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Enterprise Layer Intelligence
Categories/Data Analytics/Pendo
Pendo

Pendo

Founded by Todd Olson in 2013

Track user interactions, deliver in-app walkthroughs, and gather feedback inside digital products

Pricing model

Demo, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Pendo to track how people interact with your web and mobile applications, collect direct user feedback, and guide users with interactive walkthroughs. The service records user journeys, session replays, and clicks without requiring custom tracking code for every event. Teams can build targeted in-app messages to announce features, onboard new signups, and assist struggling users. It also analyzes AI agent interactions and connects product data to external tools through Model Context Protocol, giving teams clear visibility into digital product adoption.

What Pendo does

Create in-app onboarding walkthroughs without developer supportTrack user clicks, paths, and retention across web appsWatch session replays to diagnose user drop-off pointsCollect Net Promoter Score and qualitative feedback in-appSegment user cohorts based on behavior and account attributesAnalyze AI agent conversations and failure pointsConnect product usage metrics to external AI tools via MCPIn-app guides and walkthroughs created without writing codeRetroactive product analytics that capture clicks and page views automaticallySession replay tools to watch user behavior and spot frustration pointsIn-app sentiment surveys and customer feedback collectionAnalytics specifically designed for AI agents and chat interactionsModel Context Protocol integration to feed usage data into AI toolsUser journey mapping across multiple applications and portfolios

Pricing breakdown

Pricing model: Book a demo

View full pricing page ↗

Frequently asked

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Pendo, product analytics, in-app guides, user onboarding, session replay, user feedback, feature adoption, sentiment analysis, product management, digital adoption, agent analytics, user journey tracking, NPS surveys, product context, MCP server