Notion hits 500 contacts and the walls close in. Queries slow. Relations flatten. And your team starts asking when you'll migrate to actual CRM software. The answer: now, on a schedule that keeps your pipeline breathing and your relationships intact. The migration from Notion is not a weekend hack. It requires field-by-field mapping, relationship reconstruction (because Notion's relational fields collapse on export), and a week-by-week cadence that lets you validate data in parallel with your current workflow. This guide walks you through the whole 30-day timeline, with a real playbook you can execute immediately. Why Notion hits the 500-contact wall Notion is not a CRM. It's a database that acts like one until you have enough data. At 500 contacts, three things break: Query performance degrades. Filters and sorts take seconds instead of milliseconds. Your team stops using views. Relations flatten on export. A many-to-many field (e.g., Contacts linked to Deals linked to Activities) becomes a single text blob or orphaned entirely. No activity history. Notion has no native call log, email thread, or deal-stage audit trail. You build spreadsheets to work around it. By 500 contacts, you are no longer using Notion as a CRM. You are manually maintaining a database that resembles one. Step 1: Export your Notion database (Days 1–2) Notion's export is clean but flat. Here's what you need to do: Open your Contacts table in Notion. Do not try to export views or filtered states. Export the full table. Click the three dots (top right) → Download → CSV. Notion will generate a download link within seconds. Check the CSV in a text editor or spreadsheet app. Look for columns that show [Relation] , [Rollup] , or [Formula] in the header. These are your orphaned fields. Save a backup. Name it notion_contacts_YYYY-MM-DD_original.csv . Do not modify it yet. At this stage, you'll see a CSV with one row per contact. Relational fields will either show a concatenated list (e.g., "Deal 1; Deal 2") or be blank. That's expected. You'll rebuild the relationships in Orin. Step 2: Field-by-field mapping (Days 3–5) This is where the work lives. You must map every Notion column to an Orin field. Some fields migrate cleanly. Others need manual transformation. Clean mappings (copy as-is) Name → Contact First Name + Last Name (split if needed) Email → Email Phone → Phone Company → Account / Company (depending on your structure) Title → Job Title Created Date → Created Date Fields that need transformation Notion: Status (select field) → Orin: Contact Status or Deal Stage (decide which table owns the status) Notion: Tags (multi-select) → Orin: Tags (Orin supports these natively) Notion: Notes (text) → Orin: Notes field or Activity feed (decide on re-import) Notion: Custom fields (any formula, rollup, or relation) → Orin: Custom Fields (set up in Orin first, then map) Relational fields (the hard part) Notion exports relations as text strings. If your Contacts table has a "Deals" column that links to your Deals table, Notion will export it as: Deal 1; Deal 2; Deal 3 In Orin, this relationship is bidirectional: a Contact links to multiple Deals, and each Deal links back to that Contact. You cannot recreate this from the CSV alone. Instead: Export your Deals table from Notion separately. Use the same process as above. In Orin, set up your Accounts/Contacts/Deals structure first. Orin's CRM module lets you define custom relationships before import. Create a mapping spreadsheet: For each contact, list all deals associated with it. For each deal, list the primary contact. This becomes your re-linking guide during import. You will manually verify these links after the import. This is not instant, but it is the only way to preserve relationship depth. Step 3: Import into Orin (Days 6–10) Orin's import wizard handles CSV files natively. Here's the sequence: In Orin, go to Contacts. Look for the Import button (usually top right of the contacts list). Select your cleaned CSV file. Orin will preview the columns and ask you to map them to your Orin fields. Map each column: Select the Orin field that matches each Notion column. Leave unmapped columns blank (Orin will not import them). Check for duplicates. Orin will offer to match on email or phone. Let it run. Review any conflicts before confirming. Set ownership. Orin will ask who owns each contact. You can bulk-assign by import or set it manually later. Import. Orin will create all contacts in one batch. This takes seconds for 500 contacts. After import, do not assume your data is clean. Spend Day 8–9 spot-checking 50 random contacts. Look for: Names split correctly (first + last) Email and phone populated Company/Account linked properly Custom fields populated (if they were in the CSV) Tags imported If you find systemic issues (e.g., all titles are blank), re-run the import with a corrected CSV. Orin lets you re-import to the same table if you have not yet started using it in production. Step 4: Rebuild re