What Is Disney+ A/B Testing On Its Plan Selection Paywall?

Lazyweb Research detected 34 distinct experiments at Disney (July 2026), split across paywall (at least 13) and signup (at least 17). [1] In the CTA dataset it runs 12 paywall CTA experiments, 11 of which changed the CTA text — a 92% text-change rate. [2] The visible direction is plainer plan naming plus an added annual option. These are observed variations with inferred rationale, not confirmed A/B tests.

11 of 12 detected Disney+ paywall-CTA experiments rewrote the button text (July 2026) — one of the highest CTA-copy churn rates in the corpus.

Lazyweb Research · n=34 · Published 2026-07-07

paywallpricingsignupmonetizationexperimentsmobile

The finding

Lazyweb Research detected 34 distinct experiments at Disney, with paywall (at least 13) and signup (at least 17) both well-represented. [1] In the CTA dataset, 11 of 12 paywall CTA experiments changed the CTA text — a 92% text-change rate, among the highest in the corpus. [2] Disney iterates both the plan structure and the button copy on its paywall.

What actually changed

A detected diff simplified plan names from "Disney+ Basic" / "Disney+ Premium" to "Basic (With Ads)" / "Premium (No Ads)" and added a yearly option. [3] The inferred rationale: plainer, benefit-explicit plan naming plus an annual choice makes the tier trade-off self-evident. [3]

Detected changeInferred rationale
"Disney+ Basic/Premium" -> "Basic (With Ads)/Premium (No Ads)"Benefit-in-the-name clarifies the tier trade-off [3]
Yearly option addedExposes a higher-commitment plan alongside monthly [3]

How to apply it

Disney's rename puts the differentiator — ads vs. no ads — inside the plan name itself, the same move ChatGPT made with capability labels. If your tiers use brand-suffix names ("Pro," "Premium") that don't say what you get, the Disney pattern is a low-risk copy test. Add the annual option as a separate change so you can attribute any movement. These are detected variations, not proven winners. [3]

Caveats

All figures are observed variations with LLM-inferred rationale, not company-confirmed A/B tests — no lift is measured. [1] Surface splits are lower bounds (screen category unlabeled on many experiments). [4] CTA claims use the 795-experiment CTA dataset. [2]

The numbers

StatComputed from
34 distinct experiments; at least 13 paywall, at least 17 signupcompany_total:disney (value 34; paywall 13, signup 17)
12 paywall CTA experiments, 11 changed CTA textpaywall_cta_by_company disney 12/11
Plan names simplified to Basic (With Ads)/Premium (No Ads), yearly addedqualitative[] disney_cta entry
1,425 of 4,814 experiments have no screen categoryscreen_category_null_on_experiments (1425/4814)
Methodology. Universe: 34 distinct Disney experiments (12 CTA experiments) within 4,814 detected diffs, July 2026. Extraction: LLM-inferred rationale on observed variations. Caveat: detected variations only, never confirmed A/B tests.

Sources & citations

  1. [1] Lazyweb Research analysis of 34 detected experiments (Disney, ~800-app mobile corpus), July 2026. COUNT(DISTINCT experiment_id) on before/after diffs; surface splits from is_paywall + screen_category. ↩
  2. [2] Lazyweb Research analysis of 795 paywall CTA experiments (146 companies), July 2026. paywall_cta_experiments; Disney 12/11. ↩
  3. [3] Lazyweb Research analysis of 34 detected experiments (Disney), July 2026. CTA before/after diff; rationale is LLM-inferred, not company-confirmed. ↩
  4. [4] Lazyweb Research analysis of 4,814 detected experiments (276 companies), July 2026. screen_category NULL on 1,425 experiments; surface splits are lower bounds. ↩

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

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