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What Is DoorDash A/B Testing On Its Checkout And DashPass Upsell?

  • By Ali Abouelatta
  • n = 221
  • Published
  • Updated
  • 3 min read
  • checkout · upsell · monetization · experiments · mobile · saas

Short answer

Lazyweb Research detected 221 distinct experiments at DoorDash (July 2026) — the largest single-company test set in the entire 276-company corpus, roughly 2.6x the next-biggest app. source[1] The visible activity concentrates on the home surface (at least 45) with a smaller paywall footprint (at least 5), and the standout dated diffs turn the order-confirmation moment into a concrete-dollar DashPass upsell. source[1]source[2] These are observed before/after variations with inferred rationale, not company-confirmed A/B tests.

The quotable stat
Lazyweb Research detected 221 DoorDash experiments (July 2026) — the largest test set of any app tracked, including a checkout upsell showing '$9.00 SAVED with DashPass'.

The finding

Lazyweb Research detected 221 distinct experiments at DoorDash, the highest count of any company in the corpus and roughly 2.6x the second place (Wattpad, 85). source[1]source[3] The detected mix skews to the home surface (at least 45 experiments) with a modest paywall footprint (at least 5). source[1] DoorDash is the corpus's clearest example of a high-frequency experimenter iterating across the whole shopping funnel, not just the paywall.

What actually changed

Two dated 2026 diffs show DoorDash weaving monetization into transactional moments. On 2026-01-22, a plain "Submitting Order" modal was replaced by a full-screen DashPass upsell reading "$9.00 SAVED with DashPass deals" with a smaller order card below — inferred rationale: surfacing a concrete dollar amount saved at the moment of commitment increases subscription uptake. source[2] On 2026-02-06, the delivery progress bar added a car icon with a checkmark plus a "Your order is complete. Enjoy!" confirmation message — inferred rationale: an explicit completion message improves clarity and satisfaction. source[4]

Detected changeDateInferred rationale
"Submitting Order" modal -> full-screen DashPass upsell ("$9.00 SAVED")2026-01-22Concrete dollar-saved at commitment lifts subscription uptake source[2]
Progress bar adds checkmark + "Your order is complete. Enjoy!"2026-02-06Explicit completion message improves clarity source[4]

How to apply it

DoorDash's checkout upsell is the copyable pattern: attach the subscription pitch to a high-intent transactional moment (order submit) and quantify the benefit in dollars rather than abstract "member perks." If your upsell lives on a settings page far from purchase intent, moving it into the commit step — with a concrete savings number — is the DoorDash-style test. The progress-bar confirmation is a separate clarity change; run it independently. Both are detected variations, not proven winners. source[2]source[4]

Caveats

All 221 experiments are observed variations with LLM-inferred rationale, not company-confirmed A/B tests — no lift is measured. source[1] Surface splits are lower bounds because screen category is unlabeled on 1,425 of 4,814 corpus experiments. [cat_null] Only 2 DoorDash experiments were detected in 2026, so this page cites specific dated diffs rather than a 'this year' volume. source[1]

The numbers

#StatComputed from
[1]221 distinct experiments; at least 45 home, at least 5 paywall; 2 in 2026company_total:doordash (value 221; home 45, paywall 5, in-2026 2)
[2]Checkout DashPass upsell '$9.00 SAVED', 2026-01-22qualitative[] doordash 2026-01-22 entry
[3]Wattpad is the second-largest at 85 experimentscompany_total:wattpad (value 85)
[4]Order-complete confirmation added, 2026-02-06qualitative[] doordash 2026-02-06 entry
051,425 of 4,814 experiments have no screen categorycat_nullscreen_category_null_on_experiments (1425/4814)

Methodology

Universe: 221 distinct DoorDash experiments (COUNT(DISTINCT experiment_id)) within 4,814 detected before/after UI diffs across 276 companies, July 2026. Extraction: LLM-inferred rationale on observed screenshot variations. Caveat: detected variations only, never company-confirmed A/B tests.

Sources

  1. [1]

    Lazyweb Research analysis of 221 detected experiments (DoorDash, ~800-app mobile corpus), July 2026

    COUNT(DISTINCT experiment_id) on before/after diffs; surface splits from is_paywall + screen_category.

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  2. [2]

    Lazyweb Research analysis of 221 detected experiments (DoorDash, ~800-app mobile corpus), July 2026

    Dated before/after diff, 2026-01-22; rationale is LLM-inferred, not company-confirmed.

    Back to text

  3. [3]

    Lazyweb Research analysis of 85 detected experiments (Wattpad, ~800-app mobile corpus), July 2026

    COUNT(DISTINCT experiment_id); second-highest company total in the corpus.

    Back to text

  4. [4]

    Lazyweb Research analysis of 221 detected experiments (DoorDash, ~800-app mobile corpus), July 2026

    Dated before/after diff, 2026-02-06; rationale is LLM-inferred.

    Back to text

  5. [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.

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