CASE STUDY

Museum

Nonprofit Fundraising

Use of Predictive Model Increases Email Engagement 34%+

A museum successfully used a custom guidon to predict which contacts were most likely to increase engagement with their organization after receiving marketing communications.

The Challenge

The museum sought to increase the response rate to its email outreach campaigns. The organization's development staff wanted to segment its newsletter list into those who had the highest likelihood of responding and those who were less likely.

Use of Guidon by boodleAI

Using the boodleAI platform, the the museum created a custom guidon to predict likely donors and then performed an A/B test.

The Results

The museum used a custom guidon to predict likely donors and then performed an A/B test in an email campaign. The number of recipients opening emails was 35% higher overall, and the number of opens in the A group of higher scored prospects was 34% higher than the B group of lower scored prospects.

Features Used

  • Predictive Analytics (Custom Guidon)

Benefits Produced

  • Ability of organization to identify contacts likely to respond to email increased signifcantly
  • Significant time and costs savings

Investment

  • Purchase of Guidon Annual License
  • Compilation of donor records
  • Compilation of contact lists
  • 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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