twoday kapacity’s Customer Churn & Retention Framework uses your data combined with the latest technology in machine learning to predict which customers are most likely to leave you.
Based on the insights of the churn model, we come up with concrete suggestions on how you should act to keep your most valuable customers. All the while the model is continuously retrained and optimized to predict what works in the pursuit of keeping customers.
Satisfied customers are the foundation of most companies. They generate a steady stream of earnings and are more open to additional sales. Studies have repeatedly shown that it is significantly more expensive to acquire a new customer than to retain an existing one.
With churn prediction, you have the opportunity to spot customers who are at high risk of leaving the business. Specifically, a churn model can predict the probability of a customer churn within a specific period of time. Coupled with a customer lifetime value calculation, you can also see which customers are most valuable to the business.
With twoday kapacity's Churn & Retention Framework, we do not just spot churn – we act on that basis. With our retention actions, you get a powerful tool that allows you to retain the right customers.
Based on insights from the machine learning model, business hypotheses, domain experts and customer valuation via CLV, actions are designed that will be taken into use by the business.
These actions are measured and tested in a continuous feedback flow, which continuously improves the model, insights, actions and the business.
In the White Paper you get:
Aarstiderne has carried out a strategic customer loyalty project entitled “the best customer experience each time”. The objective was to give more structure to the customer loyalty work. But what did it take to achieve this goal?
Aarstiderne chose, among other things, to focus on better customer analyzes and started a dialogue with twoday kapacity about Customer Churn & Retention. The goal was to gain better insight into which customers were most likely to churn.
The model used by Aarstiderne looks at more than 300 variables. This ensures a high degree of accuracy of the customer analyzes that the model delivers.
Satisfied customers are the foundation of most businesses. They generate a steady stream of income and are more open to upselling. At the same time, studies show that it costs five times as much to acquire a new customer as it does to retain an existing one. Therefore, it is important to focus on ho...
Your customer data can tell you a lot about which of your customers might be about to leave you but how much does it actually take? What specific information do you need in order to make a prediction of Customer Churn?
Quickly learn which of your customers will leave your business first.
Do as a large number of the country’s most ambitious companies:
Fill out the form or get in touch with Søren – then we can have a chat about your challenges and dreams.
Partner & CCO
26 30 90 01