TL;DR
- The argument that convinces leadership to fund a CRM cleanup differs by company.
- Checking and merging one duplicate record by hand takes around 4 minutes.
- Multiply duplicate records by 4 minutes and divide by 60 to get manual cleanup hours.
- A duplicate count holds up once the team agrees on what counts as a duplicate.
- Dedupely shows the scale of your duplicates with no setup, then previews each merge.
Many people who ask me how to get budget for a CRM cleanup already know the data is bad. They've seen the same customer three times, reports that don't add up and reps arguing over accounts. What they need is a way to explain it to someone who doesn't open the CRM every day.
There's no single argument that works for every leadership team. Some respond to cost, some to risk, some to compliance, and some don't need convincing at all.
In this post, I cover what works in each case, a formula for the cost of manual cleanup and what to bring.
What convinces leadership depends on the company
What I see: The arguments that land are different in every company. A finance-led team wants a cost, and a sales leader wants to know which accounts are at risk. A company in a regulated industry cares most about finding every record for one customer.
And sometimes leadership is already convinced. They've seen the reports, and they're waiting for a plan.
What to do: Find out which of these your leadership cares about before you build the case. Then lead with that, and keep the other arguments as backup.
Start with what a duplicate is in your CRM
What I see: A case often falls apart on one question: "How do you know these are duplicates?" If the number changes each time, nobody trusts it.
What counts as a duplicate is case by case. One team sees two branches of a company as duplicates; another keeps them apart on purpose. Two contacts sharing an info@ inbox can be one person or two.
What to do: Agree on what makes a record a duplicate in your CRM before you count your duplicates. Start with the obvious ones, usually exact matches on email for contacts or domain for companies. That gives you a floor nobody can argue with.
Put a number on cleaning by hand
What I see: Leadership often assumes a cleanup is a quick task for someone on the team. In practice, each duplicate goes through a whole process.
From what I've seen, checking one duplicate by hand takes around 4 minutes. You compare the records, decide which values to keep, merge them and check the result. Some take less, some take much more.
What to do: Turn your duplicate count into hours, then into money. The two steps below work with any count and any hourly cost.
What "duplicates" means in the formula
Count the extra records a cleanup would remove. A set of three records for one customer counts as two duplicates, since one record survives.
That keeps the number close to the work: each extra record means one more comparison and one more merge.
Step 1: hours
Hours = duplicates × 4 minutes ÷ 60.
If your duplicates are harder to judge, use a higher number of minutes. The table shows how fast the hours grow.
| Duplicates | Minutes (× 4) | Hours (÷ 60) |
|---|---|---|
| 5,000 | 20,000 | About 333 |
| 25,000 | 100,000 | About 1,667 |
| 100,000 | 400,000 | About 6,667 |
| 240,000 | 960,000 | 16,000 |
Take the last row: 240,000 duplicates × 4 minutes is 960,000 minutes, or 16,000 hours. At a 40-hour work week, that's 400 weeks of one person doing nothing else.
Step 2: cost
Cost = hours × the hourly cost of the person doing the work.
Use the full cost of that person's time, which your finance team can give you. If several people share the work, use an average.
24% of teams said they lost many hours to manual merges and spreadsheet cleanup.
Show what the cleanup avoids
What I see: For many leaders, the time estimate opens the conversation, and the problems avoided close it. Double-counted reports, reps working the same account, a higher CRM bill and a delayed migration are already in the business, so they're easy to point to.
What to do: Pick two or three examples from your own CRM. A real customer counted three times is more convincing than any average.
When compliance is the argument
What I see: In some companies, the deciding argument is a compliance process. When a customer asks to see their data, or to be removed, every duplicate is one more record someone has to find.
The same goes for email consent. If one record opted out and its duplicate didn't, the customer can keep getting emails they asked to stop.
What to do: If your company has a compliance or legal team, ask what they need from the CRM. Their requirements can carry more weight than any cost estimate.
When leadership worries about the risk
What I see: Sometimes leadership agrees on the problem and still says no, because merging feels risky. In many CRMs, merges can't be undone, and nobody wants to be the person who lost a key account's history.
What to do: Show how you'll control the risk. Start with exact matches and preview merges before they happen. Keep a record of the original values, and send unclear matches to a person for review.
A plan with clear steps is often what turns a "maybe later" into a yes.
What to bring to the meeting
Keep it short. A one-page case often does more than a long deck:
- Your definition of a duplicate, in one or two sentences.
- The duplicate count for each object, starting with the obvious duplicates.
- The manual estimate in hours, and the cost if you have an hourly figure.
- Two or three real examples of problems duplicates have caused.
- How you'll control the risk, and what you'll merge first.
- What keeps new duplicates out once the backlog is clean.
How Dedupely helps you size and run the cleanup
Dedupely's first scan shows how many duplicates it finds in your contacts, companies and leads, with no match settings. For the number you bring to leadership, build duplicate searches that follow your own definition. Then set rules for which value wins and preview each merge.
A case leadership can check
The strongest case for a cleanup is one leadership can check. That means an agreed definition of a duplicate, a count built on it and a formula anyone can rerun.
From there, what wins the decision depends on the company: hours saved, problems avoided, compliance or a plan that makes merging feel safe. Lead with whichever one your leadership cares about most.
Frequently asked questions
How do I convince leadership to invest in CRM data cleanup?
Find out what your leadership cares about first: cost, avoided problems, compliance or risk. Then bring a duplicate count based on an agreed definition and an estimate of manual cleanup time. Add two or three real examples of problems duplicates caused, and a plan for controlling the risk of merging.
How long does it take to merge duplicates by hand?
In my experience, around 4 minutes per duplicate is a reasonable estimate. Each one means comparing records, deciding which values to keep, merging and checking the result. At that pace, 5,000 duplicates take about 333 hours of work, and 240,000 duplicates take 16,000 hours.
How do you calculate the ROI of CRM deduplication?
Start with the cost of doing it by hand. Multiply your duplicate count by the minutes per duplicate, divide by 60, then multiply by an hourly cost. Then add what the cleanup avoids, such as double-counted reports and disputed accounts.
What are the risks of a CRM cleanup?
The main risk is merging records that aren't duplicates, or losing values that mattered, since merges in many CRMs can't be undone. You can reduce it by starting with exact matches and previewing merges. Keeping a record of the original values and reviewing unclear matches by hand helps too.
Do I need to know how many duplicates I have before asking for budget?
It helps a lot, because a count makes the case easier to check. Agree first on what counts as a duplicate in your CRM, then count the obvious ones, like exact email or domain matches. That number is a floor: looser criteria often find more, but nobody will argue with the floor.
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