CRM migration

Migrate from folk to monday CRM

Field-level mapping, validation, and rollback between folk and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.

folk logo

folk

Source

monday CRM

Destination

monday CRM logo

Compatibility

78%

7 of 9

objects map 1:1 between folk and monday CRM.

Complexity

BStandard

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

folk logo

folk

What's pushing teams away

  • Internal automation between contact and company fields requires manual field mapping — contacts and companies do not auto-link in folk, causing data duplication for teams with strong account-based motions.
  • Reporting is limited compared to Pipedrive or HubSpot — deal dashboards and pipeline analytics shipped recently but still lag behind pipeline-first CRMs on forecasting and cohort analysis.
  • Workspace-wide AI credit limits mean one heavy automator can exhaust Magic Field credits for the entire team, causing unexpected feature lockouts mid-month.
  • No public bulk API documented for programmatic export — teams with thousands of records rely on multi-step CSV extraction, which breaks for attachments and relationship graphs.
  • Some users report bugs with document attachments and slower performance when contacts exceed 5,000 records in a single group.

Choosing

monday CRM logo

monday CRM

What's pulling them in

  • Users praise the board-based visual interface for making pipeline stages immediately legible to non-technical team members without CRM training.
  • The no-code automation builder lets sales ops teams create lead routing, stage updates, and email triggers without developer involvement.
  • Integration ecosystem connects to Slack, Gmail, Outlook, and Zapier with minimal configuration, reducing friction for teams already using these tools.
  • The flexible column system lets teams build custom CRM views — deal value, close date, lead source — without needing a developer or pre-defined schema.
  • Teams already using monday Work Management can layer CRM features onto existing boards rather than starting from scratch.

Object mapping

How folk objects map to monday CRM

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

maps to

monday CRM

People Item

1:1
Fully supported

Folk 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)

maps to

monday CRM

Company Item

1:1
Fully supported

Folk 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

maps to

monday CRM

CRM Board

1:1
Fully supported

Each 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)

maps to

monday CRM

Board Columns

lossy
Fully supported

Folk 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

maps to

monday CRM

Tags

1:1
Fully supported

Folk 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

maps to

monday CRM

Updates

1:1
Fully supported

Folk 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

maps to

monday CRM

Tasks

1:1
Mapping required

Folk 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

maps to

monday CRM

Deal Stages

lossy
Mapping required

Folk 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

maps to

monday CRM

Files

1:1
Mapping required

Folk 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.

Gotchas + challenges

What specifically takes care here

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 logo

folk gotchas

High

No public bulk API for automated migration

Medium

Per-group custom fields create schema fragmentation

Medium

Workspace-wide AI credit limits affect all seats

Low

Contact–company linking is not automatic

Low

Email campaign history not exported

monday CRM logo

monday CRM gotchas

High

Subitems are not included in bulk exports

High

Daily API call limits vary sharply by plan

Medium

Legacy automations (Sentence Builder) are being deprecated

Medium

Excel and account exports only include table views

Low

Enterprise admins can disable non-admin exports

Pair-specific challenges

  • No bulk API in folk forces per-Group CSV extraction

    Folk has no publicly documented REST or GraphQL bulk API for programmatic record extraction. We must rely on CSV exports from each Group individually, which excludes attachment files, relationship graph metadata, Magic Field-generated values, and email campaign performance history. We request multi-step CSV exports covering all Groups and warn customers that email campaign sent count, open rate, and click rate cannot be extracted. Where Monday.com supports it, we re-import via CSV with field-level validation, but attachment files require URL round-tripping which is plan-dependent.

  • Per-Group field schemas fragment the field map

    Custom fields in folk are defined per-Group rather than globally. A Contact in the Leads Group may have a 'Lead Score' field that does not exist in the Clients Group. During migration, we enumerate every Group's field schema during discovery and generate a per-Group field map before importing. Contacts that appear in multiple Groups with conflicting field definitions require conflict-resolution logic. We flag these cases during scoping and apply a customer-approved resolution rule (primary Group wins, merge all fields, or deduplicate).

  • Contact-company links are manual in folk and must be rebuilt

    Folk does not auto-link person-type Contacts to company-type Contacts at the same organization. Any manually established relationship links in folk are preserved as relationship field values in the CSV export, which we map to Monday.com's two-way Company relationship column. Links that were never established cannot be inferred during migration — we flag the orphaning risk for the customer's admin to address post-migration by matching contacts to companies by domain or name.

  • Monday.com's item type selection must precede data import

    Monday.com CRM Boards use item types (People, Companies, Deals) to structure data. The item type selection determines which CRM-specific columns (email tracking, deal value, deal stage) are available by default. We configure the CRM Board with the correct item types before importing, but item type changes after data is loaded require re-import. We confirm item type selection with the customer during discovery and document the chosen configuration before migration begins.

  • Workflows, Sequences, and Magic Fields do not migrate

    Folk's Magic Field automations and email sequences are not migratable — Magic Fields are AI-generated values computed at query time, not stored data, and sequences are cadence logic with no Monday.com equivalent. We deliver a written inventory of every active Magic Field and sequence with its trigger and recommended Monday.com Automation Center replacement so the customer's admin can rebuild post-migration. This handoff document is standard scope for every folk migration.

Migration approach

Six steps for a successful folk to monday CRM data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

folk logo

folk

Source

Strengths

  • One-click LinkedIn profile capture directly into a contact record with social handles and company data pre-filled.
  • Per-group custom fields allow different taxonomies per team or workflow without requiring schema-level admin access.
  • Clean, opinionated UI with a low learning curve — most teams reach proficiency within a single onboarding session.
  • Built-in email campaigns and sequences on Standard, with Gmail sender and email tracking available on both Standard and Premium.
  • Workspace-wide AI Magic Field credits included on all paid tiers, with a simpler credit model than Attio.

Weaknesses

  • No permanent free tier — only a 14-day trial with no free-forever option, which limits evaluation before commitment.
  • AI credit limits (2,000–5,000 Magic Field calls/month workspace-wide) constrain active outbound teams, especially on Standard.
  • No documented public API for bulk export — large-scale data extraction relies on CSV round-tripping, which drops attachments and relationship metadata.
  • Automation between contacts and companies is manual; account-based workflows require careful field setup to avoid duplication.
  • Reporting and analytics remain behind pipeline-first CRMs like Pipedrive on deal forecasting and cohort breakdowns.
monday CRM logo

monday CRM

Destination

Strengths

  • Board-based UI makes pipeline stages and deal progress visually obvious without training.
  • No-code automation builder requires no developer resources to create lead routing and stage-triggered actions.
  • Flexible column system supports custom CRM fields without schema changes or admin involvement.
  • Integrates natively with Slack, Gmail, Outlook, and Zapier with minimal configuration overhead.
  • Layered product means teams already on monday Work Management can add CRM without migrating existing data.

Weaknesses

  • No native Contacts object separate from Items — contacts are managed inside a CRM module's People feature.
  • Pipeline and deal relationships use a flat item model rather than a relational object model, making complex CRM associations awkward.
  • Automations are plan-gated (250 actions/month on Standard, 25,000 on Pro) and the legacy Recipe system is being deprecated.
  • Customization and advanced views (Chart, Formula, Dependency) are locked behind Pro and Enterprise tiers.
  • Per-seat pricing with non-refundable annual billing creates cost lock-in risk during migration.

Complexity grading

How hard is this migration?

Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across folk and monday CRM.

  • Object compatibility

    B

    2 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    folk: Not publicly documented.

  • Data volume sensitivity

    B

    folk doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your folk to monday CRM migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about folk to monday CRM data migrations

Answers to the questions buyers ask most during folk to monday CRM migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Most migrations land between two and three weeks for workspaces under 5,000 Contacts and 10 Groups with straightforward per-Group field schemas. Migrations with 5,000+ Contacts, 10+ Groups with divergent field schemas, large attachment sets, or active deal pipeline structures requiring Deal item configuration move to four to eight weeks because of the per-Group CSV extraction process, field map enumeration, and Monday.com column type configuration.

Adjacent paths

Related migrations to explore

Ready when you are

Move from folk.
Land in monday CRM, intact.

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