CRM data cleansing before the import, with an audit trail
CRM data cleansing is easiest on the export, not inside the CRM. Pull the contacts and accounts out as a CSV, merge the duplicates, standardize the fields, and import a file you can vouch for. That way nothing changes in the live system until you approve it.
Load a messy sample and watch it work
The same engine described below, running on your own machine. Nothing is uploaded and nothing is applied until you approve it.
1. Load a file
Your file is read on your own machine. Nothing is uploaded, so nothing can leak.
Or start from a messy sample
Status
Loading the sample file.
File: CRM contact export
Rows
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Columns
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Changes
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Duplicate rows
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Date formats
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Blank or invalid emails
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Load a file to see the diff
Drop a CSV or pick one of the messy samples. Every proposed change appears here as a line you approve or reject.
2. Review every change
Nothing approved yet.
Nothing is applied to your file until you approve it, and your original file is never modified.
Proposed changes
Original Proposed
Duplicate clusters
Merge or keep both
Want this on every file, and on bigger ones?
The free try is one file of your own. The Analyst plan cleans as many files as you need, up to 25MB and about 100,000 rows each, for $59 a month or $348 a year.
3. Take the result
The cleaned CSV contains only the changes you approved. The log lists every change, approved or not.
Why the export is the right place to work
Cleaning inside a CRM means editing live records that other people are looking at, with automation and workflows firing on every change. A mistake there is visible immediately and hard to unwind.
On an export you can be careful. You see every proposed change at once, compare rows side by side, and produce a list of what will happen before it happens. That list is also what makes the change acceptable to the account owners whose records you are merging.
A migration checklist
Export contacts and accounts separately
Keep the relationship column so you can rejoin them afterwards.
Clean the fields before matching
Trimming and case folding alone will collapse a surprising number of duplicates.
Review the close matches by hand
Same email is safe to accept quickly. Close name and company matches deserve a look.
Keep the audit log
Attach it to the migration ticket. It is the answer to the first question anyone asks after go live.
Import into a sandbox first
Then compare counts before touching production.
The conversation with the sales team
Merging accounts touches ownership, quota and commission, which is why sales teams resist a cleanup they cannot see. Handing them a list of the exact merges, with the row that was kept and the reason for the match, turns an argument into a review. The matching that produces that list is fuzzy matching, grouped into records by entity resolution, and the system specific walkthroughs are Salesforce deduplication, Zoho CRM deduplication and Pipedrive duplicate contacts.
What a run on a CRM contact export returns
We exported seven contacts the way most CRMs hand them over, with first and last name, email, account, phone, state, created date and annual revenue, and ran the engine on the file. It proposed fourteen field changes and three duplicate clusters, and applied none of them until they were approved.
The field changes are the boring, high value kind: state names to codes, dates written three ways to one ISO date, revenue with dollar signs and commas to a plain number, an email re-keyed in capitals with a trailing space. The clusters are where a person earns their keep. Olivia Hart and OLIVIA HART share an email and are safe to accept. Marcus Reed at Reed Freight LLC and Reed Freight has two emails at one domain, so it is flagged. And Ben Ward at Ward HVAC and Ben Ward at Summit Roofing was proposed on the same name and email user name, flagged because the emails differ. That one should be rejected, and the review step is what lets you reject it before it reaches the CRM.
Who buys CRM data cleansing
The buyer is a RevOps or sales ops lead with a deadline: a migration from one CRM to another, a list import after a trade show, or a territory reassignment that only works if each account exists once. They are measured on whether the pipeline report is right the week after, and they need a record of every merge to show the account owners.
The Analyst plan cleans unlimited exports of up to 25MB each, and Enterprise puts the whole ops team on one invoice with a DPA and purchase orders. See pricing, or run the demo above on your own export first. If the CRM is HubSpot, the walkthrough for its merge rules is HubSpot merge contacts.
Changes and clusters from a real engine run on a CRM contact export
| Field or rows | Original | Proposed | Rule | Needs a look |
|---|---|---|---|---|
| State | California | CA | State standard | No |
| Created Date | 03/14/2025 | 2025-03-14 | Date format | No |
| Created Date | 14 Jan 2026 | 2026-01-14 | Date format | No |
| Annual Revenue | $1,200,000 | 1200000.00 | Currency format | No |
| Olivia.Hart@BrightPath.io (trailing space) | olivia.hart@brightpath.io | Whitespace and email format | No | |
| Rows 2 and 3 | Olivia Hart twice | Merge, keep row 2 | Same email address | No |
| Rows 4 and 5 | Marcus Reed twice | Merge, keep row 4 | Same name and company, different email | Yes, emails differ |
| Rows 7 and 8 | Ben Ward at two companies | Proposed merge | Same name, same email user name | Yes, reject it |
Row numbers count the header as row 1. Phone numbers written two ways (with parentheses and with dots) were left as they were, so normalize phone format in the CRM import mapping if your system needs one shape.
Why cleaning it in place is the harder way to do it
Working inside the system feels direct. It is also where the changes become permanent before anyone else has seen them.
Salesforce deduplicationThe merge happens on the click
Inside the CRM the merge is applied as you confirm it, and the record it overwrote is not somewhere the ops team can go and read afterwards.
Objects are cleaned separately
Contacts and accounts get their own runs under their own rules, so the two never quite agree about which company a person belongs to.
The sales team hears about it later
The first anyone knows of a bad merge is an account missing from a pipeline review, weeks after the run that removed it.
What working on the export gives you
Every merge is a proposal you can circulate before it is applied, the audit log goes with it, and the import lands in a sandbox first.
Questions about crm data cleansing
Do you connect to my CRM directly?
Can I clean accounts and contacts together?
How often should CRM data be cleansed?
What should I clean in a CRM export before importing it?
Will it merge two different people with the same name?
Plans for when the file is bigger than the demo
Yearly billing saves 50 percent. There is no free plan, and no card is needed to use the browser demo above.
Yearly billing saves 50 percent, half the monthly price.
Switch to yearly and save 50 percent.
Analyst
Self-serveOne person with files to clean, as many as they like.
$29$59/mo
Billed $348 a year Billed monthly
- Unlimited files
- Files up to 25MB, about 100,000 rows
- Exact and fuzzy duplicate detection
- Dates, numbers, currencies, encoding and casing fixed
- Every change reviewable before you download
- Cleaned CSV and a change log, both downloadable
- Runs in your browser: files never leave your machine
- Email support
Enterprise
Several people on one invoice, a DPA on request, priced per seat.
$49$98/seat/mo
Billed $588 a seat a year, from 2 seats ($1,176) Billed monthly per seat, from 2 seats ($196)
- Everything in Analyst
- Several people on one invoice
- DPA on request
- Invoicing and purchase orders
- A named contact for support
Payment is by card through our payment provider, monthly or yearly, and you can cancel from your account at any time. The free try is one file of your own, up to 5MB, in the browser demo. Already paid? Sign in.
Related pages
- Salesforce Deduplication and Data Cleaning Tool
- Entity Resolution Software for Customer Records
- Data Hygiene for Contact Lists and CRM Records
- Fuzzy Matching Tool for Names and Companies
- Data Cleaning Software for CSV and Excel Files
- Data Quality Tools and Software Compared
- Excel Data Cleaning Tool Without Formulas
- Data Cleaning Services vs Doing It In House
- Data Deduplication Tools for CSV and Excel
- Address Standardization and Cleansing Software
- HubSpot Deduplication to Merge Duplicate Contacts
- Zoho CRM Deduplication to Merge Duplicate Contacts
- Pipedrive Duplicate Contacts Deduplication Tool
- NetSuite CSV Import With Clean and Deduped Files
- Data Scrubbing Software and Tools for CSV Files
- Mailchimp Duplicate Contacts Across Audiences
- Constant Contact Duplicate Contacts and Emails
- Klaviyo Duplicate Profiles and Merge Profiles
- ActiveCampaign Duplicate Contacts and Merge Contacts
- QuickBooks Online Merge Vendors and Customers From One List
- Merge Customers in QuickBooks Desktop and Merge Vendors
- Salesforce Merge Accounts in Bulk from One Reviewed List
- Salesforce Merge Contacts and Merge Leads From One Reviewed List
- HubSpot Merge Contacts and Companies From a Reviewed List
Clean the file, and be able to show what you changed
Try the demo on your own CSV first. It runs in your browser, it costs nothing, and no card is required.
No card required. Your file never leaves your computer.