Moving from a spreadsheet to a CRM can feel larger than it really is. The key is not to migrate every column and every old row simply because the data exists.
Start with the business process you want the CRM to support.
A pre-import checklist
Run through this list before any data leaves the spreadsheet:
- Every row has a name and at least one way to reach the person.
- Phone numbers and email addresses follow one consistent format.
- Columns such as status, source and owner use a fixed set of values.
- Dates use the same format across the whole file.
- Each column is mapped to a standard field, a custom field, or marked as skip.
- The file is saved as CSV with a single header row.
1. Identify the active data
Separate current Leads, Contacts, Companies, and active Deals from old or irrelevant records. Historical data can be retained separately if you do not need it immediately.
2. Remove duplicates
Duplicate records make CRM adoption harder. Before importing, identify obvious duplicates and decide which record should remain.
3. Map your columns
Look at every spreadsheet column and decide where it belongs in the CRM. Some columns will map to standard fields. Others may become custom fields. Some may not be worth importing.
4. Define your objects
Decide which rows represent Leads, which represent Contacts, and which Companies and Deals need to be created. Avoid putting everything into one giant table.
5. Import a small sample
Before moving the entire dataset, test the import with a manageable sample. Check names, emails, phone numbers, custom fields, ownership, and any relationships.
6. Build the working views
Once the data is inside the CRM, create views that reflect the team's daily work. For example, a salesperson may need an Open Leads view and a manager may need an Active Deals view.
7. Train the team around the new workflow
Explain what should now happen in the CRM. The team needs to know where new Leads go, who owns them, how Deals are updated, and what information should be recorded.
8. Keep the old spreadsheet temporarily
Do not delete the source immediately. Keep a controlled backup until the migration has been checked and the team is comfortable.
A practical example
A small agency keeps its clients in one Excel file with around twenty columns: client name, contact person, phone, email, service, retainer value, last call date, and a notes column full of mixed updates.
During cleanup, the team splits the file into clear parts. Client businesses become Companies. The people the agency speaks to become Contacts linked to those Companies. Open proposals become Deals with an owner and a stage. Old inquiries that never progressed stay in an archive file instead of being imported.
The notes column is the hardest part. Rather than importing years of mixed text, the team copies only the latest useful context into each record and records new activity inside the CRM from day one.
Common migration mistakes
- Treating the move as a one-afternoon file upload.
- Creating custom fields for columns nobody has filled in for months.
- Importing records without owners, so nobody feels responsible for them.
- Letting people keep editing the old spreadsheet after the switch.
Vivre CRM supports CSV import and export, making it possible to bring existing spreadsheet data into the CRM and retain control over it.
The first two weeks after import
Check in with the team every few days. Ask which fields are confusing, which records look wrong, and what they still look up elsewhere. Small fixes made early prevent people from drifting back to the spreadsheet.
Key takeaway
A successful migration is less about moving rows and more about moving to a cleaner way of working. Clean the data, simplify the process, test the import, and make the CRM the team's shared working system.
