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SUCCESS STORIES

CROSS SELL/UP SELL

Problem/Challenges

Improve upsell/cross-sell conversion rates from historical transaction patterns. Traditional methods require significant hand-crafted feature engineering.

Innovation

  • 1.Automated the process of identifying and segmenting customers financial behavior.
  • 2.Derived micro segments based on customer behavior and insights into micro segments.

Approach

  • 1.The challenge here is to use historical transactional data and patterns to understand the customer’s propensity to buy a new product.
  • 2.Traditional approach involved segmenting customers based on demographics.
  • 3.A multilayer deep learning network was constructed to analyze the financial transactions and identify the behavioral patterns.
  • 4.The behavioral patterns were then segmented using a clustering techniques, and the clusters were auto named.
  • 5.The propensity of the customer to buy financial products was estimated based on behavior.

Result

Significant lift in top 3 Deciles (15-55% spread throughout).