What Is Field Mapping?
Field mapping is defining how data fields in a source system correspond to properties in the destination CRM during a migration or integration — for example mapping “Account Name” to HubSpot's “Company name.” Accurate mapping ensures data lands in the right place and stays usable.
Key takeaways
- Field mapping pairs source fields with destination CRM properties.
- It's the backbone of any migration or system integration.
- Mismatched mapping silently corrupts data — validate it carefully.
Why mapping matters
Two systems rarely name or structure fields the same way. Mapping reconciles them so a value ends up in the right property with the right format — and so a dropdown in one system doesn't become free text in another.
Tips for clean mapping
- Match field types, not just names (date to date, dropdown to dropdown).
- Decide what happens to unmapped fields before you import.
- Test a sample and validate before running the full job.
Frequently asked questions
What is field mapping?
Defining which source field corresponds to which destination property when moving or syncing data between systems.
Why is field mapping important?
Bad mapping silently puts data in the wrong place or wrong format, corrupting reporting and automation downstream.
What happens to unmapped fields?
They're typically dropped or left blank — so you should consciously decide whether each source field needs a home before importing.
Related service: Plan your migration with Superwork