CRM migration
Field-level mapping, validation, and rollback between Mautic and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.
Mautic
Source
Odoo CRM
Destination
Compatibility
13 of 18
objects map 1:1 between Mautic and Odoo CRM.
Complexity
BStandard
Timeline
4-8 weeks
Overview
Moving from Mautic to Odoo CRM is a migration from a contact-centric marketing automation platform to a modular ERP where the CRM is one component of a suite. Mautic organizes data around Contacts and Companies with marketing workflows, dynamic Segments, and point-based scoring. Odoo CRM requires a Lead-to-Opportunity pipeline model where Contacts attach to Accounts, and it has no native equivalent for campaign automation logic. We resolve the contact-to-Lead split using Mautic's lifecycle stage and point values, map Segments to Odoo's filter groups, and transfer engagement history (calls, emails, meetings, tasks, notes) through Odoo's XML-RPC API with batch chunking. We do not migrate Campaigns, Forms, Landing Pages, or marketing automation as code; we deliver a written inventory of these for the customer's admin to rebuild in Odoo Studio or via the Odoo Apps store.
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 Mautic 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.
Mautic
Contact
Odoo CRM
Lead
1:1Mautic Contacts migrate to Odoo CRM Lead. We use Mautic's lifecycle stage, point value, and lead status properties to determine the initial Odoo Lead stage. The email address serves as the primary key for deduplication. If the Mautic contact has an associated Company with a revenue or industry field, those values map to corresponding Lead fields. We preserve the original Mautic contact ID in a custom field mautic_id__c on the Lead for audit and reconciliation.
Mautic
Contact
Odoo CRM
Contact (secondary)
lossyMautic Contacts that represent existing customers (lifecycle stage = customer or evangelist) can optionally map to Odoo CRM Contact records attached to a Company rather than to Lead. The customer chooses during scoping based on whether they want to maintain a distinction between prospect Leads and active customer Contacts in Odoo. We create a custom field mautic_lifecycle_stage__c on both Lead and Contact to preserve the original classification.
Mautic
Company
Odoo CRM
Company
1:1Mautic Company records map directly to Odoo CRM Company. The company domain field maps to the Website field in Odoo, and domain-based deduplication is applied during import. Odoo Company supports address, industry classification, annual revenue, and number of employees fields that map from their Mautic equivalents. We create the Company record first in each batch so that the Contact import can satisfy any contact-to-company association by name or domain lookup.
Mautic
Deal
Odoo CRM
Opportunity
1:1Mautic Deals migrate to Odoo CRM Opportunity. The deal stage maps to an Odoo Stage within the configured pipeline. The associated contact and company resolve to the migrated Lead/Contact and Company records. Deal amount, expected close date, and probability migrate to Opportunity amount, date_closed, and probability fields. We configure the Odoo CRM pipeline stages before migration so that stage names and probabilities align with the customer's existing Mautic deal workflow.
Mautic
Deal Stage
Odoo CRM
Opportunity Stage
lossyMautic pipeline stages map to Odoo CRM Stage configurations within the Opportunity pipeline. Each Mautic pipeline becomes a separate Odoo team or sales channel with its own stage sequence. Stage probabilities migrate from Mautic to Odoo with rounding to Odoo's percentage format. Stage color coding and sequence order transfer to Odoo's Kanban view configuration.
Mautic
Segment
Odoo CRM
Filter Group
lossyMautic Segments (dynamic contact lists filtered by field values, tags, or behavioral criteria) are not replicated as static lists in Odoo. We export the segment filter definition and recreate it in Odoo as saved filter groups on the Lead and Contact list views. The segment membership itself is recalculated at the destination based on the same criteria. We deliver a filter specification document listing each segment's conditions, operators, and field references for manual Odoo filter recreation.
Mautic
Campaign
Odoo CRM
CRM Team + Activity Plan (documentation)
1:1Mautic Campaigns are marketing automation workflows with triggers, conditions, actions, and delays. Odoo CRM has no native campaign automation equivalent. We export campaign definitions, step sequences, and contact membership counts. The customer receives a written campaign specification document describing each campaign's trigger logic, step actions, timing, and associated assets. Odoo CRM sales teams are expected to replicate campaign logic manually or via Odoo Studio automations post-migration.
Mautic
Form
Odoo CRM
Form Builder configuration (documentation)
1:1Mautic Forms collect contact data and trigger campaign actions on submission. We export form field configurations, field types, validation rules, and submission mappings. Odoo Website and Contact modules have a form builder but no native campaign-triggered follow-up logic. We deliver a form field mapping document and recommend rebuilding forms in Odoo Website or a compatible form app. Webhook-based post-submission actions do not migrate and must be reconstructed in Odoo Studio or via a third-party automation app.
Mautic
Stage
Odoo CRM
Lead/Contact Stage
1:1Mautic Stages define contact lifecycle positions (Lead, MQL, SQL, Customer). We map stage names directly to Odoo CRM Lead stages and, where applicable, to Contact tags. If the customer uses Mautic stages as a lead scoring mechanism, we combine stage information with point values to assign initial Odoo Lead status and create a custom field for the original stage name.
Mautic
Points
Odoo CRM
Lead Score custom field or Tag
lossyMautic's point system scores contacts based on actions. Point values migrate as a custom integer field mautic_points__c on Lead and Contact. If the customer uses point thresholds for routing or prioritization, we recommend converting those thresholds into Odoo Lead stage assignments or automated stage-update actions built in Odoo Studio. Point-based scoring logic does not have a native Odoo equivalent and requires manual reconstruction.
Mautic
Tag
Odoo CRM
Tag
1:1Mautic Tags are flat string labels applied to contacts and other objects. All tags export and reapply during migration as Odoo CRM tags on the corresponding Lead or Contact record. Tag-based segmentation is preserved through the segment-to-filter translation described above. Tag counts per contact are maintained as the number of applied tags in Odoo.
Mautic
Category
Odoo CRM
Tag or Team
lossyMautic Categories group assets, campaigns, emails, and contacts into hierarchical folders. We export the category hierarchy and reassign related objects to Odoo tags or CRM teams depending on whether the category represents a functional grouping (marketing vs sales) or a content classification. The customer chooses the category-to-tag or category-to-team mapping during scoping.
Mautic
Asset
Odoo CRM
Document
1:1Mautic Assets are downloadable files (PDFs, guides, media) with metadata. We export asset metadata (name, URL path, MIME type, download count) and replicate the file storage structure in Odoo Documents or as attachments on the related Lead, Contact, or Company record. Large binary files migrate via the Odoo XML-RPC file upload API. Asset download counts and related campaign associations are preserved in custom fields or notes.
Mautic
Custom Object
Odoo CRM
Custom Record Type (Studio)
1:1Mautic Custom Objects extend the data model beyond standard contacts and companies. We export custom object definitions and data, then recreate equivalent record types in Odoo using Odoo Studio, including all custom fields, field types, and lookup relationships to standard objects (Lead, Contact, Company, Opportunity). Relationship data between custom objects in Mautic is accessed via the junction tables in MySQL/MariaDB because the Mautic Relationships API is non-functional, and the relationship records are mapped to Odoo's many2many or one2many fields through the XML-RPC API.
Mautic
Engagement: Email
Odoo CRM
Message
1:1Mautic email engagements (sent, opened, clicked, bounced) migrate to Odoo CRM Message records attached to the target Lead or Contact. The WhoId links the message to the Lead; Subject, Body, and Date transfer to corresponding Message fields. We preserve the engagement type (sent, opened, clicked) as a custom field because Odoo Message does not natively track open and click events. Activity timeline ordering is preserved by setting Message Date to the original Mautic timestamp.
Mautic
Engagement: Call
Odoo CRM
Phone Call Log
1:1Mautic call engagements map to Odoo CRM call logs attached to the target Lead or Contact. Call duration, disposition, and recording URL (if stored in Mautic) transfer to custom fields on the activity record. The WhoId on the activity points to the migrated Lead. Call timestamp migrates as the activity date, preserving the chronological activity timeline.
Mautic
Engagement: Meeting
Odoo CRM
Calendar Event
1:1Mautic meeting engagements map to Odoo Calendar Event records. Start time, end time, location, and attendee information transfer to the corresponding Event fields. Attendee mapping links to EventPartner records pointing to the migrated Lead or Contact. Meeting subject and body migrate as the event description.
Mautic
Engagement: Note / Task
Odoo CRM
Note / Task
1:1Mautic Notes migrate to Odoo CRM Notes attached to the relevant Lead, Contact, Company, or Opportunity. Note body transfers as plain text. Mautic Task engagements (internal tasks with owners and due dates) migrate to Odoo CRM Tasks linked to the owner by email resolution. Task status and priority migrate to the corresponding Odoo fields.
| Mautic | Odoo CRM | Compatibility | |
|---|---|---|---|
| Contact | Lead1:1 | Fully supported | |
| Contact | Contact (secondary)lossy | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Deal Stage | Opportunity Stagelossy | Fully supported | |
| Segment | Filter Grouplossy | Fully supported | |
| Campaign | CRM Team + Activity Plan (documentation)1:1 | Fully supported | |
| Form | Form Builder configuration (documentation)1:1 | Fully supported | |
| Stage | Lead/Contact Stage1:1 | Fully supported | |
| Points | Lead Score custom field or Taglossy | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Category | Tag or Teamlossy | Fully supported | |
| Asset | Document1:1 | Fully supported | |
| Custom Object | Custom Record Type (Studio)1:1 | Fully supported | |
| Engagement: Email | Message1:1 | Fully supported | |
| Engagement: Call | Phone Call Log1:1 | Fully supported | |
| Engagement: Meeting | Calendar Event1:1 | Fully supported | |
| Engagement: Note / Task | Note / Task1:1 | 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.
Mautic gotchas
Mautic v6 CSV export silently fails to deliver files
Mautic 4 to 5 upgrade breaks plugins without warning
MySQL/MariaDB index limits throttle large contact databases
Custom Object Relationships API is non-functional
Mautic 5 to 6 migration logs no errors on failure
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
Discovery and source audit
We audit the source Mautic instance across version (4, 5, or 6), hosting model (self-hosted or Acquia Cloud), database engine (MySQL or MariaDB), and all active object types. We profile the contact schema including standard fields, custom contact fields, and any custom object definitions. We document all active segments with their filter definitions, active campaigns with their step logic, engagement history volume by type (email, call, meeting, note, task), and any custom field type mismatches. We pair this with an Odoo edition review: Odoo Community (free, self-hosted) covers most migrations; Odoo Online ($24/app/user/month) covers cloud-hosted destinations. The discovery output is a written migration scope and Odoo edition recommendation.
Contact-to-Lead split design and schema configuration
We define the split rule mapping Mautic lifecycle stages and point values to Odoo Lead stages, Contact records, or a hybrid model based on the customer's sales process. We configure the Odoo CRM pipeline stages, team assignments, tag taxonomy, and any custom Lead or Contact fields before migration begins. If custom objects exist, we create the equivalent record types in Odoo Studio including all fields and relationship definitions. Schema configuration is validated in an Odoo staging database before production migration.
Direct database extraction bypassing Mautic v6 CSV export
We extract all object data directly from the Mautic MySQL/MariaDB database rather than relying on the built-in CSV export. We connect with read-only authenticated access, extract contacts, companies, deals, segments, custom objects, and junction table relationship records in batched queries, and validate record counts against API-based counts. For Mautic v6, this is the only reliable extraction path. We generate a data quality report identifying duplicate emails, orphaned companies, blank required fields, and records with no associated owner before transformation begins.
Transformation and split application
We apply the contact-to-Lead split as a transform step using the scoping-defined lifecycle stage and point threshold rules. Company records are normalized for domain-based deduplication. Segment filter definitions are translated into Odoo saved filter specifications. Engagement history records are transformed to Odoo Message, Calendar Event, and Task format with the original timestamps preserved for chronological ordering. We produce a transformation report showing record counts per object before and after the split, and flag any records that cannot be assigned a split outcome for customer review.
Sandbox migration and owner reconciliation
We run a full migration into an Odoo staging database using production-like data volumes. The customer reconciles record counts (Leads in, Contacts in, Companies in, Opportunities in, Activities in), spot-checks 25-50 random records against the Mautic source, and validates that the contact-to-Lead split produced the expected distribution. We also reconcile Mautic owners by email against Odoo Users, flagging any owner without a matching Odoo User for the customer's admin to provision before production migration. Any mapping corrections happen at this stage.
Production migration in dependency order
We run production migration in record dependency order: Companies first, then Leads and Contacts with CompanyId resolved, followed by Opportunities with Lead/Contact and Company lookups resolved, then engagement history via Odoo XML-RPC batch methods. Custom objects import last because they often have lookups to standard objects. We use session rotation to handle XML-RPC rate limits and chunk activity records into batches of 100-500 per request depending on record size. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and campaign handoff
We freeze writes to Mautic during the cutover window, run a final delta migration of any records modified during migration, then switch the customer's CRM system of record to Odoo. We deliver the campaign specification document, segment filter definitions, and lead scoring threshold recommendations to the customer's admin team. We support a one-week hypercare window for reconciliation issues raised by the sales team. We do not rebuild Mautic campaigns as Odoo Studio automations inside the migration scope; that work is documented for the customer's admin or an Odoo implementation partner.
Platform deep dives
Mautic
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 Mautic 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
Mautic: Not publicly documented — enforced at the server level, not within Mautic software.
Data volume sensitivity
Mautic 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
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