TL;DR
- The time a CRM cleanup takes depends on volume, match certainty, review and sign-off.
- Counting duplicates per object first gives the plan a real starting point.
- Obvious duplicates can be merged in bulk, while unclear matches need a person's review.
- Sign-off and input from other teams belong in the timeline from the start.
- Dedupely shows duplicate counts after its first sync and bulk merges the duplicates you're sure of.
Someone asks how long the CRM cleanup will take, and the short answer is that it depends. That answer doesn't help when a migration, a renewal or a new tool has a date attached.
A cleanup's length comes from a few things you can see in advance. They include how many duplicates there are, how sure you can be about them and how many people need to agree.
In this post, you'll see what drives the timeline, where the time goes in each phase and how to estimate your own. You'll also see how to plan when there's a deadline.
What drives the timeline
Database size is the number people ask about first. It matters, but it's one of several drivers.
How many duplicates there are
More records take longer to sync and scan, and more duplicates mean more merges. Yet a large set of easy duplicates can move faster than a small, messy one.
How certain the matches are
Exact matches on email or domain can be merged in bulk once the rules are tested. Near matches, like a similar name at the same company, need a person to look. The share of uncertain matches shapes the review time more than the total count.
How many objects and teams are involved
Each object needs its own searches and rules. Each team that uses the records may need a say in what counts as a duplicate, since that's case by case.
Sign-off and waiting on others
Approvals, security reviews and technical access, such as API permissions or a sandbox, add calendar time that has nothing to do with merging. Put them in the plan from day one.
| Driver | Speeds the cleanup up | Slows it down |
|---|---|---|
| Volume | Clear criteria that hold across thousands of records | Many small groups that each need their own criteria |
| Certainty | Exact matches on email or domain | Records that share only a name |
| Objects and teams | One object, one team that decides | Several objects, several teams with a stake |
| Sign-off | One approver, agreed in advance | Reviews and access requests that start late |
Where the time goes, phase by phase
Connect and measure
If a tool connects to your CRM, its first sync can take minutes for a small database and hours for a large one. Once it's done, count duplicates per object. Our post on how to find out how many duplicates your CRM has shows how to read that count.
Agree on definitions and rules
Decide what counts as a duplicate for each object and which value wins in a merge. This phase is mostly conversations, and it's easy to underestimate.
Test on a sample
Preview the result for a few sets that represent your edge cases. Before the first large merge, back up what you'll merge, as covered in how to back up your CRM before a large merge.
Merge in stages
Start with the obvious duplicates and merge them in bulk. Then work through the review list. Reject a match only when you're certain, since it won't come back in later results.
Check and sign off
Open a sample of merged records, compare counts before and after, and get the approval you planned for.
How to estimate your own timeline
Split your duplicate count into two groups: matches you'll merge in bulk, and matches that need review. The first group takes little time once the rules are tested. The second group is where the hours go.
For the review group, estimate minutes per duplicate and multiply. Our post on making the case for a CRM cleanup walks through that formula.
Then add the calendar time you can't control: sync, conversations with other teams, approvals and access requests.
Planning a cleanup around a deadline
Some cleanups have a date attached, set by something else: a migration, a new integration, a contract.
Work backward from the date. Put sign-off last, testing before it and the first sync at the start, then see how much time is left for merging and review.
If the time doesn't fit, narrow the scope. Clean the objects the project depends on first, and leave the rest for after. For a migration, our guide on deduplicating before, during and after a CRM migration covers what to do at each stage.
How Dedupely helps you size and run a cleanup on time
Dedupely's initial sync duration depends on record volume, fields and CRM API limits. Syncing alone does not merge or edit your CRM records. Use each search's match and record counts to size the job, then time a reviewed sample for merging and manual decisions. Keep API delays, sign-off and uncertain matches in the estimate.
A timeline built on what you can see
A cleanup's length is easier to predict than it seems. The count of duplicates, the share you can merge with certainty and the people who must agree tell you a lot.
Measure first, merge the obvious duplicates in bulk and give review and sign-off their own place in the plan. When there's a deadline, narrow the scope instead of rushing the decisions.
Frequently asked questions
How long does a CRM data cleanup take?
It depends on how many duplicates there are, how certain the matches are and how many people need to agree. Exact matches can be merged in bulk quickly once rules are tested, while review, approvals and access requests often set the timeline. Count duplicates per object first to estimate yours.
How long does it take to merge duplicates by hand?
Each duplicate takes a few minutes by hand: comparing records, choosing values, merging and checking the result. Multiply your minutes per duplicate by the number that need review, using more minutes for harder cases. For large counts, bulk merging the obvious duplicates cuts the hours.
What slows down a CRM cleanup?
Uncertain matches that need a person to review, several teams that must agree on what counts as a duplicate, and approvals that start late. Waiting on technical access, such as API permissions or a sandbox, adds calendar time too. Clear rules and early requests keep the work moving.
How do you plan a CRM cleanup with a deadline?
Work backward from the date: sign-off last, testing before it and the first sync at the start. See how much time remains for merging and review. If it doesn't fit, clean the objects the project depends on first and leave the rest for after the deadline.
Should you clean the whole CRM at once?
Not necessarily. Cleaning in stages often works better: the obvious duplicates first, then the matches that need review, one object at a time. Staging makes each merge easier to check and lets you meet a deadline for the objects that matter most, while the rest follows later.
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