CRM migration
Field-level mapping, validation, and rollback between Optimiser CRM and Twenty CRM. We move data and schema; workflows are rebuilt natively in Twenty CRM.
Optimiser CRM
Source
Twenty CRM
Destination
Compatibility
9 of 12
objects map 1:1 between Optimiser CRM and Twenty CRM.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Moving from Optimiser CRM to Twenty CRM is a migration shaped by source-side constraints rather than destination capabilities. Optimiser CRM does not publish a public REST API or bulk export endpoint, so we extract data via the platform's built-in CSV export utility with automated pagination across multiple export runs to ensure complete record coverage. Each Optimiser instance defines its own custom field schema on Contacts, Companies, and Deals, so we enumerate every active field during scoping and create matching equivalents in Twenty before any value mapping begins. Twenty CRM, built on React, Node.js, and PostgreSQL with a GraphQL API, uses People and Organizations as its primary record types with Opportunities for pipeline management, and supports unlimited custom objects and self-hosting from its $9 per seat per month cloud tier or GPL-licensed self-hosted deployment. Workflows, automation rules, and assignment logic built in Optimiser do not export in machine-readable format; we deliver a written automation inventory with Twenty equivalent recommendations for your admin to rebuild. Activity history (calls, emails, meetings, notes) migrates as Activities linked to the correct Person or Organization parent record.
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 Optimiser CRM 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.
Optimiser CRM
Contact
Twenty CRM
Person
1:1Optimiser CRM Contact records map to Twenty CRM Person. Standard fields (name, email, phone, address) map to their Twenty equivalents; Optimiser's custom contact properties map to Twenty custom fields that we pre-create during schema design. Email address serves as the dedupe key during import. Owner assignment maps from Optimiser's contact owner to the matching Twenty User by email address.
Optimiser CRM
Company
Twenty CRM
Organization
1:1Optimiser Company records map to Twenty Organization. Company name becomes the Organization name; external ID or domain maps to the Website field where available. Organization is imported before Person records so that the Person-Organization lookup relationship is satisfied at the moment of Person insert, preventing orphaned Person records.
Optimiser CRM
Deal
Twenty CRM
Opportunity
1:1Optimiser Deal records map to Twenty Opportunity. Deal stage maps to Twenty pipeline stage via a stage-mapping table defined during scoping; deal value and expected close date map directly. Optimiser's custom deal properties map to Twenty custom Opportunity fields. Owner assignment resolves via email match to Twenty User.
Optimiser CRM
Lead
Twenty CRM
Opportunity
1:1Optimiser Lead records map to Twenty Opportunity when the migration scope calls for a unified pipeline. Lead status, lead source, and any scoring values migrate as custom Opportunity fields (lead_status__c, lead_source__c). Note that Twenty's GitHub roadmap (issue #10422) identifies a native lead-to-custom-object convert action as a planned feature; we currently handle the lead record as a static Opportunity with a custom type field distinguishing it from converted deal Opportunities.
Optimiser CRM
Activity (Calls, Emails, Meetings, Notes)
Twenty CRM
Activity
1:1Optimiser Activities (calls, emails, meetings, notes) logged against Contacts, Companies, or Deals export as activity records. We import these as Twenty Activities in chronological order using the original timestamp for ordering, and associate them to the correct parent record (Person or Organization) via lookup resolution. Activity type determines which Twenty Activity sub-fields populate (call duration, email subject, meeting location, note body).
Optimiser CRM
Document (File Attachment)
Twenty CRM
Attachment (via URL reference or re-upload)
lossyOptimiser document attachments referenced by URL or stored in the platform's file store are downloaded locally during the migration window, re-uploaded to Twenty, and linked to the correct parent Person or Organization record. If attachments are embedded inside Optimiser's note content rather than stored as separate files, the note body migrates as-is with the attachment reference preserved as a URL string pending the customer's file migration decision.
Optimiser CRM
User (Owner)
Twenty CRM
User
1:1Optimiser User records (name, email, role) map to Twenty User by email address. Owner assignment on Deals, Contacts, and Activities resolves via the User mapping. Any Optimiser user without a matching Twenty User goes to a reconciliation queue for the customer's admin to provision the account before record import resumes.
Optimiser CRM
Pipeline / Deal Stage
Twenty CRM
Pipeline Stage
lossyOptimiser's configurable pipeline stages per deal type map to Twenty's pipeline stage configuration. We extract the full stage list from the source during scoping, map each stage name to a corresponding Twenty stage, and configure the pipeline in Twenty before Deal import begins. Stages with zero records are excluded from the stage list to avoid creating inactive pipeline columns in Twenty.
Optimiser CRM
Tag / Label
Twenty CRM
Tag / Label
1:1Tags applied to Optimiser Contacts or Deals export as label values. We migrate tags as-is and create matching tag sets in Twenty where the platform supports them. Tags with no records are excluded from the migration to avoid creating empty label sets in the destination.
Optimiser CRM
Custom Fields (Contact, Company, Deal)
Twenty CRM
Custom Fields
lossyOptimiser custom fields on Contacts, Companies, and Deals are enumerated per-instance during scoping. We create matching custom fields in Twenty on the equivalent object (Person, Organization, Opportunity), apply the appropriate field type (text, number, date, picklist), and map values during the respective object import phase. Fields with zero data across all records are excluded from the migration to avoid creating dead columns in Twenty.
Optimiser CRM
Custom Object
Twenty CRM
Custom Object
1:1Optimiser's custom properties on standard objects are treated as Custom Fields. If the customer's Optimiser instance uses a separate custom object module, that maps to a Twenty Custom Object of the matching name. We pre-create the destination custom object schema in Twenty, including all custom properties, lookup relationships, and any type constraints, before importing any data. Custom object import runs last because it may have lookups to standard objects (Person, Organization) that must already exist.
Optimiser CRM
Project
Twenty CRM
Custom Object (Project)
1:1Optimiser Project module records migrate to a Twenty Custom Object named Project when the customer includes Projects in migration scope. Project-Company and Project-Contact associations migrate as lookup relationships in Twenty. Most CRM-to-CRM migrations treat Projects as a secondary pass after the primary Contact-Company-Deal migration; we scope it explicitly during discovery to avoid unplanned complexity.
| Optimiser CRM | Twenty CRM | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Lead | Opportunity1:1 | Fully supported | |
| Activity (Calls, Emails, Meetings, Notes) | Activity1:1 | Fully supported | |
| Document (File Attachment) | Attachment (via URL reference or re-upload)lossy | Fully supported | |
| User (Owner) | User1:1 | Fully supported | |
| Pipeline / Deal Stage | Pipeline Stagelossy | Fully supported | |
| Tag / Label | Tag / Label1:1 | Fully supported | |
| Custom Fields (Contact, Company, Deal) | Custom Fieldslossy | Fully supported | |
| Custom Object | Custom Object1:1 | Fully supported | |
| Project | Custom Object (Project)1:1 | 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.
Optimiser CRM gotchas
No public API documentation for data export
Custom field schema varies by instance
Automation rules do not transfer
Limited review volume for independent evaluation
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 scoping
We audit the source Optimiser CRM instance across object types, active custom fields, pipeline configurations, engagement history volume, and any identified automations. We request a trial CSV export from the customer to enumerate every active field across Contacts, Companies, Deals, and Leads. We also inventory active workflows and automation rules the customer wants documented for rebuild. The discovery output is a written migration scope covering object list, estimated record counts, custom field inventory, and pipeline stage mapping table.
Destination schema design in Twenty CRM
We design the target schema in Twenty before any data moves. This includes creating custom fields on Person, Organization, and Opportunity to match the Optimiser custom field inventory; configuring pipeline stages to match the Optimiser stage mapping table; creating any Custom Object schemas required; and defining tag/label sets. We also set up the Twenty User accounts (or confirm they exist) to match the Optimiser owner email list so that Owner resolution works at import time.
Sandbox import and reconciliation
We run a full migration into a Twenty test instance using production-like data volume. The customer reconciles record counts, spot-checks 20-30 records against the Optimiser source for field accuracy and relationship integrity, and signs off the schema and mapping before production migration begins. Any mapping corrections happen in this phase. Twenty's import UI runs entirely in the browser with no external tooling, so the sandbox pass also validates that the team's Twenty instance is provisioned and accessible.
CSV export with automated pagination
We export from Optimiser CRM using the built-in CSV export utility. For large datasets that exceed the per-run record limit, we automate pagination across multiple sequential export runs, download each file, and merge them into a single consolidated dataset per object before transformation. We validate total record counts per object after export against the discovery estimates to confirm complete coverage before proceeding.
Data transformation and import in dependency order
We transform each object from Optimiser's schema to Twenty's schema per the mapping document, applying field type conversions (date formats, picklist values, owner email resolution) during the transform phase. Import runs in Twenty's required dependency order: Organizations first, then Persons, then Opportunities, then Activities, then Custom Objects last. Each phase emits a row-count reconciliation report confirming the expected number of records landed before the next phase begins.
Cutover and post-migration handoff
We freeze Optimiser writes during the cutover window, run a final delta migration of any records modified during the migration, then hand the customer a written automation inventory with recommended Twenty equivalents for each identified Optimiser workflow. We conduct a post-migration validation pass checking record counts, relationship integrity, and a spot-check sample of 10-25 records. We support a one-week hypercare window for reconciliation issues raised by the team. We do not rebuild Optimiser automations as Twenty workflows inside standard migration scope.
Platform deep dives
Optimiser CRM
Source
Strengths
Weaknesses
Twenty CRM
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 7 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Optimiser CRM and Twenty CRM.
Object compatibility
7 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
Optimiser CRM: Not publicly documented.
Data volume sensitivity
Optimiser CRM 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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