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Are streak features still spreading beyond Duolingo?

  • By Ali Abouelatta
  • n = 730
  • Published
  • Updated
  • 2 min read
  • retention · onboarding · mobile · ux-patterns · experiments

Short answer

They spread, then plateaued. Streak screens rose from 6.8% of captured apps in 2023 to a 14.0% peak in 2024, then fell back to 8.1% in 2025 (59 of 730 companies) source[1]. Streaks broke out beyond Duolingo in 2024 but did not keep climbing as a share. If you are considering a streak mechanic, it is a proven-but-not-rising pattern - adopt it for fit, not because it is trending up.

The quotable stat
Streak screens peaked at 14.0% of captured apps in 2024, then settled to 8.1% in 2025 (July 2026).

Bar chart · Companies with pattern

Companies with pattern — The trend: a 2024 breakout that receded

One block is about 2.1 Companies with pattern

2023
20
2024
56
2025
59

The trend: a 2024 breakout that receded

Share of captured apps showing a streak (gamification) screen, by capture year:

Capture yearCompanies with patternCohort sizePrevalence
2023202936.8% source[1]
20245639914.0% source[1]
2025597308.1% source[1]

Streaks roughly doubled in share into 2024 as the mechanic spread beyond language-learning, then slipped back as a share in 2025 source[1].

How to apply it

The 2024 spike-and-retreat suggests streaks are best treated as a fit-dependent mechanic, not a universal growth lever. They work where a daily-habit loop is genuine (learning, fitness, journaling); the share pullback in 2025 hints that apps without that loop tried streaks and did not sustain them. Adopt streaks because your retention model rewards daily returns, not because the pattern is climbing - it is not.

Caveats

Prevalence is deduped by distinct company and matched on %streak%; it is a lower bound bounded by tag recall source[1]. Note the absolute company count barely moved 2024->2025 (56->59) while share fell, because the 2025 cohort was much larger (730 vs 399) - a reminder to read share, not counts source[2]. Partial-2026 (11 apps) is excluded as a thin-capture artifact source[2].

Real in-market screens

Screens from real, in-market apps, tracked by Lazyweb Research.

  • Perplexity library screen — real in-market example tracked by Lazyweb Research
    Perplexity1206 × 2622opens the full image
  • Target Account Setup screen — real in-market example tracked by Lazyweb Research
    Target1206 × 2622opens the full image
  • Alexa Splash/App launch screen — real in-market example tracked by Lazyweb Research
    Alexa1206 × 2622opens the full image
  • Soundcloud Account Setup screen — real in-market example tracked by Lazyweb Research
    Soundcloud1206 × 2622opens the full image

The numbers

#StatComputed from
[1]6.8% (2023, 20/293) -> 14.0% (2024, 56/399) -> 8.1% (2025, 59/730)streak_prevalence_over_time
[2]2025 cohort 730 co vs 2024 399 co; 2026 partial 11 apps excluded; read share not raw countsstreak_prevalence_over_time / capture_cohort_by_year

Methodology

Universe: 47,578 capture-dated screenshots across 809 tracked mobile apps. Method: for each capture year, share of distinct companies whose screens carry a streak tag. Reliable window 2023-2025; partial-2026 excluded. Caveat: tag-matched prevalence is a lower bound.

Sources

  1. [1]

    Lazyweb Research analysis of 809 tracked apps (mobile-app corpus, 47,578 capture-dated screenshots), July 2026

    Prevalence = share of companies captured each year whose screens carry a `%streak%` tag, deduped by company_name.

    Back to text

  2. [2]

    Lazyweb Research analysis of 809 tracked apps (mobile-app corpus, 47,578 capture-dated screenshots), July 2026

    Capture cohort sizes by year; trend read as share, not raw counts.

    Back to text

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

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