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USE CASE

Direct Mail Marketing

Objective

  • Develop better customer profiles that will target direct mailing, optimizing costs behind direct in-home mailing

  • Reach customers at the right time with the right message

Outcome

  • 60% model performance gains

  • Data available in 36 hours, down from several days.

  • Saved $5k in execution costs per model 

Business Value

  • Deliver in-home mail quickly, economically and predictively.

  • Deliver sales revenue increases by maximizing direct mail campaign responses. 

H2O's AI and Data Approaches

  • Extract meaningful insights from credit, demographic and other data sets in the data lake

  • Used batch process to calculate and store scores for consumers

  • Create prediction algorithms to achieve high consumer response rates

  • Build propensity models based on customer profiles to determine response rates and potential conversions

  • Achieve desirable end-to-end processing time with agility and performance

Resources

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