How can I monitor platform usage and identify where users drop off during the checkout process? While we had decent metrics on page views, we lacked visibility into user behavior across the funnel — especially what caused friction or abandonment.
I built a lightweight yet powerful client-side analytics framework in JavaScript that automatically captures every meaningful user action — including clicks, scroll depth, time on page, and custom-defined events during the checkout flow.
These interactions were logged with timestamps and metadata, then reported to the backend via batching. From there, we visualized usage patterns to pinpoint drop-off zones, loading delays, or confusing steps in the funnel.
With this data, product teams could validate hypotheses, A/B test copy and layouts, and prioritize UI/UX improvements — leading to measurable gains in conversion rates.
