CRM migration
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
Source
Odoo CRM
Destination
Compatibility
9 of 10
objects map 1:1 between CRM for real estate and Odoo CRM.
Complexity
BStandard
Timeline
48–72 hours
Overview
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.
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 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
Odoo CRM
res.partner
1:1CRM 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
Odoo CRM
res.partner
1:1CRM 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
Odoo CRM
crm.lead custom fields
1:manyCRM 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
Odoo CRM
crm.lead
1:1CRM 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
Odoo CRM
crm.lead stage_id
1:1CRM 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
Odoo CRM
res.partner / crm.lead custom fields
1:1CRM 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)
Odoo CRM
mail.message / calendar.event
1:1CRM 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
Odoo CRM
ir.attachment
1:1CRM 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)
Odoo CRM
crm.lead custom fields
1:1CRM 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
Odoo CRM
res.users
1:1CRM 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.
| CRM for real estate | Odoo CRM | Compatibility | |
|---|---|---|---|
| Contact | res.partner1:1 | Fully supported | |
| Company | res.partner1:1 | Fully supported | |
| Property | crm.lead custom fields1:many | Fully supported | |
| Deal / Transaction | crm.lead1:1 | Fully supported | |
| Pipeline Stage | crm.lead stage_id1:1 | Fully supported | |
| Listing Agent / Buyer Agent | res.partner / crm.lead custom fields1:1 | Fully supported | |
| Activity (Call, Email, Meeting, Note) | mail.message / calendar.event1:1 | Fully supported | |
| Attachment / File | ir.attachment1:1 | Fully supported | |
| Custom Field (property-level) | crm.lead custom fields1:1 | Fully supported | |
| User / Owner | res.users1:1 | 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.
CRM for real estate gotchas
Large contact databases cause performance degradation
Duplicate contact records require manual resolution
Document attachment paths change across platform versions
Odoo CRM gotchas
Odoo.sh version gating blocks assisted migrations from trial
Enterprise modules fail to install on Community after database restore
Custom module view inheritance breaks between Odoo major versions
Custom fields risk losing their application context on Community
API access for Community is gated behind the Custom Plan
Pair-specific challenges
Migration approach
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.
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.
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.
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.
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
CRM for real estate
Source
Strengths
Weaknesses
Odoo CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 CRM for real estate and Odoo CRM.
Object compatibility
1 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
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
CRM for real estate 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
Pick a category, then your source and destination platforms.
Category
FAQ
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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