Case Study: Sorted achieves 85% churn prediction accuracy with Peak

85% Accuracy in Predicting Customer Churn

Sorted.com, a Leeds-based tech company in the parcel delivery industry, needed a better way to predict customer churn. It wanted to identify which customers were most likely to leave so it could focus retention efforts where they would have the most impact.

Peak used machine learning and predictive analytics to help Sorted.com optimise delivery, improve the online experience for customers, and reduce costs. The work gave Sorted.com an 85% accuracy rate in predicting customer churn and helped it monitor key metrics, target retention campaigns, and understand the business more deeply.

Sorted

David Grimes

CEO