CRM migration
Field-level mapping, validation, and rollback between Freshmarketer and Twenty CRM. We move data and schema; workflows are rebuilt natively in Twenty CRM.
Freshmarketer
Source
Twenty CRM
Destination
Compatibility
7 of 10
objects map 1:1 between Freshmarketer and Twenty CRM.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Freshmarketer to Twenty CRM is a structural migration from a marketing automation SaaS platform to an open-source CRM built for data ownership. Freshmarketer bundles email, SMS, WhatsApp, and lead scoring as core features; Twenty CRM is a structured CRM with a customizable data model and no per-seat licensing for self-hosted deployments. We extract Contacts, Companies, Deals, and Activities from Freshmarketer using its REST API at a 1000-request-per-hour rate limit, which requires batch-chunked extraction for contact bases above 5,000 records. Freshmarketer's Journeys (marketing automation workflows) cannot be exported as executable logic via API, so we capture enrolled contact state and Journey configuration as a written handoff document. Marketing Contacts are a billing concept in Freshmarketer that has no direct Twenty CRM equivalent; we flag the marketing-contacted subset so you understand post-migration billing exposure before extraction begins. Custom contact, company, and deal fields migrate through field-level mapping against Twenty's Data Model API.
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 Freshmarketer object lands in Twenty CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Freshmarketer
Contact
Twenty CRM
Person
1:1Freshmarketer Contact records map to Twenty Person records. Email address is the dedupe key. Standard fields (name, email, phone, address, lifecycle stage) map directly. Custom contact fields require field-level mapping against Twenty's Data Model API; field types (dropdown, multi-select, date) are resolved during the transform phase. Owner assignment from Freshmarketer maps to a Twenty team member via email match lookup.
Freshmarketer
Company
Twenty CRM
Company
1:1Freshmarketer Company records map to Twenty Company records. Company name, domain, industry, and address migrate directly. Company-contact associations are preserved at migration time by resolving the org_contact_id link to the corresponding Twenty Person record. If the company domain maps to an existing Twenty Company, records are merged on domain match rather than created fresh.
Freshmarketer
Deal
Twenty CRM
Opportunity
1:1Freshmarketer Deal records map to Twenty Opportunity records. Deal stage, amount, close date, owner, and associated company/person link migrate directly. Pipeline stage names from Freshmarketer are mapped to Twenty Opportunity stage values during configuration. Custom deal fields require mapping against Twenty's Opportunity custom field schema before import.
Freshmarketer
Pipeline
Twenty CRM
Pipeline + Stage
lossyFreshmarketer pipelines map to Twenty Pipeline records with corresponding Stage records. We configure pipeline and stage names in Twenty's Data Model before migration begins. Probability percentages from Freshmarketer pipeline stages migrate to Twenty stage weights.
Freshmarketer
Activities: Email, Calls, Meetings, Tasks
Twenty CRM
Task + TimelineEntry
1:1Freshmarketer activity logs (email conversations, sales activities, calls) migrate as Task records in Twenty. Each activity retains its original timestamp for timeline ordering. We flag attachments linked to activity records for separate file export and linked-record creation in Twenty. The activity type (call, email, meeting, note) is stored in a custom Task type field.
Freshmarketer
Segment
Twenty CRM
Custom Filter or Static List
1:1Freshmarketer Segments use filter criteria for audience selection and have no direct equivalent in Twenty CRM. We map segment criteria to Twenty's filter-and-sort capabilities on the Person and Company objects. If the customer needs static audience lists, we create a custom field on Person (segment_name) and populate it with the segment names the contact belonged to at migration time.
Freshmarketer
Journey
Twenty CRM
No equivalent (documentation only)
lossyFreshmarketer Journeys (marketing automation workflows) cannot be exported as executable logic via API. We capture Journey configuration as a structured JSON document listing each step, trigger condition, delay, and action. We also capture the set of contacts enrolled in each Journey at cutover and deliver a replay plan document so the customer's admin can rebuild equivalent sequences in their chosen marketing automation tool. Journeys do not execute in Twenty CRM.
Freshmarketer
Custom Fields (Contact, Company, Deal)
Twenty CRM
Custom Fields
lossyCustom fields on Freshmarketer contacts, companies, and deals are supported via API but require explicit per-field mapping. We pre-create matching custom fields in Twenty's Data Model (Settings > Data Model > object > Add Field) before data import begins. Field type differences such as Freshmarketer dropdown versus Twenty multi-select, date format differences (ISO 8601 vs MM/DD/YYYY), and multi-value field handling are resolved in the transform layer.
Freshmarketer
User
Twenty CRM
WorkspaceMember
1:1Freshmarketer User accounts (name, email, role, team) map to Twenty WorkspaceMember records. Owner references on Contacts, Companies, and Deals are remapped by email match to the corresponding WorkspaceMember. Users without a matching WorkspaceMember at migration time are placed in a reconciliation queue for the customer's admin to provision before record import resumes.
Freshmarketer
Tag
Twenty CRM
Custom Tag field
1:1Freshmarketer tags applied to contacts, companies, and deals migrate as a comma-separated string stored in a custom tag field on the corresponding Twenty object. No tag hierarchy exists in Freshmarketer, and Twenty does not have a native hierarchical tag model, so a flat migration preserves the full tag set.
| Freshmarketer | Twenty CRM | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline | Pipeline + Stagelossy | Fully supported | |
| Activities: Email, Calls, Meetings, Tasks | Task + TimelineEntry1:1 | Fully supported | |
| Segment | Custom Filter or Static List1:1 | Fully supported | |
| Journey | No equivalent (documentation only)lossy | Fully supported | |
| Custom Fields (Contact, Company, Deal) | Custom Fieldslossy | Fully supported | |
| User | WorkspaceMember1:1 | Fully supported | |
| Tag | Custom Tag field1:1 | 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.
Freshmarketer gotchas
Marketing Contacts billing model affects migration scoping
Email-based contact merging during Freshsales Suite migration
Journeys stop executing post-migration with no auto-resume
API rate limit of 1000 requests per hour caps migration throughput
Outgoing emails disabled after migration require manual re-enablement
Twenty CRM gotchas
Import order is enforced and critical
Export limited to 20,000 records and visible columns only
Soft-deleted records count toward uniqueness and trigger restores
API rate limits cap at 200 req/min on Organization tier
No native email sequences — follow-up cadences require external tools
Pair-specific challenges
Migration approach
Discovery and extraction planning
We audit the Freshmarketer account for record counts (contacts, companies, deals, activities), custom field schemas on each object, active Journey list, and the marketing contact subset (contacts enrolled in any email, SMS, or WhatsApp campaign). We pace the extraction plan against the 1,000-request-per-hour API limit and estimate extraction duration. We pair this with a Twenty CRM workspace audit: cloud-hosted or self-hosted deployment, existing data model customizations, and user provisioning status. The discovery output is a written migration scope with record counts, API extraction schedule, and custom field inventory.
Twenty CRM workspace preparation
We configure the destination Twenty workspace before any data arrives. This includes creating custom fields in Settings > Data Model to match Freshmarketer's custom field schemas, configuring pipeline and stage values to match Freshmarketer's deal pipeline structure, and provisioning WorkspaceMember accounts for each Freshmarketer user referenced as an owner. For self-hosted Twenty deployments, we confirm the API endpoint and authentication method (token-based or OAuth) with the customer's infrastructure team.
Data extraction and transform
We extract all objects from Freshmarketer via REST API in dependency order: companies first (for deduping), then contacts, then deals, then activities. Each extraction run is chunked into batches of 100 records per call to respect the 1,000-request-per-hour limit. We transform field values during extraction: date formats normalized to ISO 8601, multi-select fields flattened to Twenty's accepted format, Freshmarketer lifecycle stage preserved in a custom field on Twenty Person, and owner email resolved to the Twenty WorkspaceMember lookup. We flag any record with a missing required field for customer resolution before import.
Staging import and reconciliation
We run a full import into a staging Twenty workspace using the extracted and transformed data. We reconcile record counts (companies in, contacts in, deals in, activities in) against Freshmarketer source totals and spot-check 25-50 records per object type for field-level accuracy. Any mapping corrections are made in the transform layer and the import is re-run before production migration begins. This step is mandatory for all migrations to catch field type mismatches before they affect live data.
Production migration and Journey state capture
We execute the production migration in dependency order: Companies, Persons (contacts), Opportunities (deals), Tasks (activities). Each phase emits a reconciliation report before the next phase begins. Simultaneously, we capture the active Journey state at cutover: for each Journey, we record which contacts were enrolled, at which step, and how long until the next scheduled action. This state is delivered as a structured JSON document and a human-readable replay plan. We do not import Journeys as executable logic because Twenty has no automation engine to receive them.
Cutover, validation, and automation rebuild handoff
We freeze Freshmarketer writes during cutover and run a final delta migration of any records modified during the migration window. We deliver the Migration Summary Report: record counts by object, field-level mapping reference, and the Journey state capture document. We include a post-migration checklist: WorkspaceMember access provisioning for all team members, DNS verification for any email sending domain, and a reference table mapping each Freshmarketer custom field to its Twenty counterpart. We do not rebuild Freshmarketer Journeys as automation in Twenty or any other platform; that work is scoped separately.
Platform deep dives
Freshmarketer
Source
Strengths
Weaknesses
Twenty CRM
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 Freshmarketer and Twenty CRM.
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
Freshmarketer: 1000 requests per hour per account.
Data volume sensitivity
Freshmarketer 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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