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ADAPTIVE LEAD GENERATION FOR MARKETING

  • US 20190318378A1
  • Filed: 06/26/2019
  • Published: 10/17/2019
  • Est. Priority Date: 05/13/2016
  • Status: Active Grant
First Claim
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1. A system comprising at least one processor and a memory in communication with the at least one processor, wherein the system is programmed to:

  • receive first execution cycle data comprising a first lead and a second lead, wherein the first lead comprises first lead information describing a first potential customer and the second lead comprises second lead information describing a second potential customer;

    determine a first lead score for the first lead based at least in part on a first lead scoring model;

    determine that the first lead score for the first lead is greater than a first lead score threshold;

    determine that a second lead score for the second lead is less than the first lead score threshold;

    generate a set of filtered leads including the first lead information from the first lead;

    determine that a quality of the first execution cycle data is different than a quality of analysis window data by more than a quality threshold, the analysis window data comprising a plurality of leads received during an analysis window time period;

    determine a second lead scoring model based at least in part on the first execution cycle data;

    receive second execution cycle data comprising a third lead comprising third lead information describing a third potential customer;

    determine a third lead score for the third lead based at least in part on the second lead scoring model;

    determine that the third lead score for the third lead is greater than the first lead score threshold; and

    generate a second set of filtered leads including the third lead information from the third lead.

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