By using customer analytics and data mining, Crystal Qube™ builds predictive modeling based on customers’ past and present behaviour. This indicates the probability for a specific customer to stop using Telco services. By addressing these issues successfully, the customer will become more loyal and will be prevented and deterred from churning.
Based on the analysis of customer segmentation, churn score, usage patterns, recharge history etc., campaigns for retention, revenue enhancement (increasing customer wallet share) and cross-sell/up-sell can be designed. The campaign’s effectiveness is measured by capturing the response of the targeted base.
Crystal Qube™ measures the return on investments (ROI) for individual products or services. Based on performance analysis, Crystal Qube can help you decide which products' plan or services to focus on in the future. You can even perform profitability analysis on your or your competitors’ products.
Credit Risk Management
Customer analytics could be used for insights regarding credit payment risks. It measures non-payment risks attached to the customer based on their historical behaviour, credit dues, and thus, dunning actions are taken. The risk score is a valuable measure for up-sell campaigns as you won’t be focusing on activities that won’t return the investments.