Certified Attio Experts

Pipedrive to Attio migrations

We migrate sales teams from Pipedrive to Attio when the CRM needs to do more than track a pipeline. What moves cleanly (companies, deals, custom fields), what needs a model change (multi-org people relationships, activities), and how the cutover stays defendable.

At a glance

Last verified June 2026

Typical timeline
2–4 weeks kickoff to go-live
When to start
60+ days before Pipedrive renewal
Imports keyed on
Pipedrive legacy record IDs
Multi-org workarounds
Re-modeled with relationship attributes
Activities + notes
Migrated as notes (or custom Activity object)
Email history
Native sync; metadata-only for departed users

Why teams move

Why teams move off Pipedrive

Pipedrive is opinionated about pipeline management. For a classic sales motion (deals moving through stages) it works well. Teams leave when the business grows past that.

01 · Relationship modeling

Single-org constraint

In Pipedrive, a person record has a single organization association (stored as an organization ID). Multi-company relationships get awkward. Attio supports multi-value relationship attributes; per-association context lives on a lightweight join object.

02 · Beyond pipeline

More than a pipeline tracker

Pipedrive was not built for custom objects, complex relationship mapping, product-usage data flowing in from other systems, or reporting across multiple entity types. Attio was.

03 · API surface

API-first data model

Attio was built API-first against a single data model, which makes integration code shorter and easier to reason about. For teams building custom integrations or complex automation, the consistency adds up.

Object by object

What migrates from Pipedrive to Attio

Direct mapping (carries over cleanly), Caveats (needs a schema decision or rebuild), Unavailable (cannot transfer; plan around it).

Organizations (Companies)

Direct mapping

What's different

How we handle it

Deals + pipelines

Direct mapping

What's different

How we handle it

People

Caveats

What's different

How we handle it

Activities

Caveats

What's different

How we handle it

Notes

Direct mapping

What's different

How we handle it

Email + Calendar history

Caveats

What's different

How we handle it

Custom fields

Direct mapping

What's different

How we handle it

Files + attachments

Caveats

What's different

How we handle it

Workflow Automations

Caveats

What's different

How we handle it

Reporting

Caveats

What's different

How we handle it

Migration playbook

How we run the migration

We use three principles and six numbered steps to run a typical 2 to 4 week Pipedrive migration. Pipedrive migrations are usually on the simpler end of the work, and the upfront kickoff sets the dated plan.

Upsert on Pipedrive legacy IDs

Imports keyed on Pipedrive record IDs, not on email or domain. Multiple passes never duplicate. Completeness checks are deterministic.

Merge at the end

Merging removes legacy IDs, so we import everything, confirm coverage, and then run deduplication and merge once.

Re-model workarounds

Multi-org workarounds and other constraint-driven patterns get re-modeled in Attio, not ported verbatim. Migration is the moment to fix the model.

  1. 01

    Kickoff and attribute review

    We start with a working session to agree on the data model and confirm scope. The engineering team walks every field and custom attribute in Pipedrive, including separately exported activities, notes, and files, and decides what stays, what gets renamed, and what gets retired. We also identify multi-organization workarounds early so they get re-modeled instead of carried over.

  2. 02

    Schema build and static import

    We translate the Pipedrive model into Attio relationships and run the first import as a dry run. The import is keyed on Pipedrive legacy record IDs so that completeness checks stay deterministic across multiple passes.

  3. 03

    Configuration, training, and feedback

    We configure lists, views, and day-one integrations, and then the team connects their inboxes so interaction history can backfill. We set email-sharing preferences before launch, choosing between metadata-only, subject plus metadata, or full access.

  4. 04

    Cutover

    Cutover happens in a short blackout window, usually on a Sunday. We run the final Pipedrive export, including the separately exported activity, note, and file pulls, and then upsert the delta against the legacy record IDs. We validate the result against record counts, per-field population, and value-level spot checks.

  5. 05

    Workflow rebuild and deduplication

    We rebuild the workflows the team actually depends on, and the rest get retired. We then run the deduplication pass through Attio's Duplicate Detection app, the team reviews the matches, and we bulk merge through our tooling. The legacy record IDs are removed once the merge is complete.

  6. 06

    Phase two (optional)

    Phase two covers the deeper integrations, advanced reporting, and the warehouse plus BI layer for reporting beyond native dashboards. Most teams run Attio for a few weeks before deciding which of these are worth scoping.

Guides

Go deeper, by stage of the migration

Browse all guides

Pipedrive to Attio migration FAQ

How long does a Pipedrive to Attio migration take?
What happens to person records with multiple organizations?
How are Pipedrive activities migrated?
Does email history transfer from Pipedrive to Attio?
Will our Pipedrive custom fields come over?
What about Pipedrive workflows and automations?
What does the migration cost?
Can you handle multiple Pipedrive companies or workspaces?

Other migrations

Moving from a different CRM?

All migrations

Ready to scope your Pipedrive migration?