What are the most universal screens across mobile apps — and which are rare?

Settings is the most universal non-home screen, in 71.4% of tracked apps (578 of 809), followed by profile (58.0%) and search (55.6%) [1]. At the other end, onboarding quizzes (13.3%), streaks (11.6%), and leaderboards (6.8%) are rare, niche patterns [2]. Use this ladder to judge whether any screen you're debating is expected or optional.

Settings (71.4%) is the most universal non-home screen; leaderboards (6.8%) the rarest — across ~800 tracked apps, July 2026.

Lazyweb Research · n=809 · Published 2026-07-07

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The prevalence ladder

Ranked prevalence across 809 tracked apps [1][2]:

ScreenApps%
Settings57871.4%
Profile / account46958.0%
Search45055.6%
In-flow upsell (upper bound)37446.2%
Empty state37045.7%
Social login32940.7%
Notification primer32339.9%
Paywall30537.7%
Checkout / cart27033.4%
Referral20525.3%
Dark mode15419.0%
Biometric login13416.6%
Onboarding quiz10813.3%
Rating request10312.7%
Celebration9611.9%
Streaks9411.6%
AI assistant8810.9%
Widget upsell698.5%
Leaderboard556.8%

How to apply it

Use the ladder as a table-stakes-vs-optional test. Anything above ~50% (settings, profile, search) is an expected screen — its absence is a gap to justify. Patterns in the 30-45% band (upsell, empty state, social login, notification primer, paywall, checkout) are common but genuinely optional and category-dependent. Below ~20% (dark mode, biometric, quizzes, streaks, AI, widgets, leaderboards) are differentiators you add on purpose, usually because your vertical rewards them.

Caveats

Every figure is a lower bound on captured screens (median 41/app) [1]. The in-flow upsell figure (46.2%) is a flagged upper bound because '%upsell%' also matches subscription upsells [2]. All figures are COUNT(DISTINCT company_name) over 809 apps, deduped; the denominator is never the 62,376-row companies table.

The numbers

StatComputed from
Settings 71.4% (578), Profile 58.0% (469), Search 55.6% (450)prevalence_settings_screen, prevalence_profile_screen, prevalence_search_screen
Onboarding quiz 13.3% (108), Streaks 11.6% (94), Leaderboard 6.8% (55); in-flow upsell 46.2% (374) upper boundprevalence_onboarding_quiz, prevalence_streaks, prevalence_leaderboard, prevalence_checkout_upsell
Methodology. Universe: 809 apps with >=1 captured screen. Method: COUNT(DISTINCT company_name) per pattern tag family, ranked. July 2026. Caveat: lower bound on capture; in-flow upsell is an upper bound.

Sources & citations

  1. [1] Lazyweb Research analysis of 809 mobile apps (809 mobile apps with >=1 captured screen; 751 with tag data; median 41 screens/app), July 2026. Prevalence = COUNT(DISTINCT company_name) over LLM synonym tags; denominator is 809 tracked apps (reported conservatively over all apps-with-screens, not the 62,376-row companies table). Lower bound: only reflects screens Lazyweb captured (median 41/app).

Source: Lazyweb Research — proprietary analysis of real, in-market app screens. Cite as Lazyweb Research, 2026-07-07.

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