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Predictive Marketing

A major financial institution sought to increase the efficiency of retail banking promotions for customers across the world.


  • The bank lacked adequate user behavioral data to predict credit card promotions to users geographically using their service around the world.
  • Privacy concerns and sovereignty regulations inhibited the centralization of PII.
  • Decreased accuracy in financial projections due to a lack of purchase history and user activity data.


  • Devron deployed algorithms at the user level to preserve the privacy of underlying user data.
  • Devron trained highly efficient promotional recommendation algorithm to recommend restaurants, events, and credit cards to optimize user purchase behavior.
  • Decentralized model training resulted in a 30% increase in customer onboarding and retention from increased service adoption and better product recommendations.
Predictive Marketing
Predictive Marketing
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