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FullStory - Session Replay & Digital Experience | Klero Resources

A practical guide to FullStory: session replay, analytics, and when to use it for understanding digital experience and friction.

Fullstory

FullStory records sessions (replays of user sessions) and adds analytics on top: rage clicks, dead clicks, errors, and segment-based analysis. You see what users did and correlate it with experience issues. This guide covers what FullStory does well and how to use it without treating every session as a support case.

FullStory: The Behavioral Data & Analytics Platform

Why fullstory fits product work

  • Session replay - Watch real sessions. See where users hesitate, misclick, or hit errors. Filter by URL, segment, or custom events.
  • Experience signals - Rage clicks, dead clicks, error clicks surface frustration. Use them to find problematic elements or flows without watching thousands of sessions.
  • Segmentation - Filter replays by user properties, plan, cohort, or behavior. Compare “converted” vs “churned” or “support ticket” vs “no ticket.”
  • Dev tools - Console logs, network, and errors in context. Helpful when engineering debugs issues that “only happened for one user.”
  • Privacy and masking - PII and sensitive fields can be masked or blocked. Plan what you capture and how you treat it.

    • Core concepts that matter

    Sessions and replay

    A session is one user’s visit. Replay is the recording. FullStory samples or captures based on rules (e.g. all sessions on checkout, 10% elsewhere). Use sampling to stay within limits and focus on high-value or high-friction pages.

    Experience metrics

    How to Use FullStory: Session Replay & Analytics

    Rage clicks - Many clicks in one spot in a short time. Often means “this didn’t work” or “this isn’t clickable.” Dead clicks - Clicks on non-interactive elements. Suggests misleading UI. Error clicks - Clicks that coincide with JS errors. Use these lists to prioritize where to look and what to fix.

    Segments and funnels

    Segments define groups (e.g. “saw error”, “dropped at step 3”, “signed up this week”). Use them to filter replays and build experience funnels. Funnels in FullStory show drop-off and can be tied to session replay so you see what happened at each step.

    Privacy and compliance

    Masking hides or blurs elements (inputs, custom areas). Blocking prevents capture of certain elements or pages. Consent - Ensure your capture and use match your policy and jurisdiction. Default to masking inputs and PII; document choices.

    Practical habits

  • Sample strategically - 100% on checkout or signup; lower elsewhere. Increase on problem pages when investigating.
  • Use experience signals as a queue - Rage and dead clicks = “review these pages and elements.” Replays explain; metrics prioritize.
  • Segment for context - When debugging churn or support spikes, filter by segment and watch a sample of sessions. Avoid “all sessions” as default.
  • Correlate with product analytics - FullStory answers “what did they do and why did it feel broken?”. Use Amplitude/Mixpanel for “how many, how often?”. Pair them.
  • Document privacy rules - What’s masked, what’s blocked, what’s in scope. Review when you add new forms or pages.

    • When fullstory isn’t the fit

  • Core product analytics - Use Amplitude or Mixpanel for events, funnels, retention. FullStory is for experience and qualitative insight, not primary behavioral reporting.
  • Very low traffic - If you have few sessions, replay may not be worth the cost. Consider Hotjar or a lighter recorder for small properties.
  • Strict compliance - In regulated or high-sensitivity contexts, verify that capture, masking, and retention meet your requirements. Sometimes “no replay” or “replay only in support, with consent” is the right call.

    • Pricing (high level)

    Pricing is typically by sessions or users and by feature tier. Check FullStory’s pricing for current plans.

    FullStory is a strong default when you want to see and diagnose digital experience at scale. Use experience metrics to prioritize, replays to understand, and segments to compare. Pair it with product analytics and keep privacy rules clear.

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