Checkout Step Diagnostics
When merchants request this
Checkout diagnostics follow a common trigger: the funnel report shows disproportionate drop-off at checkout start, but the cause is unclear. Is it the phone-number field? Postal-code validation? KakaoPay vs. card selection? This report answers those questions with field-level data.
Method
We map each checkout step and field to event data from your analytics or server logs. Retry counts, validation errors, and session exits are tallied by device class. Where data permits, we segment by payment method and shipping region.
Output
A checkout flow diagram with heat-coded friction points, a table of field-level retry rates, and a one-page recommendation list ordered by estimated impact. Recommendations reference your actual field labels and error messages — not generic best-practice lists.
Constraints
We analyse behaviour reflected in data; we do not perform live penetration testing or modify checkout code. If event tracking is incomplete, we document gaps and suggest minimum tagging additions for future reports.
Next step
Share your checkout URL, platform, and a sample analytics export covering at least 30 days.