What it costs to migrate off Salesforce
The fear of a painful, expensive migration is the single biggest reason teams stay on a Salesforce instance they have outgrown. The reality is more manageable than the fear, but the cost is real and it lives in specific places worth understanding before you commit.
This guide breaks down where migration cost actually comes from and how to keep it low.
- Days-weeks Typical migration timeline
- Remap The biggest cost, not the export
- Rebuild Automations do not transfer
Short answer
Migrating off Salesforce typically costs from a few thousand dollars for a clean, mid-market instance to tens of thousands for a heavily customized org, driven mostly by data remapping, rebuilding automations, and reconnecting integrations rather than by moving the records themselves. The good news is that Salesforce data exports cleanly, so with the right target platform most teams complete a migration in days to a few weeks.
Where migration cost actually comes from
Exporting records from Salesforce is straightforward with the Data Export tool or Data Loader. The cost is in everything around the raw data: mapping fields to the new system, rebuilding the automations that do not transfer, reconnecting integrations, and validating that nothing broke. Budget for the work around the data, not the data move itself.
- Field mapping: matching Salesforce objects and custom fields to the new model
- Automation rebuild: flows, Apex triggers, and validation rules do not port over
- Integration reconnection: every connected system needs rewiring
- Validation and parallel running: confirming the new system matches before cutover
The Salesforce-specific gotchas
A few Salesforce realities shape the cost. Record IDs are not portable, so relationships between accounts, contacts, and deals are re-linked by email and name on import, which is why clean data matters. Managed-package fields often carry data you no longer use, so migration is a chance to leave clutter behind. And automations must be inventoried first, then rebuilt, since none of them export as files.
How to migrate without a big bill
Choose a target platform that can rebuild your pipeline, views, and automations quickly rather than requiring a fresh multi-month build. Migrate only the data and automations you actually use, run the two systems in parallel briefly to validate, then cut over. The cost of a migration is largely a function of how much manual rebuild the destination forces on you.
Where Ardovo fits
Ardovo is built to make a Salesforce migration cheap and fast. It imports accounts, contacts, deals, and activity history, and Rook can rebuild your pipeline, views, and automations from a plain-language description of how you work, which is exactly the part that usually runs up the bill. Most Salesforce migrations to Ardovo finish in days rather than months, so the remap-and-rebuild cost that dominates a typical migration is a fraction of the norm. See the full Salesforce migration playbook for the step-by-step.
Frequently asked questions
How much does it cost to migrate off Salesforce?
From a few thousand dollars for a clean mid-market instance to tens of thousands for a heavily customized org. The cost is driven by field remapping, rebuilding automations, and reconnecting integrations, not by exporting the records, which Salesforce does cleanly.
How long does a Salesforce migration take?
With a target platform that can rebuild your setup quickly, most teams finish in days to a few weeks. Larger orgs with heavy customization sit at the longer end; a clean instance can go live the same week.
Do Salesforce automations transfer when I migrate?
No. Flows, Apex triggers, and validation rules do not export as files, so you inventory your active automations first and rebuild the ones you still need in the new system. This rebuild is one of the main drivers of migration cost.
What is the hardest part of leaving Salesforce?
Rebuilding the automations and re-linking relationships, since Salesforce record IDs are not portable and data is re-matched by email and account name on import. Clean data and a platform that can rebuild your pipeline and views quickly make this far less painful.