Imagine your nonprofit finishes the year with 10% more revenue than the year before.

That’s good news. But does it mean your fundraising program is healthier?

Not necessarily.

What if the growth came from a handful of large gifts while your number of donors declined? What if your acquisition campaigns brought in hundreds of new donors who never gave again? Or what if the channel you thought was your least effective actually produced your most valuable long-term supporters?

Your fundraising data should help answer those questions.

Most nonprofits have plenty of information about donors, gifts, campaigns, and communications. The challenge is knowing which numbers matter, what they reveal, and what your team should do differently.

I believe fundraising data becomes valuable when it changes a decision.

And those decisions should go beyond how much money you raised this month.

In this post, I’m going to cover:

• What fundraising data includes

• Eight metrics every fundraising team should understand

• How to calculate donor lifetime value and acquisition cost

• What research from Masterworks and other organizations reveals

• How to turn fundraising data into better decisions

• Where EverRaise fits

What Is Fundraising Data?

Fundraising data is information about donors, gifts, campaigns, costs, engagement, and relationships that helps nonprofits understand fundraising performance and make better decisions.

It includes gift amounts and campaign results, as well as donor retention, acquisition costs, recurring giving, communication preferences, and long-term donor value.

The purpose is not simply to collect information or produce reports.

Your fundraising data should help you answer three questions:

• What is happening in our fundraising program?

• Why might it be happening?

• What should we do differently?

A dashboard can tell you that revenue increased. Good analysis helps you understand whether the growth is sustainable and what contributed to it.

Why Total Revenue Doesn’t Tell the Whole Story

The Fundraising Effectiveness Project’s 2025 results reveal an important distinction.

Total charitable dollars increased an estimated 5.0%, but the number of donors declined 3.6%. Overall donor retention was 43.3%.

Much of the revenue growth came from larger gifts.

That means nonprofits collectively raised more money while relying on a smaller base of supporters.

Revenue growth matters. But donor participation, retention, and long-term value matter too.

A healthy fundraising program needs to understand both.

Eight Fundraising Metrics Worth Tracking

I would organize your fundraising reporting around eight measures.

You don’t need an elaborate dashboard to begin. But you should understand what these metrics tell you and how they influence your decisions.

1. Donor Retention Rate

Donor retention rate measures the percentage of donors who give again during a defined period.

The basic formula is:

Donor retention rate = Returning donors ÷ Prior-period donors × 100

If 1,000 donors gave last year and 450 of those donors gave again this year, retention is 45%.

But don’t stop at the overall number.

Separate first-time donors from repeat donors. Look at retention among monthly donors, mid-level donors, and supporters acquired through different channels.

The M+R Benchmarks 2026 study illustrates why these distinctions matter.

Among the online one-time donors studied, 24% of donors classified as new in 2024 gave again in 2025. Retention among established prior donors was 66%.

Those figures measure specific online donor groups, not the entire nonprofit sector.

But they demonstrate why a single blended retention rate can hide very different donor experiences.

What to do with this data: Identify which donor groups are losing the most supporters and evaluate what happens between the first gift and the next expected gift.

For a more detailed explanation, see our guide to calculating donor retention rate.

2. Donor Lifetime Value (LTV)

This is one of the most useful fundraising metrics, and one that deserves more attention.

Donor lifetime value is the total giving a donor contributes, or is expected to contribute, over the course of their relationship with an organization.

Why does it matter?

Because two donors who each make an initial $50 gift may have very different long-term giving histories.

One gives once and never returns. Another gives several times a year for five years.

If you judge both relationships by the first gift, they look identical.

They aren’t.

Masterworks emphasizes donor long-term value when evaluating acquisition and retention investments. Rather than focusing only on the first transaction, its approach considers giving over several years.

A useful way to begin is with a five-year donor cohort.

Take everyone acquired during a particular year, total their giving during their first five years, and divide by the original number of donors acquired.

Five-year cohort LTV = Total five-year giving from an acquisition cohort ÷ Number of donors originally acquired

Include donors who never gave again in that original denominator.

For example, suppose you acquired 200 donors in 2021. Over their first five years, that original group contributed a combined $60,000.

Their observed five-year LTV would be $300 per acquired donor.

That number is different from the lifetime giving already recorded on an individual donor’s CRM profile. It is also different from a projection of future donor value.

For newer cohorts, you will need a forecast based on historical retention and giving patterns because five years have not yet passed.

You should also distinguish gross giving from net donor value after acquisition and stewardship costs.

What to do with this data: Compare long-term value across acquisition channels, first-gift amounts, donor groups, and campaigns. Look for patterns that help you invest in relationships likely to remain productive over time.

3. Donor Acquisition Cost and Long-Term ROI

Knowing what it costs to acquire a donor is important.

Knowing what those donors contribute over time matters even more.

Donor acquisition cost (DAC) = Acquisition expenses ÷ New donors acquired

Suppose you spend $10,000 to acquire 200 donors. Your cost per new donor is $50.

But is that good?

You cannot answer without understanding what happens after acquisition.

Consider this hypothetical example:

These are illustrative figures, not industry benchmarks. The final row also excludes subsequent stewardship and operating costs.

Campaign A acquired donors at half the cost.

But Campaign B produced more giving over five years from the same original investment.

If you evaluated the campaigns only by acquisition cost, you might have made the wrong decision.

Masterworks makes this argument in its article on allocating donor acquisition investments. It recommends comparing channels using longer-term donor value rather than first-gift ROI alone.

What to do with this data: Calculate acquisition cost and five-year value by channel, then compare them alongside net contribution, payback period, and the cost of maintaining those relationships.

A more expensive channel initially may still be the better long-term investment.

4. Recurring Giving and Donor Attrition

Monthly giving can provide more predictable revenue, but its health requires more than tracking how many sustaining donors you acquire.

You should understand how many new monthly donors begin giving, how many remain active, how much they contribute, and why payments stop.

The M+R Benchmarks 2026 study found that 71% of sustainers in its sample remained active after their first year.

That means recurring revenue should not be treated as permanently secured simply because someone enrolled.

Masterworks has also explored the long-term economics of recurring donors. In a 2022 analysis involving ten nonprofits, it reported substantially higher five-year lifetime value among sustaining donors than traditional single-gift donors.

The precise figures were specific to that sample and should not be treated as a universal benchmark.

The broader point is that recurring giving can change the economics of donor relationships.

What to do with this data: Monitor new monthly donors, active sustainers, cancellation rates, failed payments, recovered payments, and recurring donor LTV.

A payment failure may require a service-oriented reminder. Understand and respect a cancellation rather than automatically treating it as an opportunity for repeated solicitation.

5. Giving Frequency, Upgrades, and Donor Movement

A donor’s total giving tells you something.

How their giving changes over time often tells you more.

Look at how recently someone gave, how often they give, how much they contribute, whether their gifts are increasing or decreasing, and whether they are moving into a recurring or mid-level giving relationship.

Fundraisers often refer to recency, frequency, and monetary value as RFM.

It is a useful starting point, but it shouldn’t be the entire picture.

For example, a donor who gives $100 every month may deserve different stewardship than someone who made a single $1,200 gift three years ago.

Masterworks published a 2026 analysis of early mid-level donor development that included a test of personal relationship-building.

In that example, donors assigned mid-level representatives had second-year retention of 63%, compared with 57% for the control group.

That is a reported result from a particular test, not proof that the same lift will occur everywhere.

But it illustrates why early donor engagement and gift patterns deserve attention.

What to do with this data: Identify donors showing growing interest, recurring commitment, or declining participation. Use those signals to determine who might benefit from more personal stewardship.

Remember, a donor’s value isn’t limited to their current giving amount.

6. Lapsed Donors and Reactivation

Not every donor who stops giving has stopped caring about the mission.

Some may be experiencing financial changes. Others may have shifted priorities, lost touch, or not received relevant follow-up.

Your fundraising data should help you distinguish between those situations where possible.

Track how many supporters have lapsed, when they last gave, their prior giving history, which groups are being reactivated, and whether those supporters continue giving after returning.

This last measure matters because a reactivation campaign may generate immediate gifts without creating durable relationships.

In research published in May 2026, Masterworks compared five-year lifetime value among newly acquired and reactivated donors. In the donor groups it analyzed, reactivated donors showed stronger long-term value across the gift bands examined.

That does not guarantee reactivation will outperform acquisition at every nonprofit.

It does suggest that organizations should evaluate lapsed supporters as a meaningful opportunity rather than treating the entire group as inactive records.

What to do with this data: Compare the cost, response, retention, and long-term value of reactivated donors against newly acquired donors.

Sometimes the next opportunity is already in your database.

7. Campaign Response and Engagement Data

Most nonprofits can report how many emails they sent, how many calls they made, and how many people clicked a link.

Those are useful activity measures, but they don’t always show whether a campaign advanced the relationship.

Fundraising data should also capture responses.

Did someone answer a question, complete a survey, attend an event, request information, update a preference, ask for a personal conversation, or take the intended action?

Not every meaningful donor interaction produces an immediate gift.

A supporter who requests information about a program may be expressing interest that matters later. A survey response may reveal an opportunity for more relevant communication.

What to do with this data: Define the outcome you want before launching a campaign. Then measure both activity and useful responses.

Track whether promised follow-up actually occurred.

A response that never reaches the appropriate staff member is a missed opportunity.

8. Net Fundraising Revenue and Cost Efficiency

Gross revenue tells you how much money came in.

Net fundraising revenue helps you understand what remained after the relevant fundraising costs.

Net fundraising revenue = Fundraising revenue − Associated fundraising expenses

Those expenses may include advertising, printing, postage, technology, processing fees, agency services, and appropriate staff costs.

You should also understand your cost to raise a dollar, especially when comparing programs that require very different levels of investment.

Cost to raise a dollar = Fundraising expenses ÷ Fundraising revenue.

The method matters.

Use consistent cost definitions, account for restricted gifts appropriately, and avoid comparing programs with different purposes or cost-allocation rules as though they were identical.

For example, a new-donor acquisition program may lose money on the first gift while generating valuable long-term relationships.

A major-gifts program may have high staff costs but produce substantial revenue from relatively few donors.

An event may also serve stewardship or community-building purposes that aren’t fully reflected in immediate net proceeds.

What to do with this data: Evaluate net revenue, acquisition economics, and longer-term outcomes together rather than rewarding the campaign with the lowest apparent cost.

A Real Example: Los Angeles Regional Food Bank

The Los Angeles Regional Food Bank illustrates what fundraising data can accomplish when it supports actual decisions.

According to a Blackbaud customer story, the Food Bank connected donor segmentation, fundraising intelligence, email marketing, and digital advertising through its fundraising technology.

Blackbaud reports that the organization grew annual fundraising from approximately $10 million to $35 million in normal years, with higher totals during disaster responses.

Those are vendor-reported results. The growth should not be attributed solely to the technology.

What I find more useful is how the organization applied its information.

The Food Bank used donor segmentation and prospect research to identify supporters for further cultivation, including people whose initial giving might not have suggested their eventual capacity.

Its chief development officer noted that some major donors began with gifts below $250.

That is an important lesson.

A donor’s first gift may not tell you what the relationship could become.

Your data should help your team recognize opportunities that would otherwise remain hidden.

A Simple Fundraising Data Dashboard

If I were working with a lean development team, I would start with a dashboard that connects financial results to donor relationships and staff action.

Not every nonprofit needs sophisticated donor modeling immediately.

Start with reliable definitions and consistent reporting. Build more advanced analysis as your data and staff capacity improve.

How to Turn Fundraising Data Into Action

I would use a simple five-part process.

1. Verify

Make sure the information is trustworthy.

Review duplicate records, giving history, contact information, communication preferences, and important data connections.

A poor response rate might reflect weak messaging. It might also reflect an outdated list.

Those are very different problems.

This is why nonprofit data hygiene is part of fundraising strategy, not simply database maintenance.

2. Understand

Look beyond the headline number.

If revenue grew, determine whether growth came from more donors, larger gifts, recurring giving, major gifts, or reactivated supporters.

If retention declined, identify which donor groups were affected.

If an acquisition campaign underperformed, compare both its immediate results and the longer-term value of its donors.

3. Prioritize

Decide where additional attention or investment is most likely to help.

That may mean improving first-time donor follow-up, recovering failed monthly gifts, cultivating active mid-level donors, or reconnecting with lapsed supporters.

Not every donor needs the same communication or level of staff involvement.

4. Engage

Turn the decision into a practical campaign.

Choose the audience, appropriate message, channel, and next step.

Decide how you will handle replies, questions, updated information, and requests for personal contact.

Design the campaign around what you want to learn or accomplish, not simply how many people you can reach.

5. Learn

Use the campaign’s results to improve the next decision.

Update records appropriately. Review which messages and channels produced useful responses. Make sure important follow-up reaches the right staff member.

Then examine whether those interactions lead to stronger donor relationships over time.

Data → Decision → Engagement → Response → Better Data

That is the cycle worth building.

Where EverRaise Fits

EverRaise is not a fundraising CRM or donor database.

It is an AI engagement assistant for relationship-driven organizations.

Your fundraising systems help you understand who supports your organization, what they have done, and which relationships need attention.

EverRaise helps your team use that information to build and execute approved outreach campaigns through AI voice, SMS, email, surveys, and follow-up workflows.

For example, your fundraising data may identify 500 lapsed donors with appropriate contact information and a history of supporting a particular program.

Your team can review the audience, develop a relevant message, and plan what should happen when people respond.

EverRaise’s Data Validation capabilities can help identify contact information that may need attention before outreach. Its engagement tools help coordinate channels and capture campaign responses.

Staff remains responsible for the strategy, permissions, message review, required disclosures, and donor relationships.

What We’ve Learned From One University Campaign

In one university engagement campaign, EverRaise reached 868 contacts in less than five hours.

The campaign generated 163 live answers, 116 link clicks, and more than 20 estimated hours of staff time saved. We shared those results in our September product update.

Those numbers describe one campaign, not a typical outcome or a demonstrated improvement in donor retention.

The more interesting lesson is what became possible afterward.

The organization could identify who answered, who clicked, and where further attention would help. Staff could spend less time on repetitive outreach and more time on responses that require personal judgment.

That is the distinction I would emphasize.

Your fundraising data helps identify where relationships need attention. Technology can provide capacity for appropriate engagement. People remain responsible for deepening those relationships.

The goal is not another disconnected database.

It is to help your team use the information it already has.

Frequently Asked Questions About Fundraising Data

What is the most important fundraising metric?

No single metric explains a nonprofit’s fundraising health. Revenue, donor retention, donor lifetime value, acquisition cost, and net contribution answer different questions. The most useful dashboard connects those measures so leaders can make informed investment and stewardship decisions.

How do you calculate donor lifetime value?

One practical approach is to group donors by acquisition year, total their giving over a defined period such as five years, and divide by the number of donors originally acquired. Forecasting future LTV requires assumptions about retention and future giving, and net value should account for relevant costs.

What is the difference between donor acquisition cost and donor lifetime value?

Donor acquisition cost measures how much an organization spends to acquire a new donor. Donor lifetime value estimates or measures how much that donor gives over the relationship. Comparing both helps organizations evaluate acquisition investments beyond the first gift.

What fundraising data should a small nonprofit track first?

Start with donor identities, giving history, acquisition source, donor retention, recurring giving status, basic fundraising expenses, and important communication preferences. Add more sophisticated cohort analysis and lifetime-value modeling as your data quality and operational capacity improve.

How can nonprofits use AI with fundraising data?

AI can help prepare campaign messages, assist with segmentation and analysis, support selected structured outreach, collect responses, and help staff identify follow-up needs. Human teams should remain responsible for data quality, donor relationships, appropriate use of personal information, and campaign decisions.

The Bottom Line

Fundraising data should tell you more than how much money came in.

It should help you understand which donors are staying, where new supporters come from, what those relationships cost, how giving changes over time, and where your team should invest its attention.

Start with a few reliable measures. Use them to make specific decisions. Then connect those decisions to meaningful donor engagement.

Because a dashboard is not a strategy.

The value of fundraising data is what your organization does differently because of it.

Engagement drives retention. Retention drives revenue.