Webinar:
From reactive to predictive: How to prevent churn and forecast revenue risk
Webinar Wednesday, April 29th , 2026 at 10-10.45 am
Most companies react to churn too late. In this webinar you will learn about how to:
- Understand the hidden revenue impact of churn
- Identify why most churn strategies fail
- Recognize early churn signals across the customer lifecycle
- Forecast churn and its impact on revenue
- Prevent churn with a structured, predictive approach
- Learn from a real-life customer use cases
Register now
What to expect
Want to learn more about churn forecasting and retaining revenue?
Churn has a negative impact on revenue and customer LTV, making timely action critical. Most companies do not fail at reducing churn because they lack data. They fail because they act too late.
Churn prediction enables you to identify risk early, take action at the right moment, and turn insights into measurable impact.
In this 45-minute webinar, you’ll learn how to retain revenue and putting churn prediction into practice and taking action before customers leave.
Real-life example
Learn from real-life use-cases
We will also share real-world insights from how our customers use their data to understand what drives retention and how they activate those insights across the customer lifecycle.
Whether you’re just starting out or already working with churn data, this session will show you how to move from reacting to proactively forecasting churn.
Our Speakers
Insights shaped by real product and revenue challenges.
Silke Hoersch
Chief Marketing Officer, Frisbii
As CMO at Frisbii, Silke leads the marketing team and strategy for a leading provider of subscription and recurring revenue management. With 20 years of experience in marketing, sales, and business development for SaaS solutions and digital products, she has a proven track record of delivering results and value across various markets and segments.
Erik Mathiesen-Dreyfus
Director of Data Science, Frisbii
Erik is a former quant and two-time founder with a PhD in mathematics. He’s led data science at fast-scaling startups like Streetbees and Attest, and now heads Frisbii’s AI strategy. At Frisbii, he helps our customers turn raw billing data into predictive, explainable insights - powering smarter pricing, churn prevention, and LTV growth.
Register now
Sign up and find out how predictive analytics can support your churn prediction and churn forecasting to act before it's too late.