Illustrative engagements are composite examples showing how we approach this type of work. They do not describe a specific client.
Abstract
A donor-centered view of declining recurring support and where durable growth might come from.
An international humanitarian nonprofit
The question
Why are recurring donors disengaging, and where can the organization build lasting relationships?
Context
An international humanitarian nonprofit saw its recurring donor program lose momentum. Campaign-level reporting showed activity but could not explain differences in giving histories, motivation, or channel preference. Leadership needed a framework for stewardship rather than another broad donor persona.
Our approach
- Frame
- Define the retention and growth decisions, donor groups to study, and what would count as an actionable segment.
- Collect
- Combine consented giving histories with donor interviews, survey responses, and message tests across channels.
- Analyze
- Model donor lifetime value as a range, cluster behavioral and motivational segments, and assess channel mix.
- Validate
- Compare segments across cohorts, test sensitivity to campaign effects, and check interpretations against donor voices.
- Advise
- Present stewardship priorities, message guidance, and a decision memo for testing channel investments.
Methods
- Primary research
- Donor interviews · Survey design · Message testing
- Quantitative analysis
- Donor segmentation · Lifetime value modeling · Cohort analysis
- Validation
- Holdout cohorts · Sensitivity analysis · Triangulation
What the client received
- Donor segment profiles and stewardship priorities
- Lifetime value framework with assumptions and ranges
- Message-testing findings and channel mix options
- Executive decision memo and model hand-off
Outcome
The team could distinguish relationships worth nurturing from short-lived campaign responses and prioritize outreach by donor need, channel fit, and uncertainty.
Team on the engagement
Research Director · Senior Statistician / Survey Methodologist · Senior Data Scientist