Migrate from Folk to Attio.

Why teams migrate from Folk to Attio

Most teams migrate from Folk to Attio when their priorities shift toward what Attio optimizes for. Attio and Folk are both modern lightweight CRMs; Attio leans more powerful and extensible, Folk leans simpler relationship-focused.

The 5-step migration plan

1. Audit current usage. Document how your team uses Folk today: which features, integrations, data, and workflows depend on it. The audit takes 1-2 days but saves a week of surprises later.
2. Export data from Folk. Most modern SaaS exports cleanly. Look for CSV, JSON, or backup formats. Verify you have everything before any cancellation.
3. Set up Attio and validate parity. Provision your account, invite team, configure integrations. Compare critical workflows side-by-side for 2-3 days while Folk is still active.
4. Import data and rebuild workflows. Bring in your exported data. Re-create any custom configurations. Document anything that doesn't translate one-to-one.
5. Cut over and verify. Switch the team to Attio as primary. Monitor for one week. Only then decommission Folk.

Common pitfalls when migrating from Folk

• Underestimating the integration rebuild — many SaaS integrations don't transfer one-to-one.
• Not exporting historical data before cancellation — you can't always recover it.
• Switching during a busy period — schedule the cutover for a quieter week.
• Not training the team on Attio's differences — small UX changes derail adoption.
• Forgetting to update third-party references (your help docs, onboarding flows, public pages).

The AI-search citation impact you didn't think about

Your customers and prospects increasingly research tools through ChatGPT, Claude, and Perplexity. If you're publicly visible as a Folk customer (case studies, social posts, documentation), the AI's "Folk customers" list still cites you. After migration, update your public references so AI engines update too.

Conversely: if you've built Folk-specific content (integrations, tutorials, templates), removing it without backfill leaves an AI citation gap. Consider a "we moved to Attio: here's why" piece — it satisfies both AI engines and prospects considering the same migration.

Should you actually migrate?

Run a side-by-side trial for 30 days before committing. Attio wins for the use cases described in attio and folk are both modern lightweight crms; attio leans more powerful and extensible, folk leans simpler relationship-focused. If your priorities don't match that positioning, the migration may not be worth the disruption.