A leading equity broker reduces customer churn with a customised analytics model

Challenges

35% of customers had stopped trading in the last one year due to M2M portfolio losses in their holdings.

Netcore’s Strategy

  • 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

Results

In the Test Group, the reactivations of churned investors were higher by 27% as compared to the control group.

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