Predictive Marketing

Predictive Marketing

Train highly efficient promotional recommendation algorithms to improve customer recommendations and optimize purchase behavior.


  • 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.


Increased Customer Acquisition
More Efficient Promotions
More Data for Analysis
Reduced Time to Insight