Your snapshot
Fullstory's score and Product Analytics & Experimentation position
Product analytics with receipts. Build segments, compute metrics, and analyze conversions from your Fullstory behavioral data. Then pull the real sessions to back it up.
Description
Ask your product data anything, and get answers you can verify. Fullstory MCP connects Claude to your product's behavioral data. Ask how many users adopted a feature, where checkout is leaking, or whether yesterday's release broke something, and Claude builds the segment, computes the metric, and explains the result with a link back to Fullstory. Analytics connectors can give you numbers. Fullstory shows you what happened. Every metric unpacks into real session replay, so "conversion dropped 12%" becomes "the coupon field errors for logged-out users." And because Fullstory autocaptures clicks, page views, errors, and frustration signals, many questions need no instrumentation at all. Ask about rage clicks on pricing or errors in checkout without shipping a single event. What Claude can do: (1) Build and save segments and metrics. Describe the users or behavior you care about in your own words; Claude creates the segment or metric in Fullstory where your whole team can reuse it. (2) Compute on demand. Counts, rates, trends, and breakdowns by device, browser, geography, or user property, over any time window. (3) Speak your product's language. Claude discovers your pages, named elements, and defined events, so questions map to your real product vocabulary instead of guessed selectors. (4) Analyze conversions. Read your saved funnels and measure where users drop and why. (5) Back every number with sessions. Retrieve the sessions and events behind any metric, including frustration signals like rage clicks and dead clicks. (6) Read sessions at scale. Ask Claude to review dozens of sessions behind a drop-off or an alert and report the patterns, including failures that never reached your error tracker. Teams use it to let PMs, support, and engineers self-serve answers that used to queue behind an analyst, and to settle "why did this number move?" with evidence instead of theories.
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Claude Discoverability Score
Live · refreshed daily. Last refreshed#1of 31competitors
Shown to buyers in 69.3% of contested Runs.
One core score. Three important factors to discoverability.
Fullstory organic discovery report
See how Fullstory appears in Product Analytics & Experimentation, where it ranks, and how it compares with the wider Claude Connector ecosystem.
Your snapshot
Fullstory's score and Product Analytics & Experimentation position
Industry report
State of Agent Discovery
30-day industry report
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
As of 2026-09-28, Fullstory competes with Adobe Customer Journey Analytics, Omni Analytics, Mixpanel, Amplitude, Pendo, Polar Analytics, PostHog, Supermetrics Marketing Analytics, Contentsquare, Wingify, Savri, ABConvert, Adzviser Adobe Analytics, Brizz, Chartsy, DrTalks, Evarist, Ezoic Analytics, Flowsery - web analytics and session insights, GrowthBook MCP, Hardal, Hitsteps Web Analytics, Intelligems, Noibu, pagent.ai, Parse.ly, Shogun, social.plus Agentry, Varify MCP, Webeyez in Claude Product Analytics & Experimentation, ranked by public Discoverability Score.
As of 2026-09-28, Fullstory ranks #1 of 31 in Claude Product Analytics & Experimentation with a Discoverability Score of 69/100 (Competitive).
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.