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What Do Companies A/B Test In Paywall Secondary Actions Like Restore And Skip?

  • By Ali Abouelatta
  • n = 112
  • Published
  • Updated
  • 2 min read
  • paywall · mobile · monetization · ux-patterns · experiments · cancellation
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Short answer

Across 112 secondary-action experiments tracked by Lazyweb Research (out of 2,160 area-annotated experiments), the pattern is subtraction: removing opt-ins, ads, and escape hatches that pull attention off the yes/no decision source[1]. Secondary actions are the seventh most-tested area (5.3%) but low-impact by model score (avg 2.90/5, only 9.8% scored high-impact) source[1]source[2]. The area skews mobile (79 of 112 annotations) because it maps to paywall furniture like restore-purchases links and trial-reminder rows source[1].

The quotable stat
Secondary-action edits make up 112 of 2,160 annotated experiments (5.3%), 71% of them mobile, with an average model-assigned impact of 2.90/5, per Lazyweb Research, July 2026.

The finding: remove the distractions around the button

SECONDARY ACTIONS covers restore-purchases links, skip links, opt-ins, and other escape hatches around a primary CTA source[1]. It is tested in 112 annotations across 107 experiments, 79 of them mobile and 33 web source[1]. Average model-assigned impact is 2.90/5 and only 9.8% (11 of 112) scored high-impact, so these are refinements, not swings source[1]source[2]. The observed direction is consistently subtractive: strip elements that compete with the decision source[3].

What the observed edits look like

Two representative mobile examples: removing an 'Email me before my trial ends' opt-in row beneath the pricing text, and removing a third-party banner ad at the bottom of a paywall and replacing it with a 'Restore purchases' link source[3].

MovePlatformWhat it removesRationale (inferred)
Drop trial-reminder opt-inmobilelast-moment anxiety cuekeep focus on one yes/no
Swap banner ad for restore linkmobileattention leak + distrustcleaner purchase moment, still serves subscribers

Both keep a single primary decision in view source[3].

How to apply it

Audit your paywall for anything below or beside the CTA that isn't the decision: reminder opt-ins, third-party ads, secondary links. The observed pattern is that removing them keeps attention on the purchase source[3]. Keep genuinely required affordances (restore purchases is a store requirement and shows up as the replacement, not the casualty) source[3]. Because model impact here is low, treat these as polish once the offer and pricing are settled source[1].

Caveats

Impact is a model-assigned 1-5 score on observed before/after diffs, not measured lift source[4]. The 33 web annotations are absolute counts only per Lazyweb Research's web-thinness rule source[4]. Named examples are single observed diffs with inferred rationale, not proof that removal wins source[4].

Real in-market screens

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

  • Chatgpt Sign up screen — real in-market example tracked by Lazyweb Research
    Chatgpt1179 × 2556opens the full image
  • Citizen All plans screen — real in-market example tracked by Lazyweb Research
    Citizen1290 × 2796opens the full image
  • Alltrails Paywall / Subscription screen — real in-market example tracked by Lazyweb Research
    Alltrails1206 × 2622opens the full image
  • Gauthmath Account Setup screen — real in-market example tracked by Lazyweb Research
    Gauthmath1206 × 2622opens the full image

The numbers

#StatComputed from
[1]112 SECONDARY ACTIONS annotations (5.3% of 2,160), avg impact 2.90/5, avg confidence 3.47, 107 experiments; 79 mobile / 33 webarea_SECONDARY_ACTIONS
[2]SECONDARY ACTIONS high-impact (4+/5) share 9.8% (11 of 112)high_impact_share_by_area
[3]Observed moves: Zero removed 'Email me before my trial ends' opt-in; WeatherRadar replaced a banner ad with a 'Restore purchases' linkqualitative SECONDARY ACTIONS zero, weatherradar
[4]71% of secondary-action annotations are mobile (79 of 112); impact is a model-assigned 1-5 scorearea_SECONDARY_ACTIONS; universe

Methodology

Universe is 112 SECONDARY ACTIONS annotations within 2,160 area-level annotations over 1,126 detected experiments in the ~800 tracked-apps corpus. Areas and rationale are LLM-inferred from observed before/after screenshots; impact is a model-assigned 1-5 score, July 2026, for relative ranking only.

Sources

  1. [1]

    Lazyweb Research analysis of 112 secondary-action experiments (~800 tracked apps), July 2026

    SECONDARY ACTIONS annotations within 2,160 area-level annotations over 1,126 detected experiments.

    Back to text

  2. [2]

    Lazyweb Research analysis of high-impact-share by area (n>=30 areas), July 2026

    Share scored impact 4+/5 by the model; relative ranking only.

    Back to text

  3. [3]

    Lazyweb Research analysis of 2,160 annotated UI experiments (~800 tracked apps), July 2026

    Named examples are individual observed diffs with LLM-inferred rationale.

    Back to text

  4. [4]

    Lazyweb Research analysis of 4,814 detected experiments (~800 tracked apps), July 2026

    Web cuts are absolute counts only; impact/confidence are model-assigned 1-5 scores.

    Back to text

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

Explore the evidence

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