What makes an app successful in the App Store

There are 1.9 million apps on the Apple App Store as of 2025, according to 42matters, 2025. Google Play carries another 2.03 million. Most of them are invisible. They were built by people who believed in what they had made, launched with some degree of hope, and then sat there generating almost nothing because the work of making them findable, trustworthy, and worth staying in was never done properly. Building the app is the beginning. Getting it to succeed is a different job entirely.

The work of making an app findable, trustworthy, and worth staying in is a different job from building it.

We have seen this play out in ways that are expensive to undo. On one project, we worked on a social football platform that launched iOS-only, confident the product quality would carry it. The target audience skewed younger, and younger audiences in that space skew heavily towards Android. Day-one adoption was roughly half what it would have been had both platforms launched together. The client eventually had to introduce advertising and abandon the subscription model they had built the business around, because the user base was never large enough to make subscriptions work. That is the kind of structural damage that does not resolve itself with a good update.

What follows is our thinking on how to approach that job: how the App Store actually works, what it rewards, where the reversible decisions are, and where they are not.

What the App Store actually rewards

The App Store algorithm sorts apps by a combination of signals: keyword relevance, conversion rate from page view to download, ratings volume and recency, and retention data. An app with a genuinely good product that nobody downloads scores poorly on conversion. An app that gets downloads but loses users inside 48 hours scores poorly on retention. The store rewards apps that do both things, and doing both requires working on different parts of the product at the same time.

Conversion and retention are connected in a way that most launch plans treat as sequential. Teams optimise the listing, then launch, then think about retention. The more useful frame is that the listing and the product experience are working on the same problem: whether the person who arrives at the app gets what they expected. If the listing overpromises, downloads go up briefly and then retention collapses. If the listing undersells the product, conversion suffers even though the experience would have earned the user's trust.

The stores also reward recency. Regular updates signal an active product. Keyword fields get reassessed. Ratings accumulate. An app that launched cleanly two years ago and has not been touched since will drift down rankings even if the product itself still works. Maintenance is part of the strategy, not a separate activity.

Keyword strategy and search discoverability

Over 65% of app downloads start with a search, according to Stormy.ai. That figure puts keyword strategy at the centre of acquisition, not at the edge of it. The terms in your app title, subtitle, and keyword field determine which searches surface your product. The description field does not contribute to indexing on the App Store, so the 4,000 characters it allows are doing conversion work, not discovery work.

The keyword field allows 100 characters. Spaces between keywords waste them. Repeating a keyword that already appears in the title wastes them too. The indexed fields are the title, subtitle, and keyword field, and they should each carry different terms rather than reinforcing one another redundantly.

The stabilisation window

Any change to an indexed field resets a roughly four-week keyword stabilisation window, during which the store is re-evaluating rankings for the new terms. Swapping screenshots or editing promotional text does not trigger the same reset. This means keyword changes should be deliberate and infrequent, tested in clusters rather than adjusted piecemeal every week. Changing one term, waiting a month to assess, then changing another is a slow path to useful data.

Long-tail terms

Competing directly against category leaders on their primary keyword is unlikely to produce meaningful ranking for a new app. Long-tail terms, phrases of three or four words that describe a specific use case or audience, carry lower competition and often higher intent. A user searching for something specific is further along in their decision than one browsing broadly, and ranking fifth for a specific term produces more qualified downloads than ranking fiftieth for a broad one.

Category selection and where to launch first

Category choice shapes who sees your app and how easy it is to rank. A product that could sit in two categories faces a real strategic decision at launch, and the wrong choice can mean building a strong product in a position where it never gets found.

Our recommendation, when a product has a genuine choice between categories, is to launch in the less competitive one first. Ranking higher in a smaller category generates more organic impressions, more downloads, and more usage data. That traction and the ratings that come with it are then transferable when the decision is made to move into the primary, more competitive category.

Ranking fifth in the right category beats ranking fiftieth in the category everyone already dominates.

The social football platform we worked on faced a version of this problem, compounded by the iOS-only launch decision. Starting in a smaller, more achievable category position would not have solved the platform mismatch, but it would have generated the organic momentum the product needed before the harder fight for visibility in the primary category. Instead, it launched into a competitive space without the user base to compete there.

Check the top 10 ranked apps in any category you are considering. If all ten have thousands of ratings and years of history, that category will resist your entry. Look at the category below it and evaluate whether the audience overlap is close enough to launch there first.

Your App Store listing as a sales page

The App Store listing is a sales page. It has a job to do: convert someone who found the app into someone who downloads it. That job is served by communicating what the person's experience will be and why it is worth their time.

Fewer than 5% of users tap to expand the full app store description beyond the opening two or three lines, according to Iconikai. The opening lines carry almost all of the description's conversion weight. The first sentence should not be a history of the company or a list of what the app contains. It should be the clearest possible statement of what the user gets.

Self-selection is the goal

A listing that accurately describes the product does something beyond converting downloads. It self-selects the audience. Users who download after reading an honest, specific description already know what they are getting into. They open the app with correct expectations, which reduces early abandonment caused by the gap between what the listing implied and what the product delivered.

We worked on a gifting and wishlist platform where the client was reluctant to invest time in the listing, believing word-of-mouth would carry the product because of its social nature. Our position was that even a referral-driven product needs a clear listing, because the person receiving that referral will still check the store page before downloading, and if that page is vague or confusing, the referral converts at a lower rate than it should.

What good copy does

Good listing copy earns downloads from the right people and actively discourages downloads from the wrong ones. A user who downloads, bounces immediately, and leaves a one-star review harms the product more than a user who reads the listing and decides it is not for them.

Screenshots, previews, and the half-second decision

By the time a user reaches your app's store page, they have already made a rough judgement about whether the product looks worth their attention. Screenshots are where that judgement gets confirmed or reversed. According to ASOMobile, roughly 90% of users do not scroll past the third screenshot, which means the first three images carry the majority of the visual selling.

The instinct to use screenshots as a product tour, showing each screen in sequence, misses what screenshots are for. Each one is an argument for why the app deserves a download. The argument is clearer when the screenshot shows a benefit rather than a feature. "See your nutrition at a glance" works better than a screenshot of a dashboard with no context, because the user understands the value without having to infer it.

Test your first screenshot in isolation. Show it to someone unfamiliar with the product for three seconds and ask them what the app does. If they cannot tell you, the screenshot is not doing its job.

96% of top apps on the App Store use vertical screenshots, and updating screenshots can improve installs by over 21% in some cases, according to AppTweak. The format and content of screenshots are levers that can be pulled without resetting the keyword stabilisation window, which makes them a relatively safe place to run iterative tests without disrupting ranking momentum.

Why referral is not a substitute for ASO

Products built around sharing, group activity, or social mechanics often attract the assumption that organic growth will carry acquisition. The product shares itself, so the store listing matters less. We have seen this argument made sincerely, and it is wrong.

The gifting and wishlist platform we worked on rested on exactly this logic. The client was genuinely hesitant to invest in App Store work because the product's mechanics meant users would be inviting others into it. Our view was that the referral and the listing are working in sequence, not in competition. Someone receives an invitation, becomes curious, and looks the app up. What they find in the store either converts them or loses them. A vague icon, an unclear subtitle, and screenshots that do not communicate the product's nature all reduce conversion from what should already be a warm lead.

ASO also covers the population of people who were never referred but are searching for the category of product your app belongs to. Referral reaches existing relationships. Search reaches everyone else. Treating one as a substitute for the other is choosing a smaller addressable market.

Audit your listing from the perspective of someone who has never heard of your product and arrived via a category search rather than a direct link. Does the icon, title, and first screenshot make the value proposition obvious in under five seconds?

Platform choice and who you are actually building for

The decision to launch on iOS, Android, or both is rarely treated with the weight it deserves. Development cost and timeline considerations push teams towards a single platform, which is often iOS, on the assumption that iOS users are higher-value or that the platform is easier to develop for. Both things can be true and still lead to the wrong choice for a specific product.

We worked on the social football platform and launched on iOS first. The product's audience was younger, and younger audiences in the UK football space skew considerably towards Android. The consequence was that day-one adoption was roughly half what it would have been with a dual-platform launch. The audience most likely to use and share the product was the audience least able to access it.

Audience demographics should drive the platform decision, not developer preference or a general assumption about user value. Before committing to a single platform, map where your target users actually are.

Onboarding and the three-day retention cliff

25% of users have already left an app for good by the end of day one, according to Business of Apps. The onboarding experience is the variable most likely to determine whether a user becomes one of them. And users who experience friction in their first session are 2.7 times less likely to return by Day 7, according to AppsFlyer.

Good onboarding has one job: get the user to a moment where the product does something genuinely useful for them. Every screen that delays that moment is a screen that increases the chance of losing the user. Account creation before value delivery is a common version of this problem. Asking for permissions before demonstrating why they are needed is another. The user has not yet been given a reason to trust the product, so every request feels presumptuous.

The first sixty seconds

Our pre-launch checklist includes a specific test: can a new user reach the product's core value within the first 60 seconds, without friction? We test this with real users, watching where they hesitate, where they re-read instructions, and where they abandon. Those moments identify the friction points that retention data will later confirm but cannot explain on its own.

Progressive disclosure

Showing everything the app can do in the first session overwhelms users and obscures the one thing they actually need. Progressive disclosure, introducing features in response to demonstrated need rather than all at once, keeps the cognitive load manageable and lets the value land before the complexity follows.

Validating the product before you optimise the listing

A pre-launch founder in the football industry came to us with a colour-coded spreadsheet mapping out competitor products, with plans to merge multiple apps into one comprehensive platform. They were visibly excited. When we began asking questions about why a user would choose an all-in-one product over specialised apps, and whether consolidating multiple functions risked making each one worse than the dedicated alternative it was replacing, the conversation became uncomfortable. It was our job to make it uncomfortable. Building on an assumption that has not been pressure-tested produces a product that the listing cannot save.

Our pre-launch validation checklist covers five areas before anything else is discussed. First, a validated user need confirmed beyond the founder's own experience, through focus groups or surveys. Second, an onboarding flow tested with real users to identify comprehension gaps and friction. Third, a value proposition visible within the first 60 seconds. Fourth, the ability to complete first value generation without friction. Fifth, no overwhelming of users with features before they have understood the core product.

1. Validated user need, confirmed via research beyond the founding team's assumptions
2. Tested onboarding with real users, not internal ones
3. Clear value proposition visible within 60 seconds
4. First value moment reachable without friction
5. No feature overload before the core experience has landed

App Store copy, screenshots, and category selection are secondary checks. Getting those right for a product that has not cleared the five above is polishing a listing that the product itself will undermine the moment someone downloads it.

Trust signals and what hesitation is telling you

Hesitation inside an app is data. A user who enters a permissions screen, backs out, and returns to it three times is telling you something specific about that screen. A user who scrolls repeatedly through terms and conditions without proceeding is either confused by the language or uncertain about what they are agreeing to. Neither of those is a trust problem that more design polish solves.

The behavioural signals worth tracking are more granular than standard funnel metrics. Time on screen, instances of entering and exiting the same screen repeatedly, and scrolling behaviour on high-stakes screens are the patterns that identify where trust is breaking down. A funnel that shows 40% drop-off at the permissions step tells you there is a problem. Time-on-screen data for users who do proceed tells you whether the ones who stayed were confident or just stubborn.

What silence means

Users who abandon do not usually say why. They do not file a support ticket or leave a review explaining that they did not understand the data permissions screen. They simply leave. Treating the absence of complaints as evidence that things are working is one of the more expensive assumptions a product team can make. The absence of negative feedback is not the same as the presence of a good experience.

Ratings, reviews, and the credibility loop

Ratings affect both ranking and conversion. A higher average rating improves search visibility. On the store page, the rating is one of the first things a hesitant user checks. A product sitting at a 3.2 average with 40 reviews sends a different signal than one at 4.5 with 400, and users interpret both the number and the volume.

The timing of rating prompts matters considerably. We observed a client add a rating prompt that appeared the moment the app was opened. The user had not yet used the product. They had no experience to rate. Prompts placed before any value has been delivered produce lower ratings from users who feel interrupted, and they waste the moment entirely. The prompt should appear after the user has done something, completed a goal, finished a session, reached a milestone, because that is when they have a positive feeling to convert into an action.

Ask for a rating after a positive moment, never before the user has had a chance to experience the product.

Reviews also provide qualitative data that analytics cannot. A cluster of reviews mentioning the same pain point is a roadmap. Responding to reviews, particularly critical ones, signals to prospective users that the team behind the product is present and listening. That signal has conversion value independent of the review content itself.

Identify the two or three moments in your app where users are most likely to feel genuine satisfaction, then place your rating prompt immediately after one of them. A well-timed prompt to a happy user consistently outperforms a generic prompt to a neutral one.

What is difficult to reverse once you have launched

Some decisions compound. The social football platform's iOS-only launch left a mark that updates and optimisations could not fully repair. The subscription model the client had built around was abandoned. Advertising was introduced, which changed the product's character in ways that affected user experience and, by extension, retention. Each reactive decision created the conditions for the next one.

The app name is another difficult reversal. Changing the title means losing the keyword history and ranking the original title accumulated. Users who know the product by one name may not find it under another. The brand equity built around an app's name is not transferable the way a website domain might be redirected.

Registration requirements

When we built the anonymous messaging app that required upfront registration before users could access any of the product, we had to front-load all the communication that would normally happen through product use into the App Store listing itself. The listing, the screenshots, and the store description had to carry the full weight of communicating what the app did and why it was worth trusting, because users could not get a feel for the product before committing their details. That requirement was baked into the product's architecture. Changing it later would have meant rebuilding the experience, not adjusting the listing. The decisions that are hardest to reverse are the ones made at the structural level before launch.

Category history

Moving categories after launch is possible, but it resets the ranking history in the destination category and carries no guarantee of transferring the position achieved in the original one. The two-stage approach we recommend, launching in the less competitive category first, treats this constraint as a feature rather than a problem, because the move is planned and timed rather than reactive.

Conclusion

App success is built out of decisions that compound over time, most of them made before launch. Platform choice, category selection, keyword strategy, listing copy, onboarding flow, and rating prompt timing all interact. Getting one right does not rescue the others. Getting several wrong produces a situation that is expensive and sometimes structurally impossible to fix.

The pattern we see across projects where things go wrong is rarely a lack of effort. Teams work hard on the product and then treat the App Store presence and the user experience around launch as an afterthought. The product deserved better than that, and so did the audience it was built for.

Validate the need before you polish the listing. Choose your platform based on where your audience actually is. Treat the listing as a sales page that self-selects the right users. Test onboarding with real people before launch, not after. Track hesitation as a signal, not noise. Ask for ratings at the right moment. And build in the flexibility to adapt, because the one thing every project has in common is that something unexpected happens, and the teams that handle it best are the ones who left themselves room to respond.

If you are building a product and want to pressure-test the decisions before they become difficult to reverse, let's talk about your app.

Frequently Asked Questions