Product Propensity
Problem
- High customer communication costs
- Inefficient non-personalized communication
- Increasing churn rate
- Revenue-loss of sales-teams because of randomization of leads
Action
- Developed behavioral modeling to identify the customers with higher propensity to buy
- The model enabled identification of the best product for high-propensity buyers
- The model generated personalized offers using advanced analytics based on customer data
- The model enabled focusing on customers with high revenue potential
12
%Increased Sales
10
%Reduce churn
12
%Reduce Communication Costs