October 20, 2026
Nobody loses an entire customer list in a migration. What actually happens is smaller and worse: a deal's close date silently reverts to the import date, a custom "referral source" field gets dropped because the target system has no matching column, or ten years of notes get flattened into one unreadable text blob. The CRM still works. It just quietly knows less than it used to. If you're moving off a spreadsheet or a legacy tool like Salesforce, HubSpot, Zoho, or Bullhorn, this checklist is built to catch those losses before they become permanent.
Before you touch ViibeStack's CRM, export your source data in full -- not a filtered view. Pull every contact, every deal/opportunity record, every note, every attachment reference, and every custom field, including the ones you think nobody uses. Export activity logs too (calls, emails, status changes) if your legacy system can produce them; these are the records people forget until a customer asks "didn't we talk about this in March?" and nobody can find it. Save raw exports as read-only files before you start cleaning anything, so you always have an unmodified source to re-check against.
Make a spreadsheet with three columns: source field, destination field in ViibeStack, and a note on transformation. Go line by line. Some mappings are obvious (Email to Email). Others aren't: a legacy "Lead Status" dropdown with 12 values rarely maps cleanly onto a simpler pipeline stage, so decide the consolidation rules now, not mid-import. Flag every field in the source that has no obvious home in ViibeStack -- you'll either create a custom field for it or consciously decide to drop it, but that decision needs to be explicit, not accidental. If your pipeline structure is also changing shape (more or fewer stages), map stage-by-stage and sanity-check that historical deals land in a stage that still makes sense for reporting later, since analytics and reporting built on bad stage data will mislead you for months.
Deal history and notes are the most commonly mangled part of any migration because most CRMs store them differently. A legacy system might log stage changes as timestamped events; a spreadsheet has none of that, just a single "last updated" cell. Decide upfront: are you importing notes as individual timestamped records (preserving who wrote what, when) or concatenating them into one text field on the contact or deal (faster, but you lose the timeline)? If the people who'll actually use the CRM day to day need to see decision history -- why a deal stalled, what a customer objected to -- timestamped notes are worth the extra import effort. Where possible, preserve the original author and date rather than stamping everything with today's date and the migrator's name; that one detail determines whether your sales team trusts the history enough to use it.
Deduplicating after records are live in ViibeStack means untangling merged activity, notes, and deal associations by hand -- much harder than catching it in the source file. Before import, sort by email and phone number and flag exact matches. Then do a second pass for fuzzy duplicates: "Bob Smith" at bsmith@acme.com and "Robert Smith" at robert.smith@acme.com are probably the same person if they share a company and address. Pick a survivorship rule in advance (most recent record wins, or most complete record wins) and apply it consistently rather than deciding case by case, which invites inconsistency. If your source is a spreadsheet that several people edited over the years, expect a meaningfully higher duplicate rate than a single legacy CRM export -- spreadsheets have no unique-ID enforcement, so the same customer often got re-entered every time someone couldn't find the original row.
Don't import your full dataset on the first attempt. Pull a representative sample of 50-100 records that includes edge cases -- a contact with no company, a deal with no close date, a record with special characters or an unusually long note -- and import that batch alone. This surfaces mapping errors and formatting issues while the blast radius is small. Check the imported records against your original export field by field, not just at a glance. If you're also planning to connect ViibeStack to other tools once the CRM is live, this is a good moment to check your integrations list so you're not re-mapping fields twice.
Once the full import runs, validate before anyone relies on it for real work. Confirm record counts match your source minus intentional duplicate removals -- if you exported 4,200 contacts and expected to merge 300 duplicates, you should land near 3,900, not 3,400. Spot-check a sample of deals for correct stage, value, and close date. Then hand the imported CRM to two or three actual sales or support users and ask them to look up a handful of real customers they know well. They'll catch things an auditor won't, like a long-time client whose notes got cut off or a VIP account that lost its custom tag. Only after that review should you flip the switch and retire the old system, and keep the original export archived for at least a few months in case something surfaces later that nobody caught in testing.