CRM migration

Migrate from CRM for real estate to Odoo CRM

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

CRM for real estate logo

CRM for real estate

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

90%

9 of 10

objects map 1:1 between CRM for real estate and Odoo CRM.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

CRM for Real Estate organizes data around property-centric objects: Contacts linked to Companies, Deals tracking transactional stages (Listed, Under Contract, Closed), and custom fields for property address, listing price, bedroom count, and agent assignment. Odoo CRM has no native property object — its crm.lead model handles both inbound leads and opportunities, with pipeline stages defined per sales team via stage_id. We map CRM for Real Estate Contacts to res.partner records, Companies to res.partner records with parent-child hierarchy, and Deals to crm.lead with property details stored as custom Char and Float fields on the lead. Agent and broker assignments become custom fields on res.partner or crm.lead since Odoo has no native agent object. Property-specific stages require manual stage recreation in Odoo CRM settings before migration validation runs. Workflows, email templates, and listing-form templates are not included in the data migration — FlitStack exports their definitions as reference JSON for Odoo automation rebuild. The migration uses API extraction from CRM for Real Estate and XML-RPC or CSV import into Odoo, with FlitStack sequencing the import order so foreign-key relationships (partner_id on lead, parent_id on child partner) resolve correctly before child records land.

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

CRM for real estate logo

CRM for real estate

What's pushing teams away

  • Performance degrades noticeably when contact databases grow beyond 5,000 to 10,000 records, with slow search results and delayed page loads reported across multiple user reviews.
  • The email marketing editor lacks the design flexibility of standalone email platforms, and some users report deliverability issues with bulk campaigns.
  • Limited advanced automation rules compared to newer platforms; power users find the workflow builder too restrictive for complex real estate follow-up sequences.
  • Customer support response times are inconsistent, with longer wait times reported during peak seasons when agents most need assistance.
  • The platform's reporting and analytics dashboard provides basic metrics but lacks the depth needed by brokerages requiring commission tracking, team performance dashboards, or ROI analysis.

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 CRM for real estate objects map to Odoo CRM

Each row shows how a CRM for real estate 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.

CRM for real estate

Contact

maps to

Odoo CRM

res.partner

1:1
Fully supported

CRM for Real Estate contacts map to Odoo res.partner records. Since Odoo uses res.partner as a unified model for both individuals and organizations, a contact record with a company association sets parent_id to the corresponding company partner record. Contacts without a company land as individual partner records. Email serves as the unique external ID for de-duplication.

CRM for real estate

Company

maps to

Odoo CRM

res.partner

1:1
Fully supported

CRM for Real Estate companies map to res.partner records with is_company=True. Odoo's parent_id field handles multi-office hierarchies (parent company / branch office) that CRM for Real Estate may store as separate company records. Child company records reference the parent via parent_id. Industry, annual revenue, and employee count become custom fields on the company partner record.

CRM for real estate

Property

maps to

Odoo CRM

crm.lead custom fields

1:many
Fully supported

CRM for Real Estate property records — which contain address, listing price, MLS number, property type, bedrooms, bathrooms, and status — have no native equivalent in Odoo CRM. FlitStack splits the property record into multiple custom Char, Float, and Selection fields on crm.lead (x_property_address__c, x_listing_price__c, x_mls_number__c, x_property_type__c, x_bedrooms__c, x_bathrooms__c, x_listing_status__c). Each deal in CRM for Real Estate links to one property; that property becomes a group of custom fields on the migrated crm.lead.

CRM for real estate

Deal / Transaction

maps to

Odoo CRM

crm.lead

1:1
Fully supported

CRM for Real Estate deals (transactions) map to Odoo crm.lead records. The crm.lead type field is set to 'opportunity' for active transactions. Deal amount becomes x_transaction_value__c as a custom Float field. The property address from the linked CRM for Real Estate Property object becomes x_property_address__c on the lead. stage_id maps from the CRM for Real Estate pipeline stage to the Odoo stage_name pick-list.

CRM for real estate

Pipeline Stage

maps to

Odoo CRM

crm.lead stage_id

1:1
Fully supported

CRM for Real Estate transaction stages (New, Showing Scheduled, Offer Made, Under Contract, Inspection, Closing, Closed Won, Closed Lost) map to Odoo CRM stage records via a value-mapping table. Each stage gets a stage_id GUID from Odoo after your admin creates the stages in Settings > CRM > Stages. Probability and team assignment are preserved per stage. Custom real-estate stages that do not match Odoo's default set require pre-migration stage creation in Odoo.

CRM for real estate

Listing Agent / Buyer Agent

maps to

Odoo CRM

res.partner / crm.lead custom fields

1:1
Fully supported

CRM for Real Estate stores listing agent, buyer agent, and showing agent as separate fields on each deal. Odoo has no native agent object. FlitStack maps agent email to res.partner records and stores agent references as x_listing_agent_id__c (Many2one to res.partner), x_buyer_agent_id__c, and x_showing_agent_id__c custom fields on crm.lead. Agents not found in Odoo by email are flagged before migration for admin creation.

CRM for real estate

Activity (Call, Email, Meeting, Note)

maps to

Odoo CRM

mail.message / calendar.event

1:1
Fully supported

CRM for Real Estate logged calls, emails, meetings, and notes become Odoo mail.message records attached to the corresponding res.partner or crm.lead via model and res_id. Meeting records with start/end times become calendar.event records linked to the lead or partner. Original timestamps, owners (by email match to res.users), and body content are preserved. Call disposition notes migrate as message body text.

CRM for real estate

Attachment / File

maps to

Odoo CRM

ir.attachment

1:1
Fully supported

CRM for Real Estate file attachments on contacts, companies, or deals re-upload to Odoo as ir.attachment records linked to the migrated res.partner or crm.lead via res_model and res_id. Binary file content is stored in Odoo's filestore. File size limits (default 25MB per file in Odoo) are enforced; oversized files are flagged before migration. Inline images in notes are downloaded and rehosted in Odoo's attachment storage.

CRM for real estate

Custom Field (property-level)

maps to

Odoo CRM

crm.lead custom fields

1:1
Fully supported

CRM for Real Estate custom fields added to Property or Deal objects — such as HOA fees, lot size, year built, or showing instructions — become custom fields on crm.lead with type-appropriate Odoo field definitions (Float for monetary values, Char for text, Date for dates). The migration plan lists every custom field before import so your Odoo admin can pre-create them in Settings > Technical > Custom Fields.

CRM for real estate

User / Owner

maps to

Odoo CRM

res.users

1:1
Fully supported

CRM for Real Estate deal owners and contact owners are resolved by email match against Odoo res.users records. Unmatched owners are flagged before migration runs — your Odoo admin either creates the user in Odoo first or assigns records to a fallback user. No record lands in Odoo without a valid user_id on the crm.lead or res.partner owner field.

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.

CRM for real estate logo

CRM for real estate gotchas

High

Large contact databases cause performance degradation

Medium

Duplicate contact records require manual resolution

Medium

Document attachment paths change across platform versions

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

  • Property records require splitting across multiple custom fields on crm.lead

    CRM for Real Estate treats Property as a first-class object with its own schema — address, listing price, MLS number, bedrooms, bathrooms, property type, HOA fees, year built, and showing instructions all live on one record. Odoo CRM has no native property object. FlitStack splits each CRM for Real Estate property into 8–15 custom fields on the associated crm.lead record (x_property_address__c, x_listing_price__c, x_mls_number__c, x_bedrooms__c, x_bathrooms__c, x_property_type__c, and others based on your schema). This requires pre-creating each custom field in Odoo Settings > Technical > Custom Fields before migration validation runs, and the Odoo record view shows a longer custom-field block than a standard lead.

  • Real estate pipeline stages must be manually pre-created in Odoo CRM before field mapping

    CRM for Real Estate stages like 'Showing Scheduled', 'Offer Made', 'Under Contract', 'Inspection Contingency', and 'Closing' are free-form pick-list values that exist in the source system without any structural constraints. Odoo CRM's stage_id field references stage records that live in the crm.stage model and are scoped per crm.team. Custom real-estate stages must be created in Odoo via Settings > CRM > Pipeline Stages before FlitStack can write the value-mapping table. If a stage exists in CRM for Real Estate but has no corresponding Odoo stage record, the migration flags it as unmapped and routes those records to a default stage — your admin must create the missing stage and re-run validation before the full cutover.

  • CRM for Real Estate N:N contact-company associations collapse to single parent_id

    CRM for Real Estate supports a contact being associated with multiple companies simultaneously — a buyer's agent at Firm A who also lists properties under Firm B, for example. Odoo res.partner uses a strict parent_id model where a contact record has exactly one parent company (or none). CRM for Real Estate N:N associations are resolved by FlitStack using the most recently modified company as the primary parent (configurable by your rule), and secondary company associations are preserved in a custom Char field (x_additional_company_ids__c) as a comma-separated list of company names for reference. Odoo's Account Contact Relations module can be used post-migration to rebuild full N:N associations if needed.

  • Agent and broker assignments require Odoo custom fields — no native agent object

    CRM for Real Estate tracks listing agents, buyer agents, and showing coordinators as native fields on each deal. Odoo CRM has no agent object and no native Many2one field for agent roles on crm.lead. FlitStack migrates agent data as x_listing_agent_id__c, x_buyer_agent_id__c, and x_showing_agent_id__c custom fields (Many2one to res.partner), plus a text field x_agent_notes__c for additional context. If your brokerage uses agent commission splits stored in CRM for Real Estate, those values also migrate as custom Float fields (x_commission_split__c) on the lead. Post-migration, your Odoo admin can use Odoo Studio to expose these fields on the lead form view.

  • CMA forms, listing agreements, and offer templates do not migrate

    CRM for Real Estate document templates — Comparative Market Analysis forms, listing agreements, buyer representation agreements, and offer forms — are rendered as static or semi-dynamic documents tied to CRM for Real Estate's template engine. Odoo has its own document template system using QWeb templates and the Documents app. These templates cannot be exported as usable Odoo templates because the field references, merge logic, and branding assets are platform-specific. FlitStack preserves the template names and the field labels they reference as a template inventory CSV so your Odoo admin can rebuild each form in Odoo's template editor or the Documents app.

Migration approach

Six steps for a successful CRM for real estate to Odoo CRM data migration

  1. Extract all CRM for Real Estate records via API and document the property schema

    FlitStack connects to CRM for Real Estate using API credentials with read access. We extract all Contact, Company, Property, Deal, Activity, and Attachment records in a single pass. We simultaneously capture the property object schema — every custom field name, data type, and pick-list value — so the migration plan can enumerate the Odoo custom fields that need to exist before any crm.lead data is imported. The extract includes external IDs, create dates, last-modified dates, owner IDs, and association links. This data becomes the migration staging dataset.

  2. Create Odoo custom fields and pre-populate stage records

    FlitStack generates a setup plan listing every custom field required on crm.lead (for property data, transaction values, and agent assignments) and res.partner (for company-level real estate data). Your Odoo admin creates these fields via Settings > Technical > Custom Fields — or FlitStack creates them via XML-RPC for Enterprise instances. Separately, your admin creates the real estate pipeline stages in Settings > CRM > Pipeline Stages, matching the CRM for Real Estate stage names to Odoo stage records. FlitStack validates that all required stages exist before the import step begins.

  3. Import in dependency order: companies first, then contacts, then leads

    Odoo requires res.partner records to exist before crm.lead records can reference them via partner_id. FlitStack sequences the import: (1) Companies → res.partner with is_company=True and parent_id resolved; (2) Contacts → res.partner with parent_id set to the primary company; (3) Leads/Opportunities → crm.lead records with property fields populated from CRM for Real Estate Property objects, stage_id mapped via the value-mapping table, and agent custom fields resolved to res.partner records by email. Activities and attachments follow their parent records. Each batch is validated against Odoo's access rights and field constraints before the next batch begins.

  4. Run a sample migration on 200–500 records with field-level diff

    A representative slice — contacts from multiple companies, deals at every pipeline stage, and a mix of property types — is migrated first. FlitStack generates a field-level diff comparing the source CRM for Real Estate record against the resulting Odoo crm.lead or res.partner. You verify that property addresses appear in x_property_address__c, that stage names map to the correct Odoo stage_id, that agent emails resolve to res.partner records, and that timestamps on crm.lead match the original CRM for Real Estate create dates. Any mapping errors are corrected in the migration plan before the full run is scheduled.

  5. Full migration with delta-pickup window and audit log

    The full dataset migrates in staged batches. FlitStack maintains an audit log of every record created, every custom field populated, and every de-duplication decision. A delta-pickup window (24–48 hours) captures any CRM for Real Estate records created or modified during the cutover window. Owner resolution mismatches, unmapped stage values, and oversized attachments are reported in a pre-go-live reconciliation summary. One-click rollback reverts all migrated records if reconciliation fails. After go-live, the CRM for Real Estate account is placed in read-only mode to prevent new data entry during the final delta sync.

Platform deep dives

Context on both ends of the pair

CRM for real estate logo

CRM for real estate

Source

Strengths

  • Integrated IDX website and CRM in a single platform eliminates the need for a separate website provider.
  • Automated lead follow-up sequences with text and email drip campaigns reduce manual agent outreach.
  • Transaction tracking ties leads through listings to closing with associated contacts and documents.
  • Mobile-friendly interface allows agents to manage contacts and tasks while on the go.
  • Predictable monthly pricing suitable for individual agents and teams of 1–10.

Weaknesses

  • Performance slows significantly with large contact databases of 5,000+ records.
  • Email editor and campaign deliverability lag behind dedicated email marketing platforms.
  • Workflow automation rules are limited compared to newer CRM alternatives.
  • Reporting and analytics lack depth for brokerage-level business intelligence needs.
  • Limited third-party integrations compared to platforms with open APIs.
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. 1 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 CRM for real estate and Odoo CRM.

  • Object compatibility

    B

    1 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

    CRM for real estate: Not publicly documented on the developers.realgeeks.com portal. Typical SaaS thresholds apply and we confirm with Real Geeks support during scoping when high-volume extracts are planned..

  • Data volume sensitivity

    B

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

Estimator

Estimate your CRM for real estate 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 CRM for real estate to Odoo CRM data migrations

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

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Most CRM for Real Estate to Odoo CRM migrations complete in 48–72 hours of clock time for under 50,000 total records. The longest planning step is pre-creating Odoo custom fields on crm.lead and res.partner — specifically the property fields (x_property_address__c, x_listing_price__c, x_bedrooms__c, x_bathrooms__c, and agent-role fields) and any real-estate-specific pipeline stages your team uses. Setups with 500,000+ records or complex N:N contact-company associations extend to 5–7 days. FlitStack sequences the import in dependency order so no foreign-key constraint violations occur during the run.

Adjacent paths

Related migrations to explore

Ready when you are

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