CRM migration

Migrate from Real Estate CRM to Odoo CRM

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

Real Estate CRM logo

Real Estate CRM

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

100%

16 of 16

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

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Real Estate CRM stores deals with embedded property objects — address, listing price, bedrooms, bathrooms, property type, and status — alongside contacts and activity history. Odoo CRM consolidates both into its crm.lead model (for leads and opportunities) and res.partner model (for contacts and companies), storing real estate-specific data as custom fields. The migration extracts Real Estate CRM records via API or CSV export, transforms them to Odoo's crm.lead schema, and maps contacts to res.partner while preserving the is_company flag and company hierarchy. Deal pipeline stages translate through value-by-value mapping against Odoo's stage records, and real estate custom fields are created as ir.model.fields on the crm.lead model before data lands. Automations, sequences, and custom reports do not migrate — FlitStack exports those definitions as a rebuild reference for your Odoo admin. Owner resolution uses email matching against Odoo res.users to maintain accountability post-migration. The migration runs with scoped read access on Real Estate CRM, followed by a delta-pickup window at cutover to capture in-flight changes.

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

Odoo CRM logo

Odoo CRM

What's pulling them in

  • Teams choose Odoo CRM for its modular architecture — one base install with one-click app additions means they can adopt CRM alone and add accounting, inventory, or sales later as the business grows.
  • Small businesses pick Odoo because the Community edition is free and open-source, with no per-user or contact limits, allowing full evaluation before committing to a paid Enterprise tier.
  • The drag-and-drop Kanban pipeline and AI lead scoring are highlighted across G2 reviews as concrete features that make lead management faster and more visual than spreadsheet-based workflows.
  • Odoo's native integration with email, live chat, SMS, VoIP, and WhatsApp means inbound leads from multiple channels feed into a single pipeline without third-party middleware.
  • Companies in retail, supply chain, and construction value that Odoo's CRM module shares the same PostgreSQL database and UI as its ERP modules, eliminating data silos between sales and operations.

Object mapping

How Real Estate CRM objects map to Odoo CRM

Each row shows how a Real Estate CRM object lands in Odoo 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

maps to

Odoo CRM

res.partner

1:1
Fully supported

Real Estate CRM contacts map directly to Odoo res.partner records. Contacts flagged as companies in Real Estate CRM set is_company=True on the corresponding Odoo partner record, preserving the distinction between individuals and organizations. Email, phone, address, and job title all map to equivalent Odoo partner fields, while any custom contact fields are carried over as additional ir.model.fields on the res.partner model.

Real Estate CRM

Company

maps to

Odoo CRM

res.partner

1:1
Fully supported

Real Estate CRM company records map to Odoo res.partner with is_company=True. Company name maps to the partner name field, domain maps to website, and industry or employee count fields translate to Odoo's industry_id and employee_count where applicable. The Real Estate CRM parent-company hierarchy translates to Odoo's parent_id on res.partner, preserving the organizational structure in the target system.

Real Estate CRM

Property

maps to

Odoo CRM

crm.lead (custom fields)

1:1
Fully supported

Real Estate CRM property records carry listing price, address, property type, bedrooms, bathrooms, square footage, and status. Odoo has no native property model, so all these fields must be created as custom fields on crm.lead before migration. We map property.street, property.city, and property.state to the crm.lead street, city, and state fields respectively.

Real Estate CRM

Deal

maps to

Odoo CRM

crm.lead

1:1
Fully supported

Real Estate CRM deals map to Odoo crm.lead records. The deal name becomes the lead name, deal amount becomes planned_revenue, and close date becomes date_closed. The crm.lead type field is set to 'opportunity' for migrated deals. The Real Estate CRM contact on the deal links to the corresponding res.partner record via the partner_id field.

Real Estate CRM

Pipeline

maps to

Odoo CRM

crm.stage + crm.team

1:1
Fully supported

Real Estate CRM pipelines map to Odoo crm.stage records scoped by crm.team. Each Real Estate CRM pipeline name becomes a crm.stage sequence within the target Odoo sales team. Stage sequence order and probability values are configured per Odoo's stage model.

Real Estate CRM

Pipeline Stage

maps to

Odoo CRM

crm.stage

1:1
Fully supported

Stage names such as 'Showing Scheduled', 'Offer Made', and 'Closed Won' map value-by-value to corresponding Odoo crm.stage records. We preserve stage sequence order and assign probability percentages matching the Real Estate CRM stage configuration. Stage color and legend labels are carried over as Odoo stage name and display name attributes.

Real Estate CRM

Lead (inbound)

maps to

Odoo CRM

crm.lead (type=lead)

1:1
Fully supported

Inbound leads captured in Real Estate CRM without an associated deal map to Odoo crm.lead records with type='lead'. Contact information maps to res.partner, and the lead source field maps to Odoo's source_id (linked to crm.tracking.source records). These leads are available in Odoo's pipeline kanban view for sales team qualification.

Real Estate CRM

Activity: Call / Meeting / Note

maps to

Odoo CRM

mail.message / crm.lead.plan.metric

1:1
Fully supported

Real Estate CRM call logs and meeting records migrate as Odoo mail.message records attached to the corresponding crm.lead via the res_id and model fields. Call duration, outcome, and attendee information is preserved in the message body or as custom fields on the lead. Notes from Real Estate CRM become Odoo notes attached to the partner or lead.

Real Estate CRM

Attachment / File

maps to

Odoo CRM

ir.attachment

1:1
Fully supported

Property photos, contracts, and listing documents from Real Estate CRM are re-uploaded as Odoo ir.attachment records linked to the corresponding crm.lead or res.partner. The original file names and creation timestamps are retained in the ir.attachment metadata where possible. File size limits and attachment storage location (database vs. filestore) depend on the Odoo configuration, and any oversized files are flagged for manual review before upload.

Real Estate CRM

Custom Object: Property Type

maps to

Odoo CRM

crm.lead custom field

1:1
Fully supported

If Real Estate CRM has a dedicated Property Type object with its own fields and associations, FlitStack creates a custom field on crm.lead and maps the type name as a selection field value. Any sub-associations between Property Type and contacts are preserved as additional custom fields.

Real Estate CRM

Owner / Agent

maps to

Odoo CRM

res.users

1:1
Fully supported

Real Estate CRM owner and agent assignments resolve to Odoo res.users by email matching. Unmatched owners are flagged before migration so your team either invites them as Odoo users or assigns records to a fallback user. The owner_id on crm.lead is set after user resolution is complete.

Real Estate CRM

Tag / Label

maps to

Odoo CRM

crm.tag

1:1
Fully supported

Real Estate CRM tags applied to contacts, companies, or deals map to Odoo crm.tag records and are linked via the tag_ids many2many field on crm.lead. Tag labels, colors, and any associated metadata are preserved where they exist in Real Estate CRM. Tags are created in Odoo during the migration if they do not already exist, ensuring consistent taxonomy across the new system.

Real Estate CRM

Listing Status

maps to

Odoo CRM

crm.lead custom field (selection)

1:1
Fully supported

Real Estate CRM listing status values (Active, Pending, Sold, Off Market) map to a custom selection field on crm.lead. Each status value is mapped explicitly so the Odoo sales team sees the same pipeline state after migration. Archived listings are migrated with their original status flag preserved.

Real Estate CRM

Source / Lead Origin

maps to

Odoo CRM

crm.tracking.source

1:1
Fully supported

Real Estate CRM lead source values such as Zillow, Referral, Website, or MLS map to Odoo crm.tracking.source records. The source_id on crm.lead links each migrated opportunity to its original lead origin. If no matching source record exists, FlitStack creates it during migration.

Real Estate CRM

Historical Stage Timestamps

maps to

Odoo CRM

crm.lead custom datetime fields

1:1
Fully supported

Real Estate CRM stores the timestamp when a deal entered each stage. Odoo's stage history is tracked differently, so we create custom datetime fields such as stage_entered_date__c on crm.lead to preserve original stage-entry timestamps for reporting continuity. These custom fields enable analysts to calculate stage durations, compare pipeline velocity, and maintain historical pipeline performance metrics after the migration.

Real Estate CRM

Real Estate CRM System ID

maps to

Odoo CRM

crm.lead custom field (char)

1:1
Fully supported

The original Real Estate CRM record ID is stored as a char field on the crm.lead record (such as source_system_id__c) for traceability and delta-run de-duplication. This allows FlitStack to identify and update records on subsequent migration runs without creating duplicates.

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

Odoo CRM logo

Odoo CRM gotchas

High

Odoo.sh version gating blocks assisted migrations from trial

High

Enterprise modules fail to install on Community after database restore

Medium

Custom module view inheritance breaks between Odoo major versions

Medium

Custom fields risk losing their application context on Community

Low

API access for Community is gated behind the Custom Plan

Pair-specific challenges

  • Odoo External API requires Custom Plan — add-on cost not included in standard Odoo subscriptions

    The Odoo External JSON-2 API, which FlitStack uses to write records via /json/2/{model}/{method}, is only available on Custom Odoo pricing plans. Odoo Standard, Professional, and Enterprise Essential plans block external API access entirely. Migration teams must verify their Odoo plan includes the Custom plan tier before FlitStack can connect. This is a billing-level constraint, not a configuration one — Odoo will return a 403 Forbidden on API calls for ineligible plans. FlitStack documents this requirement during scoping and can alternatively use CSV import for plans without API access.

  • Real Estate CRM property objects have no native equivalent in Odoo crm.lead — all property data becomes custom fields

    Real Estate CRM platforms typically store property details (listing price, bedrooms, bathrooms, MLS number, square footage, property type, listing status) as first-class objects with their own fields. Odoo has no crm.property or listing model — all this data must live as custom fields on crm.lead. Custom field creation requires Odoo Studio or developer mode access, and each field adds to the crm.lead schema complexity. FlitStack pre-builds the custom field definitions in the migration plan so the Odoo admin can create them before data lands. Deals that have multiple associated properties in Real Estate CRM may need to become multiple crm.lead records or a custom real.estate.property junction model.

  • Real Estate CRM owner assignments require active Odoo users — unmatched owners block field write

    Odoo crm.lead.user_id (the salesperson field) only accepts the ID of an active res.users record. Real Estate CRM owner and agent fields store user names or IDs that do not correspond to Odoo user records by default. FlitStack resolves Real Estate CRM owner email addresses against Odoo res.users to find matches, but any owner without a corresponding Odoo user account is flagged before migration. If the Odoo user account does not exist, FlitStack cannot write the user_id field on the crm.lead and the record lands with a null owner — requiring post-migration reassignment by the Odoo admin.

  • Real Estate CRM N:N contact-to-company associations collapse to primary AccountId

    Real Estate CRM supports assigning a single contact to multiple companies with distinct roles (primary, co-broker, referral partner). Odoo res.partner uses a single parent_id field for the primary company and stores additional company associations in res.partner.industry or via Account Contact Relationships. When a Real Estate CRM contact has multiple company associations, FlitStack migrates the most recently modified or primary company as the res.partner parent_id, and surfaces the remaining associations for manual re-linkage in Odoo after migration.

  • Deal stage probability models differ — Real Estate CRM custom probabilities must re-enter Odoo stage settings

    Real Estate CRM allows custom probability percentages per pipeline stage independently of the stage name. Odoo crm.stage stores probability at the stage level and applies it automatically when a crm.lead enters that stage. If the migration carries Real Estate CRM probability values into custom fields but does not configure matching probabilities on Odoo crm.stage records, Odoo's forecast reporting will show different win rates than Real Estate CRM displayed. FlitStack creates a stage_probability_map custom field on crm.lead to preserve the original probability and recommends that Odoo admins configure matching stage probabilities in Settings > CRM > Stages before go-live.

Migration approach

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

  1. Validate Real Estate CRM export and map the schema

    FlitStack connects to the Real Estate CRM instance using the provided API credentials or initiates a bulk CSV export of all contacts, companies, properties, deals, and activity records. We validate the export completeness against the estimated record counts and document the Real Estate CRM field schema — including any custom property fields, pipeline stage names, owner assignments, and tag taxonomies. This gives us the complete field inventory needed for the Odoo migration plan.

  2. Audit data and design the Odoo schema mapping plan

    Our team audits the exported Real Estate CRM data and maps every object and field to its Odoo equivalent. This includes designing which res.partner records carry is_company=True, which crm.lead custom fields hold property data, and how each Real Estate CRM pipeline stage translates to an Odoo crm.stage record within the target sales team. The schema mapping plan is delivered as a field-level document for your Odoo admin to review and confirm before FlitStack creates any custom fields in the Odoo instance.

  3. Set up Odoo CRM schema and custom fields

    Before data migration begins, your Odoo admin (or FlitStack, with appropriate access) creates the required crm.lead custom fields, crm.teams, and crm.stage records in the target Odoo instance. This includes all Real Estate CRM property fields such as listing_price, property_type, bedrooms, bathrooms, square_footage, and listing_status. Odoo stage records are configured with the correct sequence, probability, and team assignment to match the original Real Estate CRM pipeline structure. API access on the Custom plan is verified at this stage.

  4. Run a sample migration with field-level diff

    FlitStack migrates a representative slice of 100–300 records spanning contacts, companies, properties, deals, and a sample of activity logs. The field-level diff report compares source field values against Odoo destination field values for every mapped record, so you can verify that property data landed correctly, stage assignments matched the original pipeline, and owner resolution found valid Odoo users. Sample results are reviewed before the full migration is committed.

  5. Execute full migration with delta-pickup at cutover

    The full migration runs in scheduled batches, respecting Odoo's API rate limits and write-depth constraints for crm.lead and res.partner records. During the cutover window, FlitStack maintains scoped read access to Real Estate CRM and captures any records modified or created during the migration run — typically a 24–48 hour delta-pickup. All operations are logged in the FlitStack audit trail, and one-click rollback is available if the initial reconciliation identifies record-level discrepancies.

  6. Reconcile, validate, and hand off rebuild references

    After migration, FlitStack delivers a reconciliation report counting total records migrated, records skipped due to validation errors, and duplicate-resolution actions taken. Custom field coverage is verified against the original Real Estate CRM field inventory. Automations, sequences, and workflow definitions are exported as JSON and CSV files so your Odoo admin has a rebuild reference for each one. A handover walkthrough covers the custom field setup, stage configuration, and any post-migration steps your team should complete before go-live.

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.
Odoo CRM logo

Odoo CRM

Destination

Strengths

  • Modular open-source architecture lets teams start with CRM and add ERP apps as needs grow, all sharing one PostgreSQL database.
  • Free Community edition with no contact limits and full source code access means zero licensing cost for evaluation and small deployments.
  • Drag-and-drop Kanban pipeline with AI lead scoring gives a visual, prioritized view of the sales funnel without requiring custom configuration.
  • Native integrations with email, live chat, SMS, VoIP, WhatsApp, and social media feed all inbound leads into a single unified inbox.
  • Active Odoo Community Association (OCA) maintains dozens of community-maintained modules on GitHub for extended functionality.

Weaknesses

  • Gmail and email integration reliability is a recurring complaint — threads drop and conversations scatter across inboxes, disrupting sales team workflows.
  • Enterprise edition pricing stacks quickly: multiple apps at per-user rates ($25–$50/user/month) plus Odoo.sh hosting costs more than many SMBs anticipate.
  • Setup and configuration complexity increases significantly once custom fields, automation rules, and multiple installed modules are in play.
  • Odoo.sh trial databases run on a version (e.g., 18.3) that is not directly migratable to Odoo.sh, blocking the assisted migration path Odoo advertises.
  • Version upgrades between major Odoo releases (e.g., 17→18) frequently break custom module view definitions and XPath expressions, requiring manual remediation.

Complexity grading

How hard is this migration?

Standard CRM migration. 2 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 Odoo CRM.

  • Object compatibility

    B

    2 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 Odoo 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 Odoo CRM data migrations

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

Can't find your answer?

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Most Real Estate CRM to Odoo migrations complete within 48–72 hours for setups with fewer than 25,000 total records and fewer than 20 custom property fields. Larger migrations with 100,000+ records or complex property schemas with multiple custom fields extend to 5–10 business days. The longest planning step is designing the Odoo custom field schema and configuring crm.stage records to match the original Real Estate CRM pipeline structure. FlitStack sequences the migration to respect Odoo's API rate limits and write-depth constraints, which adds clock time but protects data integrity.

Adjacent paths

Related migrations to explore

Ready when you are

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