CRM migration
Field-level mapping, validation, and rollback between Optimove and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.
Optimove
Source
Odoo CRM
Destination
Compatibility
9 of 12
objects map 1:1 between Optimove and Odoo CRM.
Complexity
BStandard
Timeline
4-6 weeks
Overview
Moving from Optimove to Odoo CRM is a migration from a dedicated relationship marketing CRM with a Customer Data Platform core to an integrated ERP-CRM suite where the CRM module is one component of a larger business management system. Optimove structures its data around Customers, Lifecycle Stages, and predictive values generated from aggregated behavioral data; Odoo CRM uses Leads, Contacts, Partners, and Opportunities. We resolve the Customer-to-Contact and Customer-to-Partner mapping during scoping, preserve Lifecycle Stage assignments as extra attributes on Odoo contacts, and migrate historical campaign engagement data as Odoo log notes or activity records. Optimove's proprietary predictive scores and OptiGenie AI recommendations cannot transfer to Odoo because they are calculated within Optimove's modeling engine and have no standard equivalent. Campaign journey orchestration rules, automation logic, and multi-brand database schemas require separate mapping workstreams and manual rebuild in Odoo's studio. We deliver a written inventory of every active campaign, journey, and automation for the customer's admin to reference when configuring Odoo's marketing and automation modules post-migration.
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 Optimove 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.
Optimove
Customer
Odoo CRM
Contact / Partner
1:1Optimove Customer records map to Odoo Partner records, which serve as both Contact and Company depending on the is_company flag. We map Customer name to Partner name, email to partner email fields, phone to partner phone, and address fields to Odoo's address fields. The CustomerID becomes an external identifier on the Partner record for reference reconciliation. For B2B customers with company hierarchies, we evaluate whether the Customer represents an organisation (is_company=True) or an individual contact at an organisation (is_company=False) based on available Optimove attributes.
Optimove
Customer Attributes
Odoo CRM
Partner Extra Attributes
lossyOptimove custom attributes (up to 50 total across all input methods) map to Odoo Contact extra fields. We audit current Optimove attribute counts during discovery and flag any that exceed Odoo's practical attribute capacity per contact. Standard attributes (first name, last name, email, phone, address) map to Odoo standard fields; remaining custom attributes map to ir.model.fields custom fields on res.partner. Attributes added via Optimove's real-time API can only be updated via UpdateCustomerAttributes in Optimove, so we capture the current snapshot via Data Share SQL views before migration.
Optimove
Lifecycle Stages
Odoo CRM
Contact Tags / Stage Extra Field
lossyOptimove Lifecycle Stages (subscriber, lead, MQL, SQL, customer, evangelist, etc.) have no native Odoo equivalent. We preserve stage assignments as Odoo contact tags (res.partner.category) with a naming convention that maps to the original Optimove stage name (e.g., tag: Optimove_Lifecycle_Customer). For reporting continuity, we also create a custom selection field lifecycle_stage__c on res.partner that stores the original stage value as a string. Historical stage transition data from Migration Explorer exports becomes a set of CRM log notes on each Contact.
Optimove
Target Groups
Odoo CRM
CRM Tags / Smart Groups
1:1Optimove Target Groups are dynamic customer segments built from attribute rules. We export the customer membership lists and recreate them as Odoo CRM tags or Odoo saved filter groups (Smart Groups). Complex nested rules with multiple AND/OR conditions are documented in the automation inventory for manual rebuild in Odoo's domain filter system. For segments with fewer than 5,000 members, we can pre-populate tag membership by processing the exported membership list against the migrated Contact IDs.
Optimove
Predictive Values
Odoo CRM
Custom Float Fields (read-only reference)
1:1Optimove's proprietary predictive scores and OptiGenie AI next-best-action recommendations are generated within Optimove's modeling engine and have no standard equivalent in Odoo. We export raw numerical scores from Optimove Data Share where accessible and store them as read-only custom float fields on the Contact record (e.g., predictive_churn_score__c, predictive_clv__c). These values serve as historical baselines for the customer to reference when rebuilding predictive models in Odoo using third-party BI tools or custom Python logic. The underlying model logic, confidence intervals, and OptiGenie recommendations cannot migrate.
Optimove
Campaign
Odoo CRM
CRM Campaign
1:1Optimove campaign metadata including name, type, channels, and scheduling migrates to Odoo CRM Campaign records. The campaign name, start date, and target audience size transfer directly. Campaign channels (email, SMS, push, web, WhatsApp) are stored as tags or custom fields on the Odoo Campaign. Campaign journey orchestration logic and automation rules cannot export from Optimove and must be manually recreated in Odoo; we deliver a written campaign inventory document listing every active campaign with its configuration for the customer's admin to reference.
Optimove
Campaign Engagement Metrics
Odoo CRM
CRM Campaign Member Stats / Log Notes
1:1Historical campaign performance data including sends, opens, clicks, conversions, and control group metrics from Optimove Data Share migrates to Odoo CRM Campaign Member records linked to the relevant Contact. Engagement metrics are linked to CustomerIDs for downstream attribution. We store aggregated campaign performance data as CRM log notes on the Campaign record and detailed per-contact engagement as CRM Campaign Member status history. Control group membership assignments transfer as tags on the relevant Contact records.
Optimove
Control Groups
Odoo CRM
Contact Tags
1:1Optimove Control Group membership transfers as a dedicated tag on the relevant Contact records (e.g., tag: Campaign_Control_Group_[CampaignName]). This preserves the control group assignment for accurate post-migration campaign ROI calculation. We map control group percentages and test group sizes from Optimove's Data Share exports into a Campaign log note documenting the original test configuration.
Optimove
Multi-Brand / Multi-Network Databases
Odoo CRM
Odoo Companies / Databases
1:manyOptimove's multi-brand architecture structures customer data by customer network and brand, each potentially having independent database schemas and attribute definitions. We identify all separate networks during discovery, map each to an appropriate Odoo Company (within a single database) or a separate Odoo database instance. Schema differences between networks within the same Optimove tenant require separate mapping workstreams. Each Odoo Company gets its own partner records, warehouse, and reporting context, and contacts are scoped to their parent company using the company_id field on res.partner.
Optimove
User / Team Members
Odoo CRM
Odoo Users
1:1Optimove user accounts and roles listed via the platform admin interface map to Odoo Users. Role permissions and access levels require manual recreation in Odoo because Optimove's permission model is proprietary and not exportable. We extract user name, email, and role names from Optimove's admin export and map active users to Odoo User records with matching login email. The customer's Odoo admin rebuilds access rights using Odoo's internal user groups and access rights menus.
Optimove
Attachments / Media Assets
Odoo CRM
Not Migrated
1:1Optimove is a data and orchestration platform, not a content management system. Media assets used in campaigns (images, HTML email templates, creative files) are stored in connected ESPs or content tools, not in Optimove itself. We do not migrate media assets. The customer identifies which external content systems (e.g., Mailchimp, SendGrid, custom ESP) hold the campaign creative and reconnects those systems to Odoo's email marketing module post-migration.
Optimove
Custom Objects
Odoo CRM
Not Migrated
1:1Optimove does not expose a documented Custom Objects API equivalent to standard CRM objects. Only Customer-level custom attributes are supported via the API, not independent object types. We cannot migrate Optimove custom object data because no export endpoint exists for those records. If the customer has custom objects that contain essential business data, we document the object schemas and field definitions during discovery so the customer can recreate them as custom Odoo models (ir.model and ir.model.fields) or as Odoo Studio custom fields on res.partner in a separate development engagement.
| Optimove | Odoo CRM | Compatibility | |
|---|---|---|---|
| Customer | Contact / Partner1:1 | Fully supported | |
| Customer Attributes | Partner Extra Attributeslossy | Mapping required | |
| Lifecycle Stages | Contact Tags / Stage Extra Fieldlossy | Fully supported | |
| Target Groups | CRM Tags / Smart Groups1:1 | Mapping required | |
| Predictive Values | Custom Float Fields (read-only reference)1:1 | Mapping required | |
| Campaign | CRM Campaign1:1 | Fully supported | |
| Campaign Engagement Metrics | CRM Campaign Member Stats / Log Notes1:1 | Fully supported | |
| Control Groups | Contact Tags1:1 | Fully supported | |
| Multi-Brand / Multi-Network Databases | Odoo Companies / Databases1:many | Mapping required | |
| User / Team Members | Odoo Users1:1 | Fully supported | |
| Attachments / Media Assets | Not Migrated1:1 | Not supported | |
| Custom Objects | Not Migrated1:1 | Not 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.
Optimove gotchas
Custom Attributes 50-attribute limit affects migration scoping
Predictive model scores are Optimove-specific and not portable
Multi-brand architecture requires schema mapping per network
Campaign journey logic has no export format
Longer onboarding timeline affects migration project planning
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 Optimove environment audit
We audit the source Optimove environment across all customer networks, custom attribute counts, active Target Groups, campaign inventory, Data Share SQL view availability, and lifecycle stage definitions. We identify any attribute overflow relative to the 50-attribute limit, list all separate customer databases per brand, and extract sample Data Share exports to validate schema completeness. We also confirm the Optimove tenant's API access status and whether Data Share views are enabled for the account. The discovery output is a written migration scope document listing all Customer networks, record counts per network, attribute mapping plans, and a flag for any objects that cannot migrate due to API limitations.
Odoo destination setup and partner model design
We configure the destination Odoo environment including installing the CRM module, setting up multi-company structure (if applicable), and designing the Partner (Contact/Company) model to accommodate Optimove's Customer records. This includes creating custom fields on res.partner for Lifecycle Stage, predictive scores, and any Optimove custom attributes that exceed Odoo's standard contact fields. We define the is_company resolution logic for each Customer record and configure Odoo Tags for Lifecycle Stages and Target Group membership. The schema is validated in an Odoo staging environment before any production data moves.
Data extraction from Optimove via Data Share and API
We extract Customer records, Customer Attributes, Lifecycle Stage assignments, Target Group membership, Campaign metadata, engagement metrics, Control Group membership, and User accounts from Optimove via Data Share SQL views and the Customers API. For multi-brand accounts, we run separate extraction queries per network database. We capture the current snapshot of all attributes, stage assignments, and predictive scores in a single extraction pass to ensure consistency. Predictive score exports are captured as numeric fields linked to CustomerID for downstream mapping to Odoo Contact custom fields.
Data cleansing, transformation, and Partner resolution
We run data quality checks including duplicate detection (by email and CustomerID), incomplete record flagging, and format standardisation (phone numbers, dates, addresses). We apply the is_company resolution logic to each Customer record, create parent-child Partner relationships for B2B hierarchies, and generate the Lifecycle Stage tags and predictive score custom field values. We resolve Owner mapping by matching Optimove user emails to Odoo User logins. Any Customers without a matching Optimove network in the extraction (isolated records, orphaned accounts) are flagged in a reconciliation report for the customer to resolve before import.
Staging migration and Odoo validation
We run a full migration into an Odoo staging environment (a copy of the production database) using the extracted and transformed data. The customer's team validates record counts (Customers in, Partners in, Tags assigned), spot-checks 25-50 random records against the Optimove source, and reviews the Lifecycle Stage tag mapping and predictive score fields. Any mapping corrections, missing attributes, or Partner resolution errors are resolved in the transformation scripts and the staging migration is re-run. The customer signs off the staging validation before production migration begins.
Production migration in dependency order
We run production migration in record-dependency order: Odoo Users (manual provisioning validated), Partner records (with is_company flag and parent_id resolved), CRM Tags (Lifecycle Stages, Target Groups, Control Groups), CRM Campaigns (metadata and engagement metrics), CRM Campaign Members (per-contact engagement history), and predictive score custom fields. Each phase emits a row-count reconciliation report before the next phase begins. We use Odoo's built-in import framework and direct SQL injection for large record sets with attention to Odoo's ir.model.data sequencing to maintain referential integrity.
Cutover, validation, and automation rebuild handoff
We freeze Optimove writes during cutover, run a final delta migration of any records modified during the migration window, then enable Odoo CRM as the system of record. We deliver the Campaign and Automation Inventory document listing every active Optimove campaign, journey logic, and automation with its configuration for the customer's Odoo admin to rebuild in Odoo Studio. We support a one-week hypercare window where we resolve reconciliation issues raised by the customer's team. We do not rebuild Optimove journeys as Odoo automation rules inside the migration scope; that work is documented and handed off as a separate configuration task.
Platform deep dives
Optimove
Source
Strengths
Weaknesses
Odoo CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 of 8 objects need a manual workaround.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Optimove and Odoo CRM.
Object compatibility
1 of 8 objects need a manual workaround.
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
Optimove: Not publicly documented in developer documentation.
Data volume sensitivity
Optimove exposes a bulk API — large-volume migrations stream efficiently.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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