Data Cleaning Before a CRM Migration
For: RevOps and ops teams preparing to migrate from one CRM to another
CRM migrations are the one time your data gets a fresh start. Every record you move into the new system carries its problems with it: duplicates, outdated titles, wrong phone numbers, and standardization inconsistencies. Cleaning before migration is 10x easier than cleaning after, because you control the import process. Most migration projects underestimate data cleaning. The timeline typically runs: 2 weeks planned for data prep, 8 weeks actually spent. The scope creep comes from discovering how bad the data is once you start auditing. Twenty percent duplicates. Forty percent incomplete records. Picklist values with 15 variations of the same state name. Starting the cleanup early prevents it from becoming the bottleneck that delays your go-live. The goal is to migrate clean, complete, standardized data so your team starts in the new CRM with a database they can trust from day one.
Our top pick for revops and ops teams preparing to migrate from one crm to another is DemandTools, mentioned in 32 job postings.
What to Look For
Deduplication before export
Migrating duplicates into a new CRM doubles your problem. Dedup in the source system first, then export clean records. DemandTools (Salesforce) or Operations Hub (HubSpot) handle this.
Field standardization
Before import, normalize every picklist: state abbreviations (California vs CA vs Calif.), country names, industry codes, and job title formats. Your new CRM's validation rules will reject inconsistent data.
Enrichment to fill gaps
Migration is the ideal time to enrich. You're touching every record anyway. Run batch enrichment through Apollo or ZoomInfo to fill missing emails, phones, titles, and company data before import.
Validation of contact data
Verify emails and phone numbers before loading into the new CRM. Why migrate 50,000 contacts when 15,000 of them have invalid emails? Start clean.
Our Recommendations
1. DemandTools
32 job mentionsThe gold standard for Salesforce data cleaning. Dedup, mass update, and import management. If you're migrating FROM Salesforce, use DemandTools to clean before export.
2. Apollo.io
37 job mentionsBatch enrichment to fill missing fields on your contact database. Run a bulk enrichment on the export file before importing into the new CRM.
3. Clay
26 job mentionsBuild a custom cleaning workflow: standardize titles, validate emails, enrich missing fields, and flag records below a quality threshold, all in one pipeline before import.
4. HubSpot CRM
432 job mentionsIf you're migrating TO HubSpot, use Operations Hub's formatting automation to standardize data on import. Set up the rules before your first import so every record enters clean.
The Bottom Line
Budget 4-8 weeks for data cleaning before any CRM migration. The sequence: (1) audit your current data quality (duplicates, completeness, standardization), (2) dedup and standardize in the source system, (3) run batch enrichment on the export to fill gaps, (4) validate emails and phones, (5) import clean records into the new CRM with field mapping verified in a test import first.
Frequently Asked Questions
How long does data cleaning for migration take?
Plan 4-8 weeks. Small databases (under 10,000 records) can be cleaned in 2-3 weeks. Large migrations (100K+ records) with significant data quality issues need 6-8 weeks. The timeline depends on how many duplicates and standardization issues exist.
Should I enrich during or after migration?
During (before import). Enriching before migration means every record enters the new CRM with complete data. Enriching after migration means your team starts with incomplete records and has to work around gaps until the enrichment catches up.
What records should I NOT migrate?
Don't migrate: contacts with no email AND no phone (unreachable), records that haven't been touched in 3+ years (likely decayed beyond recovery), obvious test records and internal contacts, and contacts who've opted out of all communication (migrate their suppression status, not their full record).