Your donors are leaving. The signals were there all along.
Aleks Chojnacki
For most charities, the warning signs of donor churn are already in the data — they just don't have the tools to see them in time.
Most fundraising teams know they have a retention problem. Fewer know how big it really is — or that the warning signs are already sitting in their data.
In a recent webinar co-hosted with Dotdigital, we sat down with Rob Parkin from North West Air Ambulance to unpack the donor engagement gap: why it is growing, what it costs and how teams can start closing it with predictive AI.
This article distills the key takeaways.
The scale of the problem
A 2024 survey by digital agency Manifesto — covering over 2,000 donors and 300 charity professionals — painted a stark picture of the sector:
44% of first-time donors never give again. Acquisition spend is breaking even at best, only for half of that investment to walk out the door.
4 million fewer UK adults are donating today than in 2019. People who used to support causes have quietly stepped back.
61% of donors who stop giving say they disengage because charities ask too often. They did not stop caring. They felt overwhelmed.
Charities sent an average of 62 emails per subscriber in 2024 — up 9% on the year before.
Volume creeps up because teams are trying to hit revenue targets and sending to everyone is the path of least resistance. But donors experience this as noise and eventually tune out.
These donors did not disappear overnight. There were signals: declining engagement, fewer emails opened, longer gaps between gifts. Without the right tools, most organizations only see the gap after it has already opened.
Three barriers holding charities back
When we talk to charities about why retention falls through the cracks, the same three barriers come up.
The tech and data gap. Disconnected systems and fragmented data mean organizations cannot build a full picture of their supporters. The email platform does not talk to the CRM. Events data sits in a spreadsheet. Giving history is siloed from behavioral signals.
The decision gap. Data gets collected but not acted on. Decisions are driven by internal budget targets, not supporter readiness.
The team and skills gap. Siloed teams and competing priorities mean there is no shared view of the donor journey. The result is a fragmented experience where supporters feel like a number, not a partner.
During the webinar, we polled attendees on how they currently track disengagement:
Only 3% regularly predict churn with a dedicated solution
Over 50% said their engagement data is siloed from their giving data
54% have no formal process for re-engaging at-risk donors
Why retention is the most important metric you have
Retention is not a feel-good metric. It is the single most important indicator of a charity's financial health.
Repeat retained donors contribute proportionally more income than any other category of supporter. Retaining an existing donor is significantly cheaper than winning back a lapsed one or acquiring someone new — especially as acquisition costs keep climbing.
High retention transforms volatile fundraising into something sustainable and predictable. It reduces the desperate cycle of replacing lost donors just to maintain the status quo.
From reactive to proactive: how predictive AI changes the equation
Without the right tools, retention is reactive. Communications go out in batches to broad segments. There is no reliable way to know which donors are at risk until they have already lapsed — at which point recapture is expensive and conversion rates are low.
With predictive scoring, teams can:
Identify churn risk weeks before a cancellation happens
Unify transactional and behavioral signals into a single view
Score every supporter so you always know who needs attention and when
Suppress asks for high-risk donors and trigger the right intervention at the right moment
This is the shift from guessing to deciding. Instead of asking "Who lapsed?" you ask "Who is likely to leave, and what should we do about it now?"
How North West Air Ambulance built a proactive retention program
Rob Parkin manages the CRM and data at North West Air Ambulance. His team integrated Dataro's churn predictions with Dotdigital's automation to build a hands-off retention journey for regular givers.
The approach is deliberately simple:
After three months of regular giving, supporters become eligible for the churn intervention journey. Before that, they are still receiving welcome communications.
If flagged as high risk, they receive a first email — a thank-you message with a short video from a crew member explaining the impact of their gift. No ask. No CTA. Just gratitude.
If still high risk at six months, they receive a second email featuring a patient story that shows the real-world impact of their donation.
If risk persists, the supporter may then receive a phone call as a follow-up.
The entire process runs automatically. Dataro updates the predictions weekly, the CRM passes scores through, and Dotdigital sends the emails at the right time.
Why email instead of telemarketing?
Rob's reasoning was practical. Telemarketing is expensive, and the goal was not to ask for an upgrade or reactivation — it was to say thank you. Email was already paid for, and the intervention did not need a conversation. It needed a well-timed message that reinforced the value of each gift.
We contact people at their most vulnerable, according to the predictions. We're not asking them to do anything. We just want to use the power of a thank you to encourage them to stay."
Rob Parkin
CRM & Data Insights Manager @ North West Air Ambulance
The results
60% email open rate on churn intervention emails
30% lower cancellation rate among supporters who received an intervention compared to those who did not
38% conversion rate on monthly gift increases using Dataro's upgrade models — significantly outperforming all previous benchmarks
Each supporter retained for an additional year represents roughly £120 in protected revenue at the average gift level
Proof from across the sector
North West Air Ambulance is not an isolated case. Other charities using predictive AI are seeing similar results:
Breakthrough T1D used personalized ask amounts driven by AI predictions and saw a 71% increase in gift value. The key was not over-asking, but also not leaving money on the table.
Save the Children Netherlands used propensity scoring to identify mid-value potential rather than relying on standard engagement segments. The result: 359 mid-level conversions in a single quarter — their highest ever — with a significant increase in supporter lifetime value.
Each example follows the same logic: use data to decide who needs attention, what kind of attention and when — then act on it.
What this means for your team
The engagement gap is not inevitable. It is a fixable problem.
The pattern across every successful case we see is the same:
Identify who is at risk using predictive scoring, not just recency or frequency.
Intervene early with the right message — often a thank you, not another ask.
Automate the process so it runs without manual effort and scales with your file.
Measure the impact by comparing outcomes for intervened vs. non-intervened supporters.
Donor churn does not have to be something you discover after the fact. The signals are already in your data. The question is whether you have the tools to see them in time.
This article is based on a joint webinar with Dotdigital featuring Rob Parkin from North West Air Ambulance.
Related articles
Find more nonprofit fundraising and data insights from the Dataro team.
