Quick answer: A safe CRM migration follows a fixed sequence — audit and clean the source data, map every field, export to CSV/XLSX, deduplicate, test-import a small batch, run the full import in stages, then validate a sample and reconcile record counts before switching off the old system. Always keep a backup until go-live is confirmed.
Moving your data to a new CRM is the riskiest step of any rollout — do it carelessly and you lose deals, contacts or history you can never fully recover. This CRM migration checklist gives you a repeatable, zero-loss process whether you are moving from Excel, WhatsApp, or another CRM.
Before you start
- Take a full backup. Export everything from the source and store it untouched.
- Freeze changes if you can. Pick a quiet window so records do not change mid-migration.
- Decide what to migrate. Active deals, current customers and warm leads first; archive the rest.
- Set up the target CRM first. Pipelines, custom fields and roles must exist before import.
The CRM migration checklist
| Step | Action |
|---|---|
| 1. Audit | Inventory every source (spreadsheets, old CRM, WhatsApp exports). |
| 2. Scope | Decide which records and which fields actually move. |
| 3. Clean | Standardise formats; fix obvious errors. |
| 4. Dedupe | Merge duplicates by phone or email. |
| 5. Map | Match every source column to a target field. |
| 6. Test import | Import 20–50 records and check the result. |
| 7. Full import | Import in batches by entity (contacts, then companies, then deals). |
| 8. Validate | Reconcile counts and spot-check a random sample. |
| 9. Go live | Switch the team over; keep the backup until confirmed. |
Field mapping done right
Field mapping is where silent data loss happens. A phone number lands in a notes field, a city ends up in the address line, or a custom field is dropped entirely. To avoid it:
- Create custom fields first. Any bespoke source column needs a home in the new CRM before import.
- Map one entity at a time. Contacts, companies and deals have different fields — keep them separate.
- Preserve links. Make sure a contact’s company and a deal’s owner map correctly.
- Save the mapping. A saved mapping lets you re-run the import if the first pass needs a fix.
TatvaCRM’s import supports CSV and XLSX with dynamic field mapping, inline creation of missing options, and owner/tag assignment during import — so your custom fields and relationships survive the move.
Deduplication and cleanup
Duplicates are the fastest way to lose your team’s trust in a new CRM. Deduplicate before import, in the source export:
- Sort by phone and email; merge records that clearly belong to the same person.
- Standardise phone numbers to a single format (with or without country code).
- Normalise dates and city names so filters and reports work later.
- Drop rows with no usable contact detail — they only add noise.
Validate before go-live
Never switch off the old system until you have reconciled record counts (records exported should equal records imported, minus intentional dedupes) and manually checked a random sample of records field by field. Keep the original backup export safely until the team confirms everything looks right in the new CRM.
Migration is one phase of a larger rollout. Read the CRM implementation guide for the full picture. Moving off spreadsheets? See migrating from Excel to a CRM. Coming from Zoho? Follow our Zoho-to-TatvaCRM migration guide.
Migrating to a CRM built for Indian businesses? Start free with TatvaCRM — CSV and XLSX import are included, or compare plans.
Frequently asked questions
› What should a CRM migration checklist include?
A complete checklist covers: audit the source data, decide what to migrate, clean and deduplicate, map every field to the new CRM, export in a supported format (CSV/XLSX), do a test import of a small batch, run the full import, validate a sample, and reconcile record counts before you switch off the old system. Keep a backup of the original export until go-live is confirmed.
› How do I migrate data without losing records?
Export a full backup first and never delete the source until migration is verified. Import in stages, reconcile record counts after each batch (records in equals records out), and validate a random sample of records field by field. Keep field mapping documented so you can trace any discrepancy back to its cause.
› Should I clean data before or after migration?
Before. Cleaning and deduplicating in the source export is far easier than fixing a polluted new CRM. Standardise phone numbers, dates and city names, merge duplicates by phone or email, and drop dead records. Importing clean data also means your team trusts the new system from day one.
› What file format is used to migrate CRM data?
CSV and XLSX are the standard formats for CRM migration. You export from the old CRM or spreadsheet as CSV/XLSX, map the columns to the new CRM's fields during import, and let the system create the records. Most CRMs, including TatvaCRM, support CSV and XLSX import with a save-able field mapping.
› How long does a CRM migration take?
For a small business with a few thousand clean records, migration can take a day or two. The time sink is not the import itself — it is cleaning and mapping the data beforehand. Budget more time if you are consolidating multiple spreadsheets or moving custom fields and historical activities.
› Can I migrate custom fields and history to a new CRM?
Yes, if the new CRM supports custom fields and activity import. TatvaCRM lets you create custom field definitions before import and map source columns to them, so your bespoke data lands in the right place. Historical notes and activities can usually be imported too, though many teams start with active records and backfill later.