Migrate from Pipedrive to Attio when your CRM needs to do more than manage a pipeline
We help teams migrate from Pipedrive to Attio when pipeline management alone isn't enough. If you're considering the switch, we'll show you what migrates cleanly, what needs strategy, and how to avoid surprises.
Built for more than pipelines
Why teams move off Pipedrive
Pipedrive is opinionated about pipeline management, and for a classic sales motion (deals moving through stages) it works well. Teams leave when the business grows past that. Here's what we keep hearing.
- Relationship modeling. In Pipedrive, a person record has a single organization association (stored as an organization ID), which makes multi-company relationships awkward to represent. In Attio, you can model multi-company relationships using relationship attributes (including multi-value relationships) and filter across linked records. If you need role/context per association, we typically model it with a lightweight join object (e.g., “Affiliations” or “Roles”).
- A CRM as more than a pipeline tracker. Pipedrive wasn't built for custom objects, complex relationship mapping, product usage data flowing in from other systems, or reporting across multiple entity types. Attio was.
The full picture
What the migration involves
Pipedrive migrations are straightforward if you know where the gotchas are. A few things need to be confirmed before kickoff: the person running the export has global admin access, Drive-linked files have been inventoried, and any multi-organization workarounds have been identified.
| What's different | How we handle it | |
|---|---|---|
| People Caveats | What's different In Pipedrive, a person record has a single organization association (via an organization ID), so multi-company relationships are typically handled through workarounds. In Attio, you can represent multi-company relationships using relationship attributes; if you need role/context per company association, that’s usually best handled with a join object. | How we handle it The data exports cleanly, but any multi-company workarounds need to be re-modeled in Attio using relationship attributes (or a join object where role/context matters). Identifying these cases upfront saves time during schema design. |
| Companies (Organizations) Direct mapping | What's different Pipedrive Organization records include standard and custom fields, linked to people and deals. Attio automatically enriches company records (e.g., logos, descriptions, social profiles) and keeps enriched attributes updated. Attio also detects potential duplicates using company domains. | How we handle it Custom fields come over as attributes. Attio's native enrichment fills gaps that required manual upkeep or third-party tools in Pipedrive. |
| Deals Direct mapping | What's different Both platforms support deal records with pipeline stages, values, and associated people/organizations. Multiple pipelines supported on both. | How we handle it Stages, values, and associations all translate cleanly. Pipeline structure carries over. |
| Activities & Notes Caveats | What's different Pipedrive stores activities (calls, meetings, tasks) and notes as separate objects linked to deals and contacts. Attio uses notes and tasks with record associations, and the activity stream captures email and calendar data from connected accounts. | How we handle it Pipedrive stores activities (calls, meetings, tasks) as structured records linked to deals and contacts. Attio’s native activity stream is driven mostly by connected email and calendar, and it doesn’t support importing third-party call/meeting activity directly into that stream via API. When we migrate that history, we preserve it by posting the activity metadata as notes (or a custom activity object when needed) and attaching it to the relevant people, companies, or deals. |
| Email & Calendar Caveats | What's different Pipedrive offers email sync via connected inboxes and calendar sync on higher plans. Attio's inbox and calendar sync pulls existing history when users connect, including backfill. | How we handle it Active employees’ email history will reappear once they connect their inbox to Attio because Attio backfills prior correspondence automatically. The gap is departed employees: if a mailbox is disconnected or no longer exists, that history won’t resurface via sync. To preserve continuity, we typically export Pipedrive activity and email metadata into Attio as notes (or, if preferred, a custom “Activity” object). Pipedrive exports the key metadata, but it won’t recreate full email thread bodies inside Attio, since Attio doesn’t support importing third-party email content into its activity stream via API. |
Repeatable, automated, low-risk.
Our Pipedrive to Attio migration playbook
We run migrations with a standardized process backed by internal tooling. That’s how we keep timelines short while staying rigorous on data integrity, verification, and cutover.
A few things to know up front:
- We upsert using Pipedrive legacy IDs. Imports are keyed on Pipedrive record IDs, not Attio identifiers like email or domain. This preserves relationships, supports multiple passes without duplicates, and makes completeness checks deterministic. You can’t replicate this with Attio’s CSV importer, so we use custom tooling and keep improving it.
- We merge at the end. Merging removes legacy IDs. If we merge early, we lose our upsert keys and our ability to verify the final import. Our sequence is: import, verify, then merge.
- The first import is intentionally static. We validate structure and coverage first. We typically hold off on file linking, reporting, and non-essential integrations until after cutover to avoid rework while the workspace is still changing.
- Start ~60 days before renewal. That leaves enough time to migrate, train, and stabilize before you need to give notice.
The migration workflow
1. Attribute audit
We pull fields and custom attributes from Pipedrive (including separately exported activities, notes, and files) and produce a spreadsheet with type, location, and sample values. You decide what stays vs. what gets retired. This is also where we confirm admin access and inventory any Drive-linked files.
2. Schema creation and static import
We build the Attio schema and run a full static import. This is where we translate Pipedrive’s model into Attio’s relationships and ensure everything lands cleanly.
3. Configuration, training, and feedback
We set up the workspace (lists, views, reporting basics) and the integrations needed for day one, then train the team. Users connect inboxes/calendars so email history begins backfilling, and we help them configure email-sharing preferences (full visibility, metadata-only, or existence-only).
4. Final cutover
We schedule a short blackout window (often a Sunday), run a fresh Pipedrive export (including the separate activity/note/file pulls), then upsert into Attio to capture everything that changed since the static import. Legacy IDs remain intact so we can verify completeness across objects.
5. Deduplication and merge
After we confirm the final import, we dedupe and merge records, handle edge cases, and finalize the workspace. At that point, Attio becomes the source of truth.
6. Phase two (optional)
Any additional integrations, automations, and advanced reporting that weren’t required for day one. Many teams run Attio for a few weeks before scoping this; we can support it on an ongoing basis if useful.
Timeline: typically 2-4 weeks from kickoff to go-live. These are usually on the simpler end, but the timeline can slow down if client feedback is slow.
Ready to migrate?
Book a 30-minute discovery call and we’ll sanity-check your schema, flag the data risks (email history, attachments, interactions), and outline a cutover plan.