Donor economics
The Donor File Health Check: Five Numbers That Reveal a Leak
The year-end total can rise while the file rots. Five metrics tell you which is happening.
By Donor Insights · Published August 16, 2026 · Updated August 27, 2026 · 7 min read
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Key takeaways
- A donor file's health shows in a handful of numbers, not the year-end total, because dollars can rise while the base of people quietly shrinks.
- Five metrics read a file at a glance: retention rate, reactivation of lapsed donors, recency mix, recurring share, and new-donor count.
- Sector donor retention was 43.3% in 2025, which still means most files lose more than half their donors every year, and the small topline rise came from mix, not recovery: retention fell inside every donor-size segment except the largest (Fundraising Effectiveness Project).
- New-donor retention is 18.9%, flat on the year, so roughly four in five first-time donors do not give again, which makes new-donor count and first-year retention the two numbers to watch together (Fundraising Effectiveness Project).
- Donor Insights reads your own giving records to show all five metrics side by side, so a healthy total cannot hide a file that is losing people.
A donor file's health does not show up in the year-end total. It shows up in five numbers: your retention rate, how many lapsed donors come back, your recency mix, the share of giving that recurs, and how many new donors you add. Read together, they tell you whether the file is growing or quietly leaking. Sector donor retention was 43.3% in 2025, according to the Fundraising Effectiveness Project, which means most files are losing more than half their donors a year while the headline dollars can still tick up.
What does a healthy donor file look like?
Not the same thing as a growing revenue number. Dollars can rise for a year on a few large gifts while the base of people underneath them thins out, which is exactly why a rising average gift size can be a warning sign rather than good news. A healthy file keeps most of the donors it had, wins back some of the ones it lost, and adds enough new donors to more than cover normal attrition. The five metrics below are the vital reads. None is hard to calculate; the value is in watching them together and over time.
Metric 1: Is your retention rate holding?
Retention is the share of last year's donors who gave again this year, and it is the single best read on whether a file is compounding or draining. The sector average is 43.3%, and new-donor retention is far lower, at 18.9% and flat on the year, so roughly four in five first-time donors never give a second gift (Fundraising Effectiveness Project). Track your overall rate and your first-year rate separately, because a healthy-looking overall number can hide a first-time cohort that is walking straight back out the door.
If you read only one number on this list, read your donor retention rate. Everything else on a file follows from whether the people who gave once give again.
Metric 2: Are lapsed donors coming back?
Reactivation is the share of donors who lapsed and then gave again. Across the sector it runs low, usually in the single digits, so a lapsed donor is far harder to win back than a current one is to keep. That does not make reactivation worthless: a file that recovers even a small, steady share of its lapsed donors is healthier than one that writes them off. Watch the rate over time, and treat a falling reactivation number as a sign that donors are leaving for good rather than pausing. Our guide to lapsed-donor reactivation covers how to win back the ones who can be won back.
Metric 3: What does your recency mix look like?
Recency is how recently each donor last gave, and the mix of it across your file is a fast read on which way the file is trending that a single average cannot give you. A file where most donors gave in the last twelve months is healthy; a file where the bulk last gave two or three years ago is a lapsed base wearing a large headline number. Sort donors into recency bands and watch the share in the most recent band. Recency is the first letter in RFM segmentation for a reason: it is the strongest single predictor of who will give again.
Metric 4: What share of giving is recurring?
Recurring share is the portion of your donors, and your dollars, that come from monthly and other automatic gifts. It matters because recurring donors are retained far better than one-time givers, so the higher your recurring share, the more of next year's revenue is already committed. Across the sector, 71% of monthly donors are still giving a year after they start, against 24% of first-time one-time online donors (M+R Benchmarks 2026). A file with a growing recurring share is buying itself stability; a file with none is starting from zero every January. See our recurring giving benchmarks for what strong looks like.
Metric 5: Is new-donor count keeping up with attrition?
Every file loses donors, so the last read is whether you add enough new ones to cover the loss. Across the sector the number of donors fell 3.6% in 2025, the fifth straight year of decline (the decline has slowed for three years running, but it has not stopped), which means new donors are not replacing the ones walking out. Put your new-donor count next to the number you lost to lapse: if new donors are fewer, the file is shrinking no matter what the dollars say. This is the leaky-bucket problem, and it is why acquisition and retention are one budget, not two. Our guide to donor acquisition cost covers how to judge that spend over a donor's lifetime.
“Increasing customer retention rates by 5% increases profits by 25% to 95%.”
The five-number file health check
Put the five together and you can read a file in a minute. The point is direction and trend, not a single passing grade.
| Metric | Healthy signal | Warning sign |
|---|---|---|
| Retention rate | Steady or rising, first-year rate watched separately | Falling, especially among first-time donors |
| Reactivation | A small, steady share of lapsed donors return | Rate falling toward zero |
| Recency mix | Most donors gave in the last 12 months | Bulk of the file last gave 2 to 3 years ago |
| Recurring share | Growing share of donors and dollars on automatic gifts | Little or no recurring revenue |
| New-donor count | New donors exceed the number lost to lapse | New donors fewer than donors lost |
Picture a fictional organization, Cedar Mill Outreach. The numbers are illustrative. Its revenue rose 6% last year, so the board is pleased, but its retention slipped to 40%, recency shows most donors last gave in 2025, and it added 300 new donors while losing 520 to lapse. The dollars are up and the file is shrinking at the same time. Only the five metrics make that visible; the total alone never would. Donor Insights reads your own giving records and shows all five side by side, so a healthy-looking year cannot hide a file that is losing people. For the small set of headline numbers every organization should watch, see our fundraising KPIs guide, and for how cohorts age over time, donor cohort analysis.
Frequently asked questions
- What metrics show whether a donor file is healthy?
- Five read a file at a glance: retention rate, reactivation of lapsed donors, recency mix, recurring share, and new-donor count. Watched together and over time, they tell you whether the file is growing or leaking, which the year-end total alone cannot.
- Can our revenue grow while our donor file gets weaker?
- Yes. Dollars can rise on a few large gifts while the base of people shrinks. Across the sector in 2025, dollars rose 5.0% while the number of donors fell 3.6% (Fundraising Effectiveness Project). Retention, recency, and new-donor count catch that; the total does not.
- Which single metric matters most?
- Retention. It is the share of last year's donors who gave again, and everything else on a file follows from it. Watch your overall rate and your first-year rate separately, since new-donor retention runs at 18.9% and can hide behind a healthier overall number.
- How often should we check these numbers?
- At least quarterly, and always as a trend rather than a one-time snapshot. A single reading tells you where the file stands; the direction of each metric over several periods tells you whether it is getting healthier or quietly leaking.
Sources
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