Your team has spent weeks preparing a fundraising campaign. You’ve selected the audience, written the message, and built the outreach schedule.

But before the first email goes out or the first call begins, there’s a question worth asking:

How many people on this list can we actually reach?

Not how many records you exported from your CRM. How many people have usable contact information, can appropriately receive the intended message, and are ready for your team to contact?

Those are different numbers.

This is why I think CRM data cleansing should be part of campaign preparation, not just another database maintenance project.

A good campaign needs more than the right message. It needs a reliable way to reach the right people. And for small fundraising and advancement teams, fixing contact problems before launch can save hours of unnecessary work.

In this post, I’m going to cover:

• What CRM data cleansing means for outreach

• Why inaccurate contact data is a bigger problem than you might think

• Four questions that determine whether a contact is campaign-ready

• A practical CRM data cleansing checklist

• The difference between cleansing, validation, and enrichment

• How EverRaise helps teams prepare cleaner outreach lists

Let’s dig in.

What Is CRM Data Cleansing?

CRM data cleansing is the process of identifying and correcting inaccurate, outdated, incomplete, inconsistent, or duplicate information in a customer relationship management system.

For outreach campaigns, this usually involves checking phone numbers, email addresses, duplicate records, and communication preferences before contacting supporters.

Here’s the distinction I would make.

Your CRM tells you who is in your database. A campaign-ready list tells you who you can appropriately reach through a specific channel.

Those aren’t necessarily the same thing.

Your CRM might contain 20,000 donor records. But some donors have disconnected numbers. Others have outdated email addresses. Some have duplicate records or have asked not to receive certain communications.

The goal of CRM data cleansing isn’t to make every field perfect before your next campaign. It’s to identify the problems that could prevent your team from reaching the intended audience.

For a broader look at keeping supporter records accurate over time, see our guide to nonprofit data hygiene.

Why Bad Contact Data Costs More Than You Think

The problem isn’t theoretical.

According to M+R’s 2026 Benchmarks, 4% of nonprofit email subscribers at the beginning of 2025 became unreachable because of bounces during the year. Another 12% were lost through unsubscribes.

These represent different problems. One concerns whether an address works. The other concerns whether the supporter wants to receive messages.

Both affect the number of people your team can reach.

Consider what happened at the Marine Corps Scholarship Foundation.

Before two important fundraising dates, the organization identified email deliverability problems that threatened its ability to connect with donors.

According to a case study published by Data Axle, the foundation worked with the company to clean and assess more than 200,000 email records. The process identified over 180,000 verified addresses and provided information the organization could use to make better campaign decisions.

The work was completed in 24 hours.

Those figures come from the vendor’s account of the project, not an independent evaluation. Still, the operational lesson is useful.

The foundation didn’t simply send another email and hope for better results. It examined its contact data before the campaign and used that information to improve its approach.

That’s what I’d encourage your team to do.

Don’t automatically assume poor results mean your message didn’t work. First, determine whether your audience had a reasonable opportunity to receive it.

Four Questions That Determine Whether a Contact Is Ready for Outreach

I recommend evaluating outreach lists through four questions.

Think of these as checkpoints every contact should pass before joining a campaign.

1. Do we know who this person is?

Start with identity.

Does the record represent the right person? Are there duplicates? Is the phone number or email address associated with the intended supporter?

For example, an alum might appear in your CRM under a maiden name and married name. If those records aren’t connected, that person could receive the same event invitation twice.

But merging records without reviewing them creates another problem. You could combine the giving histories of two different people.

Start by reviewing likely matches using more than one identifying field. Preserve relationship history and communication preferences when resolving confirmed duplicates.

2. Can we reach them through this channel?

A phone number can be correctly formatted and still be disconnected. An email address can look valid but no longer accept messages.

That’s why formatting and validation are different.

For example, Twilio’s phone number documentation distinguishes basic number validation from additional checks such as line type and status.

The important question is whether the checks you run actually tell you what you need to know for your intended channel.

Don’t assume a valid phone number is reachable by SMS or that an email address is deliverable simply because it contains an @ symbol.

3. Are we permitted to contact them?

A working contact method is not automatically an authorized contact method.

Your team should review relevant opt-outs, communication preferences, consent records, and other legal or organizational requirements.

The rules can differ depending on whether you’re sending email, SMS, or voice calls, as well as the purpose of the message and applicable jurisdiction.

For example, the Federal Trade Commission’s CAN-SPAM guidance explains the requirements for applicable commercial email, including honoring opt-out requests.

Keep permission checks separate from technical validation.

4. Do we know what happens if they respond?

This last question goes beyond data cleansing, but it matters when deciding whether a campaign is ready.

Suppose you’re calling lapsed donors to invite them to reconnect with your organization.

What happens if someone requests a conversation with a staff member? Who follows up? Where does the response get recorded?

A clean list helps you reach supporters. A clear follow-up process helps your team do something meaningful with the conversation.

That’s the outcome worth pursuing.

How to Clean Your CRM Data Before a Campaign

You don’t need a months-long database project to improve your next campaign.

Here’s the six-step process I would use.

Step 1: Build a campaign-specific list

Start with the exact audience you want to reach.

For example, you might select donors who gave last year but haven’t given this year, or alumni who live within driving distance of an upcoming reunion.

Export the information needed for that campaign, including a unique CRM record ID, relevant contact details, and communication preferences.

Preserve the original export before making changes.

Step 2: Check for duplicate records

Identify likely duplicates using names, email addresses, phone numbers, and CRM identifiers.

Review uncertain matches instead of automatically combining them.

Where records are confirmed duplicates, follow your CRM’s procedures for preserving giving history, notes, and communication preferences.

Step 3: Validate the contact information

Check the contact information you actually plan to use.

For email, examine formatting, available validation results, and previous hard bounces.

For phone outreach, review number validity and any additional channel-specific information your validation service provides.

Set aside records that fail the necessary checks or return uncertain results.

Don’t delete entire supporter records simply because one contact method is unusable.

Step 4: Apply communication exclusions

Before finalizing the audience, apply the relevant consent, unsubscribe, and do-not-contact requirements.

Check all systems where those preferences may be stored.

This is especially important if your CRM, email platform, and outreach tools don’t share updates automatically.

Step 5: Separate the results into three groups

I recommend keeping the decision simple.

Status | What it means | Action

Ready | Contact passes the required checks for the intended outreach | Include in campaign

Review | Contact details or permissions need clarification | Hold until resolved

Exclude | The intended outreach is invalid, unsuitable, or not permitted | Suppress from campaign

This distinction prevents your team from treating every questionable record the same way.

An invalid email might mean trying another appropriately permitted channel. An unsubscribe request might mean the person should be excluded from the intended email campaign.

Those require different responses.

Step 6: Test the audience and update your CRM

Before launching, review a small sample of records to confirm that your selection rules, contact information, and exclusions are working as expected.

After outreach, capture useful corrections, failed-contact information, and updated communication preferences.

Make sure those changes reach your CRM or designated system of record.

Otherwise, your team may fix the same problems again before the next campaign.

Measure Your Contact List’s Readiness, Not Just Its Size

Here’s a practical exercise.

Imagine your nonprofit exports 2,000 records for an email campaign.

After reviewing the audience, you discover:

Campaign list review | Contacts remaining

Initial CRM export | 2,000

After resolving 80 duplicate entries | 1,920

After excluding 220 contacts without usable email addresses | 1,700

After applying 140 relevant communication exclusions | 1,560

Illustrative example. Each category is applied sequentially to avoid double-counting.

You started with 2,000 records, but the prepared audience contains 1,560 contacts.

That’s 78% of the original export.

The remaining 440 entries aren’t necessarily lost supporters. Some represent duplicates. Others need corrected information or must be excluded from this communication.

This illustrates why I would track campaign-ready contacts, not just total CRM records.

I’d also monitor three additional measures:

• Invalid-contact rate: The share of contacts that fail the required contact-quality checks.

• Review rate: The share of records held because information is uncertain or incomplete.

• Failed-contact rate: The share of attempted outreach that encounters an invalid or unreachable destination, based on available delivery results.

Over time, compare these measures by campaign and channel.

If invalid-contact rates are consistently high for one audience, that may point to a problem with how information enters your CRM.

If failed-contact rates improve after validation, you have evidence that your cleanup process may be helping.

That gives your team something specific to improve instead of guessing.

CRM Data Cleansing Checklist

Before your next campaign, confirm the following:

☐ The audience and intended communication channels are clearly defined.

☐ The original list is backed up, with CRM IDs preserved.

☐ Duplicate records have been identified and reviewed.

☐ Email addresses have been checked for validity and known delivery problems.

☐ Phone numbers have been validated for the intended outreach.

☐ Relevant opt-outs, consent requirements, and communication preferences have been applied.

☐ Contacts are marked ready, needing review, or excluded.

☐ A sample of the final list has been checked.

☐ Staff know how to handle replies and requests for follow-up.

☐ Contact corrections and campaign results have a path back to the CRM.

You can use this checklist whether your organization has a few hundred supporters or hundreds of thousands.

CRM Data Cleansing vs. Validation vs. Enrichment

One final distinction is worth making because these services are often confused.

Process | Purpose | Example

Data cleansing | Correct existing information | Fix duplicates or inconsistent records

Data validation | Assess whether information is usable | Check email and phone quality

Data enrichment | Add information from other sources | Find an updated email address

I would prioritize cleansing and validation before enrichment when preparing an existing outreach list.

Adding more information doesn’t necessarily make your data better. It may introduce new errors, uncertain matches, or additional privacy considerations.

Start by understanding what you already have.

Then decide whether missing or outdated contact information justifies seeking an update.

What if validation identifies someone you can’t reach?

This is where your team may need a different approach.

Stanford University’s Alumni Association offers a useful example.

For its 2024 Reunion Homecoming campaign, Stanford identified more than 3,100 alumni it could not reach by email.

Rather than treating those alumni as permanently unreachable, it used personalized postcards and online forms to invite them to reconnect.

According to its 2025 CASE award submission, the effort led to 316 alumni updating their email permissions and 130 reunion registrations.

The lesson is straightforward.

An unusable email address doesn’t mean the relationship is over. It means you need better information or another appropriate way to reconnect.

Validation identifies the problem. Your team decides what to do next.

How EverRaise Helps You Prepare Cleaner Outreach Lists

I think one of the biggest challenges for small teams is that data cleansing often happens too late.

The campaign is ready. The deadline is approaching. And someone realizes the contact list needs work.

That’s one reason we built EverRaise Data Validation.

EverRaise is an AI engagement assistant for relationship-driven organizations. It helps teams build better campaigns, reach more people, and maintain consistent follow-up without adding more manual work.

Data Validation supports a specific part of that process.

Your team can select or upload a contact list, check phone and email quality, identify records that need attention, and prepare a cleaner audience before launching voice, SMS, or email outreach.

It also helps teams see where contact-quality issues may have affected campaign performance.

EverRaise doesn’t replace your CRM, your organization’s communication policies, or your team’s judgment. It supports the work that needs to happen between deciding whom to engage and launching the campaign.

The goal isn’t simply to send more messages.

It’s to give your team a better opportunity to reach the people who matter to your mission.

Better Data Creates More Opportunities for Engagement

Here’s what I want you to remember.

A contact record is not the same as a relationship. And a large CRM export is not necessarily a reliable outreach audience.

Before your next campaign, take time to review the people you intend to contact, the channels you plan to use, and the information you have available.

Find the duplicates. Validate the contact details. Honor communication preferences. Set aside records that need attention.

Then use what you’ve learned to improve your next campaign.

Because the point of cleaner data isn’t cleaner data.

It’s helping your team stay connected to more of the people who care about your work.

Want to give your next campaign a cleaner list?

Explore EverRaise Data Validation to see how your team can identify contact issues, reduce wasted outreach, and prepare more reliable voice, SMS, and email campaigns.