# Which tracked apps have the richest checkout and payment flows?

Source: Lazyweb Research
Published: 2026-07-07
Sample size: n=77
Tags: checkout, monetization, mobile, ux-patterns, saas
HTML: https://www.lazyweb.com/research/which-apps-have-the-most-checkout-screens
Markdown: https://www.lazyweb.com/research/which-apps-have-the-most-checkout-screens.md

**Answer.** Among the 77 tracked mobile checkout apps, iam leads with 12 captured checkout/payment screens, followed by lyft (10), uber-eats (9), amex (8), and robinhood (8) [1]. These are the best named anchors for studying multi-step payment flows. The corpus is small (169 screens across 77 apps), so use these as case studies, not a ranking of quality [2].

> iam (12), lyft (10) and uber-eats (9) have the most captured checkout screens among 77 tracked apps — Lazyweb Research, July 2026.

## The finding: who has the deepest captured checkout flows

Screen count is a proxy for how many distinct payment surfaces an app exposes [1].

| App | Captured checkout/payment screens |
|---|---|
| iam | 12 |
| lyft | 10 |
| uber-eats | 9 |
| amex | 8 |
| robinhood | 8 |
| zero | 7 |
| hopper | 6 |
| youtube | 4 |
| adidas | 4 |

Finance (amex, robinhood) and on-demand/travel (lyft, uber-eats, hopper) apps sit near the top, consistent with flows that involve payment method selection, confirmation, and receipts [1].

## How to apply this

Use these as reference teardowns when designing a specific flow. Building a subscription checkout with plan selection? lyft's experiment moved from a $0 first month to an immediate $9.99/month price with an annual 'Save $20' upsell — a concrete example of surfacing recurring price plus plan upsell at checkout [3]. Designing an order-confirmation step? adidas's changes (explicit delivery date, free-shipping copy, payment-method row) are captured in the corpus [3]. Pick the anchor that matches your surface rather than averaging across a small, heterogeneous set.

## Caveats

Screen count reflects capture depth, not checkout quality or conversion — more screens can mean a longer, more fragmented flow [2]. The set is 77 apps and iOS-weighted; the lyft and adidas examples are single-company observed changes with inferred rationale, not measured lift [3].

## The numbers

| Stat | Computed from |
| --- | --- |
| Top checkout-screen apps: iam 12, lyft 10, uber-eats 9, amex 8, robinhood 8, zero 7, hopper 6, youtube 4, adidas 4 | top_app_checkout_companies mapping |
| 169 canonical checkout screens across 77 apps | app_checkout_canonical_screens (169 screens / 77 companies) |
| lyft moved to immediate $9.99/mo with annual 'Save $20' upsell; adidas added delivery/payment rows (observed changes) | qualitative teardowns: lyft $0-first-month -> $9.99/mo + annual upsell; adidas delivery date + payment-method row |

## Methodology

Universe: 169 canonical checkout screens across 77 tracked mobile apps. Method: rank apps by distinct captured checkout/payment screens plus qualitative review, July 2026. Caveat: screen count is capture depth, not a quality ranking.

## Sources & citations

- [1] Lazyweb Research analysis of 169 canonical checkout screens across 77 mobile apps (mobile app corpus), July 2026. Apps ranked by distinct captured checkout/payment canonical screens; top values iam 12, lyft 10, uber-eats 9.
- [2] Lazyweb Research analysis of 169 canonical checkout screens across 77 mobile apps (mobile app corpus), July 2026. Small heterogeneous corpus; screen count is capture depth, not conversion or quality.
- [3] Lazyweb Research analysis of 81 detected checkout experiments across 19 companies (mobile app corpus), July 2026. lyft and adidas qualitative teardowns: observed UI change + inferred rationale, not measured lift.

## Related questions

- [What do apps actually change when they experiment on checkout?](https://www.lazyweb.com/research/checkout-experiments-what-apps-actually-change)
- [Where do apps place upsells around checkout — and how common is it?](https://www.lazyweb.com/research/where-apps-place-checkout-upsells)
- [How large is the checkout-screen benchmark — mobile apps vs web?](https://www.lazyweb.com/research/checkout-screen-corpus-size-mobile-vs-web)