CRM migration

Migrate from Real Estate CRM to Twenty CRM

Field-level mapping, validation, and rollback between Real Estate CRM and Twenty CRM. We move data and schema; workflows are rebuilt natively in Twenty CRM.

Real Estate CRM logo

Real Estate CRM

Source

Twenty CRM

Destination

Twenty CRM logo

Compatibility

100%

12 of 12

objects map 1:1 between Real Estate CRM and Twenty CRM.

Complexity

BStandard

Timeline

3–5 days

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Real Estate CRM platforms typically store People (contacts), Companies, Opportunities (deals), Notes, Tasks, and may include custom objects for property listings, transactions, or agent performance tracking. Twenty CRM mirrors this structure with its own People, Companies, Opportunities, Notes, and Tasks standard objects plus an unlimited Custom Object model. FlitStack AI migrates the full record graph by pulling data via each platform's export or API endpoints, mapping source fields to Twenty's corresponding objects and creating custom fields for any source‑only properties. Owner resolution runs by email match against Twenty workspace members. During the pre‑migration audit, FlitStack profiles record counts, detects duplicates, and flags missing required fields, ensuring a clean data set before import. The migration skips attachments, email/engagement history, workflows, and automations — those must be rebuilt in Twenty's workflow builder post‑migration. For Real Estate CRM exports that exceed Twenty's 20,000‑record CSV export limit, FlitStack sequences API‑based batch pulls using cursor pagination, chunking up to 5,000 records per request to stay within both platforms' rate limits. A delta pickup window of 24–48 hours captures any new or changed records during cutover, and an audit log records every insert, update, or skip. If reconciliation detects mismatches, one‑click rollback reverts the Twenty workspace to its pre‑migration state.

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

Real Estate CRM logo

Real Estate CRM

What's pushing teams away

  • Agent-centric platforms can feel limiting for brokerage-level reporting and compliance tracking across multiple agents and offices.
  • Integration ecosystems are narrower than generic CRMs; teams that need deep accounting or marketing tool integrations often outgrow them.
  • Per-agent pricing can become expensive for large teams, pushing brokers toward enterprise platforms with flat-fee or volume licensing.
  • Customization limits on pipelines, fields, and workflows drive teams to platforms with more flexible schema builder tools.
  • Data portability concerns arise when agents want to leave; export functionality varies widely and historical data may be difficult to extract.

Choosing

Twenty CRM logo

Twenty CRM

What's pulling them in

  • Top open-source CRM on GitHub with 40.6K stars, giving teams full source code access and infrastructure ownership without per-feature licensing surprises.
  • Free self-hosting under AGPL-3.0 means unlimited users and custom objects for the cost of cloud infrastructure alone, typically $20–100/month.
  • Pricing page explicitly mocks competitors for charging add-on fees for API access, webhooks, and workflows — transparency that resonates with RevOps teams burned by Salesforce.
  • Unlimited custom objects and fields with no price impact, letting teams shape the data model to their business rather than forcing business into rigid schemas.
  • Modern TypeScript/React/PostgreSQL stack means developer-led teams can extend, self-host, or integrate without fighting legacy architecture.

Object mapping

How Real Estate CRM objects map to Twenty CRM

Each row shows how a Real Estate 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.

Real Estate CRM

Contact / People

maps to

Twenty CRM

People

1:1
Fully supported

Real Estate CRM contacts map directly to Twenty's People object, which stores name, email, phone, job title, address fields, and a companyId relation linking each person to its associated company. Owner assignments from Real Estate CRM resolve by matching the owner email to Twenty workspace members before record insertion, preserving the original createdAt and updatedAt timestamps as custom datetime fields for audit continuity.

Real Estate CRM

Company / Organization

maps to

Twenty CRM

Company

1:1
Fully supported

Real Estate CRM company records map to Twenty's Companies object, which holds the company name, domain/website, industry, employee count, annual revenue, and a full address compound field (street, city, state, postal, country). If the source includes custom pick‑list values for industry, FlitStack creates matching select options in Twenty before import, ensuring clean mapping without manual correction.

Real Estate CRM

Deal / Opportunity

maps to

Twenty CRM

Opportunity

1:1
Fully supported

Real Estate CRM deals map to Twenty Opportunities. Each Opportunity links to a Company via companyId and optionally to a Person via peopleId. Stage names require value-by-value mapping because Real Estate CRM pipeline stages and Twenty Opportunity stages rarely share identical labels.

Real Estate CRM

Pipeline / Pipeline Stage

maps to

Twenty CRM

Opportunity Stage (custom field)

1:1
Fully supported

Real Estate CRM pipeline stages become a custom Select field on the Twenty Opportunity object. Each source stage label maps to a defined Twenty select option. Stage probability values are stored as a separate custom Number field for reporting continuity.

Real Estate CRM

Lead Status / Lifecycle Stage

maps to

Twenty CRM

Custom field on People

1:1
Fully supported

Real Estate CRM may use lifecycle stage or lead status to track where a contact sits in the sales funnel. Twenty has no native equivalent, so FlitStack creates a lifecycle_stage__c custom Select field on the People object with the exact values from the source system.

Real Estate CRM

Note / Free-Form Note

maps to

Twenty CRM

Note

1:1
Fully supported

Notes from Real Estate CRM migrate to Twenty Notes, linking each note to a People or Company record via targetId and targetObjectName. Rich‑text formatting is retained when the source export provides HTML; plain text imports without formatting loss. Any source‑only metadata (e.g., note category) is stored as a custom text field on the Twenty note for future reference.

Real Estate CRM

Task / To-Do / Follow-Up

maps to

Twenty CRM

Task

1:1
Fully supported

Real Estate CRM tasks and to‑dos migrate to Twenty Tasks, attaching to a People, Company, or Opportunity via the linkableObjects array. Task status (open/done), due date, and assignee are resolved by matching the assignee email to a Twenty workspace member; unresolved assignees are flagged for team‑level remediation. Original createdAt timestamps are preserved as a custom datetime field for historical tracking.

Real Estate CRM

Custom Object: Property / Listing

maps to

Twenty CRM

Custom Object

1:1
Fully supported

Many Real Estate CRM setups include a Property or Listing custom object holding address, listing type, price, status, and agent assignment. This maps to a Twenty Custom Object named 'Property' — fields map individually and the object links to the relevant Company or Opportunity.

Real Estate CRM

Custom Object: Transaction

maps to

Twenty CRM

Custom Object

1:1
Fully supported

Transaction records from Real Estate CRM — including commission amount, close date, buyer/seller party, and property reference — migrate to a Twenty Custom Object named 'Transaction'. Foreign keys to People and Company are resolved using email and domain lookup keys respectively, ensuring referential integrity before the transaction rows are inserted. Any source‑specific fields not present in Twenty's standard schema become custom fields defined during schema design.

Real Estate CRM

Owner / User / Agent

maps to

Twenty CRM

WorkspaceMember (via email resolution)

1:1
Fully supported

Real Estate CRM owner IDs map to Twenty workspace members by email address lookup. Unmatched owners are flagged before migration — the team either invites those users to Twenty first or assigns records to a designated fallback workspace member. Source owner IDs are preserved as a custom field for audit.

Real Estate CRM

Attachment / File

maps to

Twenty CRM

File (manual re-upload)

1:1
Fully supported

File attachments stored in Real Estate CRM are exported to a local file store and delivered alongside the migration package. Twenty's file upload is a UI-based operation — FlitStack provides a file manifest so your team can re-associate attachments to the correct records post-migration.

Real Estate CRM

Engagement / Activity History

maps to

Twenty CRM

Note / Activity Log (partial)

1:1
Fully supported

Real Estate CRM may log call records, email threads, and meeting history as engagement objects. Twenty's activity model is simpler — calls and meetings are not native record types. FlitStack preserves the text content of recent engagement records as Notes on the relevant People record; historical activity is flagged as a rebuild candidate in Twenty.

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.

Real Estate CRM logo

Real Estate CRM gotchas

Medium

Contact type categorization schema varies across real estate CRMs

Medium

Closing date attachment logic is platform-dependent

Medium

Multi-source contact deduplication is required before migration

High

Document attachments are not always accessible via CRM API

Medium

Agent owner assignment fails for inactive or deleted users

Twenty CRM logo

Twenty CRM gotchas

High

Import order is enforced and critical

High

Export limited to 20,000 records and visible columns only

Medium

Soft-deleted records count toward uniqueness and trigger restores

Medium

API rate limits cap at 200 req/min on Organization tier

Low

No native email sequences — follow-up cadences require external tools

Pair-specific challenges

  • Twenty's import order enforces referential integrity — Companies must migrate before People

    Twenty's CSV import and API batch insert both require that the 'one' side of any relationship exists before the 'many' side can reference it. Specifically, Company records must be migrated and committed before People records that link via companyId can be imported. If your Real Estate CRM stores contacts with primary company assignments, the People import will fail silently for any record whose companyId has not yet resolved. FlitStack sequences the migration: Companies first, then People with companyId lookups, then Opportunities and Tasks. This constraint does not exist in most Real Estate CRM platforms where relationships are established in a single import pass.

  • Twenty's 20,000-record CSV export limit requires batch sequencing for large datasets

    Twenty's built-in CSV export (Command Menu → Export view) caps at 20,000 records per file. If your Real Estate CRM exports produce a combined People + Company dataset exceeding 20,000 records, a naive two-file export will silently truncate at that threshold. FlitStack detects the row count before migration planning and sequences API-based batch pulls using cursor pagination to collect the full dataset across multiple requests. For the reverse direction (exporting Twenty data), the same limit applies — the migration plan documents this for any future re-migrations.

  • Real Estate CRM automations and workflows have no Twenty equivalent to migrate

    Every Real Estate CRM platform ships with its own workflow builder, sequence engine, and automation logic — and none of these translate to Twenty's workflow system. Twenty's workflow builder (Settings → Workflows) handles trigger-action rules on record creation and field changes, but it does not support multi-step sequences, time-decay follow-up cadences, or conditional branching based on engagement signals. The migration delivers a structured export of your source workflow definitions (trigger types, conditions, actions) so your Twenty admin can rebuild them. This is always a manual step; FlitStack marks it explicitly in the post-migration checklist.

  • Real Estate CRM property listing and transaction custom objects need manual schema design in Twenty

    Real Estate CRM platforms often include domain-specific objects — Property (with fields like listing_type, price, status, mls_number), Transaction (with buyer, seller, commission, close date), and Agent — that have no direct Twenty standard object equivalent. Twenty handles these as Custom Objects, but the workspaceMember must pre-create them via Settings → Data Model before any records can import. FlitStack delivers a custom object specification (object name, field names, field types) as part of the migration plan so the Twenty workspace can be provisioned before data lands. If those custom objects are not created first, the import will fail on the relation step.

  • Twenty's API rate limits (100–200 calls/min) affect migration throughput for large datasets

    Twenty's Cloud Pro tier allows 100 API calls per minute and the Organization tier allows 200 calls per minute. Real Estate CRM platforms with large record volumes (50,000+ records across People, Companies, Opportunities, and custom objects) will exhaust these limits during a bulk import run, causing HTTP 429 responses. FlitStack manages the Twenty API write queue with automatic backoff and jitter between retries, distributing inserts across the rate limit window. The migration plan documents the expected API call count and estimated runtime based on the source record volume so teams can schedule the migration run during off-peak hours.

Migration approach

Six steps for a successful Real Estate CRM to Twenty CRM data migration

  1. Audit source data and design the Twenty schema plan

    FlitStack pulls a full export from your Real Estate CRM via CSV export or API, depending on what the platform exposes. We profile the record counts by object, identify custom fields and pick-list values, and audit data quality (duplicate detection, missing required fields, malformed dates). Simultaneously, we review Twenty's current data model and deliver a schema setup plan: which custom Select fields need their option values defined, which custom objects need to be created, and what the import order will be. Your Twenty workspace admin (or FlitStack's implementation team) creates the schema before data moves.

  2. Invite and resolve workspace members by email

    Twenty requires that any user referenced as a record owner or assignee must exist in the workspace before the import can link to them. FlitStack extracts all owner and assignee emails from the source export, matches them against the list of invited Twenty workspace members, and flags any unmatched users. Your team either invites those users to Twenty before migration or designates a fallback workspace member to receive unassigned records. No record lands in Twenty without a resolvable assignee — this prevents orphaned records that have no linked owner.

  3. Migrate Companies first, then People, then Opportunities and Tasks

    Twenty enforces referential integrity: the Company record must exist before a People record can link to it via companyId. FlitStack sequences the migration in strict dependency order. Companies (and any custom objects that have no relations) migrate in the first pass. People and custom objects with companyId relations migrate in the second pass, now that the companyId foreign keys can resolve. Opportunities and Tasks follow in the third pass, referencing both People and Company IDs. This sequencing is determined by the migration plan and executed automatically by the FlitStack import engine.

  4. Run a sample migration with field-level diff before the full run

    Before committing the full dataset, FlitStack runs a sample migration on a representative slice — typically 100 to 500 records spanning People, Companies, Opportunities, and any custom objects. We generate a field-level diff comparing the source field values against the Twenty record values so you can verify that stage names mapped correctly, owner resolution worked, and custom field values landed as expected. You review the diff and approve before the full migration run commits. Any mapping corrections happen at this stage.

  5. Execute full migration with delta pickup window and rollback available

    The full migration runs against Twenty using the validated mapping. A delta pickup window (typically 24–48 hours) captures any records created or modified in Real Estate CRM during the cutover period. FlitStack maintains an audit log of every record inserted, updated, or skipped. If reconciliation detects record count mismatches or data integrity failures, one-click rollback reverts the Twenty workspace to its pre-migration state. After rollback confirmation, the full run can be re-executed with corrected mapping logic.

Platform deep dives

Context on both ends of the pair

Real Estate CRM logo

Real Estate CRM

Source

Strengths

  • Pre-built real estate pipeline stages and lifecycle workflows require minimal configuration for standard agent teams.
  • IDX and MLS integration for lead capture and listing sync is native to most real estate CRM platforms.
  • Automated follow-up sequences, SMS drip campaigns, and birthday reminders are tuned for real estate lead nurture cadence.
  • Contact role categorization (buyer, seller, tenant) is built into the data model rather than requiring manual field population.
  • Mobile-first design for field agents who are showing properties and need CRM access on-site.

Weaknesses

  • Per-agent pricing model scales poorly for large teams and brokerage-level deployments.
  • Integration ecosystem is narrower than horizontal CRMs, with limited native accounting and ERP connectors.
  • Custom field and object customization is more restricted than platforms like Salesforce or HubSpot.
  • Export and data portability features are inconsistently implemented across real estate CRM vendors.
  • Brokerage-level reporting, compliance audit trails, and multi-office management are often add-ons or unavailable on lower tiers.
Twenty CRM logo

Twenty CRM

Destination

Strengths

  • AGPL-3.0 open-source license with full source code on GitHub — no vendor lock-in, no sunset risk.
  • Unlimited users and unlimited custom objects on self-hosted, with no feature gating based on headcount.
  • REST and GraphQL APIs available on all paid tiers, not locked behind an enterprise add-on fee.
  • MCP server and webhooks shipped as standard features, not premium upgrades.
  • Modern PostgreSQL-backed data model that developer teams can query, extend, and self-host.

Weaknesses

  • Recent v1.0 release means limited production hardening compared to CRMs with multi-year operational track records.
  • No native email sequencing or sales engagement tools — follow-up cadences require a separate platform.
  • No native two-way email sync or inbox integration, requiring third-party connectors for full activity logging.
  • Self-hosting 'free' pricing hides real infrastructure and DevOps costs that stack up over time.
  • Workflow automation is functional but lacks the complexity needed for sophisticated multi-step sales motions.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Real Estate CRM and Twenty CRM.

  • Object compatibility

    B

    3 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Real Estate CRM: Not publicly documented.

  • Data volume sensitivity

    B

    Real Estate CRM doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Real Estate CRM to Twenty CRM migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Real Estate CRM to Twenty CRM data migrations

Answers to the questions buyers ask most during Real Estate CRM to Twenty CRM migration scoping. Not seeing yours? Book a call.

Can't find your answer?

Walk through your Real Estate CRM to Twenty CRM migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most Real Estate CRM to Twenty migrations complete in 3–5 days of clock time for under 50,000 total records. Larger datasets exceeding 100,000 records or setups with multiple custom objects (Property, Transaction) extend to 1–2 weeks. The longest planning step is designing the Twenty custom object schema before any data moves — that work runs in parallel with data audit and typically takes 1–2 days. The actual migration run (sample plus full) runs within 48–72 hours.

Adjacent paths

Related migrations to explore

Ready when you are

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