CRM

Migrate your folk data

Lightweight CRM built around Groups and Contacts for relationship-driven sales teams. No permanent free tier, but one of the fastest onboarding curves in the CRM category.

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In its favor

Why people choose folk

The signal that keeps folk on the shortlist. Sourced from G2, Capterra, and customer scoping calls.

Minimal setup friction — contacts import in two steps via CSV and the interface behaves like a clean workspace rather than a rigid sales system, which appeals to teams switching from spreadsheets or Notion.

LinkedIn-first workflow with a one-click contact save from LinkedIn profiles — users praise the depth of the LinkedIn integration compared to HubSpot's lighter social connection.

Credit-based AI with a single, workspace-wide pool for Magic Fields and enrichment is simpler to reason about than seat-level credit splits found in Attio.

Per-group custom fields let non-technical users build group-specific taxonomies (e.g., separate field sets for Leads vs. Clients) without touching a schema editor.

Teams of 20–50 migrating from Notion, ActiveCampaign, or Brevo cite the pipeline view and email tracking as the features that finally justify a CRM over a spreadsheet.

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.

Reasons to switch

Why people leave folk

The recurring reasons buyers give for replacing folk. Presented as facts, not knocks.

Platform scorecard

Strengths, weaknesses, and where folk fits

Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.

SWOT — strengths, weaknesses, and use-case fit

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.

Where it works

Small to mid-market teams of 10-50 people who are replacing spreadsheets or Notion databases with a structured CRM without needing dedicated admin resources.Relationship-driven B2B sales teams that rely on LinkedIn for prospecting, where one-click LinkedIn profile capture and social handle enrichment provide direct workflow value.Organizations that value fast onboarding over customization — teams that want their CRM operational within a single session without a schema editor or implementation consultant.Agencies or consultancies managing multiple client groups where per-group custom fields let each team maintain its own taxonomy without affecting others.Teams in non-regulated industries where the absence of advanced deal forecasting is acceptable in exchange for a clean, opinionated interface.

Where it struggles

Large teams (100+ seats) that require enterprise-grade reporting, deal forecasting, cohort analysis, or custom pipeline analytics available in HubSpot or Salesforce.Organizations with high-volume outbound automation where workspace-wide AI credit limits (2,000-5,000 Magic Field calls/month) are exhausted quickly by active automators.Account-based sales motions requiring bidirectional contact-company linking — folk requires manual field mapping to avoid duplicate records, which breaks at scale.Teams needing programmatic bulk export for data migrations or BI integration, as folk has no documented public API for large-scale CSV extraction of attachments and relationship graphs.Companies in regulated industries (finance, healthcare, legal) that require audit trails, granular role permissions, or compliance-focused CRM features that folk does not emphasize.

Pricing tiers

folk pricing overview

Folk uses per-seat pricing with an annual discount of roughly 20%. No permanent free tier exists — only a 14-day trial without a credit card. AI features (Magic Fields and enrichment) are credit-pooled at the workspace level, not per-seat, which means costs scale with the team but the AI pool does not grow proportionally with headcount.

Standard

Tier 1 of 3

$20–$30/user/month (billed annually $24–$25)

What's included

Up to 5,000 contacts per workspacePipeline management with custom stagesEmail campaigns and sequences2,000 Magic Field credits/month (workspace-wide)500 enrichment credits/month (workspace-wide)14-day free trial

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Pricing is informational. FlitStack AI does not bill on folk's schedule — see our quote-based pricing →

What gets migrated

folk object support

Object-by-object support for folk migrations. Per-pair details surface during scoping.

Contacts

Fully supported

Contacts are the primary record in folk, with a person/company subtype. We map the subtype field and all standard properties (name, email, phone, social handles) directly. Custom fields per contact are preserved via per-group field mapping.

Groups

Fully supported

Groups are folk's organizational container concept — analogous to Lists or Segments in other CRMs. We map each Group and preserve group membership for every contact during migration.

Custom Fields

Mapping required

Custom fields in folk are defined per-group, not globally. We enumerate all group-specific field schemas during discovery and build a field map before importing, since the schema varies between source groups.

Notes

Fully supported

Notes are attached to contacts and contain plain text plus timestamps and author attribution. We migrate notes as linked child records of the contact.

Reminders

Mapping required

Reminders carry a due date, assignee, and text. We migrate reminder text and due date; assignee mapping requires resolving user identity between source and destination systems.

Tags

Fully supported

Contacts can be tagged freely in folk. We migrate the full tag set per contact as a string array, and map to the destination system's tag or label model.

Pipeline Views

Mapping required

Pipeline views in folk are per-group. We map pipeline stages to the destination CRM's pipeline structure and flag any custom stage logic that needs manual recreation.

Email Campaigns

Not in this platform

Email campaign history — sent emails, open/click events — is not exported via CSV or a public bulk API. We migrate the contact list for the campaign but not campaign performance data.

Attachments

Mapping required

Attachments linked to contacts can be exported as URLs or files via CSV. We attempt to download and re-upload where the destination supports it; file size limits vary by plan.

Activities

Mapping required

Activity history (emails sent, meetings logged) is partially captured in folk's timeline. We extract what is present in the CSV export and map it to the destination's activity object, noting gaps.

Companies

Fully supported

Companies are a contact subtype in folk. We treat them as separate records with a linked-person parent where applicable, and migrate all company properties and custom fields.

AI Magic Fields

Not in this platform

Magic Fields are AI-generated field values computed at query time, not stored as data. They do not exist as migratable records — they are derived from source data and the AI model, so we do not attempt to migrate them.

Enrichment Credits

Not in this platform

Enrichment data is external and live-fetched by folk's AI. The enriched values are not persistently stored in a way that is accessible for export, so we do not migrate them.

Gotchas

What to watch for in folk migrations

Issues we've hit on past folk migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.

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

How a folk migration works

Four steps, folk-specific

Connect

Not publicly documented into folk. Scopes limited to read-only on the data we move.

Map

We translate folk-specific structures (custom fields, objects, value lists) to the destination's model.

Sample

Test with a 50–200 record subset to validate folk quirks before production.

Migrate

Full migration with folk rate-limit handling. Rollback available throughout.

FAQ

folk migration FAQ

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

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Walk through your folk migration with a real engineer — 30 minutes, free, written quote within 24 hours.

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Most folk migrations under 1M records finish in 48–72 hours end-to-end. Larger orgs with custom objects or buyer-side security review typically take 5–7 days.

Ready when you are

Migrate folk.
Without the rebuild.

Free scoping call with a migration engineer. Tell us about your folk setup and destination — written quote back within a business day.

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