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What Is Speechify A/B Testing On Its Paywall?

  • By Ali Abouelatta
  • n = 15
  • Published
  • Updated
  • 2 min read
  • paywall · pricing · monetization · experiments · mobile · saas

Short answer

Lazyweb Research detected 15 distinct experiments at Speechify (July 2026), of which at least 15 touch the paywall. source[1] In the CTA dataset Speechify runs 10 paywall CTA experiments, but only 3 changed the CTA text — a program that iterates the offer and layout more than the button copy. source[2] These are observed before/after variations with inferred rationale, not company-confirmed A/B tests.

The quotable stat
Lazyweb Research detected 15 Speechify experiments (July 2026); only 3 of its 10 paywall-CTA tests changed the button text.

Bar chart · CTA experiments

CTA experiments — How it compares

One block is about 0.4 CTA experiments

Speechify
10
Justfit
11
Elevate
10

The finding

Lazyweb Research detected 15 distinct experiments at Speechify, with at least 15 on the paywall. source[1] In the CTA dataset it runs 10 paywall CTA experiments, only 3 of which changed the CTA text. source[2] Speechify is a paywall-concentrated text-to-speech app that mostly leaves the CTA copy fixed while testing the surrounding offer and layout.

How it compares

Speechify's low 3-of-10 CTA-text-change rate mirrors copy-light programs like Justfit (3 of 11), and contrasts sharply with copy-heavy apps like Elevate (7 of 10).

AppCTA experimentsChanged CTA text
Speechify103 source[2]
Justfit113 source[3]
Elevate107 source[4]

How to apply it

Speechify is a reference for a paywall program that keeps the CTA copy stable (3 of 10) and puts its testing energy into the offer and layout. If your team spends most cycles rewording the button, Speechify is evidence offer-side tests may be the higher-leverage lever for a TTS or media app. source[2]

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 (screen category unlabeled on 1,425 of 4,814 experiments). [cat_null] CTA claims use the 795-experiment CTA dataset. source[2]

The numbers

#StatComputed from
[1]15 distinct experiments; at least 15 paywallcompany_total:speechify (value 15; paywall 15)
[2]10 paywall CTA experiments, 3 changed CTA textpaywall_cta_by_company speechify 10/3
[3]Justfit 11 CTA experiments, 3 changed CTA textpaywall_cta_by_company justfit 11/3
[4]Elevate 10 CTA experiments, 7 changed CTA textpaywall_cta_by_company elevate 10/7
051,425 of 4,814 experiments have no screen categorycat_nullscreen_category_null_on_experiments (1425/4814)

Methodology

Universe: 15 distinct Speechify experiments (10 CTA experiments) within 4,814 detected diffs / 795 CTA diffs, July 2026. Extraction: LLM-inferred rationale on observed variations. Caveat: detected variations only, never confirmed A/B tests.

Sources

  1. [1]

    Lazyweb Research analysis of 15 detected experiments (Speechify, ~800-app mobile corpus), July 2026

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

    Back to text

  2. [2]

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

    paywall_cta_experiments; speechify 10/3.

    Back to text

  3. [3]

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

    paywall_cta_experiments; justfit 11/3.

    Back to text

  4. [4]

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

    paywall_cta_experiments; elevate 10/7.

    Back to text

  5. [cat_null]

    Lazyweb Research analysis of 4,814 detected experiments (276 companies, ~800-app mobile corpus), July 2026

    screen_category is NULL on 1,425 experiments, so all surface splits are lower bounds.

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

Explore the evidence