What is Session Replay?

Session replay is the recording and playback of individual user sessions on a website, reconstructed from DOM mutations, network events, and input signals. Unlike video capture, the result is a vector-based replay that can be searched, filtered, and replayed at any resolution. In e-commerce, session replay is the primary tool for understanding why specific users abandoned a cart, struggled with a form, or never reached checkout.

Definition

A session replay tool injects a lightweight script that captures DOM snapshots and subsequent mutations, scroll positions, clicks, keystrokes, and console errors. Sensitive fields are masked at the source to comply with GDPR and PCI requirements. The reconstructed timeline can be linked to events from analytics or backend systems, allowing teams to jump directly to sessions where a specific behaviour - say, a failed payment attempt - occurred. Recordings are usually retained for days or weeks and sampled to control storage cost.

Why it matters

In headless-commerce stacks, the storefront often combines server-rendered shells with client-side interactivity backed by multiple APIs - product, cart, checkout, search. When something fails, traditional logs only tell part of the story. Session replay closes the gap between frontend symptoms and backend cause by surfacing the exact sequence a user encountered. Combined with structured logging across microservices, it accelerates root-cause analysis for issues that never reproduce in synthetic tests.

Use cases

Product teams use session replay to triage support tickets - replaying a customer's last session before contacting support reveals broken variant selectors or stuck loading spinners. UX teams sample sessions of users who rage-clicked to identify friction in form-optimization work. Engineering teams correlate replays with errors thrown during hydration or storefront-api calls. For conversion-rate-optimization-cro programs, replay clusters of abandoning users become qualitative input that complements quantitative funnel data.

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