Our strategy
Churned provided ThePhoneLab with a customer success solution that could enable the brand to scale personalized retention actions quickly. The process includes three steps. First, Churned machine learning engine identified new customer segments after analyzing customer and external data. Second, Churned was able to determine customers’ health scores for ThePhoneLab and churn risk levels based on a few key metrics, for example, “Date of last purchase”, “Channel of purchase (in-store or online)” and “Type of purchase/service”. In this way, ThePhoneLab was able to gain in-depth insights into its clients. Third, with Churned’s AI-driven “Next best action” module, personalized customer retention actions for ThePhoneLab were made scalable. For example, based on data of past purchases, what is the next best product to recommend, what is the best channel (online/in-store) and what is the most suitable approach. These insights allow ThePhoneLab to optimize customers’ lifetime values and build long-term customer loyalty. In short, Churned machine learning engine made it accessible for ThePhoneLab to target the right customer at the right time, and in the right way.