Customer Churn Prevention

Your customers leave you because of you!  sizin yüzünüzden terk ediyor desek!

Lots of companies recognize the power of a customer-centric operational model. In good faith, they launch projects to mobilize data and improve customer experience across multiple touchpoints.


However, attempts to improve the silo customer experience rarely produce good results. While a particular department can meet all of its base KPIs, overall metrics may show little signs of improvement. This is because customers sense their interactions with businesses holistically. If your billing department is constantly making mistakes, it doesn't matter if your sales experience is perfect. 

Trying to win back customers after they leave you will cost much more than the effort you put into retaining them. Every customer has different expectations, and it is critical to comprehend what these expectations are based on the clues from data and design an experience accordingly. 

After realizing all these, it is necessary to notice that customers are starting to diverge before they churn and to plan artificial intelligence-supported actions to win back them. These actions are effective practices that will differ from customer to customer; but alone is not enough. It is necessary to solve the root causes that cause this divergence to solve the problem fundamentally.

Accept First!

Would you really like to reduce customer churn?


You are late to catch the changing behavior of the customer.

Predict what the customer's next action will be.

  • Process all your customer data (online and offline) on a single platform. 

  • When the data is ready, you can proceed to the prediction phase. 

  • The fact that your forecasting models are easy to install, flexible and automatically updated increases your analytical success and reduces your operational burden.

What would you do if we told you which customers you will lose next month?

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