Notion works brilliantly for 50 contacts. At 300, the cracks appear. Relations start pointing to nothing. Formulas choke on rollup chains. Attachments scatter across pages. You rebuild your 'CRM' a third time and realize Notion was never built to scale this way. The founder-led service shop—the agency, the wealth advisor, the sales collective—hits this wall hard. You've got client history, deal tracking, contact notes, and task management all meshed into a Notion workspace. It's cheaper than Salesforce. It's more flexible than Pipedrive. Then your deal pipeline turns into a game of "where did that record go?" When you decide to move, the fear is real: will your data survive intact? What breaks in translation? How do you know what's salvageable before you commit? We've helped dozens of teams migrate from Notion to Orin's CRM , and the pattern is consistent. Some data moves clean. Some requires rebuilding. Some disappears silently. Here's how to audit before you migrate, what to expect in translation, and how to move without losing deal context or client history. Why Notion breaks as a CRM at 300 records Notion's relational database is powerful for linking ideas. It's designed to be flexible and human. That flexibility becomes a liability when you're tracking 300 clients, 80 active deals, and 200+ interactions per week. Three failure modes emerge: Relation cardinality collapse: A contact links to multiple deals. That deal links to a project, a contract, an invoice, and a team member. By the time you're querying "all deals closed this month for clients in Tech," you've got orphaned records—deals linked to deleted contacts, contacts pointing to archived projects. Notion doesn't enforce referential integrity. A relation can point to a record that's been moved, hidden, or deleted. Formula and rollup chains break under load: A simple rollup—"sum of contract value by client"—works at 50 records. At 300, with nested formulas pulling from linked databases, the UI lags. Formulas that worked in month one fail when the underlying linked record changes. You're updating the same spreadsheet four times because the formula didn't recalculate. Attachment and file versioning becomes opaque: You store contract PDFs, signed docs, and proposals directly in Notion. At 300 records, you can't tell which version is current. You're searching for "latest contract" across 15 projects. Notion doesn't version-control files the way a purpose-built CRM does. Notion optimizes for flexibility. It doesn't optimize for data integrity at scale. That's not a flaw—it's a design choice. But if you're running a revenue operation, data integrity matters more than flexibility. What actually survives Notion-to-Orin migration clean The good news: most of your data migrates intact. The work is in the edges. Clean migrations: Flat contact records. Name, email, phone, company, title, LinkedIn URL—these move without friction. Notion's text, email, and URL fields map directly to Orin's contact fields. No loss. Simple deal records. Deal name, amount, stage, close date, owner—these are portable. Orin's pipeline and deal tracking ingests this data in minutes. Historical notes and timelines. If you've stored meeting notes, call summaries, or deal context as text blocks in Notion, they move to Orin's activity timeline intact. You keep the full story. Attachments (mostly). Files stored in Notion's database can be re-attached in Orin. Size limits apply, but the files themselves don't corrupt. Date fields and milestones. Due dates, contract signature dates, renewal dates—all migrate cleanly if they're stored as Notion dates. No translation logic needed. Problematic migrations (require rebuilding): Many-to-many relations. A deal linked to multiple contacts (stakeholders, decision-makers, end users) doesn't have a clean parallel in most CRM import formats. Notion exports them as comma-separated fields. Orin can ingest this, but you'll need to validate that all stakeholders linked correctly and no relations broke during the split. Formulas and rollups. Notion's formulas—especially those that aggregate or compute across relations—don't export as executable logic. You get the calculated *value*, not the formula. In Orin, you may need to recreate these as fields or use built-in AI or automations. Example: if you had a Notion formula computing "days since last contact," that's now a static number. You'll set up a workflow in Orin to keep it live. Multi-select and tag fields with custom logic. Notion's multi-select fields export as text. If you used them to signal workflow state (e.g., tags like "needs-legal," "awaiting-signature"), they'll import as text labels in Orin, but won't auto-trigger workflows unless you rebuild them as actual stage fields or tags with automation. Lookup fields pulling from linked databases. Notion's lookup fields display related data—e.g., showing a contact's company size on the deal record. These export as static text or numbers. In Orin, you'l