Predictive Marketing
Marketing

Predictive Marketing

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

Challenge

  • 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.

Solution

  • 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.

Outcomes

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Increased Customer Acquisition
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More Efficient Promotions
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More Data for Analysis
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Reduced Time to Insight
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View Additional Use Cases

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Build better predictive upselling models based on customer behavior by unlocking previously inaccessible datasets for analysis.

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