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  • › PREDICTIVE ALGORITHMS

    RESULTS

    126% average increase in historical conversion rates

    #retail

    CHALLENGE

    Increase the volume of ‘Private Label’ credit card sales for one of the retail group’s brands, penetrating the group’s internal prospect portfolios.

    Through lifetime value and purchase propensity models, we identified 20 different opportunity segments.

    Through lifetime value and purchase propensity models, we identified 20 different opportunity segments. This is how we design a relationship strategy through outbound channels. The strategy was implemented in our relationship solution, prioritizing the match of channels with the propensity and lifetime value segments.

    SOLUTION

    RESULTS

     

    Average increase of 126% in historical conversion rates and 109% in the accumulated volume of cards sold compared to the results of the competition that had already been operating for more than 12 months with this client. Important insights were also identified on the socioeconomic, demographic and behavioral profile of the triggered leads that allowed working on specific offers.

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