Pendo
AI-powered analytics and adoption platform for product teams that connects apps and agents to user success and business outcomes.
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Product Overview
What is Pendo?
Pendo is an enterprise-grade product experience platform that helps companies understand user behavior across their software and AI agents, identify friction points, and drive adoption. The platform captures 35 trillion events from over 1 billion users across 50,000+ agents and apps, providing teams with instant answers to product questions without manual report building. Pendo combines product analytics, agent analytics, in-app guides, session replay, feedback collection, and AI-powered predictions to close the gap between AI spend and AI adoption.
Key Features
Product Analytics
Auto-captures user interactions without manual event tagging, enabling teams to track feature adoption, optimize user journeys, and understand what drives retention with retroactive analytics from day one.
Agent Analytics
Measure AI agent performance by tracking usage patterns, success rates, and friction points, revealing what users ask, what they do before/after interactions, and which conversations drive business outcomes.
In-App Guides
Create and deploy contextual help, product tours, and announcements directly within your application using AI prompts—no design or coding required—to guide users to value instantly.
Session Replay
Watch video playbooks of user actions capturing clicks, cursor movements, and scrolling to see experiences through users' eyes and identify dead clicks, frustration points, and errors.
Pendo Predict
AI-powered churn prediction that identifies which accounts will churn before they do, protecting revenue by flagging opportunities and patterns automatically.
Pendo MCP Server
Connect Pendo data to Claude, Cursor, ChatGPT, and other AI tools to access live product and customer data in natural language from wherever you work.
Use Cases
- Product Team Adoption : Product managers know what users love, where they struggle, and what they ignore, then guide them to value with in-app help and iterate based on observed behavior changes.
- AI Agent Performance : Teams building conversational AI agents measure whether they help users do their job, move pipeline, and deliver value—critical feedback for building and improving agents fast.
- Customer Onboarding : Customer success teams tailor onboarding motions, reduce friction, and create immersive experiences that increase free-to-paid conversions and drive bookings through in-app education.
- Employee Productivity : IT and operations teams track tool usage across internal software, spot where employees get stuck, measure software ROI, and deploy in-app guides to reduce support tickets without classroom training.
- Revenue Growth : Sales teams identify accounts that dropped off, understand what drives retention for enterprise segments, and increase sales opportunities by directing users to key features with guides.
FAQs
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