How to Migrate from Monday CRM to Pipedrive
Monday's boards can be anything, which is why nobody's Monday CRM looks like anybody else's. Turning that into Pipedrive's fixed Organization / Person / Deal model is a modelling exercise before it is a data one.
- Difficulty
- Moderate
- Typical duration
- 1–2 weeks
- Downtime
- None — Monday stays live during export
- Native importer
- No — CSV export per board, or the Monday API
| Monday CRM | maps to | Pipedrive | What to watch |
|---|---|---|---|
| Accounts board (items) | Organization | Whichever board holds companies. Add a domain or website column before export so records are identifiable. | |
| Contacts board (items) | Person | Needs an email column to be useful. Monday does not require one, so expect gaps. | |
| Deals board (items) | Deal | Monday groups usually correspond to stages. Map each group to a Pipedrive stage explicitly before import. | |
| Group | Pipeline stage | The most common mapping, but verify — some teams use groups for time periods or owners instead of stages. | |
| Connect boards column | Linked organization / person | Export the linked item IDs and rebuild the relationship in Pipedrive after both objects load. | |
| Status / Dropdown column | Custom field (single option) | Recreate every option in Pipedrive before import, including the colour conventions your team reads as meaning. | |
| Updates (item conversation) | Note | Only reachable through the Monday API — the CSV export omits them. | |
| Mirror / Formula column | — (recompute) | Computed at read time and exports empty. Snapshot the values into a static column before exporting. |
What transfers cleanly
- Item names and column values from each board via CSV export.
- Numeric, date, text and dropdown columns, once matching Pipedrive custom fields exist.
- People-column owners, if Monday users have Pipedrive seats with matching emails.
- Board-to-board relationships, using exported item IDs.
- Item Updates as Pipedrive notes, via an API export.
What doesn't come across
- Mirror and formula columns. These export empty. Snapshot them to a static column first or the values are lost.
- Board automations. No export path. Rebuild the ones that matter as Pipedrive automations.
- Dashboards and widgets. Rebuild in Pipedrive Insights.
- File columns. Files need a separate API pull and re-upload; the CSV gives URLs, not files.
- Subitems. No Pipedrive equivalent. Checklist-style subitems become activities; product-style subitems become deal products.
- Multiple boards holding the same entity. Teams commonly have contacts spread over several boards; consolidating them is a data-hygiene project.
Migration order that works
- Write the board-to-object map first: which board becomes Organizations, Persons and Deals, and which boards merge or retire.
- Verify what your groups actually represent — stages, time periods, or owners. Only the first maps to Pipedrive stages.
- Snapshot every mirror and formula column into a static column before exporting.
- Add email and domain columns where they are missing, while you still have board context.
- Create Pipedrive pipelines, stages, custom fields and activity types matching your Monday structure.
- Export each board to CSV keeping item IDs, then import Organizations, Persons and Deals in that order.
- Rebuild relationships from the exported connect-board IDs, then pull Updates via the API as notes.
Monday is a work platform with a CRM template on top, not a CRM. That is its strength and it is the entire complication here: Pipedrive expects an organization to be an organization, and Monday only knows you have a board with items on it.
Model first, export second
Before touching a single export, write down the mapping. Which board becomes Organizations. Which becomes Persons. Which becomes Deals. Which boards contain overlapping data that needs merging. Which boards are retired entirely.
Teams that have run Monday for a couple of years almost always have contact data scattered across a main CRM board, a partnerships board, an events board and someone's private pipeline. Import all four and Pipedrive gives you four versions of the same person, with no way to tell which one has the real history.
An hour spent on this document saves a week of cleanup.
Check what your groups actually mean
The convenient assumption is that Monday groups equal pipeline stages, and most CRM-style boards do work that way. But groups are just containers — plenty of teams use them for quarters, for deal owners, or for priority tiers.
Look before you map. If groups are not stages, you need a status column to drive Pipedrive stages instead, and the groups become a custom field or nothing at all.
Computed columns are the silent loss
Mirror columns and formula columns look like data in the interface and export as empty cells. If a deals board shows account revenue through a mirror column, or a health score through a formula, those values exist only at read time.
Copy them into plain columns before exporting. It takes minutes and it is genuinely unrecoverable once the board is gone.
Fill in what Monday never required
Monday does not insist on an email address for a contact or a domain for a company. Pipedrive does not strictly require them either, but without them your records are hard to deduplicate, hard to enrich and hard to match against email sync.
Fill the gaps in Monday, where the surrounding board context tells you which "Acme" this is. Doing it afterwards means guessing.
Updates need the API
The item conversation thread — where most of the actual customer context lives on a well-used Monday board — is not in the CSV export. It is only available through the API. If that history matters, budget for a scripted pull and import them as Pipedrive notes against the right records.