CRM migration

Migrate from folk to Freshsales

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

folk logo

folk

Source

Freshsales

Destination

Freshsales logo

Compatibility

67%

6 of 9

objects map 1:1 between folk and Freshsales.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from folk to Freshsales is a structural migration that requires careful schema translation before records transfer. Folk has no public bulk API, so we rely on CSV exports from each Group. This excludes Magic Field values, enrichment credits, and email campaign performance metrics. We enumerate every Group's field schema during discovery since folk defines custom fields per-group rather than globally, then build a field map for each Group before creating Freshsales custom fields. Contacts with person and company subtypes map to Freshsales Contacts and Accounts respectively, with company-type folk contacts becoming Freshsales Accounts and person-type contacts receiving an AccountId lookup once the parent Account exists. Pipeline views migrate as Freshsales pipeline stages. Workflows, automations, and sequences do not migrate as code; we deliver a written inventory for the customer's admin to rebuild in Freshsales Flow.

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

Freshsales logo

Freshsales

What's pulling them in

  • Lowest barrier to entry among major CRMs — the free tier supports up to 3 users and includes core CRM functionality before committing to per-seat pricing.
  • Built-in chat, email, and phone reduce reliance on third-party integrations for basic sales communication and contact management.
  • Freddy AI contact scoring and deal insights are included on Pro plans at a lower price than comparable HubSpot tiers.
  • Kanban pipeline views across Contacts, Accounts, and Deals provide visual deal management without requiring custom configuration.
  • Integration with the broader Freshworks ecosystem (Freshdesk, Freshchat, Freshservice) reduces tool sprawl for teams already using Freshworks.

Object mapping

How folk objects map to Freshsales

Each row shows how a folk object lands in Freshsales, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

folk

Contact (person subtype)

maps to

Freshsales

Contact

1:1
Fully supported

Folk person-type Contacts migrate directly to Freshsales Contact. The folk subtype field is preserved in a custom field folk_subtype__c. All standard properties (name, email, phone, social handles) map to Freshsales standard fields. Custom fields per contact migrate via the per-Group field map. Each contact receives an AccountId lookup once the parent Account (from folk company-type contacts) is created.

folk

Contact (company subtype)

maps to

Freshsales

Account

1:1
Fully supported

Folk company-type Contacts map to Freshsales Account. The folk subtype field is preserved in folk_subtype__c on the Account. All company properties and custom fields migrate per the applicable Group field map. Person-type contacts that have a manual relationship link to this company-type contact receive an AccountId pointing to the newly created Account.

folk

Group

maps to

Freshsales

Contact + Tag

lossy
Fully supported

Folk Groups are migration targets as both Contact records (the group membership data) and Freshsales native Tags applied to those contacts. We extract every Group name, enumerate all Contacts in each Group during discovery, and apply the Group name as a Freshsales Tag on each Contact record during import. Contacts that appear in multiple Groups receive multiple Tags.

folk

Custom Fields

maps to

Freshsales

Custom Fields

lossy
Mapping required

Folk custom fields are defined per-Group, not globally. We enumerate every Group's field schema during discovery, build a distinct field map per Group, then pre-create Freshsales custom fields before any record import. Fields with conflicting names or types across Groups require conflict-resolution logic and customer sign-off before migration begins.

folk

Pipeline View

maps to

Freshsales

Pipeline + Stage

lossy
Fully supported

Folk pipeline views per Group map to Freshsales Pipeline stages. Each pipeline stage from folk becomes a Freshsales Deal Stage value within the configured Pipeline. We preserve stage order and any custom stage labels. Closed-won and closed-lost reasons from folk become Freshsales custom deal fields.

folk

Note

maps to

Freshsales

Note

1:1
Fully supported

Folk Notes attached to contacts migrate as Freshsales Notes linked to the corresponding Contact. Note body, author attribution, and timestamp migrate directly. Notes are imported after the parent Contact exists to satisfy the relationship reference.

folk

Reminder

maps to

Freshsales

Task

1:1
Fully supported

Folk Reminders migrate to Freshsales Task with the reminder text as Task Subject and the due date as ActivityDate. Assignee mapping requires resolving the folk user identity to a Freshsales User by email. We flag any Reminders assigned to users without a matching Freshsales User for the customer's admin to resolve.

folk

Tag

maps to

Freshsales

Tag

1:1
Fully supported

Folk Tags migrate as Freshsales native Tags applied to Contact records. Tags stored as multi-value fields on folk contacts migrate as individual Tag records linked to the Contact. Group names also become Tags as described in the Group mapping entry.

folk

Activity (emails, meetings, calls)

maps to

Freshsales

Task + Event

1:1
Fully supported

Activity data present in folk's CSV export (sent emails, logged meetings, call records) migrates to Freshsales Task records for calls and emails, and Event records for meetings. We map what is available in the CSV; activity timeline gaps are expected due to folk's limited activity export scope. Freshsales built-in phone call logs are not applicable to migration scope since they represent future Freshsales activity, not historical folk data.

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

Freshsales logo

Freshsales gotchas

Medium

Freddy AI is Pro-tier only despite heavy marketing

High

Post-migration emails and sequences are disabled

Medium

Bot session credits are a one-time 500-session allocation

Medium

Phone credits charged per minute with no cap

Low

File storage limits scale with plan tier

Pair-specific challenges

  • Folk has no public bulk API for automated migration

    Folk does not expose a documented REST or GraphQL bulk API for programmatic record extraction. We extract data via CSV exports from each Group, which drops attachment files, relationship graph metadata, and the full activity timeline. We request multi-pass CSV exports covering all Groups and warn customers that Magic Field values, enrichment data, and email campaign performance metrics cannot be exported. Where Freshsales supports it, we re-import via CSV with field-level validation.

  • Per-group custom fields create schema fragmentation

    Custom fields in folk are defined per-Group rather than globally. A Contact in the Leads Group may have a field that does not exist in the Clients Group. During migration, we enumerate every Group's field schema during discovery and generate a distinct field map per Group. Contacts that belong to multiple Groups may have conflicting field values that require conflict-resolution logic and customer sign-off before migration.

  • Contact-company linking requires manual relationship resolution

    Folk stores company-type contacts as separate records with optional manual links to person-type contacts. Freshsales models this as Account-Contact with an explicit AccountId lookup. We preserve any manually established link during migration by matching the company-type contact email to the created Account. We cannot infer missing links that were never established in folk.

  • Email campaign history and performance data are not exported

    Folk's email campaign data — sent count, open rate, click rate — is stored in folk's campaign engine and not exposed in the CSV export. We migrate the contact list associated with each campaign but not campaign performance metrics. Customers relying on campaign history for reporting should export that data separately before migration begins.

Migration approach

Six steps for a successful folk to Freshsales data migration

  1. Discovery and CSV extraction

    We audit every Group in the folk workspace, enumerate all per-Group field schemas, and extract a CSV export from each Group. We identify contact subtypes (person versus company), Group membership, custom field names and types per Group, pipeline view stages, tags, and notes. We flag Magic Field usage, enrichment credit consumption, and email campaign data that will not transfer. The discovery output is a written scope document with a per-Group field map and a migration feasibility assessment.

  2. Freshsales schema design

    We design the Freshsales destination schema based on the discovery findings. This includes creating custom fields on Contact and Account that match the folk per-Group field names and types, configuring the Freshsales pipeline and stages to match folk pipeline views, and establishing the Account-Contact relationship model. We create a Freshsales sandbox for test migration before touching production data.

  3. Sandbox migration and reconciliation

    We run a full migration into a Freshsales sandbox using production-like data volume. The customer's admin reviews record counts (Contacts in, Accounts in, Deals in, Notes in), spot-checks 20-30 records field-by-field against the folk source, and signs off the mapping before production migration begins. Any per-Group field map corrections and conflict-resolution decisions happen in this phase.

  4. Production migration in dependency order

    We run production migration in record-dependency order: Freshsales Accounts first (from folk company-type contacts), then Contacts with AccountId lookups resolved, then Deals with stage assignments, then Notes linked to parent contacts, then Tags applied to contacts, then Tasks from Reminders. Each phase emits a row-count reconciliation report before the next phase begins. We use Freshsales REST API with batch chunking and rate-limit handling.

  5. Cutover and handoff

    We freeze writes to folk during cutover, run a final delta pass for any records modified during the migration window, then enable Freshsales as the system of record. We deliver a written inventory of what could not migrate (Magic Field values, enrichment credits, email campaign history, workflows, automations, sequences) with a per-item description and recommended Freshsales rebuild approach. We do not rebuild folk automations as Freshsales Flow; that inventory document is for the customer's admin to action as a separate project.

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.
Freshsales logo

Freshsales

Destination

Strengths

  • Generous free tier for small teams with core CRM functionality without per-seat costs.
  • All-in-one sales CRM with built-in telephony, chat, and email reducing third-party tool dependency.
  • Freddy AI contact scoring and deal predictions available on Pro tier.
  • Multiple pipeline views with Kanban and list options across all plans.

Weaknesses

  • Reports lack depth compared to competitors like HubSpot, with limited customization options.
  • Integration setup is poorly documented with no clear guides for connecting third-party tools.
  • AI features gated behind $39/user/month Pro tier despite marketing emphasis on Freddy AI.
  • Bot sessions limited to 500 one-time allocation with no monthly refresh.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 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 Freshsales.

  • Object compatibility

    B

    3 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 Freshsales 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 Freshsales data migrations

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

Can't find your answer?

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Book a free 30 minute consultation

Most migrations land between three and five weeks for accounts under 10,000 Contacts with fewer than five Groups and minimal per-group field variance. Migrations with more than five Groups, high field variance between Groups, or 50,000+ total records move to seven to ten weeks because of multi-pass schema enumeration and per-Group field map validation.

Adjacent paths

Related migrations to explore

Ready when you are

Move from folk.
Land in Freshsales, intact.

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Accuracy guarantee Rollback included Quote in 1 business day