35% of customers had stopped trading in the last one year due to M2M portfolio losses in their holdings.
- Created an analytics model which predicted price range at which investors are likely to sell stocks based on their trading patterns.
- Two groups were created – 80% Test Group and 20% Control Group. And the client ran a price alert campaign on them.
- Test Group – received a campaign alert at the time when the model predicted price and Control Group – received an alert at random times
In the Test Group, the reactivations of churned investors were higher by 27% as compared to the control group.