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Churned

Churned is an Amsterdam based tech startup, founded in 2019 by a professor in Data science and two brothers. Fast growing and currently with 19 employees. We created a software product that uses AI to predict customer churn for companies with a subscription model. By integrating data into our AI prediction models, we help our clients answering the following four…


Churned is an Amsterdam based tech startup, founded in 2019 by a professor in Data science and two brothers. Fast growing and currently with 19 employees. We created a software product that uses AI to predict customer churn for companies with a subscription model. By integrating data into our AI prediction models, we help our clients answering the following four questions:
- Which customers have a high probability of churn?
- When do they churn?
- Why do they churn?
- How can we keep them?

IT
Amsterdam, NL
Active in 5 countries
19 employees
80% men - 20% women
Average age is 27 years

Churned

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Churned is an Amsterdam based tech startup, founded in 2019 by a professor in Data science and two brothers. Fast growing and currently with 19 employees. We created a software product that uses AI to predict customer churn for companies with a subscription model. By integrating data into our AI prediction models, we help our clients answering the following four…


Churned is an Amsterdam based tech startup, founded in 2019 by a professor in Data science and two brothers. Fast growing and currently with 19 employees. We created a software product that uses AI to predict customer churn for companies with a subscription model. By integrating data into our AI prediction models, we help our clients answering the following four questions:
- Which customers have a high probability of churn?
- When do they churn?
- Why do they churn?
- How can we keep them?

IT
Amsterdam, NL
Active in 5 countries
19 employees
80% men - 20% women
Average age is 27 years

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Interesting to know

Churn voorspellen en voorkomen voor bedrijven in de subscription economy aan de hand van data.


Churn voorspellen en voorkomen voor bedrijven in de subscription economy aan de hand van data.