Customer retention through Churn Prediction

All research shows that retaining customers is easier than getting new ones. Therefore, STARK must predict when a customer is about to leave to do everything to maintain the customer.

The first step in retaining a customer is to discover that they are about to leave. This prediction is also called Churn prediction.

Churn prediction requires large amounts of data and intelligent models to analyze these. STARK already had historical data on customer behavior, and combined with knowledge and expertise from Context&, an AI model has been fed with this data and trained to assess the risk of churn among customers.

But an AI model is not better than we make it. The preparation of data for training the AI model behind STARK's churn prediction used over 900 unique parameters. These parameters have been selected in collaboration between STARK and Context& based on close cooperation and a very early business clarification with STARK's management, business experts, and data responsibility.

How does STARK utilize the new knowledge in practice?

Insight must be operationalized to be valuable. With the new AI-based churn solution, STARK gets an updated risk assessment on all customers every week. This allows them to target their retention initiatives towards customers with the highest churn risk - or the opportunity to capture customers who show an increasing risk over time.

STARK is using the churn solution directly in their Dynamics 365 solution. If a customer is at high risk in the churn analysis, tasks will be created for the responsible sales employee. This way, STARK can directly contact their customers to retain them with offers or give them attention with a relevant dialogue.

STARK can also use churn risk data as input for its marketing initiatives. In practice, they can look at churn risk and its development over time and use it to segment their communication to customers through emails and ads. All follow-up processes are set up in the system, and no employee needs to keep track of the analyses in a static model. The AI model automatically initiates a marketing process when a customer reaches a critical percentage.

With the help of Context&, STARK has activated all the data they already had and gained a strong weapon in the fight to retain and win customers. They quickly translate a large amount of data into behavioral patterns. In this way, they can predict when a customer is, for example, about to move their business to one of STARK's competitors.

The value of the individual customer is quite significant. All research shows that it is easier and more profitable to hold on to your customers than to go out and find new ones. STARK has, therefore, set all sails to succeed in minimizing churn. Together with Context&, STARK has embarked on a data journey. Here, it is intelligent models and artificial intelligence that have put customer retention in the system and automated the processes around churn.

This completely new and effective method saves STARK's employees time, which also results in customers feeling seen. STARK uses its new churn solution directly in Dynamics 365, and every week, STARK automatically receives an updated risk assessment of all customers.