Moving data from spreadsheets into a CRM is more than importing rows. If names, phone numbers, record owners or column meanings are unclear, the new system will inherit the same confusion with a different interface. This spreadsheet-to-CRM migration checklist helps a US business inventory its sources, map fields and verify the result with users before the final cutover.
Decide what belongs in the new system
List the files and working copies, then record an owner, users, last-use context and operational purpose for each. Several spreadsheets may be parallel lists of the same customer; another file may only be an archive. Importing every column does not automatically improve data quality.
Separate active records, history needed for current work and older information. Ask the process owner and the organization’s legal or finance adviser to decide what should be retained or excluded. This guide does not set legal retention periods or give legal advice.
Clean and map the fields
For every source column, write down the CRM field it maps to, its owner and what happens when a value is blank or inconsistent. Create a short vocabulary for statuses and names. “New customer” might mean a lead in one workbook and a contracted account in another. Before import, review duplicates, spaces, spelling, phone formats and unique identifiers.
| Source data | Cleanup question | Migration decision |
|---|---|---|
| Company name | Do different spellings refer to one business? | Define the display-name and reference-ID rules. |
| Phone number | Are country codes and formats consistent? | Normalize a searchable format while retaining source context as needed. |
| Sales status | Do status labels mean the same thing in each file? | Document a mapping to CRM stages. |
| Follow-up owner | Which CRM user corresponds to this person? | Separate ownerless records for a human decision. |
Preserve relationships
A company may have multiple contacts, a contact may have multiple opportunities, and each opportunity may have an interaction history. If you import rows without preserving identifiers and relationships, customer context can disappear. Decide which field connects records, how duplicates are handled and which system remains the source of truth.
Test before the final import
Use a controlled copy of the source and test ordinary records, blanks, duplicates and exceptions. Compare the result with the source: records processed, rejected items, preserved relationships and transformed fields. Every discrepancy should have an explanation and an owner. An import-error report makes it easier to correct data before the final move.
Ask actual users to try the migrated sample in their daily workflow. Can they find the right customer history? Is the next owner clear? Do decision-making reports show the expected result? If not, fix the mapping or workflow before continuing.
US operating details to check
Confirm how phone numbers with country codes are represented, how dates and time zones should display, and whether currency values use USD consistently. Do not infer a tax or accounting treatment from a spreadsheet label; preserve the source definition and confirm the destination workflow with the finance owner or an authoritative source. If customer data includes government identifiers or other sensitive fields, verify that each field is necessary and that access and retention are approved before migration.
Test the exact accounting, email, payment or telephony integration used by your business and account plan. A vendor’s public integration page does not prove that your plan, configuration or data mapping is supported.
Plan cutover and recovery
Decide when the source spreadsheet stops changing, who checks discrepancies, and how the team returns to a known-good source if a connection fails or data is mapped incorrectly. Test the backup and restoration process instead of assuming that a file exists. Do not delete the source until the process owner has approved reconciliation, access and a recovery path.
These are operational steps, not a guaranteed timeline or success rate. The right approach depends on source quality, relationships, integrations and transformation rules. See Rvion’s CRM overview and its medical-equipment CRM demo; the demo uses illustrative records, not real customer information. To discuss a project, use the English contact page.
Frequently asked questions
Should every spreadsheet column become a CRM field?
Only after you know its purpose, owner and relation to a report or workflow. An unowned field often adds complexity without helping the team.
Can duplicate records be deleted automatically?
Not without a matching rule and a way to review ambiguous cases. Similar names may belong to one company or separate businesses. Separate confident matches from records that need human judgment.
When should we stop using the old spreadsheet?
After owners approve reconciliation, user access and recovery, and the new workflow is operating. There is no single numeric threshold or calendar window that fits every organization.
Sources and scope
This is an operational migration checklist, not a tax, privacy or records-retention opinion. Confirm applicable US requirements with an authoritative source and qualified adviser. For web publishing, see Google’s people-first content guidance.
