Pendo Listen
Entwickeln, was wichtig ist. Überspringen, was nicht funktioniert.
Skalieren Sie Ihre Voice-of-Customer-Programme mit dem Feedback-Agent von Pendo
Watch this 2-minute demo to see Agent Analytics in action.
See users work across agents and apps.
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.
“AgentAnalyticsopensupanentirelynewlevelofinsightintocustomerneeds.Whatthey'restrugglingwith,whatthey'reaskingabout,withouthavingtoaskthemdirectly.Thisistheholygrailofvoiceofthecustomer.”
Christopher Penney
Product @ OSAIC
Measurement for every AI agent builder.
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.
Analyze conversations
See what users ask agents and when issues arise, segmented by use case and user type.
Detect user rage
See where agents struggle and users get frustrated with automatic rage prompting.
Grow visitors
Know exactly who's using your agent, spot the visitors who aren't, and get daily updates in Slack.
Boost retention
Prove your agent keeps users around, or catch the warning signs it doesn’t.
Spot unsupported requests
Find the gaps between what users want and what your agent delivers.
Increase user success
Understand the prompts that work, replay the ones that don’t, and fix what's broken.
Track account adoption
Monitor agent usage by account to spot adoption gaps before they widen.
Speed up workflows
Compare how long users take to complete tasks for agentic vs. traditional workflows.
Catch and report issues
Automatically flag agent failures, and watch replays when things go wrong.
One tool, every team.
You're closer to the answer than you think.
See how you can tackle big AI agent challenges, improve adoption, and measure ROI.
Take Agent Analytics for a spin.
Poke around the product in this interactive tour. Nobody's going to follow up with a sales call.
Sicherheit auf Unternehmensniveau. Keine Ausnahmen.
Sicherheit, Datenschutz und Vertrauen
Besuchen Sie das Trust Center ->
DSGVO-konform
SOC 2 Typ 2 zertifiziert
PCI DSS-konform
HIPAA-konform
Schauen Sie sich um.
Kein Druck. Nur Antworten.
Sehen Sie, wie Pendo für Ihre spezifischen Herausforderungen funktioniert, egal ob Sie die Produktakzeptanz messen, den ROI nachweisen oder KI messen.
Frequently
asked
questions.
Can Pendo track third-party AI agents my employees use?
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.
How does Pendo Agent Analytics differ from traditional product analytics tools?
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.
Is there a free version of Pendo Agent Analytics?
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.
Is Pendo easy to install?
Yes! Pendo can generally be installed in an hour or less.
What makes Pendo different from other product experience platforms?
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.
What business outcomes can we expect from Pendo?
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.
Do we need a data science team or developers to use Pendo effectively?
No. Pendo is designed for product, revenue, and IT teams to work independently—with powerful capabilities that can scale to meet enterprise data science and engineering needs when you have them.
Non-technical teams can create segments, build in-app guides, analyze user journeys, and deploy feedback surveys without writing code. Our AI guide builder and visual designer make it simple to launch experiences in minutes. At the same time, Pendo provides API access, data pipeline integrations, custom SQL queries, and advanced analytics for technical teams who want deeper control.
This "progressive disclosure" approach means your organization can get value immediately while growing sophistication over time. Product teams move fast without tickets to engineering, while IT and data teams have the security, governance, and integration capabilities they require.
How does Pendo scale from our first product to an entire digital portfolio?
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.
