Bank cross-sells credit cards with smart recommendations​

Learn how we built a unified data foundation and applied ML to deliver personalized credit card recommendations, boosting cross-sell performance.

Business Challenge

The credit card product line of bank has been underperforming for about a year. To boost sales, the bank has been trying to cross-sell this product to new customers in deposit & lending product lines. However, often the customers are declining the offer saying that the suggested credit card types do not meet their needs.​​

Merkle Solution

  • Built a Customer Data Platform (CDP) to create unified profiles of existing customers.​
  • Profiles include credit card data and relationships with deposit and/or lending products from
    bank.​
  • Trained a machine learning regression model using these profiles, with credit card type as the
    target output.​
  • Used the model to recommend the right credit card type for new customers starting a deposit,
    lending, or both relationships.

Technology

  • XGBoost
  • Einstein Studio
  • Salesforce Data Cloud
  • AWS RedShift

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