When to compare CSV files
Data changes over time. CRM contacts get updated, product prices shift, inventory moves. When you export your data regularly, comparing today's export to last week's tells you exactly what changed — no manual scrolling required.
Common use cases:
- Spotting what changed after a bulk update or import — did all 200 price changes go through?
- Verifying a vendor's updated product feed — which SKUs were added, removed or re-priced?
- Auditing contact updates — which leads changed stage, owner or email since last export?
- QA after a data migration — checking that every record arrived intact.
Choosing the right key column
The key column is what identifies a unique record. Without one, the tool falls back to comparing entire rows as text, which misses which specific record changed.
Good keys are columns whose values are unique and stable: an auto-generated ID, a product SKU, an email address. Avoid columns that change (like a price or status) or that aren't unique (like a first name).
You can use multiple key columns together when no single column is unique — for example, order number + line item number.