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 Every record you move into the new system carries its problems with it: duplicates, outdated titles, wrong phone numbers, and standardization inconsistencies.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 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 1,062 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
1,062 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
514 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
504 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
4,965 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.
Getting Started
If you are new to this area, here is a practical path forward for revops and ops teams preparing to migrate from one crm to another.
Audit Your Current Setup
Before buying any new tools, document what you already have. List every tool your team uses for this workflow, identify where data lives, and note the manual steps that slow things down. Most teams discover they already own tools with untapped features that partially solve the problem.
Define Success Metrics
Pick two or three metrics that will tell you whether a new tool is working. Avoid vanity metrics. Focus on outcomes like time saved per week, conversion rate changes, or error reduction. Having clear targets makes vendor evaluation much easier.
Run a Focused Pilot
Test your top choice with a small team or a single use case for 30 to 60 days. Don't roll out to the entire organization at once. A pilot limits your risk and gives you real data to support a broader rollout or a switch to a different tool.
Plan for Integration
Check that your chosen tool connects to your existing CRM, data warehouse, and communication platforms before signing a contract. Integration gaps create data silos, and fixing them after purchase is more expensive than preventing them during evaluation.
Key Metrics to Track
These are the numbers that tell you whether your investment is paying off. Track them monthly and share results with stakeholders.
Time to Value
How long from purchase to seeing measurable results. Most B2B tools should show impact within 30 to 90 days. If you're past 90 days with no clear improvement, revisit your implementation or consider alternatives.
Adoption Rate
What percentage of your team actively uses the tool each week. Below 60% adoption usually means the tool is too complex, doesn't fit the workflow, or wasn't properly rolled out. Address adoption before blaming the tool.
Process Efficiency
Measure time spent on the specific workflow this tool addresses. Compare against your pre-implementation baseline. A well-chosen tool should reduce manual effort by at least 30% within the first quarter.
Data Quality Impact
Track error rates, duplicate records, and data completeness before and after implementation. Better tooling should produce cleaner outputs. If data quality stays flat, the tool may not be configured correctly.
Common Pitfalls
These mistakes come up repeatedly when revops and ops teams preparing to migrate from one crm to another evaluate and implement new tools. Avoiding them saves time and money.
Buying Based on Features Alone
A feature list is not a use case. The tool with the longest feature list is rarely the best fit for your specific situation. Focus on the three or four capabilities that matter most to your workflow and evaluate depth in those areas rather than breadth across the board.
Underestimating Onboarding Time
Vendors love to say their product is "easy to set up." In practice, data migration, integration configuration, workflow design, and team training take weeks. Build onboarding time into your project plan and don't expect full productivity from day one.
Skipping the Competitive Evaluation
Signing with the first vendor that gives a good demo is a common and expensive mistake. Always evaluate at least two alternatives. Run each through the same test scenario and compare results side by side. The difference between tools is often larger than their marketing suggests.
Ignoring Total Cost
The subscription price is just the starting point. Factor in implementation fees, integration middleware, training time, and ongoing administration. A tool that costs $100 per user per month may actually cost $200 per user per month once you add everything up.
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).