Churn prediction with AI
We use data-based predictions and AI to help you retain your customers with precise strategies and increase their satisfaction.
Develop targeted strategies to retain customers
Losing customers is annoying. How can you prevent this?
The solution is called churn prediction: with AI-supported predictions, you can recognize signs of churn at an early stage and react to them in a targeted manner. This enables you to retain your customers in the long term by taking the right measures.
And the best thing about it is that you save valuable resources such as time and costs. For one thing, it is cheaper to retain existing customers than to acquire new ones. On the other hand, you can recognize which customers are worth investing in - and which are not.
We are a member of the
From the data to the customized product
From the data to the individual product
Would you like to establish churn prediction in your company? This is how it goes on:
Project Kick-Off
In the first workshop, we work together to gain an understanding of your use case and your business. We record your requirements and define project goals.
MVP
In the next step, we develop a minimum viable product (MVP). Through iterative processes, an AI system is created that serves as a solid foundation for future developments.
Further development
Individual extension
In this phase, we adapt to your needs. Our aim is to end up with a product that meets your wishes and requirements.
25 % less customer churn
25 % less customer churn
through precise predictions and churn prevention
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The challenge
Loss of sales due to an increased churn rate that cannot be reduced by traditional methods. This results in high costs for acquiring new customers.
Solution
Prediction of customer churn with AI-based model, use of decision trees and neural networks. Connection of data sources such as usage behavior, customer service interactions, contract information, demographic data.
Result
An AI-based churn prediction system reduces the churn rate and increases customer loyalty. The company can predict which customers are likely to churn and take preventative measures : customers are more satisfied and more loyal. Operational costs fall.
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25 % less migration
through precise predictions and churn prevention
Telecommunications
- Increased churn rate leads to loss of sales
- Traditional methods are not sufficient
- High costs for new customer acquisition due to customer churn
- Need to integrate and analyze extensive and diverse customer data
Azure, Power BI
- AI-based model for predicting customer churn
- Use of decision trees and neural networks to identify migration trends
- Use and consolidation of data sources such as user behavior, customer service interactions, contract information, demographic data
The introduction of an AI-based churn prediction system effectively reduces the churn rate and significantly increases customer loyalty. Thanks to machine learning, the company is able to make predictions about potential customer churn. On this basis, it takes proactive preventative measures. This leads to higher customer satisfaction and increased customer loyalty. The use of the AI system also reduces operating costs.
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