CRM data clean-up checklist
A CRM data clean-up checklist for B2B sales teams: duplicates, dead contacts, stale deals, stage hygiene, owners, missing fields and open quotes and samples.
By the PromptLab team16 October 20265 min read
Every CRM gets messy. Reps leave, deals die without being closed, the same customer is entered twice and a field that mattered in 2023 is now blank on half the records. The result is a forecast nobody believes and a team that stops trusting the system, which makes the mess worse.
A clean-up does not have to be a big project. Run this checklist once to reset, then repeat a lighter version every quarter. Do the reset before you change tools, too: moving a dirty CRM only moves the dirt. And if the real problem is that reps don't enter data, start with how to get reps to use the CRM.
Prepare before you delete anything
Most clean-up regrets come from deleting in a hurry. Take a copy, set rules and agree who decides.
Before you start
Fix duplicates and dead contacts
Duplicates split the history of a customer across several records. Dead contacts make outreach look careless.
Duplicates and contacts
Close stale deals and fix stages
A pipeline full of dead deals makes every report wrong. This is the quickest way to make the numbers believable.
Stale deals and stages
For a deeper look at stage definitions, see what is a deal stage. The weekly routine that keeps this tidy is in the pipeline review checklist.
Assign owners and fill the gaps
An unowned record is a record nobody is responsible for. A blank field is a report you can't run.
Owners and missing fields
Close open quotes and samples
In product sales, a quote or a sample left open is a hidden deal, or a hidden cost. These get missed because they sit outside the usual pipeline view.
Quotes and samples
The items people skip
- The backup. It takes five minutes and saves a bad week.
- Past close dates. They are the single easiest way to inflate a forecast.
- Samples without feedback. The shipment gets logged and the answer never does.
- Leavers' records. Accounts owned by someone who left months ago are where customers get forgotten.
- Writing the rules down. Without them the next clean-up starts from scratch.
Frequently asked questions
How often should I clean my CRM data?
Run a full reset once, then a lighter pass every quarter. The weekly pipeline review should catch most stale deals before they pile up.
What is the first thing to clean in a CRM?
Deals. Closing dead deals and fixing past close dates changes the numbers fastest, and it shows the team that the data is being taken seriously.
Should I delete old contacts or archive them?
Archive or mark them inactive where you can, and delete only when you must, for example on a request to erase personal data. History is often useful when a former customer returns.
How do I find duplicate accounts?
Sort by name and look for near matches, then check shared website domains and phone numbers. Merge by hand in small batches, keeping the record with the most history.
How do I stop the data getting messy again?
Give every record an owner, make the few fields your reports need required in your process and review stale deals weekly. See how to run a pipeline review.