/report) Use public listing context to prepare a better-informed conversion hypothesis. ## Related reading https://backmyside.com/blog/screenshot-keyword-message-match https://backmyside.com/blog/app-growth-metrics-that-matter https://backmyside.com/guides/app-title-subtitle --- # App Store localization: research keywords and promises market by market Canonical URL: https://backmyside.com/guides/app-store-localization Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Expand Keywords: app store localization, localized ASO keywords, international app growth Editorial guide; recommendations do not guarantee results. ## Quick answer App Store localization means adapting the listing’s language and promise for an intended audience, not just translating an English keyword list. Research local search terms, verify that the app can serve that audience, and align metadata, screenshots, support, and pricing explanations. A storefront is a territory and a localization is language-specific content; they are related but not interchangeable. ## Key takeaways - Choose markets based on product readiness and evidence, not unsupported volume estimates. - Native-language review should test intent and meaning as well as grammar. - Measure each territory separately and preserve its baseline. ## Check whether the product can deliver locally Start with the app itself. Can people complete the key workflow in the intended language? Are currencies, dates, units, notifications, and support expectations appropriate? A translated page can attract an audience that the product is not yet ready to help. List the operational constraints before ranking markets. A budgeting app may depend on supported institutions or currencies; a fitness app may need accurate unit conversion and understandable exercise instructions. Do not imply banking access, medical advice, or a local service simply because a translated term seems attractive. ## Research language and storefront separately An App Store territory determines the market you are inspecting; a localization supplies language-specific listing content. More than one language may matter within a market. Follow Apple’s localization configuration guidance rather than assuming that one translated field is displayed identically to every user in that country. Collect candidate phrases from local user language and inspect public results in the intended storefront. Ask a fluent reviewer what each phrase implies. Literal translation can change a specialist term into a broader or different job, and autocomplete suggestions are not official demand counts. A localization brief to complete before drafting Decision: Audience; Question to answer: Which language and use case are we supporting? Decision: Capability; Question to answer: Can the released app fulfill the local promise? Decision: Search intent; Question to answer: Do returned apps match our actual workflow? Decision: Operations; Question to answer: Can support, payments, and content serve this audience? Decision: Measurement; Question to answer: Which territory and metrics define the baseline? ## Adapt the whole promise, not only keywords Draft the localized name, subtitle, and keyword field as a set. Apple’s name and subtitle limits remain 30 characters each, with a 100-character keyword field. Recheck duplication and fit in the target language rather than preserving the shape of the English text at all costs. Review screenshots for text expansion, real UI language, cultural clarity, and locally meaningful examples. If the screenshot shows a function unavailable in that market, replacing the caption does not solve the mismatch. Promotional text and the description should explain the same accurate offer. - Validate final text in App Store Connect. - Review real screens, not only a translation spreadsheet. - Check that pricing and subscription explanations remain accurate. - Have a fluent reviewer challenge ambiguous promises. ## Roll out one interpretable market experiment Start with a manageable scope and record the publication date, local metadata, relevant query cohort, and any new campaigns. Observe public positions as research evidence and use your own App Store Connect account for territory-filtered acquisition outcomes. Do not rank markets by a public competitor’s rating count alone. Ratings have context, public samples have limits, and neither is a forecast of your revenue. Likewise, do not combine all countries into one average and lose the ability to see where the product is actually serving people. Review customer feedback and product usage alongside acquisition. If the market reveals a missing product capability, fix that gap before expanding the same promise to more languages. An orderly rollout creates reusable learning; translation volume alone does not. ## Frequently asked questions ### Is translating App Store keywords enough for localization? No. Local search intent, screenshots, product UI, support, and commercial details also need to fit the audience. A translated keyword can attract the wrong users if the product cannot deliver the implied feature. ### Are App Store country and language the same thing? No. A storefront is a territory; a localization provides language-specific information. Review Apple’s configuration and fallback guidance and check the actual listing experience for your intended audience. ## Sources - [Apple: Localize App Store information](https://developer.apple.com/help/app-store-connect/manage-app-information/localize-app-store-information/) - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) ## Next step [Research a local keyword](https://backmyside.com/explore) Compare public search context in an available storefront before translating your shortlist. ## Related reading https://backmyside.com/blog/choosing-app-store-localization-markets https://backmyside.com/case-studies/fitness-app-localization-plan https://backmyside.com/guides/app-store-rank-tracking --- # An app launch ASO checklist: from first listing to first growth review Canonical URL: https://backmyside.com/guides/app-launch-checklist Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Launch Keywords: app launch ASO checklist, iOS app launch marketing, first app growth plan Editorial guide; recommendations do not guarantee results. ## Quick answer Before launching an iOS app, define the audience, research a focused keyword set, prepare accurate metadata and screenshots, and decide how you will measure acquisition and product value. After the listing goes live, verify availability, collect a baseline, and improve one clear bottleneck at a time. This is a growth checklist, not a substitute for Apple’s complete technical and App Review requirements. ## Key takeaways - Prepare measurement before launch-day activity changes the baseline. - A smaller, accurate listing beats a broad promise the app cannot deliver. - The first month should produce learning, not a guaranteed download target. ## Before submission: define the promise Write one sentence describing who the app serves and which task it makes easier. Use that sentence to judge every keyword and screenshot. If the launch targets several unrelated audiences at once, choose the one the released product can serve most convincingly. Research candidate language through public results, user conversations, and relevant listings. You can do this before the app is public, but you cannot observe an unpublished app’s rank. Treat your shortlist as a hypothesis and save the reasoning, not as a confirmed source of traffic. - Name the first audience and storefront. - Map supported features to a focused search-intent shortlist. - Remove unsupported claims and competitor brand names. - Record unknowns you will revisit after publication. ## Prepare a consistent, accurate product page Check the name and subtitle against Apple’s 30-character limits and the keyword field against its 100-character budget. Avoid duplication and unnecessary filler. Write the description for a person deciding whether the app fits their needs, not as a repeated block of keywords. Show real product UI in screenshots and make the first useful images support the primary promise. Review text legibility, localization, feature availability, and important commercial conditions. Use Apple’s current submission references for all required assets and platform-specific sizes; this ASO checklist does not replace those requirements. Launch listing review Asset: Name and subtitle; Growth question: Can someone identify the main job? Asset: Keyword field; Growth question: Are the additional terms accurate and nonduplicative? Asset: Screenshots; Growth question: Do the first images demonstrate the promise? Asset: Description; Growth question: Are features and important limitations understandable? Asset: Localization; Growth question: Does the product support the audience being invited? ## When the listing is live: verify before optimizing Resolve the App Store link and confirm the app ID and intended country. Check availability and the actual public name, screenshots, and description. A missing or stale observation immediately after publication is not a reliable diagnosis of keyword quality. Run a public listing report to establish research context. In your own App Store Connect account, establish the acquisition and product metrics you can access, their definitions, and their filters. Keep launch announcements and paid activity in a dated log so their effects are not casually attributed to metadata. ## Use the first month to build a learning routine Choose a stable query cohort for tracking and a regular review cadence that fits your traffic. An illustrative plan is to use the first review for availability and obvious confusion, the next for search-intent fit, and later reviews for one focused listing or product improvement. This is a planning sequence, not a forecast that growth arrives on a specific day. If discovery is weak, investigate relevance and market context. If people download but fail to complete the core action, inspect onboarding and product reliability. If traffic is too sparse to judge a test, gather qualitative feedback and avoid manufacturing a statistically meaningful winner. Finish each review with a short decision record: evidence, uncertainty, next action, and what would change your mind. That creates a repeatable app-growth journey instead of a one-time launch burst followed by unexplained edits. ## Frequently asked questions ### Can I use Back My Side before my app is published? You can research public keywords and competing listings before launch. An app-specific public report needs an accessible App Store listing; the tool cannot rank or inspect an unpublished private build. ### How many downloads should I expect in the first month? This checklist cannot forecast downloads. Demand, distribution, product fit, conversion, and competition vary. Set learning milestones and track real acquisition rather than using an invented universal launch target. ## Sources - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple: App Store Connect Analytics dashboard](https://developer.apple.com/help/app-store-connect-analytics/overview/analytics-dashboard) ## Next step [Analyze your live app](https://backmyside.com/report) Once the listing is public, establish your first research baseline without an account. ## Related reading https://backmyside.com/blog/pre-launch-keyword-research https://backmyside.com/guides/app-store-optimization https://backmyside.com/blog/aso-weekly-review --- # Back My Side vs SnapMonk: ASO research and screenshot creation compared Canonical URL: https://backmyside.com/blog/back-my-side-vs-snapmonk Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Research Keywords: Back My Side vs SnapMonk, SnapMonk comparison, ASO research and screenshot tools Editorial guide; recommendations do not guarantee results. ## Quick answer [Explore SnapMonk](https://snapmonk.com/) For screenshot creation, evaluate SnapMonk: it advertises AI captions, layouts, device frames, and localized variants. Back My Side focuses on public App Store listing research, keyword exploration, and collected rank snapshots. SnapMonk also advertises ASO reports and tracking, so choose by the work you need to finish rather than assuming you need both. ## Key takeaways - Both products cover ASO research; screenshot creation is the clearest difference in this comparison. - Back My Side uses public Apple data, not private App Store Connect analytics or official search volume. - SnapMonk's advertised creative features are a reason to evaluate it, not proof of a conversion lift. ## What this comparison does—and does not—establish This is a publisher-authored comparison from Back My Side, not an independent product ranking. We checked SnapMonk's public homepage and feature pages on 8 September 2026 and compared their stated capabilities with Back My Side's current workflow. We did not run a controlled speed test, purchase every plan, or measure install outcomes. SnapMonk feature descriptions below are vendor-published claims, not our certification of its output. That distinction matters because ASO tools can use similar names for different measurements. A keyword score, a sampled search position, and a screenshot export solve different problems. Decide which deliverable you need this week, then check whether a product can produce it with the evidence, permissions, and editing control you require. A long feature list is not automatically a better fit for a focused launch. ## Feature comparison: where the workflows overlap Back My Side starts with public App Store research: inspect a listing, explore a query in a chosen storefront, and keep collected observations for later review. SnapMonk's homepage also advertises ASO reports and rank tracking. Calling it only a design tool would leave out that overlap. Its additional creative workflow is the more useful distinction for someone comparing the two. The table describes capability scope, not a quality score. In particular, an Android screenshot export is not evidence of Google Play keyword coverage, and a keyword report is not access to an app's private acquisition data. Verify a specific store, locale, export requirement, and account allowance before making a purchase decision. Workflow comparison, reviewed 8 September 2026; SnapMonk features are vendor-described Task: Research a public App Store listing; Back My Side: Public listing reports and keyword exploration; SnapMonk: Advertises ASO reports from an App Store URL Task: Observe keyword positions; Back My Side: Collected public-search snapshots; up to 200 returned results; SnapMonk: Advertises rank tracking and daily history; verify coverage and method Task: Create screenshot artwork; Back My Side: No screenshot generator; SnapMonk: Advertises AI captions, backgrounds, layouts, and device framing Task: Prepare visual locale variants; Back My Side: Research can inform a local brief; no image generation; SnapMonk: Advertises localized screenshot text variants Task: Export store images; Back My Side: No image-export workflow; SnapMonk: Advertises iPhone, iPad, and Android screenshot exports Task: Prove an App Store conversion change; Back My Side: No private App Store Connect analytics integration; SnapMonk: Creative features alone do not establish an experimental result ## When Back My Side fits the immediate job Start with Back My Side if the unanswered question is about positioning: Which task does this listing communicate? What kinds of apps appear for a candidate phrase? Which storefront should the team investigate next? The first public-listing report needs no account. Saving work and tracking depend on sign-in and current plan limits, so use the pricing page for the access available to your account. Read the output within its limits. Positions are samples from Apple public search responses containing up to 200 results, not official or personalized on-device ranks. Relative popularity and difficulty are heuristics, not search-volume counts or download forecasts. A missing result is not a known rank of 201. Back My Side cannot retrieve a competitor's private keyword field, publish your metadata, or tell you whether a screenshot caused more installs. [Understand keyword scores before comparing ASO reports](https://backmyside.com/blog/keyword-popularity-vs-search-volume) ## When SnapMonk is the more relevant tool to evaluate If you already know the audience and need a screenshot set, we recommend evaluating SnapMonk for that production task. Its public feature pages describe turning app screens and a brief into captions, backgrounds, device framing, and localized variants. That is a capability Back My Side does not provide. SnapMonk also advertises its own ASO tools, so it may cover the research you need without a second subscription. Evaluate it with one real, non-sensitive app screen before committing to a larger workflow. Check whether the interface remains accurate, the caption is editable enough for your needs, and the exported file meets the current store specification. Try the longest translation you expect to ship. Our recommendation is based on the advertised workflow fit; it is not a claim that we measured faster production, better rankings, or higher conversion than another tool. [Explore SnapMonk's screenshot and ASO tools](https://snapmonk.com/) ## Compare the cost of a finished task, not just the plan price Research allowances and image-render credits are different units. Estimate the apps and storefronts you need to investigate, the keywords you want to observe, and the screenshot revisions and languages you need to produce. SnapMonk describes credit-based AI rendering on its homepage; confirm how regeneration, export access, and any trial limits work in the current plan. Check Back My Side's current pricing separately rather than assuming equivalent allowances. There is no reason to buy both products merely because they appear in a comparison. If you do use both, treat the connection as a manual workflow, not an advertised integration: write down a supported user task from your research, prepare a screenshot brief, and create the artwork in SnapMonk. Keep the submitted assets and experiment notes in your own release records. Neither a shared keyword nor a copied brief synchronizes the two accounts. [Check current Back My Side plans and limits](https://backmyside.com/pricing) ## A practical decision for the next release For a hypothetical habit app with unclear positioning, first research whether the real promise is a flexible routine, a daily reminder, or a streak record. If the app already has a credible message but only unframed, hard-to-read screen captures, screenshot production is the more direct next step. These are illustrative decisions, not customer results. The bottleneck determines the tool, and it can change between releases. After creating assets, verify them against the shipping app and submit them through your normal store workflow. For eligible iOS and iPadOS product pages, Apple's product page optimization can compare alternate screenshots with randomized exposure. A later rank increase or a prettier export does not prove a screenshot improved conversion. Keep research observations, production quality, and measured acquisition outcomes separate when judging whether either product earned its place. [Why screenshots matter before you choose a production tool](https://backmyside.com/blog/why-app-store-screenshots-matter) ## Frequently asked questions ### Is SnapMonk only a screenshot generator? No. As reviewed on 8 September 2026, its homepage also advertises ASO reports and rank tracking. Screenshot creation is an additional workflow that Back My Side does not offer, not the only feature SnapMonk describes. ### Do I need both Back My Side and SnapMonk? Not necessarily. Choose according to the task and current allowances. If you use both, you can manually turn research into a screenshot brief, but this article does not describe an account integration or automatic data transfer. ### Which tool guarantees more App Store downloads? Neither this comparison nor a tool's feature list establishes a download guarantee. Evaluate research relevance, asset accuracy, and actual store outcomes separately. Use Apple's experiment results where appropriate rather than attributing every change after a release to one tool. ## Sources - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) - [Apple Developer: Product page optimization](https://developer.apple.com/app-store/product-page-optimization/) - [SnapMonk: product overview and advertised ASO capabilities](https://snapmonk.com/) - [SnapMonk: advertised screenshot-generation features](https://snapmonk.com/features) ## Next step [Start with a public listing report](https://backmyside.com/report) Use Back My Side to investigate the listing before deciding whether your next task is keyword research, screenshot production, or measurement. ## Related reading https://backmyside.com/blog/why-app-store-screenshots-matter https://backmyside.com/guides/app-store-keyword-research https://backmyside.com/guides/app-store-rank-tracking --- # Why App Store screenshots matter—and the tool we recommend Canonical URL: https://backmyside.com/blog/why-app-store-screenshots-matter Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Convert Keywords: why App Store screenshots matter, app store listing screenshots, screenshot creation tool, SnapMonk screenshots Editorial guide; recommendations do not guarantee results. ## Quick answer [Create screenshots with SnapMonk](https://snapmonk.com/) App Store screenshots help people understand and evaluate your app before downloading, both in search results and on the product page. We recommend evaluating SnapMonk for creating the visual assets. Review every image against the real app and measure results in Apple's tools; polished screenshots do not guarantee more downloads. ## Key takeaways - Screenshots should demonstrate a useful experience, not just decorate the listing. - Make the opening images understandable at search-result size and faithful to the shipping app. - Use SnapMonk for screenshot production; verify output quality and test the result separately. ## Screenshots do useful work before someone opens your app A prospective user cannot inspect your onboarding or explore your navigation from a search result. Screenshots supply a preview of that experience: the main action, the information on screen, and the result a person can expect. A name may identify the category and a subtitle may state the promise, but a screenshot can show whether that promise corresponds to a recognizable product. Apple allows up to ten screenshots on App Store and Mac App Store product pages. Its product-page guidance says the first one to three images can appear in search results, depending on orientation, when no app preview is available. This makes the opening images important outside the full gallery too. It does not establish a universal percentage of downloads caused by screenshots, and this guide does not claim one. ## Visual proof is more useful than a decorative promise Consider a hypothetical receipt app. A large headline saying Get organized is less informative than an actual receipt grouped into a trip folder with the export action visible. The second treatment gives a visitor something concrete to evaluate. The example is illustrative, not a tested winner: the point is to connect the claim to evidence rather than make every app use the same layout. Trust also depends on what you leave out. Do not invent controls, fake a bank connection, or show a paid capability as though it were included for everyone. Apple advises using images captured from the app's UI to communicate the experience. Use safe demonstration data and remove personal details before uploading screens to any design service; keep the underlying workflow authentic even when the sample content is fictional. ## Design for a small preview, not only a presentation canvas An attractive full-size composition can become unreadable when reduced to a narrow search card. Review the whole image at a realistic display size: the benefit should be understandable without zooming, and the most important UI detail should not disappear beneath a caption or frame. A decorative background earns its place only if it helps the viewer distinguish and understand the app. Give each image one main job. The opening image introduces the core task, later images explain the workflow, and a final image can address a relevant uncertainty such as export or offline access if supported. Do not use every available slot just to repeat the same claim. This article covers why screenshots deserve attention; the linked message-match guide goes deeper into turning a researched search intent into a specific sequence. [Build a screenshot sequence around search intent](https://backmyside.com/blog/screenshot-keyword-message-match) ## Our recommended screenshot tool: SnapMonk For teams that need to turn raw app screens into listing artwork, our recommendation is to evaluate SnapMonk. Its public pages describe AI-generated captions, backgrounds, layouts, and device frames, plus localized variants and screenshot exports for Apple and Android devices. These functions address the production work between having a usable app screen and preparing a consistent visual set. Back My Side does not generate screenshots. This is a Back My Side editorial recommendation based on SnapMonk's publicly described workflow, reviewed on 8 September 2026—not an independent hands-on benchmark or evidence of a conversion lift. Test it with a real screen and a narrow brief. Confirm current pricing, credit usage, editing controls, export dimensions, and data-handling terms before adopting it. A tool can help produce options; your team remains responsible for the accuracy of every asset submitted. [Create app listing screenshots with SnapMonk](https://snapmonk.com/) ## Give the tool a brief it can actually follow Prepare the audience, the supported task, the screen proving that task, and the claim you want the caption to make. For an illustrative receipt-app brief, that might be: frequent travelers; grouping receipts by trip; the shipping folder screen; Keep each trip's receipts together. Add boundaries such as Do not imply automatic tax filing. A specific brief gives you a concrete basis for accepting or rejecting generated copy. Review each language and device output rather than assuming one successful render validates the whole set. Longer text can cover a control; a translated caption can promise a feature unavailable in that market; a tablet frame can conceal that the app uses a different tablet layout. Check the latest Apple screenshot specifications at export time instead of relying on a device-size list embedded in an old tutorial or marketing page. Pre-submission screenshot quality checklist Check: Product truth; What to verify: The pictured screen and capability exist in the release; Reason to revise: Invented UI or an unavailable workflow Check: Legibility; What to verify: The main message and supporting screen survive a small preview; Reason to revise: Clipped captions, weak contrast, or tiny proof Check: Access conditions; What to verify: Material paid-feature or account requirements are not misrepresented; Reason to revise: An image implies access the user will not receive Check: Localization; What to verify: Caption, example content, and regional availability agree; Reason to revise: Literal translation changes the meaning or overflows Check: Export; What to verify: Actual file dimensions and format meet current store requirements; Reason to revise: Correct-looking frame but an unsuitable output file ## Measure the result without inventing a screenshot growth claim For eligible iOS and iPadOS listings, Apple's product page optimization lets you compare alternate icons, screenshots, and app previews using randomized exposure. Define a visual question and keep unrelated elements stable enough to interpret it. Review Apple's reported evidence and uncertainty; an attractive first day is not a reason to declare the design a winner. Lower-traffic tests may not provide a clear answer. If you replace screenshots and compare two periods instead, record changes in traffic sources, countries, releases, and campaigns. That is an observational comparison, not proof that the artwork caused the movement. Back My Side's sampled ranks cannot measure screenshot conversion, and it does not read App Store Connect analytics. Use your first-party store reporting and avoid treating screenshot captions as an extra keyword field or a ranking guarantee. [Choose the right App Store conversion metric](https://backmyside.com/guides/app-store-conversion-rate) ## Choose the next action for your listing If visitors cannot tell what the app does, improve the first visual explanation before polishing every background. If the explanation is clear but the artwork is inconsistent, use a production tool such as SnapMonk to explore a coherent set. If you already have plausible alternatives, spend the next effort on a test plan rather than creating more unmeasured variants. These actions address different problems and should not be collapsed into a single design score. When positioning is still uncertain, research the audience and public search context before writing a screenshot brief. Back My Side can support that research, while SnapMonk also advertises ASO capabilities alongside its creative features. You do not automatically need both. Keep the objective simple: make a truthful promise easier to understand, then use appropriate evidence to find out whether the new listing serves prospective users better. [Compare Back My Side and SnapMonk by workflow](https://backmyside.com/blog/back-my-side-vs-snapmonk) ## Frequently asked questions ### Do better screenshots guarantee more downloads? No. Clear screenshots can help people understand and evaluate an app, but results depend on the product, audience, traffic, and other listing elements. Use an eligible randomized product page optimization test where appropriate and do not promise a universal conversion lift. ### Why does Back My Side recommend SnapMonk for screenshots? SnapMonk advertises a screenshot-production workflow with AI captions, layouts, device frames, and localized variants. Those are creative tasks Back My Side does not perform. The recommendation is based on public feature descriptions, not an independently measured performance advantage. ### Can I publish an AI-generated screenshot without checking it? No. Check that the image represents the actual app, uses appropriate demonstration data, remains legible, and meets current store specifications. Review translations and any access claims too. Generating an image does not establish that it is accurate or approved for the store. ## Sources - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) - [Apple Developer: Product page optimization](https://developer.apple.com/app-store/product-page-optimization/) - [Apple: Localize App Store information](https://developer.apple.com/help/app-store-connect/manage-app-information/localize-app-store-information/) - [Apple: current screenshot specifications](https://developer.apple.com/help/app-store-connect/reference/screenshot-specifications/) - [SnapMonk: advertised screenshot-production features](https://snapmonk.com/features) - [SnapMonk: screenshot generator overview](https://snapmonk.com/screenshot-generator) ## Next step [Research the audience behind your screenshots](https://backmyside.com/explore) Use public search context to clarify your screenshot brief. Back My Side informs research; create and review the visual assets separately. ## Related reading https://backmyside.com/blog/screenshot-keyword-message-match https://backmyside.com/blog/back-my-side-vs-snapmonk https://backmyside.com/guides/app-store-conversion-rate --- # Pre-launch keyword research: choose a promise before a keyword list Canonical URL: https://backmyside.com/blog/pre-launch-keyword-research Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Launch Keywords: pre-launch keyword research, app launch positioning, keyword shortlist Editorial guide; recommendations do not guarantee results. ## Quick answer Start with the task your first release can complete, then investigate how people might search for that task in one storefront. Choose a small, relevant keyword cluster and document why each term belongs. Before launch, this is a positioning hypothesis, not evidence that your app will rank. ## Key takeaways - Require a working feature behind every launch keyword. - Research one storefront before extending the same assumptions elsewhere. - Preserve the launch hypothesis so later observations have context. ## Start with a task the first release actually completes A launch shortlist should begin with a product boundary, not the broadest category word. Imagine a home-exercise timer that alternates work and rest, saves routines, and plays audible cues, but cannot create training plans. Interval timing is a credible promise; personalized coaching is misleading. Describe who uses the app, in what situation, and what they finish. Translate that sentence into candidate searches, preserving the intent beside each phrase. Natural wording is not validated demand: interviews and public search results provide different evidence. ## Inspect the result context in one launch storefront Search candidate phrases in the intended country and inspect the apps that appear. Look for the dominant task: an exercise timer query might return workout tools, while a general timer query may mix cooking, study, and utility apps. That mixture helps you understand ambiguity, not count the people making each search. Back My Side uses Apple public search and lookup data, with positions sampled in up to 200 results. These are not personalized device rankings or official search-volume figures. If your app is not yet public, research comparable live apps and candidate terms; a public lookup cannot audit an unpublished listing or establish its future position. ## Make inclusion a decision, not a score threshold For the hypothetical timer, keep phrases that describe the working routine builder and reject phrases requiring an absent coaching service. Use relative popularity and difficulty as heuristic comparison aids, never as a reason to override relevance. A less impressive score can still accompany the clearest promise your app can honestly deliver. Give every shortlisted phrase an owner and a visible proof point. If the team cannot show the promised behavior in a screenshot or a short walkthrough, move the phrase to the product backlog rather than the launch metadata. This prevents future features from quietly becoming present-tense acquisition claims. - Record the exact phrase, storefront, intended user, and supported task. - Note competing result types and the date you inspected them. - Identify the feature or screen that proves the promise. - Mark uncertain intent for further research instead of inventing demand. ## Prepare metadata and the first observation together Allocate the clearest language across the name, subtitle, and keyword field without repetition. Apple's limits are 30 characters for the name, 30 for the subtitle, and 100 for the keyword field including commas. Avoid duplicates of name, subtitle, or category terms, irrelevant words, competing app names, and unauthorized trademarks. Keep the visible copy readable. Archive the submitted wording, launch country, release date, and intended audience in your own release notes. After the listing becomes public, collect a baseline and review discovery alongside conversion in App Store Connect. Back My Side does not publish metadata or integrate with App Store Connect; its tracker history begins with collected snapshots, not an invented pre-launch record. ## Frequently asked questions ### Can I run a report on an app that is still in TestFlight? Not unless it also has a publicly available App Store listing that Apple lookup can resolve. Research live alternatives and candidate searches before launch, then inspect your own public listing when it becomes available. ### Should the broad category term be my main launch target? Only if it accurately expresses the task and fits the result context. Prefer a credible, specific launch hypothesis over a broad term selected solely for its heuristic score. ## Sources - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) - [Apple: App Store Connect Analytics dashboard](https://developer.apple.com/help/app-store-connect-analytics/overview/analytics-dashboard) ## Next step [Explore launch keyword candidates](https://backmyside.com/explore) Inspect public search context for your launch storefront; saved work is subject to the plans at /pricing. ## Related reading https://backmyside.com/guides/app-launch-checklist https://backmyside.com/guides/app-store-keyword-research https://backmyside.com/blog/long-tail-app-store-keywords --- # Long-tail App Store keywords: narrow the intent, not just the phrase Canonical URL: https://backmyside.com/blog/long-tail-app-store-keywords Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Research Keywords: long-tail App Store keywords, search intent, keyword clusters Editorial guide; recommendations do not guarantee results. ## Quick answer A useful long-tail candidate expresses a specific need your app can satisfy. More words do not automatically mean lower competition or measurable demand. Evaluate the task, the returned apps, and your ability to demonstrate the promised outcome before putting the phrase into a metadata plan. ## Key takeaways - Specific intent matters more than the number of words. - A sparse result sample is not proof of an untapped market. - Group related needs before allocating limited metadata space. ## Identify what the extra words actually change Consider a hypothetical meal-planning app. Meal planner describes a broad job; vegetarian meal planner changes the dietary requirement; meal planner for two changes the household size. Each modifier introduces a product obligation. By contrast, amazing easy meal planner adds enthusiasm without clearly identifying a different need. Phrase length alone is a poor selection rule. Ask what a person would expect to see after downloading from each search. A vegetarian library can support dietary intent, but a generic recipe collection with a few meatless entries may not. Serving-size controls can support planning for two only if shopping quantities and saved plans behave consistently. Research should expose these commitments before copy conceals them. ## Read the result mix before declaring an opportunity Inspect each phrase within a single storefront and note whether results solve the same job. A query dominated by recipe browsers may signal a different expectation from a query returning weekly scheduling tools. Search results can help classify intent, but they cannot tell you how many people searched or whether those people would buy your app. Back My Side samples positions from Apple public search responses containing up to 200 results. A missing app is not a known rank of 201, and a short response does not establish weak competition. Its relative popularity and difficulty indicators are heuristics, not Apple official volume or download estimates. Compare candidates without turning those indicators into forecasts. ## Cluster phrases by the proof they require Use a research matrix to keep related phrases tied to a coherent workflow. These examples illustrate product decisions, not observed demand. A cluster earns consideration when the app satisfies its needs and the page explains them clearly. Choose representative phrases for ongoing observation and retain rejected ideas with reasons. Recording unsupported dietary filtering as a rejection prevents the next reviewer from rediscovering the same unsuitable term during every metadata revision. Illustrative meal-planning intent checks Candidate: Vegetarian meal planner; Required proof: Reliable dietary filtering and suitable plans; Decision if absent: Exclude the promise Candidate: Meal planner for two; Required proof: Consistent portions and shopping quantities; Decision if absent: Validate the workflow first Candidate: Weekly meal planner; Required proof: A usable week view and saved schedule; Decision if absent: Prioritize if central to the app ## Translate the cluster without keyword dumping The research phrase and the submitted keyword field are not interchangeable documents. Apple's keyword field has a 100-character total limit including commas. Do not add spaces after comma delimiters; spaces within multiword phrases are allowed. Avoid duplicating words already in the name, subtitle, or category, and do not assume a particular arrangement guarantees every possible combination will rank. Make the visible promise understandable in the name, subtitle, and screenshots, then use the keyword field selectively. After publication, compare the same phrase and storefront over collected observations. If visibility improves but qualified downloads do not, investigate message clarity and audience fit rather than automatically adding more modifiers. Specificity is useful only when it helps the right person choose. ## Frequently asked questions ### Is every three-word query a long-tail opportunity? No. Word count does not establish demand, competitiveness, or useful specificity. A three-word phrase may be broad or awkward, while a shorter phrase may describe a precise task. Evaluate the product obligation and result context. ### Should I remove every space from a keyword phrase? No. Apple permits spaces within multiword phrases. Avoid spaces after comma delimiters, count the entire field, and remove unnecessary duplicates. Do not change a meaningful phrase into an unreadable token merely to save a character. ## Sources - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) ## Next step [Explore specific search intents](https://backmyside.com/explore) Compare candidate phrases against public result context; see /pricing for saved-work allowances. ## Related reading https://backmyside.com/guides/app-store-keyword-field https://backmyside.com/blog/pre-launch-keyword-research https://backmyside.com/blog/keyword-popularity-vs-search-volume --- # Keyword popularity is not search volume: a practical reading guide Canonical URL: https://backmyside.com/blog/keyword-popularity-vs-search-volume Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Research Keywords: keyword popularity vs search volume, ASO difficulty heuristics, keyword data limitations Editorial guide; recommendations do not guarantee results. ## Quick answer Relative popularity is a comparison signal, not a count of searches. Back My Side derives heuristic indicators from public Apple data and does not provide Apple official search volume or download estimates. Use those indicators to organize investigation, then validate product fit and outcomes with appropriate first-party evidence. ## Key takeaways - A relative score has no automatic conversion into monthly searches. - Difficulty is a research aid, not a probability of ranking. - Keep sampled positions separate from acquisition and revenue evidence. ## Name the measurement before interpreting the number Search volume would describe a count of searches over a defined period, market, and measurement scope. A relative popularity indicator instead compares signals according to a method. Even when both appear as numbers, they answer different questions. Without a validated calibration, a popularity score cannot tell you how many searches occurred last month. Back My Side uses Apple public search and lookup data. Its popularity and difficulty values are heuristics, not official demand figures or download estimates. An attractive indicator warrants inspection, not a search-total claim in a revenue model. [Compare Back My Side and SnapMonk without confusing research and creative tools](https://backmyside.com/blog/back-my-side-vs-snapmonk) ## Separate visibility, competition, demand, and outcomes A common mistake is moving between evidence types without noticing. An app appears prominently, so the query must be popular; competitors look established, so ranking must be impossible; a score rises, so downloads must have increased. None of those conclusions follows automatically. Record what each observation actually measures before deciding which action it supports. Apple explains that search uses multiple factors, including text relevance and user behavior, but that does not disclose an exact ranking formula. A tool's difficulty indicator cannot resolve every factor or predict your app's future position. Keep uncertainty visible instead of compressing it into a falsely precise success percentage. Evidence boundaries for keyword decisions Signal: Relative popularity; Useful for: Comparing candidate priorities; Does not establish: Monthly search counts Signal: Heuristic difficulty; Useful for: Prompting competitor inspection; Does not establish: A ranking probability Signal: Sampled search position; Useful for: Observing visibility in a response; Does not establish: A person's device ranking Signal: App Store Connect outcomes; Useful for: Reviewing acquisition performance; Does not establish: A keyword change's causal effect alone ## Make a shortlist without pretending to know volume Imagine choosing between budget planner and shared expense tracker for an app whose main feature is splitting household costs. The broader phrase might have a stronger relative indicator, yet the narrower phrase describes the actual workflow. First exclude unsupported intent, then inspect the returned apps and ask whether your page offers a credible, understandable alternative. Use a written decision such as investigate shared household intent before broad budgeting. That statement remains useful even when the scores change. Note the storefront, observation date, product evidence, and unresolved questions. You are prioritizing a learning task, not asserting that one term will deliver a particular number of visitors or customers. ## Replace unsupported forecasts with an observation plan Back My Side samples positions within up to 200 public search results. Absence means the app was not found in that sample, not that its rank is 201. Preserve that distinction when exporting notes or comparing periods. Neither an observed position nor a missing result supplies the search denominator needed to estimate traffic. After a release, review comparable snapshots alongside acquisition and conversion in App Store Connect. Apple Ads performance may be included in App Analytics source reporting, so do not label every search download organic. Document campaign changes and other releases. These observations can improve the next decision, while a simple before-and-after comparison still cannot isolate causation. ## Frequently asked questions ### Does a popularity score twice as high mean twice as many searches? No. A relative heuristic is not a ratio-scale search count. Without a documented and validated mapping to observed demand, arithmetic on the scores does not produce a defensible traffic estimate. ### Can I use the difficulty score to promise a ranking deadline? No. It supplies neither a guaranteed path nor a deadline. Use it to prioritize inspection, then track observations and outcomes without promising future positions. ## Sources - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple: App Store Connect Analytics dashboard](https://developer.apple.com/help/app-store-connect-analytics/overview/analytics-dashboard) ## Next step [Inspect a free app report](https://backmyside.com/report) Review public-data signals without logging in, and keep heuristic indicators separate from demand estimates. ## Related reading https://backmyside.com/guides/app-store-keyword-research https://backmyside.com/blog/long-tail-app-store-keywords https://backmyside.com/blog/app-growth-metrics-that-matter --- # Competitor keyword gaps: find unmet intent without inventing private data Canonical URL: https://backmyside.com/blog/competitor-keyword-gap-analysis Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Research Keywords: competitor keyword gap analysis, App Store competitor research, public metadata Editorial guide; recommendations do not guarantee results. ## Quick answer Compare relevant competitors across a shared set of queries, using public metadata and observed search responses. A useful gap is an audience need your app can serve but does not communicate clearly. A competitor's private keyword field is not public, and Back My Side cannot reveal it. ## Key takeaways - Choose competitors by overlapping user tasks, not category alone. - Treat public appearances as observations, not recovered private keywords. - Separate copy opportunities from features you still need to build. ## Choose competitors at the level of the user task A category chart can mix products that solve very different problems. For a hypothetical receipt organizer, an expense-management suite, a document scanner, and a personal filing app may all be relevant comparisons, but for different reasons. Record whether each competes on capture, categorization, export, or collaboration before collecting its visible language. Include direct alternatives and a small number of adjacent products that set user expectations. Do not let a famous brand dominate the exercise merely because it appears frequently. Your question is where your app offers a credible choice for a defined task, not how to reproduce the largest competitor's entire product page. ## Build an observation matrix with explicit evidence limits Build a common query list from supported features and alternatives' public language. In one storefront, record dates, visible names, subtitle wording, and search appearances. Screenshot language is a messaging clue, not proof that a phrase occupies a private metadata field. Back My Side uses Apple public search and lookup data, sampling positions in up to 200 results. It cannot reveal competitors' private keyword fields or establish every query for which they appear. A missing app is not a known rank of 201. The matrix is a bounded research sample, not a complete map of competitor visibility. ## Classify the gap before assigning a metadata task If alternatives emphasize receipt export and your app buries that capability in settings, consider a communication improvement. If export is absent, you have a product gap that copy cannot close. These illustrative classifications route work; they are not actual competitor findings. Reject gaps that require irrelevant terms, competing app names, or unauthorized trademarks. A comparison can teach you about a need without making another company's identity appropriate for your keyword field. Prefer descriptive task language that your own product can substantiate, then decide which finding merits the next release's limited attention. Route each apparent gap to the right owner Finding: Export works but is hard to notice; Interpretation: Messaging gap; Next action: Show a real export workflow Finding: Team approval is absent; Interpretation: Product gap; Next action: Assess demand before promising it Finding: One sampled appearance is missing; Interpretation: Evidence gap; Next action: Collect comparable observations Finding: Query depends on a rival brand; Interpretation: Unsuitable metadata target; Next action: Research the underlying task instead ## Turn one defensible opportunity into a release hypothesis Choose the gap with the strongest combination of product proof and audience relevance, not simply the highest heuristic popularity. Write what will change, which intent it addresses, and what would make you reconsider. For receipt export, the plan might clarify the subtitle and demonstrate the export screen while leaving unrelated positioning alone. Submit changes through your own App Store Connect workflow; Back My Side neither publishes metadata nor integrates with that account. Compare subsequent sampled visibility with your first-party acquisition and conversion data. Log concurrent campaigns and product changes. Better results after a rewrite are encouraging observations, but they do not prove the competitor analysis caused the improvement. ## Frequently asked questions ### Can a tool recover the exact keyword field used by a competitor? Back My Side cannot. That field is private. Visible metadata and sampled query appearances support candidate research, but they do not reveal the competitor's submitted terms or prove why Apple returned the app. ### Does appearing where a competitor is absent mean I found a winning gap? No. Check comparable samples, intent, and product fit. A missing appearance can reflect a bounded response rather than a durable advantage or meaningful demand. ## Sources - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) - [Apple: App Store Connect Analytics dashboard](https://developer.apple.com/help/app-store-connect-analytics/overview/analytics-dashboard) ## Next step [Explore competitor search context](https://backmyside.com/explore) Investigate public search appearances rather than private keyword claims; saved work depends on /pricing. ## Related reading https://backmyside.com/guides/app-store-keyword-research https://backmyside.com/blog/keyword-popularity-vs-search-volume https://backmyside.com/guides/app-title-subtitle --- # App Store description copywriting: answer the questions screenshots leave open Canonical URL: https://backmyside.com/blog/app-store-description-copywriting Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Convert Keywords: App Store description copywriting, app description structure, promotional text Editorial guide; recommendations do not guarantee results. ## Quick answer Use the description to explain who the app serves, how its main workflow works, and which limits matter before downloading. Lead with a concrete benefit rather than a string of search terms. Apple advises against unnecessary keywords in descriptions, and promotional text does not affect search ranking. ## Key takeaways - Make the opening sentence describe a real, specific outcome. - Connect benefits to working features and disclose meaningful limits. - Keep promotional updates separate from a durable product explanation. ## Open with a job the reader recognizes The opening sentence must work before someone expands the description. For a hypothetical receipt organizer, Keep work receipts together and export them when expenses are due is more informative than the ultimate productivity solution. It identifies a task and a useful moment without invented superiority. Use only claims the current release can support. If export is not available, the stronger-sounding sentence is still wrong. Start from a product walkthrough and write down the actions a new user can actually complete. This gives the copywriter concrete material and helps prevent roadmap features from becoming accidental promises on the public listing. ## Explain the workflow before listing every feature Describe the shortest path from setup to outcome: photographing a receipt, assigning a folder, and exporting selected records. Explain user controls and automation limits. A compact workflow answers practical questions that an inventory of unrelated feature names leaves unresolved. Follow with a short benefit-led feature list. Each item should pair a capability with a reason it matters. Avoid claims such as automatic tax compliance unless the product genuinely supports the relevant requirements and the claim has been appropriately reviewed. A useful description reduces uncertainty; it does not hide important conditions behind confident adjectives. - Capture: explain supported input rather than implying every document format works. - Organization: say whether folders, tags, or automatic rules do the work. - Export: identify the available workflow without promising unsupported integrations. - Access: disclose material account, connectivity, or paid-feature requirements. ## Resolve objections without turning the page into fine print Choose the questions likely to change a download decision: Does this work offline? Is an account required? Is a highlighted feature paid? Can existing records be imported? Answer them plainly if they apply, but do not invent capabilities merely to fill a template. A clear limitation can prevent a disappointed install and an avoidable support exchange. Apple recommends avoiding specific prices in descriptions because they can become inaccurate across regions. Describe the access model accurately and let the store's purchasing information carry current amounts. Place secondary detail after the core explanation so the description remains scannable. Before approval, ask someone unfamiliar with the app to summarize what they believe is included. ## Separate durable copy from ranking tactics and announcements Do not turn the description into repeated keyword variants. Apple's guidance favors an informative explanation and specifically discourages unnecessary keywords added to improve search results. Promotional text is a separate field of up to 170 characters; it does not affect search ranking. Use it for timely, accurate news rather than overflow from the keyword field. Review the description alongside the name, subtitle, and screenshots so they make the same promise. A Back My Side free report requires no login and can inform your public-listing review, but it does not publish copy or integrate with App Store Connect. Record your own edits and compare later conversion carefully: a pre-post change is observational, not a randomized copy experiment. ## Frequently asked questions ### Should I repeat the main keyword throughout the description? No. Explain the product naturally rather than targeting repetitions. Apple discourages unnecessary description keywords added to improve search results. Prioritize supported benefits and meaningful conditions. ### Can I test two descriptions with Apple's product page optimization? Product page optimization tests icons, screenshots, and app previews, not description variants, titles, or keyword fields. A description rewrite followed by a conversion comparison is observational and needs context about traffic and other changes. ## Sources - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple Developer: Product page optimization](https://developer.apple.com/app-store/product-page-optimization/) ## Next step [Review your public listing](https://backmyside.com/report) Start with a free report without logging in, then prepare and publish any copy changes in your own workflow. ## Related reading https://backmyside.com/guides/app-store-conversion-rate https://backmyside.com/guides/app-title-subtitle https://backmyside.com/blog/screenshot-keyword-message-match --- # Screenshot message match: show the task behind the search Canonical URL: https://backmyside.com/blog/screenshot-keyword-message-match Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Convert Keywords: screenshot message match, App Store screenshot strategy, product page optimization Editorial guide; recommendations do not guarantee results. ## Quick answer Make the first screenshot demonstrate the job implied by your most relevant search intent, then use later images to explain the workflow and resolve doubts. This is a communication strategy, not a claim that caption repetition improves ranking. Evaluate visual variants through Apple's randomized product page optimization when appropriate. ## Key takeaways - Match the demonstrated workflow to the audience's actual task. - Show authentic product proof instead of keyword-heavy captions. - Distinguish randomized visual tests from observational release comparisons. ## Connect one search intent to visible proof Imagine an app designed to build packing lists for family trips. Someone searching for a shared packing list needs evidence that more than one person can participate. A beautiful destination photo does not demonstrate that. A real list with assignment or collaboration controls, if the app supports them, gives the visitor a reason to inspect further. Brief the audience, task, claim, and supporting screen before designing. If they do not align, fix the promise before polishing the layout. Aim for recognition, not repetition; putting a phrase in screenshot text does not establish ranking influence or guarantee visibility. ## Sequence the images around a coherent workflow Apple notes that screenshots or previews can appear in search results, with presentation depending on factors such as orientation and platform. Make the opening image understandable on its own rather than relying on the full gallery. A benefit headline should clarify the screen, not cover the controls that would make the benefit believable. Use subsequent images to answer the next practical questions. For the hypothetical packing app, first show the shared list, then assignment, then progress before departure. Keep the sequence faithful to the actual interface. A page that promises effortless collaboration but only shows a solo checklist creates a mismatch even if every image is visually polished. Illustrative screenshot briefing questions Image role: Opening promise; Question to answer: Is this for my task?; Proof to show if supported: A recognizable shared packing list Image role: Workflow; Question to answer: How do we divide the work?; Proof to show if supported: Actual item assignment controls Image role: Outcome; Question to answer: What remains before leaving?; Proof to show if supported: A readable completion view ## Review truthfulness and legibility before testing Inspect images at realistic viewing sizes for headline contrast, visible interface details, and translated-text clipping. Localize example content where needed: unfamiliar date formats or unavailable destination features can undermine an otherwise well-translated promise. Confirm that every pictured state exists in the shipping product and that paid capabilities are not presented as universally included. Keep a design checklist outside Back My Side: the service does not create screenshots, upload assets, or integrate with App Store Connect. Its public-data research can inform a brief, but your team must produce and submit the artwork. [Why screenshots matter, with a production checklist and our SnapMonk recommendation](https://backmyside.com/blog/why-app-store-screenshots-matter) ## Choose evidence that can answer the visual question Apple's product page optimization can randomize eligible viewers between the original page and treatments using alternate icons, screenshots, or app previews. It does not test titles or keyword fields. For a message-match question, keep unrelated assets stable and compare a clearly defined visual hypothesis, such as shared-task proof versus a generic feature overview. Use Apple's reported test evidence and uncertainty rather than declaring a winner after the first favorable movement. If you simply replace screenshots and compare periods, traffic mix, seasonality, and other releases remain alternative explanations. App Analytics source reporting may include Apple Ads. A changed search conversion figure therefore should not automatically be described as an organic or causal improvement. ## Frequently asked questions ### Should every screenshot headline contain my target phrase? No. Establish relevance in the opening image, then demonstrate the workflow and answer practical questions. Repeated phrases displace information the visitor needs to evaluate the product. ### Can Back My Side run the screenshot experiment for me? No. It provides public-data research, not screenshot creation or an App Store Connect integration. Create assets in your own design workflow and configure eligible product page optimization tests directly in Apple's tools. ## Sources - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) - [Apple Developer: Product page optimization](https://developer.apple.com/app-store/product-page-optimization/) - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple: Localize App Store information](https://developer.apple.com/help/app-store-connect/manage-app-information/localize-app-store-information/) ## Next step [Research the intent behind your visuals](https://backmyside.com/explore) Inspect public search context to inform a screenshot brief; saved research is subject to /pricing. ## Related reading https://backmyside.com/guides/app-store-conversion-rate https://backmyside.com/blog/app-store-description-copywriting https://backmyside.com/guides/app-store-localization --- # Why app keyword rankings drop: a triage sequence before you rewrite Canonical URL: https://backmyside.com/blog/why-app-keyword-rankings-drop Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Measure Keywords: app keyword rankings drop, ASO ranking diagnosis, missing rank observations Editorial guide; recommendations do not guarantee results. ## Quick answer First verify that the movement compares the same app, query, storefront, and collection method. Then separate a missing observation from an observed decline and inspect listing changes alongside acquisition data. One unfavorable sample does not identify the cause, and an app absent from a bounded response has no known replacement rank. ## Key takeaways - Validate the observation before diagnosing the algorithm. - Missing data is neither rank 201 nor proof of product failure. - Use a change log and outcome data to prioritize the next investigation. ## Verify that the two observations are comparable Check the app identifier, exact phrase, storefront, and timestamps before editing. A plural variation or country change creates a different comparison, not necessarily a decline. Distinguish live responses from older snapshots; missing context makes precise-looking rank changes difficult to interpret. Back My Side uses Apple public search and lookup data, with positions sampled in up to 200 results. Those positions are not personalized device rankings. A different ordering on an iPhone does not automatically prove the stored sample is broken; the two surfaces do not establish identical measurement conditions. Keep their observations labeled separately. ## Separate an observed drop from an absent observation An app moving lower between two comparable responses is an observed change. An app not found in one bounded response is an absence with an unknown position. A snapshot that was not collected is missing history. These cases require different notes and should never be collapsed into a single red number or a fabricated last-place rank. Tracker history exists only where snapshots were collected. Do not backfill earlier days or treat gaps as zero. If a response does not include the app, check the listing's public availability and collect another comparable observation before escalating. Continued absence may warrant investigation, but it still does not reveal an exact position beyond the sample. Route the symptom without inventing a cause Symptom: Lower sampled position; What is known: Ordering changed in comparable responses; Next check: Repeat and inspect affected queries Symptom: App absent from response; What is known: No position found in this sample; Next check: Availability, query, and another observation Symptom: No collected snapshot; What is known: History is unavailable for that point; Next check: Collection coverage, not a rank substitute ## Look for the pattern before choosing a cause One declining phrase and widespread absence warrant different investigations. Review name, subtitle, keyword, category, and availability changes. Inspect competitors' public positioning, but remember their keyword fields are private and a competitor update does not necessarily explain your movement. Apple describes search as using multiple factors, including text relevance and user behavior such as downloads, ratings, and reviews. This supports a broad diagnostic checklist, not an exact formula. Read recent feedback for real usability issues and check release quality. Fixing a genuine bug is worthwhile even when its relationship to ranking remains uncertain. ## Choose a response proportional to the evidence If you find an obvious metadata error or unintended storefront unavailability, correct that issue through your normal release process. If the listing is accurate and only one observation moved, preserve the baseline and gather more evidence. Rewriting several fields immediately can remove the context needed to understand whether the original signal persisted. Compare acquisition and conversion in App Store Connect over matching periods, noting campaign activity and reporting limitations. Search-source data may include Apple Ads, so do not equate it with purely organic demand. Record the chosen action, alternative explanations, and next review date. A subsequent recovery is useful evidence to document, not proof that your intervention caused it. ## Frequently asked questions ### Does not found mean my app has fallen to position 201? No. Absence from up to 200 sampled public results does not establish a position beyond that response. Preserve unknown or absent states instead of inserting 201 in reports. ### Should I restore the old subtitle after one bad snapshot? Not on that evidence alone. Check comparable observations and business outcomes. Correct actual errors promptly, but do not attribute an isolated movement to the subtitle. ## Sources - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple: App Store Connect Analytics dashboard](https://developer.apple.com/help/app-store-connect-analytics/overview/analytics-dashboard) - [Apple Developer: Ratings, reviews, and responses](https://developer.apple.com/app-store/ratings-and-reviews/) ## Next step [Review collected ranking snapshots](https://backmyside.com/tracker) Compare available observations without filling gaps; tracking access and allowances are described at /pricing. ## Related reading https://backmyside.com/guides/app-store-rank-tracking https://backmyside.com/blog/aso-weekly-review https://backmyside.com/blog/app-growth-metrics-that-matter --- # The ASO weekly review: leave with one decision, not a bigger dashboard Canonical URL: https://backmyside.com/blog/aso-weekly-review Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Measure Keywords: ASO weekly review, keyword tracking workflow, ASO decision log Editorial guide; recommendations do not guarantee results. ## Quick answer Review observation quality first, visibility second, and acquisition outcomes third. Use a stable keyword group and storefront so the comparison remains interpretable. Finish with one prioritized action or an explicit decision to wait, plus the evidence and review date that will determine what happens next. ## Key takeaways - Coverage belongs beside every trend, not in a footnote. - Keep a stable comparison group while exploring new terms separately. - Document a decision even when the right action is no change. ## Check whether there is enough comparable evidence Open the review by confirming app identifiers, storefronts, query wording, and collection dates. Back My Side's tracker history comes only from collected snapshots. A blank period is missing evidence, not zero visibility or a failed app. Record coverage before interpreting a graph so a sparse week does not masquerade as a dramatic performance change. Separate an uncollected snapshot from a collected response in which the app was absent. The service samples positions from up to 200 Apple public search results, not device rankings. An absent app has no known rank of 201. Keep these states distinct in any spreadsheet or meeting summary you create outside the tool. ## Compare a stable group of queries before exploring new ones Maintain a core group for current positioning and review exploratory phrases separately. Adding difficult terms can lower an average without existing queries declining; removing missing terms can create the opposite illusion. Disclose membership changes and preserve an original-group comparison. For a hypothetical language-learning app, the core group might cover vocabulary practice while pronunciation coaching remains exploratory until that feature ships. Compare like-for-like observations and show how many queries contributed to a summary. A single average obscures differing intent, so inspect the important individual phrases before recommending a metadata revision. ## Connect visibility to acquisition without merging the evidence Review App Store Connect acquisition, conversion, and relevant downstream behavior separately from public search positions. Back My Side does not integrate with App Store Connect, so bring your first-party findings into your own review notes. Match periods and storefronts where the available dimensions permit, and avoid inventing precision when privacy thresholds or reporting coverage limit the comparison. Check campaign activity before calling a search-source change organic: Apple Ads performance may appear in App Analytics. A new promotion can alter the mix of visitors even when listing assets remain unchanged. Likewise, improved sampled positions with weaker activation can indicate an audience mismatch rather than a successful growth outcome. Write competing explanations beside the favored one. ## Write the next decision and its stopping condition Prioritize an evidence-supported issue: clarify a screenshot, correct an inaccurate subtitle, investigate release quality, or collect more observations. Do not change metadata merely to demonstrate activity. Stable positioning can be right when evidence is thin or another bottleneck matters more. Keep the decision log outside the tool in a document your team owns. Record what would justify continuing, reversing, or escalating the action. If you compare periods after changing metadata, label the result observational. Apple's randomized product page optimization is available for icons, screenshots, and previews, not titles or keyword fields; use it for an eligible visual question. - Evidence: name the observations, period, storefront, and coverage limits. - Hypothesis: explain the user problem and plausible alternative causes. - Action: assign one owner and define the smallest useful change. - Review: set a date and state what evidence would change the decision. ## Frequently asked questions ### Should every weekly review end with a metadata update? No. Gathering evidence, fixing product issues, or preserving a clear message may matter more. Record why no change is justified and what would alter that decision. ### How should I summarize a week with several missing snapshots? State the coverage explicitly and compare only genuinely comparable observations. Do not insert zero or 201. If the remaining evidence is too sparse, report that limitation rather than manufacturing a complete weekly trend. ## Sources - [Apple: App Store Connect Analytics dashboard](https://developer.apple.com/help/app-store-connect-analytics/overview/analytics-dashboard) - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple Developer: Product page optimization](https://developer.apple.com/app-store/product-page-optimization/) ## Next step [Review your tracking evidence](https://backmyside.com/tracker) Use collected snapshots in a repeatable review; saved work and tracking depend on the plans at /pricing. ## Related reading https://backmyside.com/guides/app-store-rank-tracking https://backmyside.com/blog/why-app-keyword-rankings-drop https://backmyside.com/blog/app-growth-metrics-that-matter --- # Choosing App Store localization markets: opportunity must meet readiness Canonical URL: https://backmyside.com/blog/choosing-app-store-localization-markets Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Expand Keywords: App Store localization markets, localization prioritization, storefront research Editorial guide; recommendations do not guarantee results. ## Quick answer Choose a market where your product can deliver a complete, supportable experience and local research reveals a credible task-level fit. Treat country availability, metadata language, and in-app localization as separate decisions. Public search indicators can inform a pilot, but they do not establish market size or expected revenue. ## Key takeaways - Check product and support readiness before translating acquisition copy. - Research local intent instead of copying the English keyword list. - Judge a pilot with comparable acquisition and downstream evidence. ## Separate the market, the language, and the delivered product A storefront is not the same thing as a language. Apple supports localized metadata and uses language availability and user settings when choosing what to display. Adding translated App Store information also does not translate the app binary. Plan listing language, country availability, and the in-app experience as related but distinct pieces of work. For a hypothetical budget app, check currency formatting, onboarding, help, and subscription explanations before promising local readiness. If the workflow depends on regional financial connections, verify actual coverage. Translation alone does not make those connections available. ## Shortlist markets with readiness gates, not a single score Begin with evidence you already own: country-level acquisition where available, support requests, existing users, and the cost of serving them well. These signals may be incomplete, so record their limitations. Then compare the operational work required for a credible pilot. A market with visible interest but unsupported core functionality is not ready for acquisition investment. Give unresolved requirements an owner and decision date. This checklist prevents a large theoretical audience from eclipsing practical constraints such as untranslated support. Do not convert relative keyword popularity into market-size estimates to complete a business case. A practical localization readiness screen Area: Core workflow; Question: Does the promised task work locally?; If unresolved: Fix coverage before promotion Area: Language; Question: Can users finish onboarding and get help?; If unresolved: Plan product and support translation Area: Commercial clarity; Question: Are paid access and local requirements clear?; If unresolved: Review with appropriate specialists Area: Measurement; Question: Can the pilot be evaluated meaningfully?; If unresolved: Define the evidence before launch ## Research local task language with a fluent reviewer Give a fluent reviewer the workflow, not just English keywords. Ask how people describe the task locally, then inspect candidate searches in the target storefront. Grammatically correct translations can still imply a different product expectation. Back My Side uses Apple public search and lookup data and samples positions in up to 200 results. Its relative popularity and difficulty are heuristics, not official search volume, download estimates, or a personalized local device ranking. Use the observations to compare context; do not assume the same score has identical commercial meaning across different markets. ## Run a contained pilot with a complete experience Localize the relevant metadata and screenshots, review character limits, and inspect real device layouts for truncation and unfamiliar formats. Submit through your own App Store Connect workflow; Back My Side does not publish localizations or create screenshot assets. Keep the pilot narrow enough that the team can support users and investigate unexpected feedback rather than simply launch more languages. Define success using available acquisition, conversion, activation, retention, and support evidence rather than rankings alone. Compare like-for-like periods and note campaigns; App Analytics search sources may include Apple Ads. Preserve privacy and coverage limitations. If you only have a pre-post comparison, describe the result as observational and decide whether to improve, continue, or pause the pilot without claiming causal proof. ## Frequently asked questions ### Should I translate into the language with the largest apparent audience first? Not automatically. Consider product coverage, support, local intent, and measurement readiness. A smaller, supportable pilot can answer an expansion question better than a broad but incomplete launch. ### Does adding a metadata localization translate the app itself? No. Apple distinguishes App Store information from binary localization. Coordinate the listing with in-app text, formatting, help, and any local service limitations so users receive the experience the translated page promises. ## Sources - [Apple: Localize App Store information](https://developer.apple.com/help/app-store-connect/manage-app-information/localize-app-store-information/) - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple: App Store Connect Analytics dashboard](https://developer.apple.com/help/app-store-connect-analytics/overview/analytics-dashboard) ## Next step [Explore a potential storefront](https://backmyside.com/explore) Inspect local public-search context before choosing a pilot; see /pricing for saved-research allowances. ## Related reading https://backmyside.com/guides/app-store-localization https://backmyside.com/blog/long-tail-app-store-keywords https://backmyside.com/blog/app-growth-metrics-that-matter --- # App Store keyword mistakes: fix the expensive assumptions first Canonical URL: https://backmyside.com/blog/app-store-keyword-mistakes Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Launch Keywords: App Store keyword mistakes, keyword field audit, ASO metadata errors Editorial guide; recommendations do not guarantee results. ## Quick answer Fix unsupported promises and prohibited keyword choices before optimizing character usage. Then remove unnecessary duplication, check field limits, and separate heuristic research signals from measured outcomes. A tidy keyword field cannot rescue irrelevant positioning, and a favorable score does not guarantee ranking or downloads. ## Key takeaways - Relevance and compliance come before character packing. - Apply Apple's field rules without inventing ranking shortcuts. - Keep private metadata, public samples, and first-party outcomes distinct. ## Fix unsupported intent before polishing the field Attracting people for an unsupported task creates an expectation problem before their first session. A hypothetical habit tracker with check-ins but no professional coaching should not target coaching because a score looks attractive. Match candidates to working features and honest explanations. Apple prohibits irrelevant terms, competing app names, and unauthorized use of trademarks or other protected terms in keywords. Competitor research does not make those terms suitable metadata. Describe the underlying task in your own language. If a candidate depends on borrowed recognition rather than your product's capabilities, remove it instead of treating compliance as a later review step. ## Audit field mechanics without turning them into folklore The name allows 30 characters, the subtitle allows 30, and the keyword field allows 100 characters total including commas. Avoid duplicates of words already used in the name, subtitle, or category. Apple's guidance also discourages unnecessary duplicate forms and generic filler. These are constraints for a focused submission, not an exact recipe for a particular rank. Separate keyword entries with commas and no spaces after those delimiters; spaces inside multiword phrases are allowed. For example, breathwork,evening routine illustrates delimiter formatting only, assuming those terms are relevant and not duplicated elsewhere. Do not delete meaningful phrase spaces indiscriminately or fill leftover characters with irrelevant words merely because the counter permits them. - Count the full submitted value, including punctuation and phrase spaces. - Compare the keyword field against the final name, subtitle, and category. - Remove competing app names, unauthorized trademarks, and unsupported feature terms. - Review every localization rather than assuming the source-language audit still holds. ## Stop using every text surface as keyword overflow A description should explain the product, not repeat a list of variants. Apple advises against adding unnecessary description keywords to improve search results. Promotional text can contain up to 170 characters and does not affect search ranking. Use it for relevant announcements, not as an extension of the private keyword field when you run out of space. Disconnected subtitle terms obscure benefits, while repetitive screenshot captions waste opportunities to demonstrate the workflow. Keep a clear promise across the listing. Stuffing additional surfaces cannot compensate for an inaccurate or unfocused core message. ## Repair the evidence model before judging the next release Back My Side's Apple public-data research does not reveal competitors' private keyword fields. Its popularity and difficulty indicators are heuristics, not official search volume or download estimates. Positions are sampled within up to 200 results rather than measured on each user's device. An app missing from a response is not a known rank of 201. Keep these limits in your release notes, along with the exact wording and storefront changed. Tracker history comes only from collected snapshots; a gap is not zero or failure. Evaluate first-party outcomes separately in App Store Connect, remembering that search reporting may include Apple Ads. A favorable pre-post comparison can guide investigation, but it does not prove the keyword edit caused the result. ## Frequently asked questions ### Should I use all 100 keyword characters even when nothing relevant remains? No. The ceiling does not override relevance. Use space for distinct, supported intent rather than padding with filler, duplicates, competitor names, or unsupported capabilities. ### Can promotional text rescue keywords that did not fit? No. Apple states that promotional text does not affect search ranking. Use its 170-character allowance for accurate, timely communication, and prioritize the keyword field instead of moving a keyword dump into another surface. ## Sources - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) - [Apple: App Store Connect Analytics dashboard](https://developer.apple.com/help/app-store-connect-analytics/overview/analytics-dashboard) ## Next step [Start a public-listing review](https://backmyside.com/report) Run a free report without logging in; inspect and edit your private keyword field separately in App Store Connect. ## Related reading https://backmyside.com/guides/app-store-keyword-field https://backmyside.com/guides/app-title-subtitle https://backmyside.com/blog/pre-launch-keyword-research --- # ASO vs Apple Search Ads: choose the question before the channel Canonical URL: https://backmyside.com/blog/aso-vs-apple-search-ads Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Research Keywords: ASO vs Apple Search Ads, Apple Ads measurement, paid and organic acquisition Editorial guide; recommendations do not guarantee results. ## Quick answer ASO improves how accurately your listing communicates and supports discovery; Apple Ads provides paid App Store placements. They can complement each other, but neither fixes a product that fails its promise. Choose the immediate learning question and budget constraint, then keep paid evidence, public search observations, and downstream outcomes separate. ## Key takeaways - Fix a misleading or confusing listing before buying more exposure. - Paid campaign outcomes are not automatic evidence of organic demand. - Define an experiment's budget, success condition, and limits in advance. ## Distinguish listing work from paid distribution ASO includes relevant metadata, a clear product page, localization, and ongoing measurement. Apple Ads, often discussed as Apple Search Ads, adds paid placements within the App Store. Apple describes ads as part of the search experience, but purchasing exposure is not the same activity as improving the accuracy and persuasiveness of the listing people encounter. Judge more than initial downloads. For a hypothetical study planner, visitors expecting course content may leave when they find only assignment scheduling. Fix that mismatch through targeting and messaging, not a larger budget or longer keyword field. ## Choose the immediate bottleneck before allocating effort If the product page does not explain what the app does, improve that foundation first. If the listing is credible but you need to investigate a specific paid audience, a bounded campaign may be useful. These are different questions, so write the question explicitly rather than asking which channel is universally better or cheaper. ASO still requires research, design, development, and review resources. Apple Ads has no universal acquisition cost to assume. Choose based on your product, audience, economics, evidence, and how much uncertainty the team can responsibly fund. Match the immediate question to an appropriate activity Question: Do people understand the promise?; Useful activity: Listing review and eligible visual testing; Important limit: Copy clarity is not guaranteed demand Question: Can this paid audience activate?; Useful activity: A bounded campaign with outcome measurement; Important limit: Paid results do not prove organic lift Question: Did sampled visibility change?; Useful activity: Comparable public search observations; Important limit: Positions are not traffic counts ## Keep channel evidence separate when reading results Apple explicitly notes that Apple Ads performance appears in App Analytics search-performance reporting. Do not label every App Store search download organic. Review the relevant source definitions, campaign reporting, time windows, and attribution scope before combining numbers. A higher search total during a campaign can reflect paid exposure rather than improved unpaid discovery. Back My Side uses Apple public search and lookup data, with positions sampled in up to 200 results. It does not provide device rankings, official search volume, or download estimates, and it does not integrate with App Store Connect. Its heuristic popularity and difficulty indicators cannot replace first-party campaign economics or establish incremental revenue from either channel. ## Write a bounded learning plan before spending or rewriting Document a paid experiment's audience, budget ceiling, promise, activation event, and stopping conditions. Manage campaigns in Apple's advertising tools, not Back My Side. For listing work, preserve the baseline and narrow the change so simultaneous revisions do not obscure interpretation. Use Apple's randomized product page optimization for eligible icon, screenshot, or preview questions; it does not test titles or keyword fields. A pre-post metadata comparison or campaign launch remains vulnerable to concurrent changes and audience selection. Look for learning that informs the next decision, and avoid claiming that buying ads directly guarantees an organic ranking improvement. ## Frequently asked questions ### Will buying Apple Ads automatically improve unpaid keyword positions? No organic ranking improvement is guaranteed. Evaluate campaign outcomes and comparable search samples separately rather than treating every movement as an effect of advertising. ### Can I treat all App Store Search downloads in Analytics as organic? No. Apple says Apple Ads performance appears in its search-performance reporting. Check the relevant source and attribution definitions alongside campaign data before describing a result as paid, organic, or incremental. ## Sources - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple: App Store Connect Analytics dashboard](https://developer.apple.com/help/app-store-connect-analytics/overview/analytics-dashboard) - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) - [Apple Developer: Product page optimization](https://developer.apple.com/app-store/product-page-optimization/) ## Next step [Review the listing before choosing a channel](https://backmyside.com/report) Get a free public-data report without logging in; campaign setup and first-party analytics remain in your own tools. ## Related reading https://backmyside.com/guides/app-store-optimization https://backmyside.com/guides/app-store-conversion-rate https://backmyside.com/blog/app-growth-metrics-that-matter --- # App growth metrics that matter: connect discovery to a useful first week Canonical URL: https://backmyside.com/blog/app-growth-metrics-that-matter Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Measure Keywords: app growth metrics, ASO measurement, activation and retention, conversion denominators Editorial guide; recommendations do not guarantee results. ## Quick answer Track a short chain from discovery to downloads, meaningful activation, retention, and sustainable commercial outcomes. Keep each metric's definition, denominator, period, and coverage visible. A better sampled keyword position is not growth by itself, and an improved total can hide a weaker experience for the users you actually want. ## Key takeaways - Define the metric before comparing its movement. - Inspect acquisition quality alongside download totals. - Keep observational evidence and causal claims clearly separated. ## Build a short measurement chain with distinct questions Follow the user journey: discovery asks whether people encounter the app; acquisition, whether they download; activation, whether they complete a meaningful task. Retention examines return behavior, and commercial measures ask whether the experience can responsibly support the business. For a hypothetical reading-log app, a first book entry may represent activation better than an app open. Document a stable definition of delivered value. Your own instrumentation may be necessary; neither App Store Connect nor Back My Side automatically knows product-specific actions. A compact set of questions, not universal benchmarks Layer: Discovery; Example evidence: Comparable sampled positions and store impressions; Decision it informs: Investigate visibility or relevance Layer: Acquisition; Example evidence: Downloads and clearly defined conversion; Decision it informs: Review the product-page promise Layer: Activation; Example evidence: Completion of a chosen first-value event; Decision it informs: Improve onboarding or audience fit Layer: Retention and value; Example evidence: Cohort return behavior and commercial outcomes; Decision it informs: Assess whether acquisition is sustainable ## Write down the denominator before celebrating a rate Specify conversion's numerator and denominator using Apple's current definitions, distinguishing reported metrics from custom calculations. Never silently swap views for impressions or first-time downloads for broader download measures. Match the period, storefront, and eligible population before comparing. As a purely illustrative custom calculation, 60 qualifying events from 300 eligible visits is 20%, while 90 from 600 is 15%. The event count rose while the rate fell. This is not Apple's conversion formula or a benchmark. It shows why a team should inspect both counts and rates before concluding that acquisition quality improved. ## Respect source, cohort, and coverage limits Apple's Analytics dashboard supports acquisition, retention, commercial, and cohort investigations, but available dimensions and coverage depend on the metric. Usage data has consent and privacy-related limitations. A missing value does not mean zero activity. Record what population is represented, and avoid comparing a partial recent cohort with an older cohort that has had time to mature. Apple Ads performance can appear in App Analytics search reporting, so not all search-source acquisition is organic. Back My Side does not integrate with App Store Connect; bring those findings into your own analysis. Its Apple public search and lookup data samples up to 200 results, not device rankings or official volume and download estimates. Heuristic popularity is not a funnel denominator. ## Use the chain to choose the next product decision If sampled visibility improves while activation weakens, inspect the promise and onboarding before celebrating reach. If downloads are stable but retained users grow, the product may be serving its audience better even without a dramatic ranking story. Segment only where the evidence supports it; increasingly narrow cuts can produce noise or unavailable values rather than clearer explanations. Keep release and campaign notes beside the metrics. Tracker history exists only from collected snapshots, and absence from a search response is not rank 201. Observational pre-post changes do not establish causation. For eligible visual hypotheses, Apple's randomized product page optimization tests icons, screenshots, and previews, not titles or keyword fields. Choose evidence that fits the actual decision. ## Frequently asked questions ### What should a very small app measure first? Start with clearly defined downloads, a meaningful first-value event, and the available evidence of users returning. Keep counts and coverage visible. Avoid narrow segment claims or universal benchmarks when the underlying observations are too sparse. ### Can I estimate revenue by multiplying keyword popularity by conversion? No. Heuristic popularity is not a traffic denominator. Use defined first-party acquisition and commercial evidence for revenue modeling, with explicit uncertainty. ## Sources - [Apple: App Store Connect Analytics dashboard](https://developer.apple.com/help/app-store-connect-analytics/overview/analytics-dashboard) - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple Developer: Product page optimization](https://developer.apple.com/app-store/product-page-optimization/) ## Next step [Add sampled visibility to your review](https://backmyside.com/tracker) Use collected snapshots alongside your own outcome data; tracking and saved-work allowances are listed at /pricing. ## Related reading https://backmyside.com/guides/app-store-conversion-rate https://backmyside.com/blog/aso-weekly-review https://backmyside.com/blog/aso-vs-apple-search-ads --- # A habit tracker's keyword strategy: choose a job, not a popularity score Canonical URL: https://backmyside.com/case-studies/habit-tracker-keyword-strategy Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Research Keywords: habit tracker keyword strategy, App Store keyword research, habit app metadata, keyword intent Disclosure: Fictional worked example, not a customer result. Example numbers are illustrative, not observations or forecasts. ## Quick answer This fictional educational scenario follows Steady Sprout, not a customer. Its hypothesis is that routine-specific language communicates its actual capabilities better than broad productivity claims. All examples are invented; no verified lift, measured outcome, or guaranteed growth is claimed. ## Key takeaways - Select search intent that the existing product can satisfy. - Allocate distinct words across metadata instead of repeating them. - Predefine observation rules before interpreting movement as evidence. ## Hypothesis: describe the routine the app supports Steady Sprout is an invented solo-developer app for daily checklists, optional reminders, and streak history. It does not manage projects, provide coaching, or offer medical treatment. The developer can revise an English listing for the United States but cannot add features during this exercise. Its current productivity-first pitch leaves the reader guessing what happens after installation. The hypothesis is deliberately narrow: describing repeatable routines should produce a clearer match between search intent and the first session. This is not a prediction that longer phrases are easier to rank for. The constraint is feature truth, followed by limited editorial time, not an imagined demand score. ## Candidate keywords and explicit rejection decisions The table is an invented sample shortlist, not observed search demand. Start with actions in the app, then inspect results for each phrase in the same storefront. Back My Side uses public Apple search samples of up to 200 results, not official search volume or downloads, and not personalized device rank. A recognizable result set is a relevance clue, not proof of an available audience. Record why a phrase survives before looking at positions. Competitors' public names and screenshots can suggest language, but their private keyword fields are unavailable. Illustrative habit-tracker candidate decisions Candidate keyword: daily habit tracker; Intent: Record repetition; Product fit: Daily checklists; Decision: Prioritize core intent Candidate keyword: morning routine; Intent: Organize repeated actions; Product fit: Scheduled checklists; Decision: Test supporting words Candidate keyword: streak reminder; Intent: Remember a commitment; Product fit: Optional notifications; Decision: Explore wording Candidate keyword: project planner; Intent: Coordinate complex work; Product fit: No project tools; Decision: Reject mismatch ## Turn the shortlist into a readable listing Apple allows 30 characters for the name, 30 for the subtitle, and 100 for keywords, including commas. This illustrative draft leaves keyword space unused rather than filling it with unrelated claims. Avoid duplicate words across fields and competing app names; phrase coverage is a hypothesis, not guaranteed indexing. Lead the description with the human explanation: Choose a small daily action, set an optional reminder, and review your history. Description copy communicates value rather than serving as a keyword dump. Promotional text allows 170 characters and is not indexed for search ranking. - Name: Steady Sprout: Habit Tracker — 28 characters. - Subtitle: Small routines, clear progress — 30 characters. - Keywords: daily,reminder,streak,checklist,morning,evening,goals — 53 characters including commas. ## Test plan: separate metadata from creative changes Before submission, collect a two-week baseline for the selected phrases and a relevant unchanged comparison phrase. Log app ID, exact query, storefront, timestamp, sample size, fetch status, and observed position. A missing observation stays missing, never rank 201 or zero. Schedule comparable checks for four weeks after the approved metadata becomes visible; these are planning windows, not statistical guarantees. Keep price, screenshots, and onboarding stable, and annotate unavoidable changes. Review acquisition data separately in the owner's App Store Connect account. Apple product page optimization tests icons, screenshots, and previews, not titles or the keyword field; this metadata comparison is observational, not a randomized PPO experiment. ## Continue only when the evidence remains interpretable Continue observation when samples are comparable and the listing accurately describes the experience. Stop or revise immediately if users expect unsupported functionality; pause interpretation when collection failures or a campaign contaminate the comparison. At the planned review, retain relevant wording provisionally if evidence is inconclusive rather than inventing a win. Seasonality, competing releases, and changing search results remain alternative explanations. Even illustrative rank changes would not establish causation or forecast installs. The Apple sources below establish metadata and testing rules; they do not verify this example's outcomes. ## Frequently asked questions ### Should this habit app target medical-condition keywords? Not in this scenario. A checklist does not establish clinical suitability. Reject terms that imply treatment or specialist support the product cannot provide. ### Does leaving keyword space unused waste an opportunity? Not necessarily. Relevant, nonduplicated language matters more than filling the allowance. Keep unused space until a defensible candidate emerges from research. ## Sources - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) - [Apple Developer: Product page optimization](https://developer.apple.com/app-store/product-page-optimization/) - [Apple: App Store Connect Analytics dashboard](https://developer.apple.com/help/app-store-connect-analytics/overview/analytics-dashboard) ## Next step [Start an app report](https://backmyside.com/report) Start a report without an account. Saving and tracking require sign-in, subject to plans. Back My Side has no direct App Store Connect publishing or integration. ## Related reading https://backmyside.com/guides/app-store-keyword-research https://backmyside.com/guides/app-store-keyword-field https://backmyside.com/blog/competitor-keyword-gap-analysis --- # A budget app metadata makeover without an invented success story Canonical URL: https://backmyside.com/case-studies/budget-app-metadata-makeover Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Convert Keywords: budget app metadata, App Store title and subtitle, budget planner keywords, app acquisition measurement Disclosure: Fictional worked example, not a customer result. Example numbers are illustrative, not observations or forecasts. ## Quick answer Pocket Ledger is a fictional educational scenario, not a customer. The proposed makeover makes manual budgeting explicit and separates metadata observation from screenshot testing. Every sample figure is invented; it represents neither verified lift nor guaranteed growth. ## Key takeaways - Replace vague promises with capabilities the app actually delivers. - Define a rate's numerator and denominator before comparing periods. - Treat before-and-after changes as observations, not causal proof. ## Hypothesis: clarity beats an ambiguous money promise The invented Pocket Ledger supports manual expenses, monthly envelope allocations, and bill reminders. It cannot connect bank accounts, recommend investments, or prepare tax returns. Its old name is simply Pocket Ledger, with the subtitle Your money, made simple. Those words provide little help to someone deciding whether manual entry suits their needs. The hypothesis is that explicit budgeting language reduces expectation mismatch. Constraints include unchanged pricing, an existing reminder interface, and no engineering capacity for bank connections. The exercise therefore rejects a tempting banking promise instead of treating every adjacent financial phrase as an opportunity. ## Choose candidates by intent and feature evidence These are invented sample decisions, not keyword-volume findings. Back My Side provides public Apple search samples up to 200 results; they are not official volume or downloads and do not reproduce personalized device rank. Inspect public competing listings for how they explain manual versus connected workflows, not to infer private keyword fields, which are unavailable. A candidate should survive a demonstration: can the developer show its promised task inside the current app? Financial popularity cannot compensate for a failed feature check. Illustrative budget-app candidate decisions Candidate keyword: budget planner; Intent: Allocate monthly money; Product fit: Envelope planning; Decision: Use in name Candidate keyword: bill reminders; Intent: Remember due dates; Product fit: Scheduled alerts; Decision: Reflect in subtitle Candidate keyword: expense tracker; Intent: Record purchases; Product fit: Manual entries; Decision: Test keyword tokens Candidate keyword: bank account sync; Intent: Import transactions; Product fit: No bank connection; Decision: Reject unsupported promise ## Draft metadata, then keep the creative test separate The illustrative name Pocket Ledger: Budget Planner uses 29 characters. Bills and spending reminders uses 28 as the subtitle. The keyword field expense,tracker,envelope,monthly,manual,cashflow uses 48 including commas. Apple's limits are 30, 30, and 100 respectively. Avoid duplicate words across fields and competing app names; unused capacity is preferable to irrelevant stuffing. Open the description with: Plan monthly envelopes and record purchases manually, without linking a bank account. This is human communication, not a ranking trick. Promotional text permits 170 characters and is not indexed for rank. Later, test a screenshot showing manual entry through Apple's PPO, which tests icons, screenshots, and previews, not metadata titles or keyword fields. ## An invented worksheet with an explicit denominator The table contains invented sample figures, not measured results. Define this worksheet's acquisition ratio as first-time downloads divided by unique impressions for matching United States search-source periods. It is not Apple's named conversion-rate metric or a user-level funnel probability. Search-source reporting can include Apple Ads, so record campaign changes and inspect available breakdowns. Moving from 8% to 9% is an increase of 1 percentage point, or 12.5% relative to 8%. Those arithmetic differences do not establish significance or causation. They must not be described as verified conversion lift, metadata impact, or an install forecast. Illustrative acquisition worksheet with invented sample counts Period: Before; First-time downloads: 80; Unique impressions: 1,000; Downloads / impressions: 8% Period: After; First-time downloads: 99; Unique impressions: 1,100; Downloads / impressions: 9% ## Test plan, stopping rules, and remaining uncertainty Archive the old listing and collect matched weekday baseline observations before publishing the metadata revision manually. Keep creative assets stable during the comparison. Predefine a review after four complete weeks, recording approval timing, campaigns, outages, and source mix. Missing rank observations remain missing, not rank 201 or zero. Continue only with accurate promises and comparable data. Stop the comparison if bank-sync confusion persists or a pricing change destroys comparability; investigate rather than declaring a loser. Insufficient data means inconclusive. Apple sources establish rules and analytics context, not example outcomes. Rank movement cannot demonstrate causation or forecast installs. ## Frequently asked questions ### Should the listing hide manual entry to sound more convenient? No. Manual entry is a material workflow choice. State it clearly so people seeking automatic bank imports can recognize the mismatch before downloading. ### Why is the worksheet not a product-page conversion rate? Its denominator is unique impressions, not product-page visitors. Its numerator is first-time downloads. Preserve those definitions instead of relabeling the ratio to suggest a different funnel. ## Sources - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple: App Store Connect Analytics dashboard](https://developer.apple.com/help/app-store-connect-analytics/overview/analytics-dashboard) - [Apple Developer: Product page optimization](https://developer.apple.com/app-store/product-page-optimization/) ## Next step [Review an app's metadata](https://backmyside.com/report) The initial report needs no account. Saving and tracking require sign-in, subject to plans. There is no direct App Store Connect publishing or integration. ## Related reading https://backmyside.com/guides/app-title-subtitle https://backmyside.com/guides/app-store-conversion-rate https://backmyside.com/blog/screenshot-keyword-message-match https://backmyside.com/blog/app-growth-metrics-that-matter --- # A fitness app localization plan built around language and product readiness Canonical URL: https://backmyside.com/case-studies/fitness-app-localization-plan Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Expand Keywords: fitness app localization, Spanish App Store keywords, App Store localization plan, localized fitness metadata Disclosure: Fictional worked example, not a customer result. Example numbers are illustrative, not observations or forecasts. ## Quick answer Cedar Tempo is a fictional educational scenario, not a customer expanding into Spain. The hypothesis links locally understandable home-workout language to a genuinely localized experience. Candidate phrases and examples are invented, not verified demand, measured lift, or guaranteed growth. ## Key takeaways - Research local intent instead of translating a keyword list literally. - Separate storefront research from language and in-app localization. - Gate expansion on product readiness, not an attractive sample rank. ## Hypothesis and a deliberately small expansion scope The invented Cedar Tempo offers short, equipment-free strength and mobility sessions for beginners. The exercise assumes Spanish interface copy is drafted but exercise instructions still need review. The team can support Spain first; it cannot responsibly promise rehabilitation, personalized medical advice, or comprehensive support across every Spanish-speaking market. The hypothesis is that locally understandable home-workout language will better communicate the existing offer. The constraint is readiness: listing localization must not outrun usable instructions, support, or subscription explanations. A translated search phrase is only a candidate until a fluent reviewer confirms meaning and the team verifies the corresponding experience. ## Candidate phrases are research questions, not translations to ship This invented sample shortlist separates intent from literal English equivalents. Ask a reviewer in the target market to explain what each phrase promises, then inspect public results in Spain. Do not assume Spain's language preferences represent Mexico or every Spanish-speaking audience. A storefront country and a user's language are different dimensions. Back My Side samples up to 200 public Apple search results, not official volume or downloads, and not personalized device rank. Public competitor copy can reveal positioning, but competitors' private keyword fields are unavailable. Illustrative Spanish fitness candidate decisions Candidate keyword: ejercicio en casa; Intent: Exercise at home; Product fit: Home sessions; Decision: Validate local phrasing Candidate keyword: rutinas sin equipo; Intent: Train without equipment; Product fit: Bodyweight sessions; Decision: Draft subtitle Candidate keyword: movilidad principiantes; Intent: Beginner movement practice; Product fit: Introductory routines; Decision: Review natural wording Candidate keyword: fisioterapia; Intent: Seek rehabilitation; Product fit: No clinical service; Decision: Reject medical implication ## A listing draft with a product-readiness gate The illustrative name Cedar Tempo: Entrena en casa uses 28 characters; Rutinas sin equipo uses 18 for the subtitle. The keyword field ejercicio,fuerza,movilidad,principiantes uses 40 including commas. Apple's limits remain 30 for the name, 30 for the subtitle, and 100 for keywords. Avoid duplicate words across fields and competing app names. These drafts require native editorial review before submission. Write descriptions for people, explaining session structure and limitations. Promotional text allows 170 characters and is not indexed for rank. Check screenshots, exercise cues, accessibility labels, purchase terms, and support replies together. Apple's metadata localization does not translate the app binary; verify both experiences separately on appropriate device language settings. ## Test plan: compare one market without inventing attribution Before release, record exact Spanish queries, Spain storefront, app ID, timestamps, fetch status, result counts, and observed positions. Repeat on a consistent schedule across matched weekday periods. Missing observations are missing, not rank 201 or zero. Keep another relevant phrase unchanged as a diagnostic comparison, not as proof of a controlled experiment. Inspect acquisition and onboarding separately using the owner's authorized analytics, with consistent region and version filters. Do not attribute every Spanish-language download to Spain. Hold screenshots stable while observing metadata; a later Apple PPO experiment may test icons, screenshots, or previews, never the title or keyword field. Annotate promotions and seasonal exercise demand. ## Stop for readiness failures; continue for interpretable learning Stop expansion if instructions are ambiguous, support cannot answer in Spanish, or the listing implies unsupported care. Continue a bounded review only after language checks pass and comparable observations accumulate. If evidence remains thin at the planned monthly review, record uncertainty rather than rolling the same copy into additional markets. Localization display depends on Apple's supported languages and fallback behavior, not simply country selection. Neither sample ranks nor illustrative changes establish causation or forecast installs. Apple sources establish localization, metadata, and testing rules; they do not verify this fictional scenario's outcomes. ## Frequently asked questions ### Can the Spain shortlist be copied directly into Mexico? Treat it as a starting question, not a finished plan. Recheck phrasing, product availability, support expectations, and public search results for the new market. ### Does adding Spanish metadata make the app itself Spanish? No. Store metadata and the app binary have separate localization workflows. Review the installed experience, including accessibility and purchases, before promising Spanish support. ## Sources - [Apple: Localize App Store information](https://developer.apple.com/help/app-store-connect/manage-app-information/localize-app-store-information/) - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple Developer: Product page optimization](https://developer.apple.com/app-store/product-page-optimization/) - [Apple: App Store Connect Analytics dashboard](https://developer.apple.com/help/app-store-connect-analytics/overview/analytics-dashboard) ## Next step [Explore storefront keywords](https://backmyside.com/explore) Explore public samples; initial reports need no account. Saving and tracking require sign-in, subject to plans. No direct App Store Connect publishing or integration is provided. ## Related reading https://backmyside.com/guides/app-store-localization https://backmyside.com/guides/app-store-keyword-research https://backmyside.com/blog/screenshot-keyword-message-match --- # A reading app rank diagnosis: investigate the observation before rewriting Canonical URL: https://backmyside.com/case-studies/reading-app-rank-diagnosis Author: Back My Side Editorial Published: 2026-09-08 Updated: 2026-09-08 Stage: Measure Keywords: reading app rank diagnosis, App Store ranking drop, keyword rank tracking, missing rank observations Disclosure: Fictional worked example, not a customer result. Example numbers are illustrative, not observations or forecasts. ## Quick answer Paper Path is a fictional educational scenario, not a customer with a measured ranking decline. Its invented chart tests a diagnosis workflow: validate collection, confirm intent, then consider metadata. Sample positions establish neither causation nor install forecasts; no verified lift or guaranteed growth is claimed. ## Key takeaways - Validate app identity, storefront, and collection status before reacting. - Keep missing observations separate from observed numeric positions. - Change metadata only when a specific relevance hypothesis survives review. ## Hypothesis: a worrying chart may combine different problems The invented Paper Path records books, notes, and reading goals. It does not sell ebooks or play audiobooks. After a routine bug-fix release, its developer notices a concerning reading tracker chart and considers replacing the title. The first hypothesis is instead that collection gaps or changed comparison conditions explain part of the apparent decline. Acquisition data is limited and release impact unverified. Archive the listing and release timestamp, confirm app ID and availability, and compare exact queries and storefronts before interpreting the chart. ## Recheck the candidate keyword before defending its rank The table is an invented sample of intent decisions, not evidence of keyword demand. A lost position matters differently for a relevant reading journal query than for an ebook-reader query the product cannot satisfy. Review public competing listings for task overlap; their private keyword fields are unavailable, so do not claim to discover a competitor's hidden metadata change. Retain a relevant comparison query to investigate collection problems. It is not a randomized control and may face independent changes. Illustrative reading-app candidate decisions Candidate keyword: reading tracker; Intent: Track reading progress; Product fit: Goals and history; Decision: Investigate core query Candidate keyword: book journal; Intent: Record reading reflections; Product fit: Notes per book; Decision: Keep comparison query Candidate keyword: ebook reader; Intent: Open digital books; Product fit: No reading engine; Decision: Reject repositioning Candidate keyword: audiobook player; Intent: Listen to books; Product fit: No audio playback; Decision: Reject unsupported intent ## Separate observed positions, absence, and collection failure These invented sample rows demonstrate logging, not a measured decline. All refer to reading tracker in the United States. Back My Side uses public Apple search samples of up to 200 results, not official volume or downloads, and not personalized device rank. The returned set can be smaller; absence does not establish the next position outside that set. Observation C has no search evidence because collection failed. Observation D successfully returned a sample without the app. Neither becomes rank 201 or zero, and neither should be silently averaged into a rank trend. Illustrative reading-tracker observation log with invented sample positions Observation: A; Collection status: Successful; app present; Returned apps: 200; Position: 18 Observation: B; Collection status: Successful; app present; Returned apps: 200; Position: 34 Observation: C; Collection status: Request failed; Returned apps: Unavailable; Position: Missing Observation: D; Collection status: Successful; app absent; Returned apps: 200; Position: Not observed in sample ## Test plan: repair the comparison before proposing a change Repeat daily checks for a planned two-week window, preserving timestamps and fetch status; duration does not establish significance. Inspect availability, metadata visibility, category changes, and competing public releases. Review the owner's App Store Connect acquisition data separately, matching region, source, and dates; annotate campaigns and seasonality. If valid observations continue to weaken and the listing omits its actual reading-log purpose, propose one metadata hypothesis. Keep screenshots stable. Apple PPO tests icons, screenshots, and previews, not titles or keyword fields. A metadata before-and-after comparison therefore remains observational. Do not turn the illustrative movement from 18 to 34 into an install-loss calculation. ## Stop the rewrite reflex and document what remains unknown Stop interpretation when app identity, storefront, or collection status is inconsistent. Continue diagnosis when comparable samples exist; consider a rewrite only after identifying an accurate, testable message change. At the scheduled review, mark unresolved evidence inconclusive rather than repeatedly swapping titles in response to noise. Search changes have multiple possible causes, and public samples cannot isolate Apple's ranking logic. Even a later recovery would not demonstrate causation or forecast installs. The Apple sources establish search and measurement rules, not verification of these fictional outcomes. ## Frequently asked questions ### Does absence from a complete sample mean the app was removed? No. Check availability separately using the correct app ID and storefront. Search absence alone cannot distinguish lower visibility from an availability problem. ### Should missing observations be replaced with the previous rank? Keep them missing. Carrying a prior value forward can hide collection failures and imply stability that was never observed. Preserve the original status alongside the gap. ## Sources - [Apple Developer: App Store search](https://developer.apple.com/app-store/search/) - [Apple: App Store Connect Analytics dashboard](https://developer.apple.com/help/app-store-connect-analytics/overview/analytics-dashboard) - [Apple Developer: Creating your product page](https://developer.apple.com/app-store/product-page/) - [Apple Developer: Product page optimization](https://developer.apple.com/app-store/product-page-optimization/) ## Next step [Plan keyword tracking](https://backmyside.com/tracker) Tracking and saving require sign-in, subject to plans; the initial report does not. Back My Side has no direct App Store Connect publishing or integration. ## Related reading https://backmyside.com/guides/app-store-rank-tracking https://backmyside.com/blog/why-app-keyword-rankings-drop https://backmyside.com/blog/app-growth-metrics-that-matter --- # ASO glossary ## Activation A product-defined action showing that a new user reached a meaningful first value, such as creating and completing a list. Its definition should reflect the app’s actual job, not just opening it. Canonical URL: https://backmyside.com/glossary#activation ## App Store optimization (ASO) Improving an app’s discovery and the clarity of its store listing so relevant people can find and evaluate it. ASO is not a guarantee of rankings, downloads, or retention. Canonical URL: https://backmyside.com/glossary#aso ## App subtitle The up-to-30-character phrase below an app’s name that explains a benefit or use case. It should complement the name rather than repeat the same words. Canonical URL: https://backmyside.com/glossary#subtitle ## Competitor keyword gap A candidate search where public result comparisons suggest a competing app is visible and your app is less visible or absent. The gap matters only if the intent fits your product. Canonical URL: https://backmyside.com/glossary#competitor-gap ## Conversion rate A ratio of a defined outcome to a defined set of eligible observations. Always state the metric definition and filters; page views and unique impressions are not interchangeable denominators. Canonical URL: https://backmyside.com/glossary#conversion-rate ## Keyword difficulty A tool-specific estimate of competitive conditions. Its meaning depends on the inputs and methodology; it is not Apple’s internal ranking formula or a promise of a particular position. Canonical URL: https://backmyside.com/glossary#keyword-difficulty ## Keyword field The private App Store Connect metadata field containing up to 100 characters of relevant comma-separated keywords. It cannot be read from a competitor’s public listing. Canonical URL: https://backmyside.com/glossary#keyword-field ## Localization Adapting language, examples, visuals, and product expectations to an intended audience. Translating metadata without supporting the promised experience in the app is incomplete localization. Canonical URL: https://backmyside.com/glossary#localization ## Long-tail keyword A narrower, more specific search phrase than a broad category query. Greater specificity can improve intent fit, but does not by itself establish low competition or enough demand. Canonical URL: https://backmyside.com/glossary#long-tail-keyword ## Not found in sample The app did not appear in the returned search results. This does not establish an exact lower rank, a zero position, or a universally missing app. Canonical URL: https://backmyside.com/glossary#not-found ## Product page optimization (PPO) Apple’s testing feature for alternate icons, screenshots, and app previews shown to randomly allocated eligible traffic. It is not a native experiment for titles or keyword fields. Canonical URL: https://backmyside.com/glossary#ppo ## Promotional text An App Store listing field of up to 170 characters for timely information. Apple says it does not affect search ranking, so it should not be used as an extra keyword field. Canonical URL: https://backmyside.com/glossary#promotional-text ## Rank snapshot A recorded observation for a particular app, exact keyword, storefront, and time. History consists of collected snapshots; failed or uncollected observations must not be invented. Canonical URL: https://backmyside.com/glossary#snapshot ## Retention Whether a consistently defined group of users returns or continues a useful behavior over time. Downloads and better public keyword positions do not establish retention. Canonical URL: https://backmyside.com/glossary#retention ## Sampled search position An app’s position within one public search response at an observation time. Back My Side samples up to 200 results; the position can differ from personalized on-device results. Canonical URL: https://backmyside.com/glossary#sampled-position ## Search intent The job someone wants to accomplish when entering a query. A keyword is useful only when the app can fulfill the expectation behind that query. Canonical URL: https://backmyside.com/glossary#search-intent ## Search volume The number of searches for a term during a defined period and scope. Public result counts and Back My Side’s relative heuristics do not reveal Apple’s exact search volume. Canonical URL: https://backmyside.com/glossary#search-volume ## Seed keyword An initial term based on an app’s core task or audience, used to discover and organize more specific candidate searches. It is a research starting point, not validated demand. Canonical URL: https://backmyside.com/glossary#seed-keyword ## Storefront A country or territory’s App Store context. A sampled position belongs to a specific storefront; it is not a worldwide ranking and is not interchangeable with a language localization. Canonical URL: https://backmyside.com/glossary#storefront ## Tracking cohort A stable group of app-keyword-storefront combinations reviewed over time. Changing its membership can change an aggregate even when individual query performance has not changed. Canonical URL: https://backmyside.com/glossary#cohort