Solution
Data Reply is able to recognize clients’ actions and discern between satisfaction and dissatisfaction factors from analysis and exploration of an enormous amount of data identifying customers’ tastes and behaviors inside organizations, both historical and real-time data . By means of a big data platform and machine learning ensemble algorithms, it is possible to predict customers’ loss and monitor their thoughts and actions about purchased services/products. These models enable marketing departments and agencies to:
- Find as soon as possible which customers are about to abandon and know them in depth;
- Put into practice personalized actions in order to reduce or avoid their migration, improving their journey;
- Increase the capability to react and anticipate possible desertions.
It is possible to analyze and classify customers’ actions to detect main attrition reasons in order to prescribe personalized real-time marketing campaigns. Customers’ behavior is used to build alerting systems, driving fast and appropriate company reactions.