Pipedrive to Attio: a step-by-step migration guide

Short answer: To migrate from Pipedrive to Attio: rebuild the data model in Attio (Persons, Organizations, Deals, plus any custom objects); export from Pipedrive as CSV; import into Attio with column mapping; recreate workflow automations in Attio Workflows or middleware (Make, Zapier, n8n); rebuild filters as Lists. The CSV move takes hours. The model rebuild takes 1-2 weeks for most teams.

Why teams move from Pipedrive to Attio

Pipedrive is a strong pipeline-first CRM. It stops being enough when the business needs the CRM to do more than move deals through stages.

The most common reasons teams switch:

• The data model is too narrow. Contacts, organizations, and deals no longer cover how the business actually works.
• Custom objects and richer relationships become a hard requirement.
• Reporting needs to reflect the real process, not a standard pipeline view.
• The team wants one workspace for sales, success, and operations.

If your team is still inside a clean sales-only motion, Pipedrive is probably fine. If any of the points above sound familiar, Attio starts to make more sense. The deeper comparison lives in the Pipedrive vs Attio post.

This guide covers the migration itself.

Rebuild the data model before you export

This is the step most teams skip. It is the one that decides whether the migration is clean or messy.

A Pipedrive account that has been used for a couple of years usually carries custom fields, pipelines, and workflows that made sense at one point and no longer do. Moving all of that into Attio recreates the same mess in a new tool.

Before any data moves, answer three questions:

1. Which objects do you actually need? People and Companies for sure. Deals in most cases. Which custom objects carry real business logic, and which are dead weight?
2. Which fields matter? For each object, which fields are used in views, reports, automations, or daily work? Everything else is a candidate for deletion.
3. Which relationships matter? How do records connect to each other, and which of those connections need to come across?

Do this on a whiteboard before you touch Pipedrive. The result almost always cuts the field count by at least 40%.

Step 1: Export the data from Pipedrive

Pipedrive gives you two main options:

• Full export from Settings. Covers people, organizations, deals, activities, notes, and files. Good for a clean snapshot.
• Filtered exports per object, using list views. Better when you want to export only a subset, for example active deals only.

Export each object as a separate CSV: People, Organizations, Deals, plus any custom objects and Activities. Keep the Pipedrive IDs in the export. You will need them to reconnect records on the Attio side.

Export notes and files separately if the team relies on them. Attio supports both, but they need to be loaded in a second pass.

Step 2: Prepare the Attio workspace

Build the object structure in Attio first, before any import.

Attio's standard objects, People, Companies, and Deals, map cleanly to Pipedrive's People, Organizations, and Deals. Custom objects in Pipedrive become custom objects in Attio. This mapping is almost always one to one.

For pipelines, Attio uses statuses on the Deals object. Recreate Pipedrive pipeline stages as statuses, in the same order, with the same names. Reporting continuity stays intact.

Set up the fields and relationships you decided to keep. Leave the ones you decided to drop behind.

Step 3: Clean the CSVs

This is the part that saves the most time later.

Before import, run a cleanup pass on each CSV:

• Remove duplicate records. Pipedrive exports often include merged or near-duplicate people and companies.
• Standardize enumerated fields. Pick one spelling for each status, industry, source, and owner.
• Normalize phone numbers and dates to a single format.
• Delete fields that nobody uses. If it was not on your list from the data model exercise, it does not go in.

An hour on cleanup saves a day of fixes after import.

Step 4: Import into Attio

Attio supports CSV imports directly in the UI. For each object:

1. Upload the CSV.
2. Map each column to the matching Attio field.
3. Use the Pipedrive ID as an external identifier so records can be relinked later.
4. Run the import and spot-check 10 to 20 records.

Import in order: Companies first, then People linked to Companies, then Deals linked to both. Activities, notes, and custom objects go last, after everything they depend on already exists.

For larger datasets, or when multiple custom objects need to be related in bulk, Attio's API handles the job cleanly. Use it whenever you are moving more than a few thousand records or several related objects.

Step 5: Rebuild automations

Pipedrive workflows do not translate to Attio one to one. Do not try to port them. Rebuild from scratch based on what the team actually needs now.

Common ones to rebuild first:

• New lead assignment by owner or territory.
• Stage-change triggers that create tasks or send messages.
• Deal-won notifications into Slack or email.
• Activity creation from calendar or email sync.

Attio's automation builder is simple enough that the core set takes an hour or two to rebuild. Most teams finish this step with fewer, cleaner automations than they had in Pipedrive.

Step 6: Rebuild reports as views and dashboards

Pipedrive reports do not migrate. Attio handles reporting through views, filtered lists, and dashboards.

For each Pipedrive report that someone actually opens, recreate it as an Attio view or dashboard widget. Most teams find that a big share of their old reports were never opened. Those stay behind.

Step 7: Cutover

Run both systems in parallel for a week. The team works in Attio. Pipedrive stays read-only as a reference.

At the end of the week, archive Pipedrive. Keep read access for 30 to 60 days in case something needs to be checked. Cancel the subscription after that, not before.

Traps to avoid

• Migrating every field. If every custom field comes across, Attio ends up as cluttered as the old Pipedrive account. Prune hard.
• Porting every workflow. Same rule. Rebuild from scratch.
• Skipping the data model step. This is the single biggest cause of a painful migration.
• Cancelling Pipedrive too early. Keep read access for a month or two. It is cheap insurance.
• Losing Pipedrive IDs in the export. If a reimport is needed, those IDs are the only reliable way to reconcile records.

How long does a Pipedrive to Attio migration take?

For a typical small or mid-size team, under 30 users, a few custom objects, moderate data volume, budget 1 to 3 weeks end to end. The data movement itself takes a few days. Most of the time is the data model rebuild and the automation rework.

Larger accounts, or teams with heavy customization and external integrations, can push to 4 to 6 weeks.

Want help with the migration?

If you want a second pair of eyes on your migration plan, or you want it done for you, book a call or see the full Pipedrive to Attio migration service.

If you are still evaluating the move, try Attio with a 10% discount and start the data model exercise on your own. Even if the migration does not happen, the exercise is worth doing.

Free audit of your Attio workspace

If you want a second pair of eyes on your Attio setup, I run a free 48-hour audit. You add me to your workspace as an Attio expert, no extra seat and no billing. I send back a one-page written teardown ranked by impact, the three highest-leverage fixes with the exact setting change, and a 5-minute Loom walking through the top fix. No call, no pitch. 5 slots a week.

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