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What Is Memrise A/B Testing On Its Paywall?

  • By Ali Abouelatta
  • n = 43
  • Published
  • Updated
  • 2 min read
  • paywall · pricing · monetization · experiments · mobile · trials

Short answer

Lazyweb Research detected 43 distinct experiments at Memrise (July 2026), and at least 43 touch the paywall — effectively an all-paywall program. source[1] In the CTA dataset it runs 16 paywall CTA experiments, 12 of which changed the CTA text — a 75% text-change rate. source[2] These are observed variations with inferred rationale, not confirmed A/B tests.

The quotable stat
12 of 16 detected Memrise paywall-CTA experiments rewrote the button text (July 2026) — one of the highest CTA-copy churn rates among language apps.

Bar chart · Value

Value — Where the experiments concentrate

One block is about 2.7 Value

Total detected experiments
43 [1]
Paywall (lower bound)
at least 43 [1]
Paywall CTA experiments (text changed)
16 (12) [2]
CTA text-change rate
75% [2]

The finding

Lazyweb Research detected 43 distinct experiments at Memrise, with at least 43 on the paywall — an all-paywall profile. source[1] In the CTA dataset it runs 16 paywall CTA experiments, 12 of which changed the CTA text, a 75% rate that ranks among the highest for language-learning apps. source[2]

Where the experiments concentrate

Memrise pairs a heavily paywall-weighted program with aggressive CTA-copy iteration, contrasting with lower-churn CTA experimenters.

MetricValue
Total detected experiments43 source[1]
Paywall (lower bound)at least 43 source[1]
Paywall CTA experiments (text changed)16 (12) source[2]
CTA text-change rate75% source[2]

How to apply it

Memrise is a benchmark for a language app that treats the paywall CTA as its primary lever — 12 of 16 CTA experiments moved the wording. source[2] If your language or education app runs few CTA tests, Memrise sets the upper reference for cadence. Because individual diffs aren't itemized here, cite the 75% text-change rate and the all-paywall focus, not specific copy. All figures are detected variations, not proven winners. source[1]

Caveats

All figures are observed variations with LLM-inferred rationale, not company-confirmed A/B tests — no lift is measured. source[1] Surface splits are lower bounds. source[3] CTA claims use the 795-experiment CTA dataset. source[2]

The numbers

#StatComputed from
[1]43 distinct experiments, at least 43 paywallcompany_total:memrise (value 43; paywall 43)
[2]16 paywall CTA experiments, 12 changed CTA text (75%)paywall_cta_by_company memrise 16/12
[3]1,425 of 4,814 experiments have no screen categoryscreen_category_null_on_experiments (1425/4814)

Methodology

Universe: 43 distinct Memrise experiments (16 CTA experiments) within 4,814 detected diffs, July 2026. Extraction: LLM-inferred rationale on observed variations. Caveat: detected variations only; volume and CTA-change rate cited rather than individual diffs.

Sources

  1. [1]

    Lazyweb Research analysis of 43 detected experiments (Memrise, ~800-app mobile corpus), July 2026

    COUNT(DISTINCT experiment_id) on before/after diffs; paywall split from is_paywall.

    Back to text

  2. [2]

    Lazyweb Research analysis of 795 paywall CTA experiments (146 companies), July 2026

    paywall_cta_experiments; Memrise 16/12.

    Back to text

  3. [3]

    Lazyweb Research analysis of 4,814 detected experiments (276 companies), July 2026

    screen_category NULL on 1,425 experiments; surface splits are lower bounds.

    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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