All terms

Consumer Behaviour

App discovery

Also known as: mobile app discovery, how users find apps

App discovery is the set of ways people find and decide to install mobile apps, including store search and browse, editorial placements, web search, social feeds, advertising, AI assistants and word of mouth. It covers the whole path from first awareness to tapping install. Growth teams study it to work out which surfaces create demand and which only capture it.

What it is

App discovery describes the routes a potential user takes before installing, which may start inside an app store or entirely outside it. Common entry points include store search for a category or brand, top charts and curated collections, search engine results, creator and community recommendations, paid campaigns, and links from a company's own website or emails. The journey is rarely a single step, so a user may hear about an app socially and then search for it by name in the store.

Why it matters

Store search is heavily brand-led in many categories, so demand generated off-store often shows up as branded store queries, which complicates attribution. Understanding the real mix stops teams over-crediting the last touch and under-investing in the content, PR and community work that created the demand. It also tells you which assets matter most, because a listing that wins browse traffic may need different creative from one that converts branded searches.

How it works

Practitioners map discovery surfaces, then instrument each one with deep links, campaign parameters and store referrer data so installs can be traced back. They combine store console reports, mobile measurement partner data, surveys that ask how users heard about the app, and keyword research to see which terms drive organic store traffic. The findings guide where to spend, what to name features, and how to write listings that match the language users actually search with.

When it applies

App discovery analysis applies at launch, when entering a new market, and whenever install volume shifts without an obvious campaign change. It is also useful before a rebrand or renaming, because changes to naming can break existing discovery paths.

Examples

  • A productivity app finds that most installs follow branded store searches, traces the demand to a popular YouTube review, and builds a creator programme off the back of it.
  • A travel brand adds Android App Links and iOS Universal Links so people arriving from search results open the app rather than the mobile website.
  • A fitness app adds a how did you hear about us question to onboarding and discovers that podcast sponsorship is driving more installs than its paid social reports suggested.

How it is measured

  • Share of installs from organic store search versus browse, referrals and paid campaigns
  • Branded versus non-branded store search impressions and installs
  • Self-reported attribution from onboarding surveys, tracked by channel over time
  • Assisted installs from web and deep link traffic, measured through install referrer and link attribution data

Related terms in Consumer Behaviour

Primary research · August 2026

How ChatGPT Shortlists Software Brands

An audit across 10 categories and 60 buying questions. I recorded what ChatGPT reads, throws away and links to when a buyer asks it which software to buy, and what that decides.

60
Questions asked
10
Software markets
2,680
Results read
367
Links shown
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