What is CRM data migration?
Migration is the process of relocating your data when you change CRMs, translating it from the old system's model to the new one.
The defining challenge is fidelity: keeping relationships, history, and structure intact so nothing valuable is lost in the move.
Short answer
CRM data migration is moving records - contacts, accounts, deals, and activity history - from one system into another, remapping them into the new platform's data model while preserving relationships and history. It is more than a data transfer: a good migration recreates the structure and context, not just the raw values, so the new CRM is usable from day one.
Key takeaways
- Moves records and history from one CRM into another.
- Remaps data into the destination's model and field structure.
- Must preserve relationships and activity history, not just values.
- Best done on clean source data with a tested subset first.
Why it matters
A migration decides whether the new CRM starts alive and useful or arrives as a disconnected data dump. Preserving relationships and history means reps keep their context; losing them means the team effectively starts over despite the data technically being there.
How Ardovo handles it
Ardovo migrates from major CRMs with field mapping and relationship preservation, and validates a test migration before the full run. Rook handles the mapping and relationship work so the new database is clean, connected, and alive on day one.
Frequently asked questions
What is the difference between data migration and data import?
Import loads a batch of records, often from a file, into an existing CRM. Migration is the larger project of moving an entire system's data - all objects, relationships, and history - into a new platform and remapping it to the new model. Import is a step; migration is the whole move.
Why is CRM migration considered risky?
Because it moves everything at once and mistakes surface after cutover when they are expensive to fix. The main risks are dropping relationships and history, mismapping fields, and creating duplicates. Testing on a subset and validating relationships mitigates most of it.
What should you migrate first?
Clean, foundational data: accounts and contacts with their relationships, then deals, then activity history. Cleaning the source before migrating and testing on a subset ensures you build the new system on good, connected data rather than importing old problems.