CRM migration
Field-level mapping, validation, and rollback between folk and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
folk
Source
monday CRM
Destination
Compatibility
7 of 9
objects map 1:1 between folk and monday CRM.
Complexity
BStandard
Timeline
2-3 weeks
Overview
Moving from folk to Monday.com CRM is a structural remapping from a Group-and-Contact two-layer model to a Board-and-Item model with CRM-specific columns. Folk has no public bulk API, so we extract via CSV from each Group individually, which excludes attachment files, relationship graph data, Magic Field AI-generated values, and email campaign performance history. We enumerate every Group's custom field schema during discovery because custom fields in folk are defined per-Group rather than globally — a Contact in the Leads Group may carry fields that do not exist in the Clients Group, requiring per-Group field maps. Monday.com's CRM Boards use item types (People, Companies, Deals) to structure data, and we map each folk Group to a corresponding Board and set of columns before importing records. Workflows, email sequences, and Magic Field automations do not migrate; we deliver a written inventory of these for the customer's admin to rebuild in Monday.com's Automation Center.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a folk object lands in monday CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
folk
Contact
monday CRM
People Item
1:1Folk person-type Contacts map directly to Monday.com CRM People items. We extract each person's name, email, phone, social handles, and subtype from the CSV export and map to the corresponding People column type. Custom fields on the contact are mapped to Monday.com text, number, date, or dropdown columns on the Board based on detected value type. If a Contact belongs to multiple Groups, we preserve all group memberships as Tags or a multi-select column, not as separate item duplicates.
folk
Company (Contact Subtype)
monday CRM
Company Item
1:1Folk Companies are a contact subtype stored as separate records. We map them to Monday.com CRM Company items, preserving company name, domain, industry, size, and any custom fields. Person-type Contacts at the same company are linked via Monday.com's two-way Company relationship column during import, which resolves the manual linking gap in folk's data model.
folk
Group
monday CRM
CRM Board
1:1Each folk Group maps to a dedicated Monday.com CRM Board. We enumerate the Group's field schema during discovery and create matching columns on the destination Board before importing. Group membership (which contacts belong to a given Group) is preserved as Tags on the Monday.com items or as a Group Name column value. Pipeline stages within a Group become Deal pipeline stages in Monday.com CRM.
folk
Custom Fields (per-Group)
monday CRM
Board Columns
lossyFolk custom fields are defined per-Group, not globally. We enumerate every Group's field schema during discovery, generate a per-Group field map, and create equivalent Monday.com Board columns (text, number, date, dropdown, checkbox, link-to-URL, etc.) before any record import. When a Contact spans multiple Groups with conflicting field definitions, we apply the field map for the primary Group and flag the conflict for customer review.
folk
Tags
monday CRM
Tags
1:1Folk tags migrate as Tags on Monday.com CRM items. Tags are stored as a string array in the CSV export and map directly to Monday.com's native tag field. If the customer uses tags for segmentation, we recommend verifying the tag count against Monday.com's tag limits on the selected tier before migration.
folk
Notes
monday CRM
Updates
1:1Folk Notes are attached to contacts and contain plain text plus timestamps and author attribution. We migrate notes as Updates on the corresponding Monday.com People or Company item. Author attribution is preserved in the Update text or as a tag. Notes with attachments map to Files linked to the item via Monday.com's file column.
folk
Reminders
monday CRM
Tasks
1:1Folk Reminders carry a due date, assignee, and text body. We migrate reminder text and due date to Monday.com Tasks attached to the relevant item. Assignee mapping requires resolving the user's email identity between folk and Monday.com — any Reminder assigned to an unprovisioned Monday.com user is held in a reconciliation queue for the customer's admin.
folk
Pipeline Views
monday CRM
Deal Stages
lossyFolk pipeline views are per-Group and define deal stages with custom probabilities. We map each folk pipeline to a Monday.com CRM Deal pipeline with corresponding stages and probability values. Custom stage ordering and stage-specific fields migrate as Deal column configurations on the Board.
folk
Attachments
monday CRM
Files
1:1Folk contact attachments are exported as URLs or file references via CSV. We attempt to download and re-upload files to Monday.com's file column where the destination supports it. File size limits vary by Monday.com plan — Standard includes 20GB, Pro includes 100GB. Attachments that exceed plan limits or use unsupported formats are flagged for the customer to handle manually post-migration.
| folk | monday CRM | Compatibility | |
|---|---|---|---|
| Contact | People Item1:1 | Fully supported | |
| Company (Contact Subtype) | Company Item1:1 | Fully supported | |
| Group | CRM Board1:1 | Fully supported | |
| Custom Fields (per-Group) | Board Columnslossy | Fully supported | |
| Tags | Tags1:1 | Fully supported | |
| Notes | Updates1:1 | Fully supported | |
| Reminders | Tasks1:1 | Mapping required | |
| Pipeline Views | Deal Stageslossy | Mapping required | |
| Attachments | Files1:1 | Mapping required |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
folk gotchas
No public bulk API for automated migration
Per-group custom fields create schema fragmentation
Workspace-wide AI credit limits affect all seats
Contact–company linking is not automatic
Email campaign history not exported
monday CRM gotchas
Subitems are not included in bulk exports
Daily API call limits vary sharply by plan
Legacy automations (Sentence Builder) are being deprecated
Excel and account exports only include table views
Enterprise admins can disable non-admin exports
Pair-specific challenges
Migration approach
Discovery and CSV extraction audit
We audit every Group in the folk workspace, enumerate each Group's custom field schema, count Contacts by subtype (person/company), identify all tags in use, and note attachment volume and file size distribution. We also extract sample CSV rows from each Group to validate field type detection and identify fields that carry empty values across large portions of the dataset. This step produces the per-Group field map and identifies which Groups require a Deal pipeline configuration versus a simple contact list.
Monday.com CRM Board configuration
We create the Monday.com CRM Board with the correct item types (People, Companies, Deals) and pre-create all columns matching the enumerated folk field schemas. We configure Deal pipelines with stages and probabilities sourced from each folk pipeline view. Column type selection (text, number, date, dropdown, link-to-URL, etc.) is validated against the folk field types detected during discovery. The Board is created in a Monday.com workspace that the customer designates for migration before any record data is loaded.
Data cleansing and deduplication pass
We run a deduplication pass on the extracted CSV data using email address as the primary key and company name as the secondary key. Folk's manual contact-company linking means some Contacts may reference a company record that shares the same name — we resolve these to Monday.com's two-way Company relationship. We flag duplicate email addresses for the customer's admin to resolve before import and apply a customer-approved resolution rule (newest wins, preserve all, or merge) if no decision is made within the scoping window.
Company item import first
Folk company-type Contacts are imported into Monday.com CRM as Company items before any People items are loaded, because Monday.com's People items link to Company items via a relationship column that requires the Company record to exist. We import Companies first, resolve any deduplication conflicts, validate the count against the source extraction, then proceed to People item import with the Company relationship column populated.
People item and relationship link import
We import person-type Contacts as Monday.com CRM People items, mapping all standard fields (name, email, phone, social handles) and all per-Group custom fields to the matching Board columns. For each Contact that references a Company in folk, we populate Monday.com's Company relationship column with the corresponding Company item. Group membership is preserved as Tags on each item. Reminder text and due dates migrate as Tasks linked to the item.
Cutover, delta sync, and automation rebuild handoff
We freeze folk writes during cutover, run a final delta import of any records modified during the migration window, then enable Monday.com CRM as the system of record. We deliver the Magic Field and sequence inventory document to the customer's admin team for rebuild in Monday.com's Automation Center. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team.
Platform deep dives
folk
Source
Strengths
Weaknesses
monday CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across folk and monday CRM.
Object compatibility
2 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
folk: Not publicly documented.
Data volume sensitivity
folk doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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FAQ
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