A Malaysian Loyalty Program sees uplift upto 22% in cross-sell revenues using predictive analytics.

Challenges

63% members were using loyalty card from one merchant. And the company was looking for a way to increase cross merchant transactions.

Netcore’s Strategy

  • Created a look-alike model to identify single-merchant members who look similar to multi-merchant members
  • Based on association of brands that are likely to go together, an association rule algorithm was implemented to identify the next best merchant
  • High and low affinity segments were then created to measure the model’s effectiveness
  • Offer based campaigns were ran on these segments

Results

High affinity segments saw conversion uplift of 22% and low affinity segment saw conversion uplift of 3%.

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