• ES
  • EN
  • PT
  • › PREDICTIVE ALGORITHMS

    RESULTS

    125% average increase in historical conversion rates

    #retail

    CHALLENGE

    During the pandemic, and with families facing financial difficulties, we needed to increase “Private Label” credit card penetration for one of the brands in our retail group, gaining access to the internal prospect portfolios of the group.

    "WITH PURCHASE PROPENSITY MODELS AND LIFETIME VALUE, WE IDENTIFIED 20 DIFFERENT OPPORTUNITY SEGMENTS"

    By conducting a survey of customer profiles, we identified 20 different segments of opportunity.
    We designed a relation strategy through outbound channels (virtual agents, RPA and human agents), prioritizing the match between channels and propensity segments and Life Time Value).

    SOLUTION

    RESULTS

     

    125% average increase in historical conversion rates, achieving 50,000 cards sold per month. Other relevant insights were identified regarding the socioeconomic, demographic and behavioral profiles of the activated leads that allowed us to work on specific offerings.

    DOWNLOAD FULL CASE