Predict churn and prioritize upsell with action-oriented AI-powered predictions
Turn your data goldmine into a growth engine with AI-powered predictions. Pendo Predict helps you reduce churn, and double down on upsell revenue. All without data science resources.
Pendo Predict
Predict churn and prioritize upsell with AI-powered predictions
Turn your data goldmine into a revenue growth engine with AI-powered predictions. Pendo Predict helps you reduce churn, and double down on upsell revenue. All without data science resources.
The Challenge
Still guessing who’s at risk and who’s ready to expand?
You’ve tried every play in the book to grow existing customers and drive upsell. Yet GRR and NRR aren’t budging. Why?
Data is siloed, and 80% of effort is wasted on prepping and cleaning
Models are often too simple, using only a fraction of your data
It’s slow and costly to build and maintain
Outputs are complex, disconnected, outdated, and unactionable
Die Lösung
What if you could get accurate insights AND instant action by using predictive AI on top of user behavior data?
Pendo Predict gives RevOps, Sales, Marketing, and CS teams clear, reliable churn predictions—delivered straight into their workflows—with the context and coaching to act immediately. Early enough so they can change the outcome.
Accurate growth predictions, without a data science team
It’s easy to deploy, but delivers the power of advanced data science. Build predictive AI models in just days, not months, from the user intelligence and business data you already have. All without burdening data science or engineering teams.
Act faster for greater impact
Identify risk and upsell opportunities before it’s too late. Know exactly what accounts to focus on and the reasons why.
Guide teams towards the next best action
Give teams access to predictions in the GTM tools and workflows they already use – enriched with your tailored in-app coaching.
Impact
How teams drive new revenue opportunities with Pendo Predict
Marketing
Lead qualification
Lead nurturing
PQL scoring
Revenue
Opportunity scoring
Account prioritization
Kundenerfolg
Health scoring
Churn detection
Upsell
HOW IT WORKS
Pendo Predict makes your churn predictions repeatable, scalable, and impactful
Connect your data sources to enrich your Pendo data with data from your CRM and other BI tools
Build predictive AI models in a few clicks and start generating predictions for your use cases (churn, upsell, lead qualification and more)
Activate and automate the prediction in your GTM workflows for maximum adoption (in-app guides, emails, Slack alerts, Salesforce tasks). To take action to the next level, you can layer in Pendo Guides to coach your teams in real time towards the next best action. This is what makes Pendo Predict unique.
Models continuously retrain and improve accuracy, so your insights stay fresh
The Challenge
Pendo Predict makes your predictions repeatable, scalable, and impactful
Connect usage data in Pendo with CRM and BI tools Salesforce, HubSpot, Snowflake, and more)
Comparison Guide
How does Pendo Predict stack up to traditional approaches?
Pendo Predict
Traditional scoring
Manual data science
Built on product usage data
Limited
Easy to deploy
Continuous retraining
Integrated into workflows (Salesforce, Slack, Pendo Guides)
Partial
Time to value
Days
Months
9+ Months
Data science required
Accuracy and transparency
Clear reasons
Generic
Complex and opaque
Pendo Predict
Traditional scoring
Manual data science
Built on product usage data
Limited
Easy to deploy
Continuous retraining
Integrated into workflows (Salesforce, Slack, Pendo Guides)
Partial
Time to value
Days
Months
9+ Months
Data science required
Accuracy and transparency
Clear reasons
Generic
Complex and opaque
Pendo on Pendo
How we use Pendo Predict to scale success and revenue
Guessing game over. Start winning again.
Lose unreliable generic health scores. Stop wasting months building models that go nowhere. Always know who’s likely to churn, ready to buy, or primed to expand—so you can act faster, with confidence.
Häufig gestellte Fragen (FAQ)
