While they had plenty of disparate customer data overall, they held no actual knowledge of personas, needs or trigger points. Their teams worked on rule base customer segmentation and targeting with no real measured impact for campaigns, as well as multiple teams reaching out to customers with different messages.
ElectrifAi deployed and scaled an Ai driven solution to 70+ million subscribers within 6 months. To begin, we established a new analytics workflow that prepared and transformed data, as an automated process for longitudinal views of customers, including Customer Demographics, Account Information, Device Information, Equipment Installment Plans, Customer Care Memo Logs, Payments and Usage.
We also enabled data driven customer segmentation, insights into customer needs and predictive insights on the campaign pipeline. Our model used advanced ML to predict and optimize the following:
Incremental Annual Revenues
