App Store Optimisation: Getting Your App Discovered

Building a genuinely useful app is only half the battle. Without a deliberate strategy to help people actually find it among millions of competing listings, even the best app can languish with minimal downloads. This is exactly the problem App Store Optimisation exists to solve the ongoing practice of improving how an app is discovered through search and how effectively its store listing converts visitors into installs.

This guide walks through what this discipline actually involves the specific levers available on both major app stores, and a practical approach to building an ongoing optimisation process rather than treating your store listing as something you set up once and never revisit.

What App Store Optimisation Actually Means

According to Wikipedia’s definition, App Store Optimisation is the process of increasing an app’s visibility within an app store, with the objective of increasing organic downloads. Apps become more visible when they rank highly across relevant search terms, maintain strong positions in top charts, or get featured directly by the store. Beyond pure visibility, this discipline also encompasses conversion rate optimisation and the work of turning people who see your app listing into people who actually download it.

A detailed guide from MobiLoud frames this well: App Store Optimisation is genuinely an ongoing process, not a one-time setup. It involves starting from user intent, choosing relevant metadata, presenting the app clearly, building trust through strong creative assets and reviews, and measuring the complete path from impression to download then continuing to test and refine rather than treating an initial listing as finished.

Why Search Is the Most Important Discovery Channel

Understanding where your effort will have the greatest impact starts with understanding how people actually find apps. According to AppTweak’s comprehensive ASO guide, Apple has reported that 65 percent of App Store downloads follow a keyword search, making keyword and metadata optimisation the single highest-leverage activity within App Store Optimisation.

This statistic has significant practical implications. If the majority of your potential downloads come from users actively searching for something your app solves, then the words you choose in your title, subtitle, and keyword fields carry disproportionate weight compared to other aspects of your listing. Getting this foundational element right before investing heavily in other areas tends to produce the strongest return on effort.

The Three Core Pillars of App Store Optimisation

AppTweak’s guide identifies three distinct pillars that make up a complete App Store Optimisation strategy, and all three require ongoing management rather than a single setup effort.

Keyword Rankings

This pillar focuses on ensuring your app appears prominently when users search for relevant terms. It requires understanding which keywords your target users actually search for, how competitive each term is, and how to incorporate the most valuable terms into the specific metadata fields each app store actually indexes.

Conversion Rate Optimisation

Ranking well in search results only matters if the people who see your listing are actually convinced to download it. This pillar covers everything a potential user evaluates before tapping install: your icon, screenshots, preview video, description, and ratings all play a role in this decision.

Discoverability Through Features and Events

Beyond organic search, both major app stores periodically feature select apps and promote in-app events directly to users browsing the store. While this exposure is not something you can fully control, positioning your app to be a strong candidate for featuring is a legitimate and valuable part of a complete App Store Optimisation strategy.

Understanding Platform Differences: App Store vs. Google Play

One of the more important nuances in App Store Optimisation is recognising that Apple’s App Store and Google Play use meaningfully different ranking signals, which means a single, identical strategy cannot be copied simply across both platforms.

According to a detailed guide from Udonis, Apple’s App Store Connect provides a hidden 100-character keywords field that is indexed for search but never shown to users directly, in addition to the visible title and subtitle. Google Play has no equivalent hidden field; instead, Google indexes the visible long description text heavily, rewarding a keyword density of roughly 2 to 3 percent within that description according to AppTweak’s guide.

Because of these structural differences, experienced App Store Optimisation practitioners typically maintain separate keyword research and metadata strategies for iOS and Android, rather than assuming identical terms and phrasing will perform equally well on both platforms.

Optimising Your App Title and Metadata

Your app’s name carries substantial weight in both platforms’ search algorithms. Udonis’s guide notes that keywords included in the app title carry the strongest weight for indexation on both the App Store and Google Play, making this single field one of the most impactful decisions in your entire App Store Optimisation strategy.

A guide from Touchlane on Apple-specific strategy reinforces that the app title is of utmost importance, directly influencing how the app gets ranked in search results. A separate guide on App Store Connect best practices recommends keeping app names simple, easy to spell, and reflective of what the app actually does, while staying within Apple’s character limits and avoiding generic titles that closely resemble existing apps already in the store.

Beyond the title itself, effective listing optimisation also involves the subtitle (on iOS) and short description (on Google Play), both of which offer additional opportunities to reinforce relevant keywords while communicating your app’s core value proposition clearly and concisely.

Optimising Visual Assets

Screenshots, app icons, and preview videos play an enormous role in whether someone who finds your listing actually decides to download it. These visual assets are often the first, and sometimes only, information a potential user reviews before making a decision, making this a critical component of any effective App Store Optimisation effort.

Effective screenshots typically communicate your app’s core value within the first one or two images, since users rarely scroll through an entire gallery before deciding. A clear, benefit-focused first screenshot tends to outperform screenshots that simply show generic interface screens without context or explanation.

Using Built-In A/B Testing Tools

Both major platforms now offer native tools for testing different versions of your store listing directly against real traffic, rather than relying purely on intuition or third-party estimates. This capability has become an essential part of a mature optimisation program.

Apple’s Product Page Optimisation

According to Apple’s own developer documentation, Product Page Optimisation allows developers to create and manage tests directly within App Store Connect, testing up to three treatments with alternate app icons, screenshots, and app previews against the original product page. Developers select what proportion of visitors will be randomly shown a treatment instead of the original listing, allowing genuine, statistically meaningful comparisons.

A detailed walkthrough from App Radar explains that this feature became available to any developer managing an iOS app directly within App Store Connect, accessible through the Features tab, making sophisticated testing accessible without requiring third-party tools.

Google Play’s Store Listing Experiments

Google’s official Play Console documentation describes Store Listing Experiments as a way to optimise a store listing to increase installs and retention, running A/B tests to identify the most effective graphics and localised text. According to a detailed guide from MobileAction, Google recommends running these experiments for at least seven days, with additional time needed if traffic volume is low, since the platform needs sufficient data to reliably determine a winning variant.

A separate breakdown from App Radar notes that nearly every element of a Google Play listing can be tested this way such as app icon, feature graphic, screenshots, promotional video, and both short and full descriptions with the notable exception of the app title itself, which cannot be tested through this particular tool.

The Role of Ratings and Reviews

User ratings and reviews function as both a ranking signal and a powerful trust indicator for potential downloaders. According to AppTweak’s guide, apps with a rating below four stars are significantly less likely to be featured on the App Store, with roughly 95 percent of featured apps maintaining ratings above this threshold. This makes actively managing and encouraging positive reviews a meaningful component of a well-rounded App Store Optimisation strategy, not simply a passive byproduct of having a good app.

Responding to reviews, addressing legitimate complaints through app updates, and prompting satisfied users for feedback at appropriate moments in their app experience are all practical tactics that support this aspect of optimisation over time.

Localisation: Optimising Beyond a Single Market

AppTweak’s guide emphasises that app store localisation requires more than simply translating existing text as it requires adapting keywords, descriptions, and visual assets specifically for each target market, since search behavior and visual preferences vary significantly between regions and languages.

For apps targeting multiple countries or language markets, treating App Store Optimisation as a single, universal effort rather than a market-by-market process often leaves significant discoverability and conversion potential on the table. Keyword research conducted only in English, for instance, will miss entirely different search terms and phrasing that users in other markets actually use when looking for similar functionality.

Building Toward Featured Placement

While organic search remains the primary discovery channel, being featured directly by the app stores can produce a significant, concentrated spike in visibility and downloads. A detailed guide on featured placement strategy recommends contacting the App Store directly around eight weeks ahead of a launch or major update to explain why the app deserves consideration for featuring, since this lead time allows the editorial team adequate opportunity to evaluate and plan around your submission.

The same guide emphasises researching how top-performing apps in your category and adjacent categories are presented, studying their design elements, highlighted features, and copy as a benchmark for your own submission materials. Regular, meaningful app updates also signal to the platforms that an app is active and continuing to evolve, which factors into featuring consideration as part of a broader, ongoing App Store Optimisation approach rather than a one-time push around a single launch.

Measuring What Actually Matters

A comprehensive guide on ASO strategy notes that key performance metrics worth tracking on an ongoing basis include keyword rankings, downloads, conversion rates, retention, and user feedback trends. Treating App Store Optimisation as a continuous process demanding regular monitoring, rather than a project with a defined end point, is essential for sustaining and improving results over time as competitors and platform algorithms both continue to evolve.

MobiLoud’s guide specifically recommends using App Analytics within App Store Connect and the growth and acquisition reports within Play Console as the authoritative source of truth for actual store performance, while treating third-party ASO tools as useful for keyword and competitor research, with the caveat that their traffic and difficulty estimates remain estimates rather than verified store data.

Understanding How Search Algorithms Actually Rank Apps

Beyond simply knowing that keywords matter, it helps to understand at a slightly deeper level how app store search algorithms typically weigh different signals when determining rankings, since this understanding shapes smarter prioritisation decisions. Both platforms consider relevance signals, how closely your metadata matches a given search term alongside performance signals like download velocity, conversion rate, and retention after install.

This means that even a perfectly optimised keyword strategy will underperform if the underlying app itself produces poor retention or frequent uninstalls shortly after download, since the algorithms are ultimately trying to surface apps that genuinely satisfy user intent, not simply apps that match search terms on paper. This is one of the more important, if less discussed, realities of this discipline: metadata optimisation and product quality are not separate concerns but deeply intertwined factors that both feed into the same underlying ranking signals.

Download velocity is how quickly an app accumulates installs relative to its historical baseline and also plays a meaningful role, which is part of why coordinated launch efforts, press coverage, and marketing pushes around a specific date can produce ranking benefits beyond the direct downloads they generate. A sudden, concentrated spike in installs signals growing relevance to the algorithm in a way that the same number of downloads spread evenly over a longer period typically does not.

Competitor Analysis as an Ongoing Practice

Understanding what works for competing apps in your category provides valuable directional guidance, even though exact algorithmic behavior is never fully public. Regularly reviewing the top-ranking apps for your most important target keywords reveals patterns worth studying: how they structure their titles, what kind of value proposition they lead with in their first screenshot, and how they handle localisation if they operate in multiple markets.

This kind of ongoing competitive research should not be treated as a one-time exercise conducted only during initial launch planning. Competing apps update their listings, test new creative assets, and adjust their keyword strategy continuously; meaning a competitive landscape that looked one way six months ago may look meaningfully different today. Building a habit of periodically revisiting top competitors, rather than assuming your original competitive research remains accurate indefinitely, keeps your own strategy responsive to a genuinely moving target.

It is worth being thoughtful about which competitors to study most closely. Direct competitors solving the same core problem are the obvious starting point, but it is also worth examining top-performing apps in adjacent categories that may be competing for some of the same search terms or audience attention, even if their core functionality differs from yours.

Balancing Organic Optimisation With Paid Acquisition

While this guide has focused primarily on organic discovery, it is worth acknowledging how organic and paid strategies interact in practice. Many businesses run paid app install campaigns alongside their organic efforts, and there is a meaningful relationship between the two worth understanding rather than treating them as entirely separate workstreams.

Strong organic conversion rates, developed through the visual asset testing and metadata work described throughout this guide, directly improve the efficiency of paid campaigns as well, since the same store listing that paid traffic lands on benefits from every conversion improvement made for organic visitors. In this sense, investment in core listing optimisation pays dividends across both acquisition channels simultaneously, rather than benefiting organic performance alone.

Additionally, paid campaigns can sometimes contribute to overall download velocity in ways that modestly support organic ranking as well, particularly during a coordinated launch push, though this effect should be understood as a secondary benefit rather than the primary justification for paid spend. The core strategic decision about budget allocation between organic optimisation efforts and paid acquisition should still be driven primarily by each channel’s own direct return on investment.

Common Mistakes in App Store Optimisation

Treating the initial listing as finished. Many developers invest significant effort in the original store listing at launch, and then rarely revisit it afterward. Given how much competitor listings, algorithm behavior, and user expectations continue to shift, this static approach leaves considerable performance on the table over time.

Copying keyword strategy directly across platforms. As covered earlier, the App Store and Google Play index different fields and reward different approaches. A strategy built entirely around one platform’s specific mechanics often underperforms when applied unchanged to the other.

Ignoring localisation for international markets. Assuming that translated text alone is sufficient for markets with meaningfully different search behavior and visual preferences leaves real opportunity unaddressed.

Testing too many elements simultaneously. MobiLoud’s guide specifically cautions against changing several overlapping elements at once during a test, since doing so makes it difficult or impossible to determine which specific change actually caused a given result.

Neglecting reviews and ratings as an active strategy. Treating ratings as simply something that happens passively, rather than actively encouraging and managing them, overlooks a meaningful ranking and conversion factor.

A Practical Checklist for App Store Optimisation

• Have you conducted keyword research specific to each platform, rather than assuming one strategy fits both?
• Does your app title and subtitle prominently feature your most valuable, relevant keywords?
• Are your screenshots communicating clear value within the first one or two images?
• Have you set up native A/B testing through App Store Connect or Google Play Console to validate changes with real data?
• Do you have an active strategy for encouraging and responding to user reviews?
• If you target multiple markets, have you conducted market-specific keyword and visual research rather than relying on direct translation alone?
• Are you tracking keyword rankings, conversion rates, and retention on an ongoing basis rather than only at launch?

Frequently Asked Questions

How long does it take to see results from App Store Optimisation efforts? This varies considerably based on competition and category, but meaningful ranking movement often takes several weeks to a few months of consistent effort, while conversion rate improvements from visual asset testing can sometimes show measurable results within the testing period itself, often one to two weeks.

Do I need third-party ASO tools, or are the native platform tools sufficient? Native tools like App Store Connect and Google Play Console provide authoritative performance data and testing capabilities. Third-party tools add value primarily for keyword research and competitor analysis, but their estimates should be treated as directional rather than definitive.

Is App Store Optimisation only relevant for new app launches? No. Established apps benefit significantly from ongoing optimisation, since competitor listings, platform algorithms, and user search behavior all continue to evolve well beyond an app’s initial launch.

How important are reviews compared to keywords for overall ranking? Both matter, but they serve different functions. Keywords primarily drive discoverability in search, while reviews influence both ranking signals and the conversion decision once a user has already found your listing.

Should a small business or solo developer bother with formal A/B testing? Yes, where feasible, though the practical value depends on traffic volume. If your app receives very little organic traffic, tests may take considerably longer to reach statistically meaningful results, but even directional insight from a smaller-scale test is often more reliable than relying purely on intuition about which creative assets will perform best.

Final Thoughts

App Store Optimisation is not a single task to complete before launch and then forget, but an ongoing discipline spanning keyword strategy, visual presentation, user trust signals, and continuous measurement. The apps that consistently perform well in crowded categories are rarely the ones with the single best initial listing as they are the ones that treat optimisation as a continuous process of testing, learning, and refining based on real platform data.

Approaching this work systematically, understanding the genuine differences between platforms, and committing to ongoing measurement rather than a one-time setup gives any app a meaningfully better chance of being discovered by the people who would genuinely benefit from using it.

Building an app that performs well and executing a genuine App Store Optimisation strategy around it both require specialised technical and marketing expertise that most businesses do not have fully in-house. KM Software Services offers professional app development and optimisation support, helping businesses build, launch, and continuously improve their app’s discoverability and performance across both major platforms. Learn more at KM Software Services.