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FullStory

Analytics

FullStory is a digital experience analytics platform that records every session on your product or storefront, so you can see exactly where users get stuck, what features they ignore, and which moments cost you revenue. It turns invisible UX friction into signals the rest of your stack can act on.

Most product and growth teams are flying blind on the part of the funnel that costs them the most money. FullStory is the layer that surfaces what users actually do on your product or site, before they tell you about it in a survey and after they've already given up.

What FullStory Does

FullStory captures every click, scroll, and interaction across your web and mobile properties, then makes that data searchable, quantifiable, and routable to the rest of your stack. The platform sits between raw session data and the teams that need to act on it.

  • Session Replay: pixel-perfect playback of real user sessions, with auto-redaction of sensitive fields so privacy and compliance teams stay calm.
  • Frustration Signals: automatic detection of rage clicks, dead clicks, error clicks, and form abandons. The signals are first-class events you can filter, alert, and segment on.
  • Funnels and Conversion Analysis: define multi-step journeys, see drop-off rates per step, and jump straight from a drop-off cohort into the matching replays.
  • Heatmaps and Page Insights: click, move, and scroll heatmaps overlaid on your live pages, so you can see what gets attention and what gets ignored.
  • Mobile Analytics: native iOS and Android replay plus event capture, so app teams get parity with web.
  • Data Direct: raw event export to Google BigQuery so analytics teams can join FullStory data with the rest of the warehouse.
  • Guides and Surveys: in-product prompts that trigger on the same behaviour signals that drive replay, so qualitative feedback lines up with what you just watched happen.

FullStory's AI: StoryAI

StoryAI is the layer that turns hours of replays into a short read. It summarises individual sessions in plain English, surfaces anomalies in user behaviour without anyone asking, and answers natural-language questions about what's happening across your product. Product managers stop watching 40 replays to find a pattern and start reading one paragraph that names it.

Automations We Build with FullStory

FullStory is most valuable when its signals leave the FullStory UI. The default behaviour is that product looks at it once a week. The build we run pushes the right signal to the right team within minutes of it happening.

  • Rage-click alerts to a product Slack channel with the replay link, the affected element, and the page URL. The team sees it before the bug ticket gets filed.
  • Checkout abandon recovery: when a user drops at payment, we trigger a tailored Klaviyo or Customer.io email with the exact step they failed on and a one-click return link.
  • CRM session enrichment: every Salesforce or HubSpot account gets the most recent product behaviour summary written to a custom field, so AEs and CSMs open the record and already know what's going on.
  • Support replay attach: when a Zendesk or Intercom ticket comes in, we match the user, find the last session, and attach the replay URL to the ticket automatically.
  • Warehouse joins for revenue attribution: FullStory event data flows into BigQuery, joins with Stripe or order data, and powers a Looker or Metabase view that ties UX friction to lost revenue per cohort.
  • Weekly product brief: an AI summary of the biggest behaviour shifts, frustration spikes, and new failure modes, delivered Monday morning to the head of product as a single email.

Why Teams Choose FullStory

  • Auto-capture means no event tagging marathon. The tag goes on the site and the data flows. Teams stop scoping eight-week analytics projects to answer simple questions.
  • Quant and qual in the same tool. You can count how many users hit a problem and watch one of them hit it, without leaving the UI.
  • Privacy controls that pass compliance review. Field-level redaction, IP exclusions, and data residency options that satisfy legal without crippling the data.
  • Built for scale. Mid-market SaaS and large DTC brands run it on millions of monthly sessions without slowing pages down. Sampling is configurable, not forced.

FullStory integrates with Salesforce, Segment, Tealium, Fivetran, Google BigQuery, Intercom, Optimizely, Adobe Experience Cloud, Qualtrics, and Gainsight out of the box, with a documented API and webhooks for everything else. Pricing is custom and quote-based across the Business, Advanced, and Enterprise tiers, with a free plan that covers 30,000 monthly sessions. That's the layer. The build we do is wiring it into the workflows your team already runs, so the signals show up where decisions get made.

Use cases

Rage-Click and Dead-Click Triage

We pipe FullStory's frustration signals into a triage channel in Slack. When a user rage-clicks a broken element three times, the product and engineering leads see the exact session replay in under a minute, not the next standup.

Funnel Drop-Off Root Cause

When checkout conversion drops, we tie the funnel step in FullStory to the actual replays from that cohort. Product gets a ranked list of what went wrong, not a chart that just shows the dip.

Customer Health Signals for CS

We push behaviour patterns (dead clicks, error events, repeated failed actions) into the CRM as health-score inputs. Account managers get a heads-up on accounts trending toward churn before the renewal call.

Support Ticket Enrichment

Every support ticket gets the linked session replay attached automatically. Reps stop asking customers to reproduce the issue and start solving it. Average handle time drops, CSAT moves up.

Product Decision Loop with PostHog or Mixpanel

FullStory tells you why users behave a certain way. Mixpanel or PostHog tells you how many. We sync both so product teams have a single view: quant numbers next to the qualitative replays that explain them.

Industries we automate this for

Ready to automate FullStory?

Tell us what you need and we'll show you exactly how we'd connect FullStory to the rest of your stack.

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