The retention team only saw customers who called to leave. Most never called.
A risk score, with the reason, for every electricity customer — so the team calls before they leave, not after.
A January gas bill can be five times the summer one. That is when customers leave.
A risk score with reasons for every gas delivery point, so offers go out before the January bill. Tested on a winter it never saw.
Customers leave in the 30 days after their own operator raises the price.
A monthly risk score per phone line, with prepaid, contract and business kept apart. It also measures whether a retention call helps or hurts.
Insurers can no longer charge loyal customers more. Customers still leave at renewal.
A risk score for every policy before renewal, tested on a cycle it never saw. It decides who gets a call, never who pays more.
The account stays open. The customer has already moved on.
A monthly score for each customer or merchant that spots a relationship ending, not an account closing. Tested on months it never saw.
Marketing was spread evenly across farming regions, including ones where farmers could not afford to buy.
A weekly list of farming regions to focus on, with the reason and the dealer. Every score shows how fresh its data is.
A full CRM, and still no clear reason why deals stall or are lost.
A sales team's data becomes a working process: every opportunity is assessed, prioritized and followed, and the limits of the data are visible.
