Across the nonprofit sector, fewer than half of donors give again the following year. Some of those supporters are gone for good. Many others would give again if someone asked at the right time, in the right way, for the right amount.
The hard part is knowing which ones. A lapsed donor list is usually treated as a single group that gets one "we miss you" appeal. AI changes that by using the giving history and engagement data already in your CRM to show who's most likely to come back and what's most likely to bring them back.
This guide covers what counts as a lapsed donor, how to segment your list, and five practical ways to use AI to win back lapsed donors, including a sample win-back email you can adapt.
In This Guide
- What is a lapsed donor?
- Why winning back lapsed donors matters now
- Segment your lapsed donor list first
- 1. Score lapsed donors by likelihood to return
- 2. Personalize win-back appeals with each donor's history
- 3. Set ask amounts from past giving
- 4. Choose the right channel and timing
- 5. Trigger outreach when a lapsed donor re-engages
- How Soapbox Engage helps you win back and keep donors
- Lapsed donor FAQ
Soapbox Engage Donations records gifts in your CRM the moment they happen, so lapsed donor lists stay current.
What Is a Lapsed Donor?
A lapsed donor is someone who has given to your organization before but hasn't given within your expected giving window, usually the last 12 months. Fundraisers often sort lapsed donors with two reports:
Set your own definition based on how your donors give. An organization whose supporters give once a year at year-end might call a donor lapsed at 13 months. One with many monthly donors might flag a recurring donor whose gifts stopped for 60 days.
Why Winning Back Lapsed Donors Matters Now
The donor pool is shrinking. The Fundraising Effectiveness Project's 2025 results, released by GivingTuesday and the AFP Foundation for Philanthropy in April 2026, found that "the number of donors declined by 3.6% (±0.5%), continuing a downward trend that began in 2021." Overall donor retention "edged up from 43.1% to 43.3%," which still means most donors didn't give again the following year.
Source: Fundraising Effectiveness Project, 2025 results (April 2026).
GivingTuesday's chief data officer, Woodrow Rosenbaum, summed it up: "we are serving fewer donors for the fifth consecutive year." When fewer new donors are coming in, the supporters who already gave once are some of the best prospects you have. They know your work, and you already have their history.
Segment Your Lapsed Donor List First
AI works best on a list that's already split into sensible groups. Start with recency and past giving, then let the strategies below rank donors within each group.
| Segment | Who's in it | Suggested approach |
|---|---|---|
| Recently lapsed | LYBUNT donors, 13 to 24 months since last gift | Personal outreach for higher-value donors; a warm, specific appeal for the rest |
| Lapsed recurring | Monthly donors whose gifts stopped, often from an expired card | A quick update-your-payment message before any new ask |
| Mid-term lapsed | SYBUNT donors, 2 to 4 years since last gift | Impact updates and a lower-commitment ask, prioritized by score |
| Long lapsed | 5+ years since last gift | Low-cost channels only, or an invitation to an event before any ask |
| Event-only donors | Gave through a ticket, auction win, or paddle raise but never a direct gift | A thank-you that connects their event gift to outcomes, then a direct ask |
Event-only donors are easy to miss if your event platform and donation records live in different systems. If they sync to the same CRM, they show up in your lapsed reports like any other donor. Our post-event follow-up playbook covers how to keep event donors from lapsing in the first place.
1. Score Lapsed Donors by Likelihood to Return
Not every lapsed donor is equally likely to give again. Predictive scoring ranks each donor using signals already in their record, so your team knows who to contact first. Common inputs include:
- Recency: how long since the last gift
- Frequency: how many times they've given
- Monetary value: largest and average gift
- Engagement: email opens and clicks, event attendance, volunteering
This is the classic RFM model (recency, frequency, monetary) plus engagement. AI tools add value by weighting those signals based on which past lapsed donors in your own file came back, rather than using the same formula for every organization.
A score is only as good as the record behind it. When donations, event registrations, and auction activity all write to the same Contact record in Salesforce or Microsoft Dynamics, a report on recency, frequency, and engagement turns a flat lapsed donor list into a ranked one.
2. Personalize Win-Back Appeals With Each Donor's History
A generic "we miss you" email rarely brings a donor back. A message that names their last gift, the program it supported, or the event they attended reads like it came from someone who remembers them. AI can draft that first version from the donor's record. Your team still edits it, checks the facts, and decides what goes out.
| Element | Generic | Personalized |
|---|---|---|
| Opening | "Dear Friend" | The donor's name and a reference to their last gift |
| Content | A broad organizational update | An impact story from the program the donor last supported |
| Ask | A standard gift string | An amount based on the donor's own giving history |
| Closing | A standard sign-off | A thank-you that acknowledges how long they've been involved |
Here's a sample win-back email you can use as a starting point, or as an example to give an AI tool along with a donor's record.
[First name], here's what your [year] gift started
Hi [first name],
In [month, year], you gave [$ amount] to support [program]. I wanted you to know what happened next: [one specific outcome, e.g., the reading program you helped fund now serves 40 more students].
We're working to [current goal for the same program], and I'd love to have you with us again. Would you consider a gift of [$ ask based on history] this [season]?
[Donate button or link]
Thank you for being part of this,
[Name, title]
Check before you send: Personalization depends on accurate data. A draft that names the wrong program or gift amount does more harm than a generic appeal. Have a staff member review each AI-drafted message, especially for higher-value donors.
If your win-back appeal is going out with year-end mail, our nine year-end appeal email templates include messages you can adapt for lapsed donors.
3. Set Ask Amounts From Past Giving
An ask that's too high can end the conversation before it starts. One that's too low leaves money on the table with a donor who's ready to give more. AI-suggested ask amounts use each donor's giving history, engagement level, and any capacity information you hold to suggest a range for that person, rather than one gift string for the whole list.
For many lapsed donors, a reasonable starting point is at or slightly below their last gift. The goal of the first win-back gift is to restart the relationship. You can work on upgrading once they're giving again, for example by inviting them to become monthly donors.
Largest gift, average gift, and last gift amount are usually already stored on the donor's record. A suggested ask range built from that history is a reporting exercise on data you already have, not a new data collection project.
Soapbox Engage Donations updates expired cards automatically, so fewer monthly donors lapse by accident.
4. Choose the Right Channel and Timing
The right message sent through the wrong channel, or at the wrong time, can still go unanswered. AI can help with three decisions:
- Channel: whether a donor has historically responded to mail, email, text, or a phone call
- Timing: the times of year and days of the week a donor has given or engaged before
- Cadence: spacing outreach so a lapsed donor doesn't get the same appeal through three channels in one week
Timing matters especially for donors who used to give at a predictable moment, such as year-end or Giving Tuesday. Reaching them a few weeks before that moment gives the appeal a natural reason to land. Our Giving Tuesday 2026 planning guide covers that window.
5. Trigger Outreach When a Lapsed Donor Re-Engages
Lapsed donors often show renewed interest before they give again. They open an email, register for an event, sign a petition, or make a small purchase. Those signals are easy to miss when no one is watching for them. Behavioral triggers flag the activity so your team can follow up while interest is still warm, either with an automated message or a personal note from a staff member.
When event registrations, form submissions, and gifts sync to your CRM as they happen, a new registration from a lapsed donor can trigger an automated alert to a gift officer, for example through a Salesforce Flow. The team catches the moment instead of finding it in a report weeks later.
Close the data gap first: These five approaches depend on giving history, event attendance, and engagement data living in the same place. AI can only score, draft, and trigger from the data it can see. If your donation forms, event platform, and appeals write to different systems, connecting them is the first project.
For a closer look at what AI-ready donor data requires, read Is Your Donor Data Ready for AI-Powered Fundraising? For campaign-level tactics beyond AI, see how to re-engage lapsed donors during fundraising campaigns. And if this has you thinking about prioritization more broadly, using CRM data to find major gift prospects applies the same scoring logic to prospect research.
How Soapbox Engage Helps You Win Back and Keep Donors
Each strategy above depends on two things: current, complete donor records, and a giving experience that makes it easy for a returning donor to give again and keep giving. Soapbox Engage Donations is built for both. It integrates with Salesforce (NPSP and Nonprofit Cloud) and Microsoft Dynamics, and it:
- Creates records the moment a gift happens. Donations create Contacts, Opportunities, and Campaign Members in Salesforce with no batching or exports, so your lapsed donor reports, scores, and Flows work from today's data.
- Attributes each gift to its campaign, so you can see what your win-back appeal raised and compare it with your other appeals.
- Updates expired credit cards automatically, which reduces the failed payments that turn monthly donors into lapsed ones without anyone deciding to stop.
- Invites returning donors to give monthly with a recurring upsell on the donation form. See how recurring upsells work.
- Lets donors choose a designation, so a returning donor can give to the same program they supported before. Our post on donation designations explains the setup.
Event giving lands in the same place. When you also use Soapbox Engage Events and Soapbox Engage Auctions, registrations, auction wins, and paddle raise gifts sync to the same CRM, so event-only donors show up in your lapsed reports instead of hiding in a separate system.
The fastest way to see whether this fits your team is a short demo. We'll walk through how a gift moves from your donation form into the donor's record and how that record feeds the reports your team uses for lapsed donor outreach.
Lapsed Donor FAQ
What is a lapsed donor?
A lapsed donor has given to your organization at least once but hasn't given within your expected giving window, usually the past 12 months. Many organizations track them with LYBUNT and SYBUNT reports.
What do LYBUNT and SYBUNT mean?
LYBUNT stands for "Last Year But Unfortunately Not This," meaning donors who gave last year but not yet this year. SYBUNT stands for "Some Year But Unfortunately Not This," meaning donors who gave in some earlier year but not this year.
How do you win back lapsed donors?
Segment them by how recently they gave and how much, prioritize the donors most likely to return, and send personal appeals that reference their history and show what their past gifts made possible. Ask for an amount based on their own giving, and follow up quickly when they show renewed interest.
Can AI predict which donors will lapse?
The same signals used to score lapsed donors, such as declining engagement or a longer gap between gifts, can flag current donors at risk of lapsing. Catching them early is usually easier than winning them back later.
Do I need new software to use AI for lapsed donor recovery?
Not necessarily. Each approach here depends on data most nonprofits already collect: gift history, event attendance, and engagement. The requirement is that the data lives in one place your team and your tools can use. If your donation forms and event tools don't sync to your CRM today, that's usually the piece worth changing first.
Will AI-personalized appeals feel automated to donors?
They can if a draft goes out unedited. Use AI for a starting point that references real donor history, then have a staff member review it, adjust the tone, and add context before it's sent.
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Soapbox Engage Donations keeps giving history current in your CRM, so lapsed donor lists stay accurate.
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