CRM migration
Field-level mapping, validation, and rollback between RollWorks Account-Based Platform and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.
RollWorks Account-Based Platform
Source
Odoo CRM
Destination
Compatibility
6 of 12
objects map 1:1 between RollWorks Account-Based Platform and Odoo CRM.
Complexity
BStandard
Timeline
4-8 weeks
Overview
Moving from RollWorks Account-Based Platform to Odoo CRM is a data consolidation from two layers: the advertising and ABM orchestration layer in AdRoll ABM, and the CRM layer in the connected Salesforce or HubSpot instance. Odoo does not have a native advertising module or ABM-specific Journey Stages, so we migrate what translates directly (Account Lists to Odoo Contacts, Journey Stage assignments to custom stage fields, engagement scores to custom fields) and document what requires manual rebuild or a third-party Odoo app. Workflows defined in the AdRoll ABM orchestration layer are extracted separately and inventoried for the customer's admin to rebuild in Odoo Automations. We do not migrate live ad creative, active advertising spend data, or the ABM-specific Sales Insights scoring engine. The migration scoped as a CRM-only extraction from RollWorks typically runs four to eight weeks; adding advertising-layer extraction and custom field reconstruction extends to ten to fourteen weeks.
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 RollWorks Account-Based Platform 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.
RollWorks Account-Based Platform
Account Lists
Odoo CRM
Contact (with Tag segmentation)
1:1RollWorks Account Lists map to Odoo Contact records. Each Account List is extracted with its full member list (Account name, domain, and any CRM-synced fields). We map Account List membership to Odoo Tags using the res.partner.tag model, creating one tag per Account List and applying it to all contacts in that list. If Account Lists contain sub-lists, we flatten the hierarchy into a parent-tag and child-tags structure. The Odoo Contact's email, phone, address, and company name fields are populated from the CRM sync source. Dedup key is email domain for B2B contacts.
RollWorks Account-Based Platform
Account Groups
Odoo CRM
Contact Group
1:manyRollWorks Account Groups (collections of Account Lists) map to Odoo Contact Groups or a custom res.partner.group model depending on the customer's Odoo edition. We extract the full group hierarchy and apply it as a nested tag structure in Odoo. Groups that reference multiple Account Lists produce multiple tag assignments on the same Contact. If the customer uses Odoo CRM's native grouping by Sales Team, we map Account Groups to Odoo Sales Team assignments on the Contact record.
RollWorks Account-Based Platform
Journey Stages
Odoo CRM
Custom Stage Field on Contact
lossyRollWorks Journey Stages are derived from CRM field values ingested through the Salesforce or HubSpot integration and do not have a native Odoo equivalent. We create a custom Char or Selection field on res.partner (odoo_crm_journey_stage__c) and populate it with the Journey Stage value from the CRM sync source. If the customer uses Odoo CRM pipelines, we map Journey Stages to Odoo CRM stage assignments on linked Opportunities where applicable. The original stage source field in Salesforce or HubSpot is preserved in the mapping documentation.
RollWorks Account-Based Platform
Contacts / Hot Contacts
Odoo CRM
Contact
1:1RollWorks Hot Contacts (deanonymized web visitors) are pushed to the connected CRM as leads or contacts via workflow actions and migrate as Odoo Contact records. We extract the full contact profile from the CRM sync source including any custom fields, and apply the corresponding Odoo tags based on the RollWorks Hot Contact designation. Email, phone, address, company name, and contact owner map directly to Odoo res.partner fields. Note that Lead records in RollWorks cannot be associated to Accounts in Journey Events, so teams using Leads over Contacts may have attribution gaps that we flag during scoping.
RollWorks Account-Based Platform
Companies (CRM-synced)
Odoo CRM
Company / Partner
1:1Company records from the connected Salesforce or HubSpot CRM sync map to Odoo Company records (res.partner with is_company=True). Company name, website, industry, employee count, and address fields map to the corresponding Odoo fields. The RollWorks Account name becomes the Odoo Company name. We use company domain as the dedupe key during import. Company-level engagement scores from RollWorks (if available in the CRM sync) migrate to custom fields on the Odoo Company record.
RollWorks Account-Based Platform
Sales Insights / Account Spike Signals
Odoo CRM
Custom Field on Contact/Company
lossyRollWorks Account Spike scores and Sales Insights are written to Salesforce or HubSpot widgets and do not have a native Odoo equivalent. We create custom Float or Integer fields on res.partner (spike_score__c and engagement_rank__c) and populate them from the CRM sync source if the connected platform carries these values. If the CRM sync does not expose these scores directly, we document them as unavailable for automated migration and recommend that the customer's admin rebuilds scoring logic in Odoo using Odoo Automations or a third-party lead scoring app.
RollWorks Account-Based Platform
Custom Salesforce Object (AdRoll Aggregated Account Data)
Odoo CRM
Custom Fields on Company/Contact
lossyRollWorks creates custom Salesforce objects and fields to store aggregated advertising engagement data. We audit the customer's Salesforce schema during scoping to identify these custom objects, then replicate the field schema as custom fields on the Odoo res.partner record. AdRoll aggregated metrics (impressions, clicks, engagement rate per account) are stored as Float or Integer custom fields on the Odoo Company or Contact. Any rollup summaries are recalculated in Odoo after migration using Odoo computed fields if the aggregation logic is required.
RollWorks Account-Based Platform
Workflows (AdRoll ABM Triggers and Actions)
Odoo CRM
Odoo Automations (documented, not migrated)
1:1RollWorks Workflows (Triggers and Actions) are defined in the AdRoll ABM orchestration layer, not in the connected CRM. We perform a dedicated extraction pass to capture workflow definitions (trigger type, conditions, actions, target CRM updates). Odoo Automations use a different trigger model (based on Odoo models and on_change events rather than advertising event triggers), so Workflows cannot be migrated as code. We deliver a written inventory of every active RollWorks Workflow with its trigger, conditions, and actions mapped to a recommended Odoo Automation equivalent. The customer's admin rebuilds them in Odoo Studio post-migration.
RollWorks Account-Based Platform
Journey Events
Odoo CRM
CRM Activity Log (documented gap)
1:1RollWorks Journey Events aggregate advertising engagement and G2 buyer intent signals and associate them with CRM Contacts. Odoo has no native Journey Events model. We extract Journey Event summaries from the CRM sync source where available (typically as custom Salesforce fields or HubSpot properties) and migrate them as custom fields on the Odoo Contact or Company. Live Journey Event streaming cannot be replicated in Odoo without a third-party ABM integration app. We document the gap and recommend Odoo Marketing Automation or a third-party ABM tool as a replacement for ongoing Journey Event ingestion.
RollWorks Account-Based Platform
Advertising Campaigns
Odoo CRM
CRM Campaign or Project (documented)
lossyRollWorks campaign structure (campaign names, audience targeting rules, channel assignments) lives in the advertising layer and does not have a native Odoo equivalent. We extract campaign configuration and audience rules and store them in a CSV inventory document that the customer's admin uses to configure Odoo CRM Campaigns or a project module if campaign tracking is required. Live ad creative assets, active ad spend data, and dynamic CPM metrics do not migrate. We preserve the raw impression and spend data from the CRM sync in a CSV for post-migration cost-per-action calculation if needed.
RollWorks Account-Based Platform
Owner / User
Odoo CRM
User
1:1RollWorks Owners (users assigned to Account Lists, Contacts, and Workflows) map to Odoo Users. We resolve Owners by email match against the Odoo destination database. Any RollWorks Owner without a matching Odoo User is placed in a reconciliation queue for the customer's admin to provision before record import resumes. Owner assignments on migrated Contacts map to Odoo's user_id field on res.partner.
RollWorks Account-Based Platform
Audience Segments
Odoo CRM
Tags on Contact
lossyRollWorks Audience Segments are built from the platform's own data and CRM field combinations. We document every active segmentation rule used in RollWorks campaigns and translate them into Odoo Tags and saved filter views. Segments built from CRM field combinations map to Odoo saved searches using the same field criteria. Segments built from RollWorks proprietary data (intent signals, firmographic scoring) cannot be replicated automatically and are documented for the admin to rebuild using Odoo Automations or a third-party enrichment tool.
| RollWorks Account-Based Platform | Odoo CRM | Compatibility | |
|---|---|---|---|
| Account Lists | Contact (with Tag segmentation)1:1 | Fully supported | |
| Account Groups | Contact Group1:many | Fully supported | |
| Journey Stages | Custom Stage Field on Contactlossy | Mapping required | |
| Contacts / Hot Contacts | Contact1:1 | Mapping required | |
| Companies (CRM-synced) | Company / Partner1:1 | Fully supported | |
| Sales Insights / Account Spike Signals | Custom Field on Contact/Companylossy | Mapping required | |
| Custom Salesforce Object (AdRoll Aggregated Account Data) | Custom Fields on Company/Contactlossy | Fully supported | |
| Workflows (AdRoll ABM Triggers and Actions) | Odoo Automations (documented, not migrated)1:1 | Fully supported | |
| Journey Events | CRM Activity Log (documented gap)1:1 | Mapping required | |
| Advertising Campaigns | CRM Campaign or Project (documented)lossy | Mapping required | |
| Owner / User | User1:1 | Fully supported | |
| Audience Segments | Tags on Contactlossy | Mapping required |
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.
RollWorks Account-Based Platform gotchas
CRM sync limited to standard Salesforce objects
Lead-to-Account association is not supported
Workflow definitions live outside the CRM
Ad serving costs use dynamic CPM, not CPC or CPA
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 dual-layer audit
We audit both the AdRoll ABM platform and the connected Salesforce or HubSpot CRM. On the ABM layer we extract Account Lists, Account Groups, Audience Segments, Workflow definitions, and Journey Stage configurations. On the CRM layer we extract Contacts, Companies, custom objects, and any RollWorks-written custom fields (Account Spike scores, engagement metrics, Journey Stage values). We identify which objects are RollWorks-native versus CRM-native and flag the advertising-layer data that has no Odoo equivalent. The discovery output is a written migration scope that separates migrated data from documented gaps.
Odoo schema design and custom field creation
We design the Odoo CRM schema before data import begins. This includes installing the Odoo CRM app, creating Tags for Account List and Account Group mapping, creating custom fields on res.partner for Journey Stage values and ABM engagement metrics, configuring CRM pipeline stages to match the source Journey Stage values, and setting up Sales Teams if Account Group segmentation maps to team assignments. Schema is deployed in an Odoo test database first for validation. We coordinate with the customer's Odoo admin or implementation partner to confirm edition and module selection.
Data extraction from connected CRM and RollWorks layer
We extract data from the connected Salesforce or HubSpot CRM using the platform's REST or Bulk API with batch chunking and rate-limit handling. For the RollWorks advertising layer we perform a separate extraction pass to capture Account List memberships, Audience Segment definitions, Workflow inventory, and any engagement signal data stored outside the CRM. All extractions use the same timestamp watermark to ensure consistency. We run a record-count reconciliation across all extracted objects before proceeding to transformation.
Data transformation and Odoo import preparation
We transform extracted records to match Odoo's field types and constraints. Account Lists become Contact records with Tag assignments; Account Groups become Contact Group memberships or additional Tags; Journey Stage values populate the custom stage field on res.partner; ABM engagement scores populate custom numeric fields. We resolve Owner email addresses to Odoo User IDs via a lookup table. Any Lead records from the CRM source are assessed for Contact conversion based on the customer's lead management policy. Transformation scripts are validated against a sample of 50 records before bulk processing.
Test migration and reconciliation
We run a full migration into an Odoo test environment using production-like data volume. The customer's team reconciles record counts (Contacts in, Companies in, Tags applied, custom fields populated), spot-checks 25-50 random records against the CRM source, and validates that tag assignments match the original Account List memberships. Any mapping corrections, missing fields, or validation errors are fixed in the transformation scripts and re-run in test before a production migration date is confirmed. Workflow inventory documentation is reviewed by the customer's admin during this phase.
Production cutover and Workflow handoff
We freeze RollWorks 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 Workflow inventory document to the customer's admin team for rebuild in Odoo Studio Automations. We deliver the Audience Segment and Journey Event gap documentation with recommended Odoo alternatives. We support a one-week hypercare window for reconciliation issues. We do not rebuild RollWorks Workflows in Odoo Automations inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
RollWorks Account-Based Platform
Source
Strengths
Weaknesses
Odoo CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between RollWorks Account-Based Platform and Odoo CRM.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across RollWorks Account-Based Platform and Odoo CRM.
Object compatibility
All 8 core objects map 1:1 between RollWorks Account-Based Platform and Odoo CRM.
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
RollWorks Account-Based Platform: Not publicly documented.
Data volume sensitivity
RollWorks Account-Based Platform 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.
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