What Is Domino's A/B Testing On Its Home And Ordering Screen?
Lazyweb Research detected 12 distinct experiments at Domino's (July 2026), of which at least 11 are on the home surface. [1] Like Crumbl, Domino's concentrates nearly all its detected iteration on the ordering/merchandising home screen rather than a paywall. These are observed before/after variations with inferred rationale, not company-confirmed A/B tests.
Lazyweb Research detected 12 Domino's experiments (July 2026), at least 11 on the home screen.
The finding
Lazyweb Research detected 12 distinct experiments at Domino's, with at least 11 on the home surface. [1] Domino's joins Crumbl (39 home) and DoorDash (45 home) as a food-ordering app that runs nearly all detected iteration on the home/ordering screen — the merchandising surface is the product for these apps.
How to apply it
Domino's reinforces the food-ordering pattern: the home/menu surface is effectively the only test surface (at least 11 of 12). If you build an ordering app, this trio — DoorDash, Crumbl, Domino's — is the evidence that merchandising, not a paywall, is where the category's testing energy goes. No Domino's experiments were detected in 2026. [1]
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 because screen category is unlabeled on 1,425 of 4,814 corpus experiments. [cat_null]
The numbers
| Stat | Computed from |
|---|---|
| 12 distinct experiments; at least 11 home | company_total:dominos (value 12; home 11, in-2026 0) |
| 1,425 of 4,814 experiments have no screen category | screen_category_null_on_experiments (1425/4814) |
Sources & citations
- [1] Lazyweb Research analysis of 12 detected experiments (Domino's, ~800-app mobile corpus), July 2026. COUNT(DISTINCT experiment_id) on before/after diffs; surface splits from is_paywall + screen_category. ↩
- [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.