Churn is a significant concern for companies, where an increase in rate signals that there are problems that need immediate attention. Companies have to consistently monitor churn rates to identify which customers are likely to drop off and why. Only accurate and relevant analysis can deliver insights into churn rates and the reasons for churn.
The customer, an asset management company, wanted to analyze their churn rate to come up with a robust intervention strategy.
An in-depth analysis of the customer’s processes revealed various challenges.
Apexon utilized our capabilities in data science and R and open source library OpenNLP to devise a solution where we:
Formulating a strategy for geo-analysis at state, segment, and high net worth level, Apexon came up with a solution that involved:
Learn how we helped a large physicians group based in the US use deep learning models to improve error identification by 3x and reduce financial leakage by 40%.
Automotive & Manufacturing
Discover how we helped a German engineering firm automate video labeling for their autonomous vehicle project to identify street objects and their location with over 82% accuracy.
Discover how we helped a financial advisor offering online investment advice evaluate the feasibility of their retirement plans 30 years into the future.
Discover how we helped an asset management company analyzes its high churn rate to identify opportunities for customer retention and improve CSAT