How long does a folk to GoHighLevel migration take?

Small migrations under 5,000 contacts and 10 Groups typically complete in two to four weeks. Migrations with 5,000-20,000 contacts, multiple Groups with divergent custom field schemas, or contacts that span several Groups with conflicting field values extend to six to ten weeks because of the per-group field-map generation, CSV round-trip validation, and GoHighLevel API rate-limit-aware batch import. Larger migrations are scoped individually.

What data cannot be migrated from folk to GoHighLevel?

Four categories of data do not migrate. First, Magic Field-generated values are computed by folk's AI at query time and are not stored as data — they cannot be exported or migrated. Second, enrichment credit data (enriched emails, company data, social profiles fetched by folk's AI) is live-fetched and not persistently stored. Third, email campaign performance metrics (open rates, click rates, sent counts, unsubscribes) live in folk's campaign engine and are not exposed in CSV exports. Fourth, full file attachments not present as URLs in the CSV cannot be extracted. We flag all four categories in the migration scope document before work begins.

Do folk sequences and automations migrate to GoHighLevel?

No. folk sequences and campaign-level automations use a different automation model from GoHighLevel's visual workflow builder and are not migrated as code. We deliver a written inventory of every active sequence and automation in folk — its trigger conditions, steps, delays, and CRM actions — plus a recommended GoHighLevel workflow equivalent for each. The customer's admin rebuilds the workflows in GoHighLevel's workflow builder post-migration. Workflow rebuild is outside standard migration scope; it is offered as a separate engagement for customers who need hands-on recreation assistance.

What does a folk to GoHighLevel migration typically cost?

Migrations under 5,000 contacts and 10 Groups land between $3,500 and $5,500. Migrations with 5,000-20,000 contacts, complex per-group field schemas, or multiple Groups with conflicting field values move to $6,500-$9,500. These ranges assume standard scope (Contacts, Companies, Notes, Tags, Reminders, Pipeline stages) and exclude workflow rebuild, which is a separate engagement. GoHighLevel subscription cost ($97-$497/mo depending on plan) sits outside the migration fee.

How do you handle folk's per-group custom fields in GoHighLevel?

folk custom fields are defined per-Group, not globally. During discovery we enumerate every Group's field schema and build a per-group field map. In GoHighLevel we create every custom field that appears in any source Group as a global custom field on the relevant object (Contact or Company). During import we apply only the fields relevant to each contact based on the source Group membership, and we flag contacts that span multiple Groups with conflicting field values for a customer-approved resolution strategy (preserve both, prefer one Group, or null out conflicts) before import completes.

Can we import into a specific GoHighLevel Pipeline or sub-account?

Yes. During scoping we identify the target sub-account and Pipeline structure in GoHighLevel. The Pipeline is configured before migration begins, and contact records are assigned to the correct Pipeline stage based on their folk pipeline view membership. If the customer operates an agency model with multiple client sub-accounts, we import each client's data into the designated sub-account separately, applying sub-account-specific field schemas and Pipeline configurations as needed.

What happens to folk Group membership after migration?

folk Groups are represented in GoHighLevel as Tags on the Contact record. Every Group a contact belonged to in folk becomes a Tag in GoHighLevel, preserving the segmentation logic. Pipeline-view stage associations from folk become GoHighLevel Opportunity stages under a Pipeline that we configure during setup. This approach keeps both the list-based segmentation (via Tags) and the deal-tracking structure (via Pipelines) intact in GoHighLevel without requiring manual recreation.

Does FlitStack AI migrate contacts with no email address?

Yes, but with a caveat. folk contacts without an email address can be exported in the CSV if they carry a phone number or other identifying information. We import these into GoHighLevel as Contacts without an email address. GoHighLevel's API accepts contacts without email. However, contacts without any unique identifier (no email, no phone, no name) cannot be reliably imported and are flagged in the pre-import exception report for the customer's review before the import runs.

folk to HighLevel Migration — Field-Level Mapping & Rollback

Overview

What this migration involves

Moving from folk to GoHighLevel is a platform-type migration: folk organizes its CRM around Groups (containers) and Contacts (the primary record), while GoHighLevel uses a more conventional CRM model with Contacts, Companies, and Opportunities tied to Pipelines. folk has no documented public bulk API, so we extract via multi-step CSV exports and re-import through GoHighLevel's API v2, which has a burst limit of 100 requests per 10 seconds and a daily ceiling of 200,000. We enumerate every Group's custom field schema during discovery because custom fields in folk are defined per-group, not globally — a contact in the Leads Group may carry fields that do not exist in the Clients Group. We handle this fragmentation by building a per-group field map, applying it during import, and resolving any contact records that span multiple Groups with conflicting field values. Email campaign performance data (open rates, click rates) cannot be exported from folk and is not migrated. GoHighLevel's workflow automation model is substantially different from folk's; we deliver a written inventory of any active sequences or automation logic requiring rebuild in GoHighLevel's workflow builder rather than migrating them as code.

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

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

HighLevel

What's pulling them in

Agencies choose HighLevel to consolidate CRM, email, SMS, scheduling, and funnels into one subscription, eliminating monthly bills for five to ten separate SaaS tools they previously stitched together.
The flat-rate pricing model bills per sub-account rather than per contact, so growing a contact database from 1,000 to 100,000 records does not trigger a billing surprise—a common pain point avoided by migrating customers.
White-label and sub-account capabilities let agencies resell HighLevel access to their own clients, turning a software cost center into a recurring revenue stream that justifies the subscription.
The platform ships a 14-day free trial with no credit card required, giving teams a low-friction entry point to validate fit before committing to the $97/month Starter tier.
Marketing agencies managing multiple client accounts use sub-accounts to maintain data isolation per client while operating under a single agency billing relationship with HighLevel.

Object mapping

How folk objects map to HighLevel

Each row shows how a folk object lands in HighLevel, 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

HighLevel

Contact

1:1

Fully supported

folk person-type Contacts map 1:1 to GoHighLevel Contacts. Standard properties (name, email, phone, address, social handles) migrate directly. The folk subtype field is preserved as a custom field on the GoHighLevel Contact. Custom fields per contact are resolved using the per-group field map generated during discovery. We import contacts in batches respecting GoHighLevel's 100 req/10s burst limit with exponential backoff on 429 responses.

folk

Contact (company subtype)

maps to

HighLevel

Company

1:1

Fully supported

folk company-type Contacts map to GoHighLevel Companies. The company name, domain, address, and industry fields migrate directly. Any custom fields defined for the Group containing the company-type contact are applied via the per-group field map. GoHighLevel's Company object uses a dedicated Contact sub-grid rather than requiring a manual relationship link, which resolves the folk limitation of no auto-link between person and company contact subtypes.

folk

Group

maps to

HighLevel

Tag + Pipeline stage

1:many

Fully supported

folk Groups are organizational containers that do not map 1:1 to a single GoHighLevel object. We split each Group into two destinations: Group membership is preserved as GoHighLevel Tags on the Contact record, allowing segmentation to survive migration; pipeline-stage associations from folk's pipeline views migrate to GoHighLevel Opportunity stages under a Pipeline that we configure during setup. Contacts that belong to multiple Groups receive all applicable Tags.

folk

Pipeline View

maps to

HighLevel

Pipeline + Opportunity Stage

lossy

Fully supported

folk's pipeline views (per-Group) map to GoHighLevel Pipelines with stage definitions. We enumerate all pipeline views during discovery, map each folk stage to a GoHighLevel stage under a Pipeline Record Type, and preserve stage ordering and probability values. Any custom stage logic (e.g., stage-specific automation triggers in folk) is flagged for manual rebuild in GoHighLevel's workflow builder.

folk

Custom Fields

maps to

HighLevel

Custom Fields

1:1

Mapping required

folk custom fields are defined per-group, not globally. During discovery we enumerate every Group's field schema, generate a per-group field map, and apply the correct field set to each contact at import time. Contacts that belong to multiple Groups with conflicting field values are flagged for conflict-resolution before import. GoHighLevel custom fields are defined per object (Contact, Company, Opportunity) and are created during the schema-design phase before data migration begins.

folk

Note

maps to

HighLevel

Note

1:1

Fully supported

folk Notes attached to contacts migrate to GoHighLevel Notes linked to the Contact or Company record. Note body, timestamp, and author attribution are preserved. Notes are imported after their parent Contact record to satisfy the lookup relationship.

folk

Reminder

maps to

HighLevel

Task

1:1

Fully supported

folk Reminders (due date, assignee, text) map to GoHighLevel Tasks. Due date and description migrate directly. Assignee mapping requires resolving the folk user email against the GoHighLevel User table — users without a matching GoHighLevel account are held in a reconciliation queue for the customer's admin to provision before task import resumes.

folk

Tag

maps to

HighLevel

Tag

1:1

Fully supported

folk Tags migrate to GoHighLevel Tags as a string array per Contact. Tags are applied after Contact import so that the Tag assignment references a valid Contact ID. Duplicate tag values are deduplicated during import to prevent tag proliferation in GoHighLevel.

folk

Activity (partial via CSV)

maps to

HighLevel

Activity Log

1:1

Fully supported

folk's activity timeline is partially captured in CSV exports — emails sent, meetings logged, and call records that appear in the contact timeline can be extracted. We map these to GoHighLevel Tasks (calls, generic activities) and Calendar Events (meetings). Activity data that lives exclusively in folk's UI and is not present in the CSV export cannot be migrated. We document the activity gaps in the migration report so the customer knows what is not present in GoHighLevel post-migration.

folk

Attachment URL

maps to

HighLevel

Attachment

1:1

Fully supported

folk attachments exported as URLs in CSV are attempted for re-upload to GoHighLevel if the destination plan supports file storage. File size limits vary by GoHighLevel plan. Attachments that are stored as URLs pointing to external services (LinkedIn, Google Drive) are preserved as link fields on the Contact rather than migrated as uploaded files. Full file attachments not present in the CSV export cannot be accessed for migration.

folk	HighLevel	Compatibility
Contact (person subtype)	Contact1:1	Fully supported
Contact (company subtype)	Company1:1	Fully supported
Group	Tag + Pipeline stage1:many	Fully supported
Pipeline View	Pipeline + Opportunity Stagelossy	Fully supported
Custom Fields	Custom Fields1:1	Mapping required
Note	Note1:1	Fully supported
Reminder	Task1:1	Fully supported
Tag	Tag1:1	Fully supported
Activity (partial via CSV)	Activity Log1:1	Fully supported
Attachment URL	Attachment1:1	Fully supported

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 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

HighLevel gotchas

High

Sub-account architecture creates isolated data silos per client

High

Usage-based telecom and AI costs are not in the subscription price

Medium

Workflows have no native equivalent in most destination CRMs

Medium

API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account

Low

White-label configuration and branding assets do not export via API

folk gotchas		HighLevel gotchas
Severity	Issue	Severity	Issue
High	No public bulk API for automated migration	High	Sub-account architecture creates isolated data silos per client
Medium	Per-group custom fields create schema fragmentation	High	Usage-based telecom and AI costs are not in the subscription price
Medium	Workspace-wide AI credit limits affect all seats	Medium	Workflows have no native equivalent in most destination CRMs
Low	Contact–company linking is not automatic	Medium	API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account
Low	Email campaign history not exported	Low	White-label configuration and branding assets do not export via API

Pair-specific challenges

folk has no public bulk API — CSV export is the only extraction path

folk does not expose a public REST or GraphQL bulk API for programmatic record extraction. All data migration relies on CSV exports from each Group individually, which excludes attachment files (unless exported as URLs), relationship graph data, email campaign performance metrics (open rates, click rates, sent counts), Magic Field-generated values (computed at query time, not stored), and enrichment credit data (live-fetched and not persistently exported). We request multi-step CSV exports covering all Groups during discovery and warn customers that email campaign history and AI-generated field values cannot be brought to GoHighLevel. Where GoHighLevel supports CSV import, we re-import via the CSV path with field-level validation against the per-group field map.
Per-group custom fields create schema fragmentation that must be resolved before import

Custom fields in folk are defined at the Group level, not globally. A Contact in the Leads Group may carry a field called Lead Source that does not exist in the Clients Group. We enumerate every Group's field schema during discovery and build a per-group field map before any data is imported into GoHighLevel. Contacts that belong to multiple Groups with conflicting field values (e.g., the same field carrying different data types across Groups) require a conflict-resolution strategy — we flag these and apply the customer's chosen resolution (preserve both, prefer one Group, null out conflicts) during import rather than letting type mismatches block the migration.
GoHighLevel workflows are not migrated from folk — automation rebuild is a separate task

folk's sequences and email campaign logic use a different automation model from GoHighLevel's visual workflow builder. Sequences (sales engagement cadences in folk) and campaign-level automation do not migrate as code. We deliver a written inventory of every active sequence, campaign, and automation in folk with its trigger, conditions, and action steps, plus a recommended GoHighLevel workflow equivalent for the customer's admin to rebuild. The migration does not include post-migration workflow rebuild as standard scope; this is a separate engagement for customers who need hands-on automation recreation.
Contact-company linking assumptions from folk do not carry forward

folk stores contacts of subtype company as separate records with optional manual relationship links to person-type contacts. GoHighLevel links Contacts to Companies via a dedicated Company field on the Contact record. We preserve any manually established links from folk during migration, but we cannot infer missing links that were never created in the source. For teams with a strong account-based motion, we recommend a post-migration account-link audit to verify that all relevant person contacts are attached to the correct Company record in GoHighLevel.

Migration approach

Six steps for a successful folk to HighLevel data migration

Discovery and Group schema enumeration

We export the full contact list from each folk Group via CSV, capturing all standard fields and custom fields per Group. We enumerate every Group's field schema during discovery and generate a per-group field map before any data moves. We also extract Tags, Notes, Reminders, and any available activity history from the CSV exports. We flag the absence of Magic Field values, enrichment data, email campaign performance metrics, and attachment files that cannot be exported. The discovery output is a written migration scope document listing record counts per Group, the full per-group field map, and the list of data elements that cannot be migrated.
GoHighLevel schema design and Pipeline configuration

We configure the GoHighLevel destination workspace before importing any data. This includes creating the Pipeline structure (with stages mapped from folk pipeline views), defining custom fields on Contact and Company objects using the per-group field map, setting up Tags to represent folk Group membership, and creating any required Users for assignee mapping. Custom fields are defined globally in GoHighLevel, so the per-group field map is flattened — we create every custom field that appears in any source Group and then apply only the relevant fields per contact record during import.
CSV validation and transformation

We validate each Group's CSV export for field completeness, data type consistency, and email/phone format. Any records with missing required fields (e.g., contact with no email and no phone) are flagged in a pre-import exception report. We apply the per-group field map to transform source field names to GoHighLevel field API names, resolve any conflicting field values across Groups, and split Group memberships into Tag assignments. The validated and transformed CSV feeds the GoHighLevel API import pipeline.
API import with rate-limit handling

We import Contacts via GoHighLevel's REST API v2 using batched POST requests, respecting the 100 req/10s burst limit and 200,000 req/day daily limit. On 429 responses we apply exponential backoff with jitter before retrying. Contacts are imported before Companies to satisfy the lookup relationship for any contact records that reference a company-type contact. Notes and Tasks are imported after their parent Contact record using the resolved Contact ID. Tags are applied as a post-import batch update per Contact.
Reconciliation and validation

We run a post-import reconciliation comparing record counts (Contacts in, Companies in, Tags applied, Notes imported, Tasks imported) against the source CSV totals. We spot-check 25-50 randomly selected records in GoHighLevel against the source data to verify field-level accuracy. Any records that failed import due to validation errors or rate-limit gaps are re-queued and retried. We deliver a migration report listing record counts, import success rates, and the data elements that could not be migrated (Magic Fields, enrichment data, email campaign metrics, full file attachments).
Cutover and automation inventory handoff

We freeze writes to the folk account during cutover and run a final delta migration of any records modified during the migration window. We deliver the automation and sequence inventory document to the customer's admin team, covering every active sequence and campaign in folk with its trigger conditions, steps, and a recommended GoHighLevel workflow equivalent. We support a five-business-day hypercare window for reconciliation issues. Workflow rebuild in GoHighLevel's workflow builder is outside standard migration scope and is offered as a separate engagement.

Platform deep dives

Context on both ends of the pair

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.

HighLevel

Destination

Strengths

Consolidates CRM, marketing automation, email, SMS, scheduling, and funnels into one platform at a predictable flat monthly rate.
Supports unlimited contacts and unlimited users on all paid tiers, removing per-record billing anxiety as databases grow.
Offers white-label and sub-account capabilities that let agencies resell access and manage multiple client environments under one billing relationship.
Includes built-in review management, reputation monitoring, and AI agents as native features rather than third-party add-ons.
Exports Contacts and Companies via a scalable async bulk CSV system that handles multi-million-row datasets without blocking the UI.

Weaknesses

The breadth of features creates a steep learning curve; advanced automations and Workflow configuration require significant time investment that smaller teams may not recover.
The platform charges usage-based fees for telecommunications and AI features that are not included in the base subscription, leading to bill surprises.
Recurring user reports on Reddit and G2 describe bugs, errors, and slow support response times that disrupt live marketing and sales operations.
Sub-account architecture, while powerful for agencies, adds migration complexity when identifying which client data lives in which isolated environment.
The platform is designed for agencies and SMBs; larger enterprises requiring deep reporting, custom objects at scale, or complex role-based access may outgrow its capabilities.

	folk Source	HighLevel Destination
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.	Consolidates CRM, marketing automation, email, SMS, scheduling, and funnels into one platform at a predictable flat monthly rate. Supports unlimited contacts and unlimited users on all paid tiers, removing per-record billing anxiety as databases grow. Offers white-label and sub-account capabilities that let agencies resell access and manage multiple client environments under one billing relationship. Includes built-in review management, reputation monitoring, and AI agents as native features rather than third-party add-ons. Exports Contacts and Companies via a scalable async bulk CSV system that handles multi-million-row datasets without blocking the UI.
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.	The breadth of features creates a steep learning curve; advanced automations and Workflow configuration require significant time investment that smaller teams may not recover. The platform charges usage-based fees for telecommunications and AI features that are not included in the base subscription, leading to bill surprises. Recurring user reports on Reddit and G2 describe bugs, errors, and slow support response times that disrupt live marketing and sales operations. Sub-account architecture, while powerful for agencies, adds migration complexity when identifying which client data lives in which isolated environment. The platform is designed for agencies and SMBs; larger enterprises requiring deep reporting, custom objects at scale, or complex role-based access may outgrow its capabilities.

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Migrate from folk to HighLevel

What this migration involves

Field-level fidelity

Schema-aware mapping

Relationships preserved

Full activity history

Attachments & notes

Two sides of the same decision

folk

HighLevel

How folk objects map to HighLevel

What specifically takes care here

Six steps for a successful folk to HighLevel data migration

Context on both ends of the pair

How hard is this migration?

Estimate your folk to HighLevel migration cost

What are you migrating?

Frequently asked questions about folk to HighLevel data migrations

Can't find your answer?

Related migrations to explore

Move from folk.
Land in HighLevel, intact.

Migrate from folk to HighLevel

What this migration involves

Field-level fidelity

Schema-aware mapping

Relationships preserved

Full activity history

Attachments & notes

Two sides of the same decision

folk

HighLevel

How folk objects map to HighLevel

What specifically takes care here

Six steps for a successful folk to HighLevel data migration

Context on both ends of the pair

How hard is this migration?

Estimate your folk to HighLevel migration cost

Frequently asked questions about folk to HighLevel data migrations

Can't find your answer?

How long does a folk to GoHighLevel migration take?

What data cannot be migrated from folk to GoHighLevel?

Do folk sequences and automations migrate to GoHighLevel?

What does a folk to GoHighLevel migration typically cost?

How do you handle folk's per-group custom fields in GoHighLevel?

Can we import into a specific GoHighLevel Pipeline or sub-account?

What happens to folk Group membership after migration?

Does FlitStack AI migrate contacts with no email address?

Related migrations to explore

Move from folk. Land in HighLevel, intact.

Move from folk.
Land in HighLevel, intact.