Don't migrate the mess into the new system.
A migration is the one moment you can fix the foundation instead of carrying it forward. We treat it as data engineering, not data transfer: deduplication as a planned phase, dependency-ordered loads, and a cutover that is sequenced, idempotent, and recoverable, so a failure in phase nine resumes at phase nine instead of restarting overnight. You come out with infrastructure, not just a new logo on the same chaos.
For the team running a Salesforce-to-HubSpot move, a post-acquisition portal consolidation, or a renewal-driven "is our instance even clean enough to justify this spend" reckoning, where the cutover date is real and you do not want to spend year one cleaning up what you broke on cutover.
Starting at $3,500 per migration
Fixed-fee project scoped after a discovery call and source-data review. Pricing scales with record volume, object complexity, and the number of deduplication passes required. A straightforward single-source migration (e.g., Zoho or Salesforce to HubSpot, up to 15,000 records, dependency-ordered in phases) runs 40-60 hours at blended $85/hr, putting a typical engagement at $3,500-$5,500. Larger or multi-source migrations are quoted on scope. Post-migration, a Data Foundation Audit is recommended as a validation step. See all pricing.
Migrations rarely fail on row count. They fail on ordering and idempotency. We load object types in dependency order and resolve duplicates before writing associations, so history consolidates instead of fragmenting.
How we run it
- Dependency-ordered loads: companies, then contacts, then deals and tickets, then activities, then associations as an explicit final pass. No orphan defects.
- Deduplication as a planned phase: duplicates resolved against a survivorship rule and merged before associations, so activity history unifies on the surviving record.
- Idempotency: every phase re-runs to the same end state using external IDs and upsert-by-key logic.
- Checkpoints: progress recorded after each phase so any failure resumes rather than restarts.
After the landing
A migration lands the data; a Data Foundation Audit confirms it is trustworthy once there. The two are bookends of the same engagement.
Related reading
Read the anonymized 13-phase migration postmortem covering 11.8k records and 679 merges.
Ready to start?
A migration is only as good as the foundation it lands on, so every engagement begins with the audit that defines what the destination portal must get right.
A fixed-scope audit, $2,500 single hub / $3,500 two hubs. Half the fee credits toward your first 60 days of retainer if you continue, so the decision to start is low-risk.
Common questions about HubSpot migrations
- What does deduplication mean in a CRM migration to HubSpot?
- Deduplication is the process of identifying records in the source system that represent the same person or company and deciding which one to keep, which to merge, and which to discard. In a migration, this is done before any records are written to HubSpot so that the surviving record carries the complete activity history rather than splitting it across duplicates. We apply a survivorship rule to every deduplication decision: the rule defines which record's field values win on a merge.
- How long does a HubSpot migration take?
- A single-source migration with up to 15,000 records and standard object types (contacts, companies, deals, activities) takes 40 to 60 working hours, typically delivered over 3 to 5 weeks. Multi-source migrations, high record volumes, or custom object structures require scoping after a source-data review before a timeline can be committed.
- What CRM systems can you migrate from?
- We have delivered migrations from Zoho CRM, Salesforce, Pipedrive, and spreadsheet-based setups. The methodology is the same regardless of source system: dependency-ordered object loads, deduplication as a planned phase, idempotent upserts by external ID, and checkpoints after each phase.
- What does idempotent migration mean in practice?
- An idempotent migration phase produces the same result whether it runs once or ten times. We use external IDs and upsert-by-key logic so a phase that is interrupted mid-run can be re-run from the start without creating duplicate records or writing inconsistent data. A failure in phase nine resumes at phase nine, not at phase one.
- Will historical activity data (calls, emails, notes) survive the migration?
- Yes, if the source system exports activities in a usable format. We load activities after all object types are resolved and associated so activity history maps to the correct surviving records. If the source system does not export structured activity logs, we document that gap before the migration starts so there are no surprises at delivery.
- Should I run a Data Foundation Audit before or after the migration?
- For a migration, the highest-value moment is before: a pre-migration audit of the source data scopes the deduplication pass, surfaces the defects you do not want to import, and gates the project so the cutover is planned against a known state. A post-migration audit is also valuable as a validation step that confirms the data landed cleanly. If the source has known data-quality issues, start with the pre-migration audit.