FullStory vs Pendo

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-11-06
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FullStory or Pendo: which should you choose?

DimensionFullStoryPendo
PricingCustom pricingFree plan · paid plans on request
Best forMid-to-large product teams needing session replay plus funnels to find and fix drop-off, Engineering teams debugging errors with console telemetry and rage-click evidenceProduct teams that want analytics, in-app guidance, and feedback in one platform instead of three vendors, Teams deploying AI agents that need adoption, task completion, and failure-point metrics
Standout featuresSession Replay with tabbed browsing to compare sessions side by side · AI-powered Fullcapture records every interaction with private data excluded by default · StoryAI answers behavior questions in plain language and generates AI session summariesProduct analytics: event tracking, funnels, retention, and feature usage · In-app guides: walkthroughs, tooltips, and banners without engineering tickets · Session replay to watch real sessions and find friction points
Viability score82/10087/100
APIYesYes

FullStory is the stronger pick for mid-to-large product teams needing session replay plus funnels to find and fix drop-off; Pendo fits better for product teams that want analytics, in-app guidance, and feedback in one platform instead of three vendors.

Built from live tool data, last verified 2026-11-06.

FullStory
FullStory

Fullstory captures every click and scroll in your web and mobile product, then turns it into AI-readable behavioral data.

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Pendo
Pendo

Product analytics with in-app guides, session replay, and a context layer for AI agents

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Pricing
Contact Sales
Freemium
Plans
BusinessCustom
AdvancedCustom
EnterpriseCustom
FreeFree
Novus (Free Beta)Free
BaseCustom
CoreCustom
UltimateCustom
Predict (add-on)Custom
Agent Analytics (add-on)Free
Popularity
3.5k views
3.1k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebMobileAPI
WebMobileAPI
Categories
📉 Product Analytics & Experimentation
📉 Product Analytics & Experimentation
FeaturesFullStoryPendo
Session Replay with tabbed browsing to compare sessions side by side
AI-powered Fullcapture records every interaction with private data excluded by default
StoryAI answers behavior questions in plain language and generates AI session summaries
Fullstory MCP lets AI agents detect friction, flag anomalies, monitor releases, and review sessions (June 2026)
Click maps, scroll maps, conversion maps, and heatmaps
Funnels and Conversion Analysis to locate drop-off and quantify revenue impact
Page Flow Analysis and Journey Maps across touchpoints
User Segmentation with Segment Health Tables and Segment Alerts
Sentiment Signals and rage click detection
User Trends, Event Sequence Metrics, and Metric Insights
Retention Analysis, Watched Elements, and customizable dashboards
Guides and Surveys for in-product tours, NPS, and contextual feedback
Co-Browsing gives support agents live session context during a ticket
Fullstory Anywhere delivers behavioral data to warehouses and activates real-time signals
Fullstory Workforce maps employee tool usage and cross-app workflows
Product analytics: event tracking, funnels, retention, and feature usage
In-app guides: walkthroughs, tooltips, and banners without engineering tickets
Session replay to watch real sessions and find friction points
Sentiment surveys: NPS, PMF, and CSAT collection
Listen: open-ended feedback collection with theme clustering
Journey orchestration triggering guides and notifications against goals
Leo: natural-language assistant included on every plan
Retroactive Analytics covering full data history from install day
Pendo for Agents: product context layer for AI agents (announced 22 Sep 2026)
Agent Toolkit: supply behavioral product context to third-party AI agents
Agent Analytics: adoption, task completion, and failure-point tracking for AI agents
MCP server and Headless Pendo for querying from Claude, ChatGPT, Fin, an IDE, or any MCP client
Novus: AI product agent with GitHub auto-instrumentation and Slack recommendations
Predict: churn prediction models connected to CRM and BI tools
Data Sync pushing Pendo data into CRM and BI tools
IntegrationsFullStoryPendo
Slack
Jira
Segment
Google Analytics
Amplitude
Snowflake
BigQuery
Amazon Redshift
Databricks
Zendesk
Salesforce
Intercom
Stripe
HubSpot
GitHub
Claude
ChatGPT
Cursor

Frequently Asked Questions

Which is better, FullStory or Pendo?

The best choice between FullStory and Pendo depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between FullStory and Pendo?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of FullStory or Pendo?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

What else are FullStory and Pendo compared with?

Where can you read more about FullStory and Pendo?

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Analysis generated by our model pipeline from live data: