“The AI-powered analytics and adoption platform for builders”
Pendo connects your entire portfolio—apps and agents, bought and built—to user success and business outcomes.
Pendo is an all-in-one platform that helps product, revenue, and IT teams understand how users interact with software (both apps and AI agents), guide them to value with in-app experiences, and predict churn—without requiring engineering resources. It leverages the world's largest product data set (35 trillion events, 1B+ users) to deliver AI-powered insights, retroactive analytics, and automated adoption actions across the entire digital portfolio.
Target Audience
SMB to Fortune 500 Enterprise; free tier for individuals and small teams up to 500 MAUs; paid tiers scale to large enterprises with 10,000+ MAUs. Product Managers, Product Leaders (CPOs), Revenue Operations (RevOps), Customer Success teams, IT and Digital Transformation leaders, and Marketing teams at software companies or enterprises deploying internal and external applications. Product analytics and user adoption—understanding how users behave in apps and AI agents, onboarding users with in-app guidance, collecting feedback, predicting churn, and driving feature adoption without engineering involvement
Features (88)
Product Analytics
14 features
Retroactive Analytics (historical data from day 1, no event tagging needed)Feature Adoption TrackingAI-Powered Insights and Recommended Next Steps
In-App Walkthroughs and TooltipsEmbedded Guides (no-code UI modification)AI Guide Builder — Leo (create guides from prompts)
Session Replay
8 features
Unlimited Session Replays (no recording caps)Integrated with Analytics, NPS, and Guides
Feedback and Voice of Customer (Pendo Listen)
9 features
Centralized Feedback Collection (in-app, email, CRM, support tools)AI-Powered Feedback Triage and Summarization
Sentiment Surveys
8 features
In-App NPS Surveys
Integrations (50)
SalesforceHubSpotZendeskJiraSlackIntercomMarketoOktaSegmentSnowflakeAmazon RedshiftGoogle BigQueryAmazon S3Microsoft AzureGoogle Cloud StorageTableauLookerDomoFigmaConfluence+30 more
Pricing
Usage-based (Monthly Active Users / MAUs) combined with plan tier; all paid plans require custom pricing negotiated with sales. Value metric: Monthly Active Users (MAUs) — pricing scales with the number of unique users active in tracked apps over 30 days; number of applications does not affect pricing
Free
0
Up to 500 Monthly Active Users (MAUs)
Product Analytics with retroactive data
In-app Guides
Net Promoter Score (NPS) surveys — Pendo branded
Base
Custom (estimated ~$8,000–$30,000+ annually based on community reports)
Custom MAU volume
Full Product Analytics
Full In-app Guides
1 integration included
Core
Custom
Custom MAU volume
Full Product Analytics
Full In-app Guides
Session Replay included
Ultimate
Custom (estimated up to $142,476+ annually for enterprise)
Strong enterprise brand recognition with 14,000+ customers across 115 industries, including marquee logos such as Verizon, Salesforce, Okta, LabCorp, and Morgan Stanley
No-code/low-code implementation with retroactive data capture backdated to install date, enabling fast time-to-value without heavy engineering dependency
First-mover advantage in AI agent analytics, uniquely positioned to measure and optimize AI agent adoption as enterprises deploy agentic workflows
G2 Leader in Digital Adoption Platform (Fall 2025) with 1,762+ reviews; broad recognition from Forbes Cloud 100 (6 years), Deloitte Fast 500 (5 years), and Gartner Peer Insights
Processing 20B+ daily events across 1B+ monthly users, providing a deep behavioral data moat and industry benchmarking capabilities
Weaknesses (5)
Opaque, expensive pricing averaging ~$47K/year with enterprise contracts up to $140K+; modular add-on model means session replay, multi-app support, and advanced analytics all cost extra, surprising buyers
Steep learning curve and long implementation timelines of 6–12 weeks requiring significant engineering and analyst resources, limiting accessibility for smaller or less technical teams
Data processing is batch-based with hourly refresh rather than real-time, a competitive disadvantage for teams running rapid experiments or needing immediate behavioral feedback
Analytics-first heritage means in-app guidance and onboarding tools are less refined than purpose-built competitors like Appcues or Chameleon
Feature overlap with existing analytics stacks such as Amplitude and Mixpanel creates redundancy concerns and budget friction for mid-market buyers
Social Proof
Customers (16)
VerizonMorgan StanleyLabCorpOpenTableOktaSalesforceZendeskRE/MAXADPCardinal HealthBright HorizonsCox AutomotiveAct-OnCallRailOnapsis+1 more
Case Studies (6)
LabCorp
99% reduction in support ticket backlog by identifying and fixing onboarding friction points using Pendo Analytics
Cox Automotive
Increased product activity by 39%; product and engineering teams can now access data to answer questions within 15 minutes during live meetings
Act-On Software
Higher customer engagement led to increased event registration; Pendo data became central to product development and executive board presentations
CallRail
Driving upgrades and cross-sells with a single in-app click using targeted in-app guides
Market Gap Opportunity
Pendo's biggest competitive opportunity lies in AI agent analytics — no major competitor has yet built a purpose-built analytics layer for AI agent adoption and ROI measurement. As enterprises rapidly deploy AI agents and LLM-powered workflows, Pendo's Agent Analytics product positions it to define an entirely new category, potentially expanding its TAM beyond traditional SaaS product teams into AI operations and enterprise IT. Simultaneously, Pendo faces a strategic gap in the SMB and mid-market segment where pricing opacity and implementation complexity cede ground to faster, cheaper alternatives like UserGuiding, Appcues, and Userpilot, representing both a retention risk and an acquisition opportunity if pricing is restructured.