Premium badge or unlock CTA: which pattern do more apps use to signal a gated feature?

Premium/pro badges are slightly more common than unlock CTAs: 22% of 809 apps (176/809) put a premium or pro badge on a gated feature, versus 20% (159/809) that use an explicit 'unlock' CTA.^[1] Both sit above lock-icon gating (12%, 94/809).^[1] Badges label; unlock CTAs act — most mature apps use them together, one to mark the feature and one to convert the tap.

22% of apps (176/809) badge gated features as premium; 20% (159/809) use an unlock CTA — Lazyweb Research, July 2026.

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

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Finding

Across 809 apps:^[1]

Signal	Apps	Share	Role
Premium / pro badge	176	22%	Marks the feature as paid
Unlock CTA	159	20%	Converts the intent
Lock-icon gating	94	12%	Visually locks the item

The badge and the CTA are close in prevalence and complementary: a badge sets the expectation before the tap, an unlock CTA captures it at the tap.

How to apply

Use a premium/pro badge to pre-label gated features so users aren't surprised at the wall — this is the single most-used labeling device (22%). Pair it with an unlock CTA on the actual gate so the tap has somewhere to go (20%). A lock icon (12%) is a stronger visual stop; use it when you want the item to read as clearly unavailable rather than merely 'premium'.

Caveats

The three mechanics overlap — an app can badge, lock, and offer an unlock CTA on the same feature — so shares sum to more than the count of distinct apps. All are company-deduped lower bounds from LLM synonym tags.^[1]

The numbers

Stat	Computed from
22% (176/809)	premium_badge_label_prevalence: 176/809
20% (159/809)	unlock_cta_prevalence: 159/809
12% (94/809)	lock_icon_gating_prevalence: 94/809

Methodology. Universe: 809 tracked mobile apps with 44,873 tagged screenshots. Method: app-count prevalence (COUNT DISTINCT company) over tightened LLM synonym tag patterns, July 2026. Caveat: tag-based prevalence is a lower bound; raw single-word patterns (%lock%, %usage%, %blur%) were rejected for security/media/data-usage false positives.

Sources & citations

[1] Lazyweb Research analysis of 809 apps (tracked mobile app corpus with screenshots), July 2026. Prevalence deduped by COUNT(DISTINCT company_name) over 44,873 tagged screenshots; tag patterns are LLM synonym phrases (tightened after spot-checking) so every stat is a lower bound. ↩

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