Building a Checkout Flow That Converts and Doesn't Leak Revenue
A DTC client came to us with a cart abandonment rate of 78%, well above the 68-70% industry baseline. Before touching any code, we instrumented every step of the funnel with granular events — not just 'checkout started' and 'purchase completed,' but field-level events for address entry, shipping method selection, and payment tokenization. That instrumentation alone took two weeks and surfaced the real problem before we wrote a single fix.
The biggest leak was shipping cost reveal. 34% of abandonment happened the instant shipping costs appeared, which in their flow was step three of four. We moved an estimated shipping calculator to the product page and cart drawer using zip-code lookup, so the number wasn't a surprise. That single change recovered roughly 9 points of conversion within a month.
We also found the payment form was re-rendering on every keystroke because form state lived in a single top-level React context, which caused visible input lag on mid-range Android devices. Splitting payment fields into isolated components with local state, and only lifting to context on blur, cut input latency from around 180ms to under 20ms.
Guest checkout mattered more than we expected. Forcing account creation before payment was costing roughly 12% of otherwise-completed orders based on funnel drop-off. We moved account creation to an optional post-purchase step with pre-filled fields, which kept the data capture without the friction.
Idle cart sessions were the last leak: Stripe payment intents were created on page load and left open for 30 minutes even if the user closed the tab, which occasionally caused double-charge disputes when users retried on a new device. We switched to creating the intent only on final submit and added idempotency keys keyed to cart ID, which eliminated the duplicate-charge tickets entirely.
None of these fixes were exotic. They were the result of watching real session replays and trusting the funnel data over assumptions about what 'should' convert. Combined, they took abandonment from 78% to 61% over a quarter, without a redesign.
