CRM migration
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
Source
Odoo CRM
Destination
Compatibility
16 of 16
objects map 1:1 between Real Estate CRM and Odoo CRM.
Complexity
BStandard
Timeline
48–72 hours
Overview
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.
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 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
Odoo CRM
res.partner
1:1Real 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
Odoo CRM
res.partner
1:1Real 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
Odoo CRM
crm.lead (custom fields)
1:1Real 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
Odoo CRM
crm.lead
1:1Real 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
Odoo CRM
crm.stage + crm.team
1:1Real 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
Odoo CRM
crm.stage
1:1Stage 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)
Odoo CRM
crm.lead (type=lead)
1:1Inbound 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
Odoo CRM
mail.message / crm.lead.plan.metric
1:1Real 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
Odoo CRM
ir.attachment
1:1Property 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
Odoo CRM
crm.lead custom field
1:1If 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
Odoo CRM
res.users
1:1Real 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
Odoo CRM
crm.tag
1:1Real 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
Odoo CRM
crm.lead custom field (selection)
1:1Real 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
Odoo CRM
crm.tracking.source
1:1Real 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
Odoo CRM
crm.lead custom datetime fields
1:1Real 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
Odoo CRM
crm.lead custom field (char)
1:1The 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.
| Real Estate CRM | Odoo CRM | Compatibility | |
|---|---|---|---|
| Contact | res.partner1:1 | Fully supported | |
| Company | res.partner1:1 | Fully supported | |
| Property | crm.lead (custom fields)1:1 | Fully supported | |
| Deal | crm.lead1:1 | Fully supported | |
| Pipeline | crm.stage + crm.team1:1 | Fully supported | |
| Pipeline Stage | crm.stage1:1 | Fully supported | |
| Lead (inbound) | crm.lead (type=lead)1:1 | Fully supported | |
| Activity: Call / Meeting / Note | mail.message / crm.lead.plan.metric1:1 | Fully supported | |
| Attachment / File | ir.attachment1:1 | Fully supported | |
| Custom Object: Property Type | crm.lead custom field1:1 | Fully supported | |
| Owner / Agent | res.users1:1 | Fully supported | |
| Tag / Label | crm.tag1:1 | Fully supported | |
| Listing Status | crm.lead custom field (selection)1:1 | Fully supported | |
| Source / Lead Origin | crm.tracking.source1:1 | Fully supported | |
| Historical Stage Timestamps | crm.lead custom datetime fields1:1 | Fully supported | |
| Real Estate CRM System ID | crm.lead custom field (char)1:1 | 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.
Real Estate CRM gotchas
Contact type categorization schema varies across real estate CRMs
Closing date attachment logic is platform-dependent
Multi-source contact deduplication is required before migration
Document attachments are not always accessible via CRM API
Agent owner assignment fails for inactive or deleted users
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
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.
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.
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.
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.
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.
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
Real Estate CRM
Source
Strengths
Weaknesses
Odoo CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 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 Real Estate CRM and Odoo CRM.
Object compatibility
2 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
Real Estate CRM: Not publicly documented.
Data volume sensitivity
Real Estate CRM 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 Real Estate CRM to Odoo CRM migration scoping. Not seeing yours? Book a call.
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