What Has ChatGPT Changed On Its Paywall And Signup This Year?
Lazyweb Research detected 53 distinct UI experiments at ChatGPT (July 2026), of which 12 were detected in calendar 2026 — one of only two companies in the 276-company corpus with a defensible "this year" volume. [1] The signals cluster on signup (at least 18 experiments) and paywall/pricing (at least 8), and the 2026 changes rename generic plan rows into concrete capability labels and add named premium features like Codex and deep research. [1] These are observed before/after variations with inferred rationale, not company-confirmed A/B tests.
Lazyweb Research detected 53 distinct ChatGPT experiments (July 2026), 12 of them in 2026 — the second-largest current-year experiment volume of any app tracked.
The finding
Lazyweb Research detected 53 distinct experiments at ChatGPT across the tracked window, 12 of them in calendar 2026. [1] That puts ChatGPT second only to Finch (30 in 2026) for current-year experiment volume, so "what did ChatGPT change this year" is one of the few brand queries this corpus can answer honestly rather than reaching back to older diffs. [1] The surface mix skews to signup (at least 18 experiments) with paywall/pricing at least 8. [1]
What actually changed on the paywall
Two dated 2026 diffs show the direction of travel. On 2026-05-24, the plan comparison table renamed generic rows — "basic models," "smarter models" — into concrete capability labels: core model, advanced models, advanced image creation with Thinking, expanded memory. [2] On 2026-05-28, the feature table added Codex and deep research as a Plus-exclusive row and set the CTA price language to USD 19.99. [3] The pattern: the paid tier's differentiator moved from vague "better model" language to named, scannable capabilities.
How to apply it
If your paywall leans on abstract tier language ("pro features," "advanced access"), ChatGPT's 2026 diffs are a working example of swapping abstraction for named capabilities. The move is copy-only — no price change was detected alongside the capability relabeling [2] — which makes it a low-risk test to replicate on a mature paywall. Cross-reference against your own signup surface, since ChatGPT concentrated most of its detected 2026 activity there (at least 18 signup experiments). [1]
Caveats
All 53 experiments are observed UI variations with LLM-inferred rationale, not company-confirmed A/B tests — no lift is measured or implied. [1] Surface splits are lower bounds because screen category is unlabeled on 1,425 of 4,814 corpus experiments. [4] The 12-in-2026 count is the honest current-year figure; the remaining 41 predate 2026. [1]
The numbers
| Stat | Computed from |
|---|---|
| 53 distinct experiments (12 in 2026; at least 18 signup, at least 8 paywall) | company_total:chatgpt (value 53; splits signup 18, paywall 8, in-2026 12) |
| Capability-label rename detected 2026-05-24 | qualitative[] chatgpt 2026-05-24 entry |
| Codex + deep research row added, CTA $19.99, detected 2026-05-28 | qualitative[] chatgpt 2026-05-28 entry |
| 1,425 of 4,814 experiments have no screen category | screen_category_null_on_experiments (1425/4814) |
Sources & citations
- [1] Lazyweb Research analysis of 53 detected experiments (ChatGPT, ~800-app mobile corpus), July 2026. COUNT(DISTINCT experiment_id) on before/after screenshot diffs joined to company_name; surface splits from is_paywall + screen_category. ↩
- [2] Lazyweb Research analysis of 53 detected experiments (ChatGPT), July 2026. Dated before/after diff, 2026-05-24; rationale is LLM-inferred, not company-confirmed. ↩
- [3] Lazyweb Research analysis of 53 detected experiments (ChatGPT), July 2026. Dated before/after diff, 2026-05-28; rationale is LLM-inferred, not company-confirmed. ↩
- [4] 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.