CRM migration
Field-level mapping, validation, and rollback between folk and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
folk
Source
Freshsales
Destination
Compatibility
6 of 9
objects map 1:1 between folk and Freshsales.
Complexity
BStandard
Timeline
3-5 weeks
Overview
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.
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 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)
Freshsales
Contact
1:1Folk 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)
Freshsales
Account
1:1Folk 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
Freshsales
Contact + Tag
lossyFolk 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
Freshsales
Custom Fields
lossyFolk 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
Freshsales
Pipeline + Stage
lossyFolk 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
Freshsales
Note
1:1Folk 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
Freshsales
Task
1:1Folk 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
Freshsales
Tag
1:1Folk 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)
Freshsales
Task + Event
1:1Activity 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.
| folk | Freshsales | Compatibility | |
|---|---|---|---|
| Contact (person subtype) | Contact1:1 | Fully supported | |
| Contact (company subtype) | Account1:1 | Fully supported | |
| Group | Contact + Taglossy | Fully supported | |
| Custom Fields | Custom Fieldslossy | Mapping required | |
| Pipeline View | Pipeline + Stagelossy | Fully supported | |
| Note | Note1:1 | Fully supported | |
| Reminder | Task1:1 | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Activity (emails, meetings, calls) | Task + Event1:1 | Fully supported |
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
Freshsales gotchas
Freddy AI is Pro-tier only despite heavy marketing
Post-migration emails and sequences are disabled
Bot session credits are a one-time 500-session allocation
Phone credits charged per minute with no cap
File storage limits scale with plan tier
Pair-specific challenges
Migration approach
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.
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.
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.
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.
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
folk
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 Freshsales.
Object compatibility
3 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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