Match customers to the right credit cards to optimize spends
The bank was not sure if their customers had the right type of credit cards. The card types were distributed based on salary bands, but not their preferences. However, this did not incentivize customers to spend.
maya.ai analyzed and understood the taste profile of customers. It matched the right card to the right customer based on their tastes, and their specific usage patterns. It precisely mapped this to card features, instead of salary band. The card optimization enabled customers to draw maximum benefits.
For a leading bank in India
identified 20% of customers,
with high affinity to healthcare and education services could be upgraded to a new card type
sized an opportunity to increase spends
by 120Mn USD to 240Mn USD by upgrading 20% of cards