Your agents are answering questions. But are they solving problems? Pendo Agent Analytics is the first solution to help you:
Link AI prompts to user sentiment and outcomes like retention, conversion, or churn.
See and analyze what users ask agents, grouped by use case, segment, or role.
Spot where agents fail, remove user frustrations, and scale use cases that work.
Are your AI agents speeding up tasks? Delighting users? Actually solving user requests? Agent Analytics analyzes conversations and prompts to help you find out, connected to everything else users do in your app.
Quantify AI's impact
Connect agent usage to retention, task completion, churn, and support tickets.
Identify user friction
Spot issues and user rage within your agent. Then, get suggestions on how to fix it.
Maximize adoption
See who uses your agent, how often, and for what, to prioritize needs and scale what works.
Some users prefer your agent. Some prefer your traditional UI. No matter what they choose, Pendo is the infrastructure that bridges your entire portfolio—apps and agents, bought and built—to successful outcomes.
See what users ask agents and when issues arise, segmented by use case and user type.
See where agents struggle and users get frustrated with automatic rage prompting.
Know exactly who's using your agent, spot the visitors who aren't, and get daily updates in Slack.
Prove your agent keeps users around, or catch the warning signs it doesn’t.
Find the gaps between what users want and what your agent delivers.
Understand the prompts that work, replay the ones that don’t, and fix what's broken.
Monitor agent usage by account to spot adoption gaps before they widen.
Compare how long users take to complete tasks for agentic vs. traditional workflows.
Automatically flag agent failures, and watch replays when things go wrong.
“AgentAnalyticsopensupanentirelynewlevelofinsightintocustomerneeds.Whatthey'restrugglingwith,whatthey'reaskingabout,withouthavingtoaskthemdirectly.Thisistheholygrailofvoiceofthecustomer.”
Christopher Penney
Product @ OSAIC
Measure and
scale AI agents.
Agents are changing how you use software. Understand how yours work, so you can improve adoption and get the most from your AI investments.
Watch this 2-minute demo to see Agent Analytics in action.
Your data is safe with us. Pendo meets the highest standards in data protection, with certifications and compliance across SOC II, ISO 27001, CCPA, GDPR, and enterprise-grade security measures.
See how you can tackle big AI agent challenges, improve adoption, and measure ROI.
Frequently asked questions
Yes. Pendo Agent Analytics monitors both agents you build and third-party agents your employees use—including ChatGPT, Claude, GitHub Copilot, and other LLM tools. This unified visibility ensures comprehensive governance, compliance monitoring, and ROI tracking across your entire AI ecosystem, whether agents are customer-facing or employee-facing.
Traditional product analytics track clicks and pageviews. Pendo Agent Analytics tracks conversational AI interactions, prompt effectiveness, use case patterns, and AI-specific behavioral signals. The real power is that Pendo combines both in one platform—you can see how agent usage impacts broader product adoption, retention, and revenue, not just isolated agent metrics.
A free version of Pendo Agent Analytics is coming soon. This will enable early-stage teams and startups to validate agent performance without upfront investment, with upgrade paths as your needs scale. Contact us to join the waitlist and get early access.
Yes! Pendo can generally be installed in an hour or less.
Pendo is the only platform that unifies product and agent analytics, user feedback, in-app guidance, and AI-powered predictions into a single source of truth for product experience. While other tools force you to stitch together multiple vendors—one for analytics, another for guides, a third for roadmapping—Pendo closes the loop: understand user behavior, capture sentiment, prioritize what to build, and drive adoption with targeted experiences, all from one platform.
This integrated approach means faster time-to-insight, better cross-functional alignment, and the ability to act on data without switching contexts. Organizations see faster ROI compared to alternatives, with implementations measured in weeks rather than quarters—whether you're a 50-person startup or a Fortune 500 enterprise with thousands of applications.
The most impactful outcomes depend on your strategic priorities:
Accelerate product-led growth: Companies using Pendo improve trial-to-paid conversion rates by 25-40% by guiding users to activation moments faster. Reduce time-to-value for new customers, increase feature adoption, and turn your product into your best sales channel.
Reduce churn and expand revenue: Identify at-risk accounts 3-6 months before renewal using Pendo Predict's AI models, then intervene with targeted guidance and proactive outreach. Customers also reduce support ticket volumes by 15% on average while discovering upsell opportunities hidden in usage patterns.
Improve operational efficiency: For internal applications, drive faster employee onboarding, increase utilization of enterprise tools you've already purchased, and reduce training costs by embedding guidance directly in your applications.
The combination of analytics, guidance, and AI prediction means you're not just measuring problems—you're systematically fixing them while proving ROI to stakeholders.
Pendo grows with you. Start by understanding adoption and guiding users in a single product, then expand to track engagement across your entire portfolio—whether that's multiple customer-facing SaaS products, internal applications like Salesforce, or conversational AI agents.
Organizations use Pendo to manage complex multi-product ecosystems: track cross-product journeys, identify which applications and agents drive the most value, optimize your SaaS spending by measuring actual utilization against licenses, and create consistent experiences across disparate systems. You can deploy Pendo on web, mobile, and AI applications with the same unified analytics and guidance capabilities.
The platform supports role-based access, SSO/SAML, data governance controls, and integration with your existing tech stack (CRM, data warehouse, support systems)—so it works for both a single product team and an enterprise IT organization managing dozens of applications.