A migration is judged on whether records arrived. That is the easy part and the wrong measure. The real question is whether the team uses the new system differently, because if not you have paid to change the interface.
Design before you move
The most expensive migration error is porting the existing data model. Whatever was wrong — vague stages, fields nobody fills, duplicate accounts — arrives intact and now has the authority of a fresh start. Design the model first, then move data into it.
What a controlled migration involves
- A data audit before anything moves: duplicates, completeness, orphaned records.
- A designed target model with stage criteria agreed by the people who will use them.
- Mapping documented field by field, including what is deliberately dropped.
- A staged migration run in parallel, so selling continues throughout.
- Validation against a known subset before full cutover.
- Enablement and a reporting cadence, because go-live is the start of adoption, not the end.
History is not optional
Losing historical activity destroys the basis for scoring, forecasting and attribution — the exact things the migration was supposed to improve. Preserve it, clean it in transit, and accept a longer project rather than a faster one that discards the evidence.
Why vendor-led migrations disappoint
The incoming platform's implementation team is measured on go-live, not on adoption six months later. They will move your data faithfully, including the parts that should not have moved, because redesigning your sales process is outside their scope and their timeline.
The difficulty is not moving records. It is deciding what should not move, getting the team to agree on the target model, and sustaining adoption after the project team leaves.
What this means for your business
Audit and design before selecting a date. A migration scheduled before the model is agreed will move the old model. Our analysis of underperforming CRMs covers what to fix first.