# Back My Side > App Store keyword research, listing clarity, and practical app-growth education. 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. ## Product - [Home](https://backmyside.com/): Public product overview. - [Analyze an app](https://backmyside.com/report): Start a report for a public App Store listing. - [Keyword explorer](https://backmyside.com/explore): Inspect a query and storefront. - [Rank tracker](https://backmyside.com/tracker): Collected keyword snapshots; sign-in and limits apply. - [Pricing](https://backmyside.com/pricing): Current plan limits. ## Start here - [Growth library](https://backmyside.com/resources): Five stages: launch, research, convert, expand, measure. - [Editorial policy](https://backmyside.com/editorial-policy): Sources, AI assistance, and data limitations. - [ASO glossary](https://backmyside.com/glossary): Plain-English definitions. ## App growth guides - [App Store optimization: a practical guide for growing an iOS app](https://backmyside.com/guides/app-store-optimization): Learn the ASO workflow from search intent to listing conversion: audit your app, prioritize keywords, improve your product page, and measure useful growth. - [How to do App Store keyword research without guessing search volume](https://backmyside.com/guides/app-store-keyword-research): Build a useful App Store keyword shortlist using search intent, public results, competitor context, and storefront-specific evidence—not invented volume. - [The App Store keyword field: how to use the 100-character limit](https://backmyside.com/guides/app-store-keyword-field): Understand Apple’s 100-character keyword field, comma and space rules, duplicate words, competitor-name restrictions, and a practical editing workflow. - [How to write an App Store title and subtitle that make sense](https://backmyside.com/guides/app-title-subtitle): Use Apple’s 30-character name and subtitle limits to communicate your app’s job, avoid keyword repetition, and write credible metadata variants. - [App Store rank tracking: how to read keyword positions responsibly](https://backmyside.com/guides/app-store-rank-tracking): Set up a stable keyword tracking cohort, distinguish missing observations from missing apps, and interpret public App Store ranks without false precision. - [App Store conversion rate optimization: diagnose before you redesign](https://backmyside.com/guides/app-store-conversion-rate): Learn how to define App Store conversion metrics, identify listing friction, plan a product page test, and avoid misleading before-and-after conclusions. - [App Store localization: research keywords and promises market by market](https://backmyside.com/guides/app-store-localization): Plan App Store localization with local search intent, product readiness, metadata limits, screenshot consistency, and a storefront-specific measurement plan. - [An app launch ASO checklist: from first listing to first growth review](https://backmyside.com/guides/app-launch-checklist): Prepare a focused iOS launch with a keyword shortlist, truthful metadata, product-page checks, a measurement baseline, and a practical first-month review. ## The app growth journal - [Back My Side vs SnapMonk: ASO research and screenshot creation compared](https://backmyside.com/blog/back-my-side-vs-snapmonk): Compare Back My Side and SnapMonk for keyword research, rank tracking, and screenshot creation. Choose by workflow, with clear feature and evidence limits. - [Why App Store screenshots matter—and the tool we recommend](https://backmyside.com/blog/why-app-store-screenshots-matter): Learn how App Store screenshots explain your app, build trust, and support conversion. Includes a practical quality checklist and our SnapMonk recommendation. - [Pre-launch keyword research: choose a promise before a keyword list](https://backmyside.com/blog/pre-launch-keyword-research): Build a defensible launch shortlist by connecting search intent, working features, competitor context, and a measurable first release. - [Long-tail App Store keywords: narrow the intent, not just the phrase](https://backmyside.com/blog/long-tail-app-store-keywords): Separate useful specific searches from decorative modifiers, then build a focused keyword cluster your product can support. - [Keyword popularity is not search volume: a practical reading guide](https://backmyside.com/blog/keyword-popularity-vs-search-volume): Understand what relative keyword indicators can support, where their evidence stops, and how to make decisions without invented demand forecasts. - [Competitor keyword gaps: find unmet intent without inventing private data](https://backmyside.com/blog/competitor-keyword-gap-analysis): Build a competitor comparison from visible metadata and sampled searches, then distinguish a messaging gap from a missing product capability. - [App Store description copywriting: answer the questions screenshots leave open](https://backmyside.com/blog/app-store-description-copywriting): Write an accurate, readable description that explains the workflow, resolves purchase objections, and avoids keyword stuffing or unsupported promises. - [Screenshot message match: show the task behind the search](https://backmyside.com/blog/screenshot-keyword-message-match): Turn search intent into a credible screenshot sequence and choose the right evidence for evaluating a visual message change. - [Why app keyword rankings drop: a triage sequence before you rewrite](https://backmyside.com/blog/why-app-keyword-rankings-drop): Check observation quality, storefront scope, listing changes, and acquisition context before treating a rank movement as a metadata failure. - [The ASO weekly review: leave with one decision, not a bigger dashboard](https://backmyside.com/blog/aso-weekly-review): Run a repeatable review that checks data coverage, compares stable keyword groups, connects acquisition to outcomes, and records the next decision. - [Choosing App Store localization markets: opportunity must meet readiness](https://backmyside.com/blog/choosing-app-store-localization-markets): Prioritize a localization pilot using product support, local search intent, operational readiness, and clearly defined evidence instead of market-size guesses. - [App Store keyword mistakes: fix the expensive assumptions first](https://backmyside.com/blog/app-store-keyword-mistakes): Audit relevance, metadata limits, private-data claims, and measurement mistakes in the order most likely to prevent wasted work and misleading promises. - [ASO vs Apple Search Ads: choose the question before the channel](https://backmyside.com/blog/aso-vs-apple-search-ads): Decide when to improve your listing, when a bounded paid experiment is useful, and why paid outcomes do not automatically prove organic growth. - [App growth metrics that matter: connect discovery to a useful first week](https://backmyside.com/blog/app-growth-metrics-that-matter): Build a compact measurement chain from visibility through acquisition, activation, retention, and commercial outcomes without confusing denominators or causality. ## App growth, worked through - [A habit tracker's keyword strategy: choose a job, not a popularity score](https://backmyside.com/case-studies/habit-tracker-keyword-strategy): A fictional habit tracker narrows its keyword candidates, drafts compliant metadata, and defines a cautious observation plan. Fictional worked example. - [A budget app metadata makeover without an invented success story](https://backmyside.com/case-studies/budget-app-metadata-makeover): A fictional manual budgeting app replaces vague promises with feature-specific metadata and a clearly defined measurement worksheet. Fictional worked example. - [A fitness app localization plan built around language and product readiness](https://backmyside.com/case-studies/fitness-app-localization-plan): A fictional home-workout app evaluates Spanish keywords, drafts a localized listing, and sets readiness gates before expansion. Fictional worked example. - [A reading app rank diagnosis: investigate the observation before rewriting](https://backmyside.com/case-studies/reading-app-rank-diagnosis): A fictional reading-log app investigates a worrying rank chart, separates missing samples from positions, and defines a disciplined response. Fictional worked example. ## Optional - [Full-text edition](https://backmyside.com/llms-full.txt): The same public articles in plain text. - [RSS feed](https://backmyside.com/feed.xml): Publication feed. - [Sitemap](https://backmyside.com/sitemap.xml): Public canonical URLs. Canonical HTML pages are the primary citation targets. These text files aid discovery; they do not guarantee AI citations or search indexing.