CASE STUDY

Hunger Relief Organization

Nonprofit Fundraising

Descriptive Analytics Personas Provide Insights into Post-COVID Donors

A hunger relief organization used boodleAI's descriptive analytics and data segmentation tools to create pre- and post-COVID donor profiles that provided valuable insights.

The Challenge

A hunger relief organization wanted to compare pre- and post-COVID donors to understand what, if any, changes had occurred in the profile of their typical donor. The organization wanted to be prepared to adjust their donor outreach strategy if needed.

Use of Guidon by boodleAI

The nonprofit uploaded its donor database into boodleAI's platform, including organizational information dating their first donation.  Using this donation data, the nonprofit created separate segments for pre- and post-COVID donors.  The nonprofit then viewed and compared automatically generated personas for their pre- and post-COVID donors. 

The Results

The nonprofit was able to identify what had changed about their typical new donor, pre- and post-COVID. This empowered them to refine and refocus their fundraising efforts for the future, including ad-buys, to save money.

-Features Used

  • Descriptive Analytics (Personas)

Benefits Produced

  • Ability to create ideal donor profiles
  • Ability to focus online ad-buys and save money

Investment

  • Purchase of Guidon Annual License
  • Compilation of donor records
  • 10 minutes to upload data to Guidon
  • 10 minutes to review Personas

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