Nonprofits & Associations · capability model · retention and sustainers
Revenue up 5.0%, donors down for the fifth straight year — the model spends on the second gift
Sector giving grew 5.0% in the published data, the strongest revenue growth in five years, while donor counts fell 3.6% for the fifth consecutive annual decline. Fewer people are giving more. The model treats that as a retention problem and puts the budget on the second gift rather than the first.
43.3%
giving up 5.0% while donor counts fell 3.6%Sector donor retention
Modelled figure — not a client result
24%
against 66% for prior and repeat donorsNew-donor retention
Modelled figure — not a client result
90% at 2 months
81% at 7 months, 71% at 12 monthsMonthly sustainer retention
Modelled figure — not a client result
27%
new donors are 31% of online donorsMonthly giving as a share of online revenue
Modelled figure — not a client result
$2.40 per year
up from $1.87Revenue per email subscriber
Modelled figure — not a client result
Modelled. Inputs: AFP Fundraising Effectiveness Project, Q4 2025 Report; M+R, Benchmarks 2026 (2025 data). Modelled outputs are not a forecast or a guarantee of results. Cited: Fundraising Effectiveness Project *Full-Year 2025 Report* (Apr 2026).
At a glance
The engagement in brief
Services
- Email Marketing
- CRM
- Reporting
- Content
- Landing Pages
- CRO
Stack
- Email platform
- Donor database or CRM
- Landing pages
- Reporting
The situation
What we walked into
The two published datasets tell one story from opposite ends. Sector giving rose 5.0%, the strongest revenue growth in five years, and the number of donors fell 3.6% — the fifth consecutive annual decline. Online revenue grew 15%, monthly giving grew 12%, and donor-advised fund revenue grew 44%. Retention sits at 43.3% across the sector, and the split underneath it is where the problem lives: 24% of new donors give again, against 66% of prior and repeat donors. An organisation reading only the revenue line sees a good year. The same organisation reading the donor line sees its base shrinking beneath a revenue number being held up by fewer, larger, older relationships.
Roughly three-quarters of the people who gave for the first time this year will not give again. Revenue is up anyway, which is exactly what makes it easy to ignore.
What we found
The diagnosis
01
The first gift and the second gift are different products
24% new-donor retention against 66% for repeat donors is not a gradient, it is a cliff at a specific point. Everything about the first ninety days after a first gift — what it funded, what the donor is told happened, what is asked of them next — is a different job from acquisition and is usually staffed as an afterthought to it.
02
Sustainers decay on a curve that tells you when to intervene
Monthly giving retention runs 90% at two months, 81% at seven and 71% at twelve. The steepest loss is early, which puts the intervention that matters in the first quarter of a sustainer relationship rather than at the twelve-month mark, where most stewardship effort goes.
03
Monthly giving is a quarter of online revenue and is usually one radio button on a form
Monthly gifts are 27% of online revenue. Against an average of $183 per one-time donor per year across 1.3 gifts, and a donor-advised fund average gift of $1,430, a sustainer converted early changes the arithmetic of the relationship permanently. The model gives sustainer conversion its own funnel and its own pages.
04
The metric most teams would manage this with no longer exists
M+R stopped publishing email open rates because Apple Mail Privacy Protection made them non-comparable. Any nonprofit open-rate benchmark still circulating mixes real opens with pre-fetches and cannot be compared across years or organisations. Click-through and response rate are the surviving measures: 0.59% and 0.05% on fundraising email, 2.3% and 1.4% on advocacy.
05
December concentration makes retention a January problem
37% of annual online revenue arrives in December, which makes that month's donors the largest new cohort of the year, arriving exactly when the team has least capacity to welcome them properly. That is a plausible mechanism for the 24% figure and a fixable one.
The number behind it
What this is built around
Sector giving **+5.0%** (strongest in five years) while donor counts fell **3.6%** — a fifth consecutive annual decline.
What we built
The system
The model reorganises the year around the second gift. Phase one separates numbers currently reported as one: new-donor retention, repeat-donor retention and sustainer retention by cohort month, so the December cohort can be read on its own. Phase two builds the first ninety days as a designed sequence rather than a receipt — what the gift did, who it reached, one piece of evidence, and a single next step that is not immediately another appeal. Phase three treats sustainer conversion as its own funnel with its own page and its own ask, aimed at donors inside their first quarter where the published decay curve is steepest. Advocacy is used deliberately as an entry point, since it draws far higher engagement than fundraising email, with the path from signature to gift built explicitly rather than assumed.
The sequence
How it was delivered
Weeks 1–3
Cohort reporting
Retention split by new, repeat and sustainer, and by acquisition month
Owner: OmniFlow + organisation
Weeks 3–8
First ninety days
A designed post-gift sequence: what it funded, evidence, one non-financial next step
Owner: OmniFlow
Weeks 6–12
Sustainer funnel
Its own page and its own ask, targeted at donors in their first quarter
Owner: OmniFlow
Weeks 8–16
Advocacy-to-gift path
Signature to gift built as a sequence with its own measurement
Owner: OmniFlow
Months 9–11
December cohort plan
Welcome capacity planned before the year-end load rather than after it
Owner: OmniFlow + organisation
Month 12
Review
Retention by cohort, sustainer conversion rate, revenue per subscriber
Owner: OmniFlow + organisation
Outcome
What the model produces
The model reports retention by cohort rather than as a single sector-style figure, because 43.3% across an organisation conceals a 24% number and a 66% number that need completely different work. Revenue per subscriber is reported alongside, against a published $2.40 a year and rising, as the check on whether the list is being asked more often or asked better. Open rates are not reported at all, in any form, because they are no longer comparable. Every published input is replaced by the organisation's own from quarter two. Modelled outputs are not a forecast or a guarantee of results.
Modelled. Inputs: AFP Fundraising Effectiveness Project, Q4 2025 Report; M+R, Benchmarks 2026 (2025 data). Modelled outputs are not a forecast or a guarantee of results. Cited: Fundraising Effectiveness Project *Full-Year 2025 Report* (Apr 2026).
Inputs
What the model is built on
Every figure below is published research, not a client result. They are the inputs to the arithmetic above, listed so it can be checked rather than taken on trust. The bracketed number points to the full citation at the end of this page.
43.3%
[1]Sector donor retention
Q4 2025
24%
[2]New-donor retention
2025 data
90% at 2 months
[2]Monthly sustainer retention
2025 data
27%
[2]Monthly giving as a share of online revenue
2025 data
$2.40 per year
[2]Revenue per email subscriber
2025 data
The published figures, side by side
Rates share a 0–100% scale. Costs and counts are scaled against the largest value shown.
- Sector donor retention[1]43.3%
Q4 2025
- New-donor retention[2]24%
2025 data
- Monthly sustainer retention[2]90% at 2 months
2025 data
- Monthly giving as a share of online revenue[2]27%
2025 data
- Revenue per email subscriber[2]$2.40 per year
2025 data
Run the model on your own numbers
Change the volume and the target rate. Everything else is held at the published benchmark above, so the output is arithmetic you can check rather than a claim.
Reporting
What you would actually see
These are the surfaces this engagement is run and measured from, shown with representative figures built around the benchmarks cited on this page. Every account we run reports into views like these, and you keep ownership of all of them.
These are demo dashboards. They show the reporting surfaces this engagement is run and measured from, with representative figures generated around the published benchmarks cited on this page — not a client account and not a client result. Live reporting for your own account replaces every number here.
Google Analytics 4
Nonprofits & Associations · all web data
Sessions
5,494
+58.9%
Key events
158
+73.6%
Session key event rate
2.9%
+0.8%
Engagement rate
57.2%
+5.6%
Sessions by month
Dashed line marks the month the engagement started.
| Session default channel group | Sessions | Key events | Rate |
|---|---|---|---|
| Organic Search | 2,200 | 60 | 2.7% |
| Paid Search | 1,385 | 41 | 3.0% |
| Direct | 954 | 30 | 3.1% |
| Referral | 511 | 11 | 2.2% |
| Organic Social | 443 | 11 | 2.5% |
LinkedIn Campaign Manager
Sponsored Content · Nonprofits & Associations audience
Impressions
105,159
+32.1%
Clicks
671
+35.3%
CTR
0.6%
+0.20%
Cost per lead
$192.90
-21.5%
Impressions by month
Dashed line marks the month the engagement started.
| Campaign | Impr. | Clicks | Leads | CPL |
|---|---|---|---|---|
| Thought leadership — practice leads | 35,754 | 228 | 16 | $192.90 |
| Problem-aware — retargeting | 27,341 | 174 | 12 | $192.90 |
| Case study download | 23,135 | 148 | 10 | $192.90 |
| Webinar registration | 18,929 | 121 | 8 | $192.90 |
CRM pipeline
Nonprofits & Associations · inbound and outbound
Leads created
175
+64.5%
Qualified
70
+74.2%
Meetings booked
43
+77.5%
Answered on first attempt
63.0%
+16.4%
Leads created by month
Dashed line marks the month the engagement started.
| First-touch source | Leads | Qualified | Meetings |
|---|---|---|---|
| Google Ads — high intent | 54 | 22 | 10 |
| Organic search | 47 | 19 | 9 |
| Business Profile — call | 33 | 13 | 6 |
| LinkedIn outbound | 25 | 10 | 5 |
| Referral | 16 | 6 | 3 |
Method
How this is measured
Each figure on this page, the system it is read from, and the definition and window it is measured over.
| Figure | Read from | How it is defined | Status |
|---|---|---|---|
| Sector donor retention | published benchmark | Q4 2025 | Published |
| New-donor retention | published benchmark | 2025 data | Published |
| Monthly sustainer retention | published benchmark | 2025 data | Published |
| Monthly giving as a share of online revenue | published benchmark | 2025 data | Published |
| Revenue per email subscriber | published benchmark | 2025 data | Published |
Honestly
What we would do differently
Not applicable — this is a modelled engagement. Its weakest input is that the published retention figures come from two different datasets built on different populations: the sector retention rate from a broad donor-transaction sample, the new-versus-repeat split from a digital benchmark weighted toward larger national organisations. A small local organisation's real cohort curve may look like neither. The cohort reporting in phase one exists to replace both before any budget moves.
Evidence base
2 sources, 2 publishers
Full citations for everything cited on this page, with the sample and period each study covers, so you can go and read the original.
Published research
- [1]
AFP Fundraising Effectiveness Project, Q4 2025 Report
Supports: Sector donor retention
- [2]
M+R, Benchmarks 2026
2025 data
Supports: New-donor retention · Monthly sustainer retention · Monthly giving as a share of online revenue · Revenue per email subscriber
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