How to migrate CRM data
Migrating means recreating your data's structure in a new system, not just copying values. The relationships and history are what make the data useful.
Done well, a migration is a fresh start on a clean database. Done carelessly, it imports the old mess and loses the history that made the old system worth anything.
Short answer
Migrate CRM data by exporting and cleaning the source, mapping objects and fields to the new system, migrating relationships and history (not just flat records), testing on a subset, validating counts and links, then cutting over and verifying. The goal is a clean, connected database in the new system, with history and structure intact, not a pile of disconnected rows.
Step by step
Export and clean the source
Pull the source data and clean it - dedupe, standardize, purge dead records - so you migrate a clean database.
Map to the new model
Map objects, fields, and picklist values to the destination's data model, accounting for structural differences between systems.
Migrate relationships and history
Carry over contact-account links, deal associations, and activity history, not just the top-level records.
Test, validate, and cut over
Migrate a subset, validate counts and relationships, then run the full migration and verify before switching teams over.
Migrate structure, not just rows
A migration that copies contacts and accounts but drops the links between them, or loses activity history, technically moved the data but destroyed its value. Treat relationships and history as first-class migration objects that get their own mapping and validation.
How Ardovo helps
Ardovo migrates from major CRMs with field mapping and relationship preservation built in, so contact-account links and activity history survive the move. Rook runs a validated test migration first and handles the mapping busywork, so you land on a clean, connected database.
Frequently asked questions
How long does a CRM migration take?
Anywhere from days to a few weeks depending on data volume, how many custom objects and fields you have, and how much cleanup the source needs. Most of the time goes into cleaning, mapping, and validating relationships - the actual data transfer is usually fast.
What gets lost in a bad migration?
Relationships and history, most commonly - the links between contacts and accounts, deal associations, and activity timelines. A migration that moves flat records but drops these leaves you with disconnected rows that lost the context that made the data useful.
Can you migrate CRM data without downtime?
Largely, with planning. Test the migration on a subset first, validate thoroughly, and schedule the final cutover during a low-activity window. A tested, validated migration keeps the switch quick and avoids the scramble of fixing problems live.