CRM migration
Field-level mapping, validation, and rollback between Efficy CRM and Twenty CRM. We move data and schema; workflows are rebuilt natively in Twenty CRM.
Efficy CRM
Source
Twenty CRM
Destination
Compatibility
10 of 11
objects map 1:1 between Efficy CRM and Twenty CRM.
Complexity
BStandard
Timeline
4-6 weeks
Overview
Moving from Efficy CRM to Twenty CRM is a structural migration across two fundamentally different data architectures. Efficy uses Companies as the top-level entity with Contacts and Opportunities linked through foreign keys, requiring a strict import sequence of Companies first, then Contacts, then Opportunities. Twenty uses Company and Person as separate standard objects with a link field for the relationship. We resolve that structural difference during scoping, create the destination schema in Twenty's metadata system before any data import begins, and handle Efficy's JSON-RPC Enterprise API extraction in dependency order. Workflows, automations, and follow-up sequences are not exported by Efficy's tooling and must be rebuilt in Twenty by the customer's admin. Twenty's custom object model is intentional and flexible but requires schema creation upfront, which we complete before migration runs. Projects and Tickets from Efficy map to Twenty custom objects or to Opportunities depending on the customer's data classification during discovery.
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 Efficy 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.
Efficy CRM
Company
Twenty CRM
Company
1:1Efficy Companies map directly to Twenty Company records. The company name maps to Company.displayName, website to Company.domainName, and industry to a custom field we create during schema setup because Twenty does not ship an industry picklist out of the box. We create the Company records first in the migration sequence because both Contacts and any Opportunity-linkable entities reference them as the top-level parent. Efficy's multi-address support on Company maps to custom address fields or to a related custom address object we pre-create in Twenty's metadata API.
Efficy CRM
Contact
Twenty CRM
Person
1:1Efficy Contacts map to Twenty Person records. The mapping is straightforward for standard properties: name, email, phone, and address transfer directly. The Company linkage uses Efficy's CONTACT link to COMPANY and maps to Twenty's Person.companyId field pointing to the previously migrated Company record. Efficy custom fields on Contact require explicit mapping to Twenty custom fields on Person, which we create during the schema preparation phase. Multi-address contacts from Efficy may require flattening to a single address or a custom address object depending on usage frequency.
Efficy CRM
Opportunity
Twenty CRM
Opportunity
1:1Efficy Opportunities map to Twenty Opportunity records. The pipeline stage name maps to Opportunity.stage, deal value to Opportunity.amount, and expected close date to Opportunity.closeDate. Owner assignment migrates via email-to-user resolution. We resolve the Company link to Opportunity.accountId using the Company mapping created in step one. Efficy's deal priority or probability maps to a custom field because Twenty does not ship a native probability percentage field on Opportunity by default.
Efficy CRM
Activities (Calls, Emails, Meetings, Tasks)
Twenty CRM
Activities linked to Person/Company/Opportunity
1:1Efficy activity records (calls, emails, meetings, tasks) linked to Contacts or Opportunities migrate to Twenty's activity timeline on the corresponding Person, Company, or Opportunity record. We preserve the parent linkage by resolving the Efficy CONTACT or OPPORTUNITY reference to the Twenty ID at migration time. Call duration, disposition, and meeting location transfer to custom fields on the activity record. Email body content migrates as an activity note. Task status and priority map directly.
Efficy CRM
Project
Twenty CRM
Custom Object (Project)
1:1Efficy's project management module with Kanban views, milestones, and resource management maps to a Twenty custom object we create via the /metadata API before migration runs. The custom object schema includes fields for project name, status, start and end dates, and any milestone flags stored in Efficy. Tasks within the project migrate as activities on the custom Project record via a custom link field. Nested task dependencies require flattening or a custom dependency field depending on the destination's capability.
Efficy CRM
Ticket
Twenty CRM
Custom Object (Ticket) or Case
1:1Efficy ticketing module records with status, priority, and agent assignment map to a Twenty custom object for support cases. We create the Ticket custom object during schema preparation with fields for ticket ID, status, priority, agent, and customer. Conversation history from Efficy ticket threads migrates as threaded comments or activity notes on the Ticket record. Custom ticket fields from Efficy require explicit mapping to equivalent custom fields on the Twenty Ticket object.
Efficy CRM
Custom Fields
Twenty CRM
Custom Fields on Standard and Custom Objects
lossyEfficy custom fields on Companies, Contacts, Opportunities, and other objects migrate to Twenty custom fields created via the metadata API before data import begins. We extract the full field schema per object during discovery, create the equivalent Twenty custom fields with matching data types (text, number, date, picklist), and then map the field values during the data migration phase. This ensures schema exists before data, avoiding import failures on records with custom field values.
Efficy CRM
User
Twenty CRM
WorkspaceMember
1:1Efficy users with roles and assignments map to Twenty WorkspaceMember records. Owner assignments on Efficy Opportunities and Activities resolve to the corresponding Twenty WorkspaceMember by email match. Inactive Efficy users are excluded from user count mapping but their historical owner assignments on records are preserved in the migrated data with the assignment intact.
Efficy CRM
Documents
Twenty CRM
Attachments on Company/Person/Opportunity
1:1Documents attached to Efficy Companies, Contacts, or Opportunities migrate as file attachments on the corresponding Twenty record. We flag any documents without a download URL in Efficy's system and flag them for the customer's admin to handle manually after migration. For documents with URLs, we migrate the attachment reference and note the source URL for re-download if needed. Binary document blobs require Efficy's export capability to be confirmed before migration.
Efficy CRM
Tag
Twenty CRM
Tag
1:1Tags on Efficy Companies, Contacts, and Opportunities map to Twenty Tag records linked via the standard tag association. Efficy segments and list memberships flatten to tags on individual records because Twenty's tag model is object-level rather than list-based. We extract all unique tag values during discovery and create them in Twenty before the record import phase.
Efficy CRM
Workflows and Automations
Twenty CRM
Not Migrated
1:1Efficy automation rules, follow-up sequences, and workflow triggers do not export via the API or import wizard. We document every active automation during discovery with its trigger, conditions, and actions, and deliver a rebuild specification in a written inventory document. The customer uses this document to recreate logic in their chosen automation layer (webhooks, third-party tools, or custom code). Rebuild effort is estimated separately and is not included in standard migration scope.
| Efficy CRM | Twenty CRM | Compatibility | |
|---|---|---|---|
| Company | Company1:1 | Fully supported | |
| Contact | Person1:1 | Fully supported | |
| Opportunity | Opportunity1:1 | Fully supported | |
| Activities (Calls, Emails, Meetings, Tasks) | Activities linked to Person/Company/Opportunity1:1 | Fully supported | |
| Project | Custom Object (Project)1:1 | Fully supported | |
| Ticket | Custom Object (Ticket) or Case1:1 | Fully supported | |
| Custom Fields | Custom Fields on Standard and Custom Objectslossy | Mapping required | |
| User | WorkspaceMember1:1 | Fully supported | |
| Documents | Attachments on Company/Person/Opportunity1:1 | Mapping required | |
| Tag | Tag1:1 | Fully supported | |
| Workflows and Automations | Not Migrated1:1 | Not 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.
Efficy CRM gotchas
No free tier or trial removes low-risk evaluation
Workflows and automations are not migratable
Easy Import Wizard requires ordered sequencing
Language inconsistencies in the UI
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 schema audit
We audit the Efficy source environment across all modules in use, extracting the full field schema per object (standard and custom fields), identifying active automations and workflows, mapping active user count, and estimating record volumes for Companies, Contacts, Opportunities, Activities, Projects, and Tickets. We pair this with a Twenty environment review to confirm the metadata API access, verify the target workspace is provisioned, and identify any custom objects already created. The discovery output is a written migration scope document with the full field mapping table and a Twenty schema creation plan.
Twenty schema creation via metadata API
We create all required custom fields in Twenty before any data import begins. This includes custom fields on Person for Efficy Contact properties not covered by Twenty's standard fields, custom fields on Company for industry and address variants, custom fields on Opportunity for probability and custom deal properties, and any custom objects (Project, Ticket) with their full field schemas. We create these via Twenty's /metadata API, which updates the GraphQL schema and makes the fields available for import in subsequent steps. Schema creation is validated by querying the new fields via Twenty's GraphQL endpoint before the data migration phase starts.
Efficy data extraction and staging
We extract data from Efficy using the JSON-RPC Enterprise API or REST endpoints, pulling Companies, Contacts, Opportunities, Activities, Projects, Tickets, and Users in dependency order. Each object is staged in a CSV or JSON format with foreign key references preserved as Efficy IDs. We run a simulated import of the staged data into Twenty's staging environment (a test workspace or a parallel Twenty instance) to validate field mappings and catch any schema mismatches before production migration begins. Reconciliation reports comparing staged record counts to Efficy source counts are produced and signed off by the customer before proceeding.
Production migration in dependency sequence
We run production migration into Twenty following the strict dependency order: Companies (with Company IDs captured for lookups), then Persons (with companyId resolved to the migrated Company), then Opportunities (with accountId resolved to the migrated Company), then Activities (with parent record IDs resolved to the migrated Person, Company, or Opportunity), then custom objects (Projects, Tickets) with their lookup fields resolved last. Each phase emits a reconciliation report comparing migrated record counts, and we validate foreign key linkage after each phase to catch orphaned records before the next batch starts.
Custom object data migration
After standard objects (Company, Person, Opportunity) are migrated, we migrate the Efficy Project and Ticket modules to their corresponding Twenty custom objects. This step runs last because Projects and Tickets may have lookup relationships to the migrated Companies, Contacts, or Opportunities, and those target IDs must exist in Twenty before the import. Custom field values for Project and Ticket are mapped during this phase. We validate that all Project and Ticket records have a valid parent lookup before closing the migration phase.
Cutover, validation, and automation inventory handoff
We freeze writes in Efficy during the cutover window, run a final delta migration of any records modified during the migration run, then enable Twenty as the system of record. We deliver the automation inventory document to the customer's admin team, documenting every Efficy automation trigger, condition, and action with a recommended rebuild approach in the customer's chosen automation layer. We support a one-week hypercare window to resolve any data reconciliation issues raised during the parallel validation period. Workflow rebuild, automation rebuild, and training are outside standard migration scope and are handled as separate engagements.
Platform deep dives
Efficy CRM
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 Efficy CRM 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
Efficy CRM: Not publicly documented by Efficy.
Data volume sensitivity
Efficy CRM exposes a bulk API — large-volume migrations stream efficiently.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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