CASE STUDY

Direct to Consumer Business

Commercial Sales

Predictive Scoring Enables Faster Engagement with Potential Repeat Buyers

A direct to consumer (DTC) business used the boodleAI platform to generate a model that predicted which existing customers are most likely to become repeat buyers. Using this model, the business scored and filtered its entire customer database in minutes to identify the customers its sales and marketing teams should prioritize.

The Challenge

A DTC business with 100,000+ past orders and ten of thousands of past and current customers for its high margin products had a segment of high value customers who made extensive repeat purchases.  The business wanted to identify these customers earlier in their lifecycle and convert to repeat customers sooner.

Use of Guidon by boodleAI

Using the boodleAI platform and its customer database, the business created multiple custom guidons that predicted which current customers were likely to become repeat, large order value, and/or high lifetime value customers. The business uploaded its entire customer database for scoring, filtering, segmenting, and sorting using these custom models as well as instant guidons that predicted spending capacity, generation, and preferred method of outreach for each customer.  

The Results

The business quickly identified the segment of first time customers who had the highest predicted likelihood of become repeat customers. This allowed the business to focus its marketing promotions on these customers immediately. 

Features Used

  • Predictive Analytics (Custom Guidons, Instant Guidons)

Benefits Produced

  • Ability of business to identify repeat customers increased
  • Significant time and costs savings

Investment

  • Purchase of Guidon Annual License
  • Compilation of customer records
  • 10 minutes to upload data to Guidon
  • 20 minutes to create, test, and review a custom guidon
  • 20 minutes to apply instant and custom guidons to contact lists

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