Churn prediction and customer retention
In a competitive market such as that of electricity and natural gas, reducing customer churn is essential for ensuring the company’s stability and growth. The loss of customers not only has a direct impact on revenue, but also increases the costs associated with acquiring and retaining new prospects. A company operating in this sector turned to Moxoff to better understand the causes of churn and to implement targeted retention actions, optimising customer service and commercial offers based on the available data.
At Moxoff, we have developed a predictive model based on Machine Learning techniques to analyse customers’ past behaviours and anticipate future ones. This solution is designed to estimate churn risk and identify the reasons that could lead to customer loss, enabling the company to intervene promptly with corrective actions or personalised customer retention strategies.
