What Is Disney+ A/B Testing On Its Plan Selection Paywall?
- By Ali Abouelatta
- n = 34
- Published
- Updated
- 2 min read
- paywall · pricing · signup · monetization · experiments · mobile
Short answer
Lazyweb Research detected 34 distinct experiments at Disney (July 2026), split across paywall (at least 13) and signup (at least 17). source[1] In the CTA dataset it runs 12 paywall CTA experiments, 11 of which changed the CTA text — a 92% text-change rate. source[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.
The finding
Lazyweb Research detected 34 distinct experiments at Disney, with paywall (at least 13) and signup (at least 17) both well-represented. source[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. source[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. source[3] The inferred rationale: plainer, benefit-explicit plan naming plus an annual choice makes the tier trade-off self-evident. source[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. source[3]
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 many experiments). source[4] CTA claims use the 795-experiment CTA dataset. source[2]
The numbers
| # | Stat | Computed from |
|---|---|---|
| [1] | 34 distinct experiments; at least 13 paywall, at least 17 signup | company_total:disney (value 34; paywall 13, signup 17) |
| [2] | 12 paywall CTA experiments, 11 changed CTA text | paywall_cta_by_company disney 12/11 |
| [3] | Plan names simplified to Basic (With Ads)/Premium (No Ads), yearly added | qualitative[] disney_cta entry |
| [4] | 1,425 of 4,814 experiments have no screen category | screen_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
- [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]
Lazyweb Research analysis of 795 paywall CTA experiments (146 companies), July 2026
paywall_cta_experiments; Disney 12/11.
- [3]
Lazyweb Research analysis of 34 detected experiments (Disney), July 2026
CTA before/after diff; rationale is LLM-inferred, not company-confirmed.
- [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.