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 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.
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Outputs are complex, disconnected, outdated, and unactionable
解決策
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
マーケティング
Lead qualification
Lead nurturing
PQL scoring
収益
Opportunity scoring
Account prioritization
カスタマーサクセス
Health scoring
Churn detection
アップセル
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.
よくある質問
A predictive model uses AI and machine learning to forecast business outcomes — like churn or expansion. It analyzes product usage patterns and business data to surface risks and opportunities, helping teams act before it’s too late.
Pendo Predict is built on 4+ years of applied statistics, ML modeling, and GenAI. It acts like a combination of an AI data analyst and data scientist: it combines data from many sources (Pendo usage data, CRM, data warehouse...) and gets to work to label, clean, normalize, and optimize your data for predictive modeling, ensuring only the relevant signals are used. You define your business logic, for example what churn looks like for your organization, and Pendo Predict is able to generate a custom AI model for your organization, which will be trained on your historical data, and constantly learn from new data to improve accuracy.
Most organizations go the route of building their own predictive models in-house with their data teams. This approach requires significant amount of data science resources to build and maintain, unlike Pendo Predict which is self-serve. Pendo’s ability to coach your teams directly inside the CRM with embedded guides also enables a unique combination of analysis and action, so you can prioritize early, decisive intervention.
Yes. Core use cases include churn prediction and upsell detection, but Predict can also support other departments, for example Sales (opportunity scoring, account prioritization) and Marketing (lead qualification, PQL scoring)
No. Predict is designed for business teams. It’s self-serve, letting RevOps, CS, and Sales Ops leaders build and deploy AI models in days for churn and other use cases.
The more data you have, the more accurate the predictions will be, as the models are constantly re-trained on your data, meaning accuracy improves over time. By leveraging real-time product usage data, Predict delivers highly explainable, up-to-date predictions with accuracy con
Yes. Predict supports 20+ out-of-the-box integrations with CRM, data warehouses and marketing automation tools. This includes leading platforms like Salesforce, Hubspot, Snowflake, and Amazon Redshift, Google Big Query.
No. Predict focuses on product usage and business context. Personally Identifiable Information (PII) is not processed.
