Use case:
AI-based churn analytics & prediction at Nordisk Film+
Learn how churn analytics and prediction can be used to identify churn and retention behavior and increase overall lifetime value.
In 20 minutes, you learn from Frisbii Lead Data Scientist Erik Mathiesen-Dreyfus and Nordisk Film+ Customer Service Manager Pil Schlütter Gudbergsen:
- Why Nordisk Film+ decided to use Frisbii Revenue Insights for churn prediction
- How much churn can impact the bottom line
- How the Nordisk Film+ uses churn analytics to learn more about user behavior
- How churn prediction works
- How Frisbii Revenue Insights works
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Why it matters
Lower churn drives value
According to Nordisk Film+`s own data, an improvement of their churn rate by just 0,5% can already increase lifetime value by 30€ per person.
However, to decrease churn, a business doesn’t just need to know which customers churn and why. Knowing more about the customers who are loyal and have a high customer lifetime value (LTV) can simultaneously help to aim acquisition and up-sell campaings at similar segments.
Pil Schlütter Gudbergsen explains in the presentation, how Nordisk Film+ used Frisbii Revenue Insights to identify the right metrics.
The full revenue journey
How does Revenue Insights work?
Learn from Erik Mathiesen-Dreyfus, how Frisbii Revenue Insights works, which data can be used and what outcomes can be expected.
- The 6 data groups that the Revenue Insights model considers
- How high-level analysis provides strategic insights
- How customer-level predictions help with individual counter-measures
Our Speakers
Insights shaped by real product and revenue challenges.
Pil Schlütter Gudbergsen
Customer Service Manager, Nordisk Film+
Pil is Customer Service Manager at Nordisk Film Distribution and Product Owner for Frisbii. She is passionate about customer service and curious about how data can be transformed into better user experiences and stronger customer relationships.
Erik Arne Mathiesen-Dreyfus
Head of Data Science, Frisbii
Erik Arne Mathiesen-Dreyfus is responsible for the Data Science division at Frisbii, where he is driving the development of a new generation of AIpowered solutions for revenue management. Previously, he founded Infer, a company specializing in applied AI, which was later acquired by Frisbii. Other stages of his career with a strong data science focus include roles at companies such as Attest and Streetbees. Erik holds a PhD in Mathematics and combines deep technical expertise in machine learning and modeling with a strong focus on business impact.
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