Together with the bank, we used several years’ worth of transaction descriptions and a number of transactions of a specific type to identify a family with children.
Analyses of behavior patterns have shown that customers in this segment spend the most money in September. As a result, the bank offered this family a personalized loan product at the right time.
10x greater success
The approach was 10 times more successful than using standard procedures without analytics on the top of Big Data. Usually, simpler rules are used for credit offers (for example, account balance and credit limit).
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