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FullStory

FullStory is a digital experience analytics platform that captures sessions events and technical signals then applies AI to surface friction patterns journeys and opportunities across web and apps.
data
Category
Beginner
Difficulty
Active
Status
Web App
Type

What is FullStory?

Discover how FullStory can enhance your workflow

FullStory records user sessions and aggregates events network data and errors so product and growth teams can see how people actually experience sites and apps. With StoryAI teams ask natural language questions and get answers backed by behavioral data while funnels heat maps and segment analyses reveal drop offs rage clicks and dead links. Dev tools connect console logs to sessions and product analytics track features adoption and performance. The platform offers a free plan with a monthly session cap and sales quoted paid plans that scale retention features seats and integrations. Security includes data masking controls SSO and audit logs and governance aligns with enterprise procurement. The strength is a unified behavioral dataset with AI assisted discovery that helps prioritize fixes reduce support tickets and improve conversion and retention by tying insights to measurable KPIs and experiments.

Key Capabilities

What makes FullStory powerful

Professional

Analyze

Implementation Level Collect user interactions network calls and errors with privacy controls to build a reliable behavioral dataset for analysis and support.

Intermediate

Debug

Implementation Level Ask questions in natural language and review funnels and segments to quantify friction then align fixes with projected impact.

Intermediate

Activate

Implementation Level Jump from errors to the exact session reproduction and console logs to reduce back and forth and accelerate reliable bug fixes.

Intermediate

Is there really a free plan and what does it include?

Implementation Level Send behavioral data to warehouses A B tools and CRMs to join with revenue metrics and run experiments that close the loop.

Key Features

What makes FullStory stand out

  • Session replay with privacy controls that links UX to evidence so designers engineers and support align on what users actually encountered
  • StoryAI natural language analysis that answers questions from behavioral data which speeds prioritization of issues and opportunities
  • Funnels segments and heat maps that quantify friction drop offs and attention so teams decide which journey steps to fix first
  • Dev tools and console logs aligned to sessions which shortens reproduction time and clarifies ownership across frontend backend and QA
  • Data export and integrations to warehouses and analytics so experimentation and BI can join behavioral signals with revenue outcomes
  • Governance features including masking SSO and audit logs so teams meet compliance while maintaining useful replay for debugging
  • Mobile and web coverage with SDKs so apps and responsive sites produce a consistent view across devices networks and regions
  • Free plan for evaluation that includes capped sessions and retention which lets teams validate fit before procurement and roll out

Use Cases

How FullStory can help you

  • SaaS product teams ecommerce and marketplaces financial services and media companies that need to see friction quantify impact and align design engineering and GTM on what to fix and why with measurable outcomes and governance

Perfect For

Behavioral data and StoryAI that reveal friction and opportunities across journeys with evidence not opinions

Plans & Pricing

Free / Custom pricing

Visit official site for current pricing

Quick Information

Category data
Pricing Model Free plan
Last Updated 3/19/2026

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Frequently Asked Questions

Yes the free plan includes a capped number of monthly sessions and limited retention which is enough to validate value before a paid rollout.
How are paid plans priced and purchased?
Paid plans are sales quoted and scale by sessions retention features and seats third party analyses estimate a wide price range by size and needs.
Can we mask sensitive data during capture?
Yes masking and privacy controls help hide PII while preserving enough context to debug and analyze issues safely and compliantly.
Does FullStory help non technical teams use data?
StoryAI and curated dashboards help PMs designers and support discover issues in plain language and share evidence for alignment.
How hard is implementation and maintenance?
SDKs and tags are straightforward and governance can be tuned during rollout engineering support is needed for events and data piping.
Will this replace product analytics tools entirely?
Many teams complement FullStory with event analytics and experimentation tools and use exports to keep datasets aligned across platforms.
Is mobile app coverage robust today?
SDKs support major mobile platforms with signals specific to app performance and gestures which complements web capture well.
How do we measure ROI convincingly?

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