CRM migration
Field-level mapping, validation, and rollback between Clientify and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.
Clientify
Source
Odoo CRM
Destination
Compatibility
10 of 12
objects map 1:1 between Clientify and Odoo CRM.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Clientify to Odoo CRM is a structural remapping of your CRM data into Odoo's two-object model: crm.lead for leads and opportunities, and res.partner for contacts and companies. Clientify stores these as separate objects (Contacts and Companies) that map directly to Odoo's res.partner records with type flags, while Clientify Deals map to Odoo crm.lead with a lost-to-won stage distribution. We preserve Clientify's pipeline stage names and probabilities through Odoo's stage configuration, resolve the Partner-Contact parent relationship at migration time, and carry custom field values into Odoo's ir.model.data custom fields after pre-creating the schema. WhatsApp conversation threads migrate as available metadata where the Clientify API exposes them; full thread content depends on export capability at migration time. Clientify Workflow automations do not export in a portable format; we deliver a structured automation inventory worksheet for your admin to rebuild inside Odoo's Studio automation framework.
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 Clientify 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.
Clientify
Contact
Odoo CRM
res.partner
1:1Clientify Contact records map to Odoo res.partner with type=contact. The Clientify contact's linked Company association becomes res.partner.parent_id pointing to the company-type Partner record. Standard fields (name, email, phone, mobile, website) migrate directly; custom properties require pre-creation in Odoo via Settings > Technical > User Interface > Views or Studio before import. Partner addresses (street, city, state, zip, country) migrate to res.partner address fields with country_id resolved from Odoo's country table by ISO code match.
Clientify
Company
Odoo CRM
res.partner (company type)
1:1Clientify Company records map to Odoo res.partner with type=company. The company flag is set at import time. Industry, size, and address fields migrate directly. Each company Partner is created before any linked Contact import so that the parent_id lookup is satisfied. Company records without contacts become standalone Partner records with no children.
Clientify
Lead
Odoo CRM
crm.lead
1:1Clientify Lead object maps directly to Odoo crm.lead. The crm.lead.type field is set to lead for unqualified prospects. Lead score from Clientify's AI scoring migrates to a custom float field (x_clientify_lead_score__c) pre-created in Odoo before migration. Lead source and status fields map to crm.lead.source_id and stage_id with stage resolved from Odoo's configured pipeline stages.
Clientify
Deal
Odoo CRM
crm.lead (opportunity)
1:1Clientify Deals map to Odoo crm.lead with type=opportunity. The crm.lead.partner_id is resolved to the res.partner record created from the Deal's linked Contact and Company during the partner import phase. Expected revenue and probability migrate to planned_revenue and probability fields. Stage mapping uses Clientify's dealstage to Odoo's stage_id with a mapping table created during schema design. Closed-Won and Closed-Lost outcomes from Clientify map to Odoo's wonln stage and the configured lost stage.
Clientify
Pipeline Stage
Odoo CRM
crm.stage
lossyClientify pipeline stage names and their sequence order migrate to Odoo crm.stage records within the relevant sales team pipeline. Stage probability percentages are stored on crm.stage.probability. We create the stage records in Odoo Settings > CRM > Stages before the Deal import begins so that stage_id references resolve at import time. Stage-automation actions (stage-change triggers) are not migrated; they are documented in the automation inventory for Odoo Studio rebuild.
Clientify
Activity (Call, Email, Meeting, Task)
Odoo CRM
mail.message + crm.lead.activity
1:1Clientify engagement records (calls, emails, meetings, tasks) attached to Deals and Leads migrate to Odoo's crm.lead activity history (mail.message records with res_model=crm.lead). Each activity's date and subject map to mail.message.date and subject respectively. Call duration and disposition migrate to custom fields on the activity record if present. Activity type classification (call vs email vs meeting) is preserved in a custom activity_type field or through the subtype_id if Odoo's mail subtype configuration is active.
Clientify
Custom Properties
Odoo CRM
Custom ir.model.data fields
lossyClientify custom fields on Contacts, Companies, and Deals require pre-creation in Odoo before migration begins. We map field types during scoping: Clientify text, number, and date fields map directly to Odoo Char, Float/Integer, and Date field types; picklist fields require Odoo Selection fields with the same allowed values pre-populated or the import will reject records with unknown picklist values. Multi-select picklist values are stored as comma-separated Char in Odoo unless a dedicated many2many relationship is configured during schema design.
Clientify
Marketing Campaign (metrics)
Odoo CRM
crm.tracking.mixin or custom model
1:1Clientify campaign records including open rates, click rates, and send volumes migrate as campaign metadata attached to crm.lead records via the source_id or utm_campaign fields. The campaign automation logic (A/B tests, trigger conditions, send-time rules) lives in Clientify's campaign builder and cannot be extracted; we migrate the performance history as data, document the campaign structure for Odoo email marketing rebuild, and note that Odoo's email marketing module (mass_mailing) requires separate configuration to replicate the sending logic.
Clientify
WhatsApp Conversation
Odoo CRM
mail.message (WhatsApp subtype)
1:1WhatsApp message threads linked to Clientify Contact records migrate where Clientify's API exposes the conversation data at migration time. We extract message text, sender, timestamp, and message count as metadata; media attachments and delivery/read receipts depend on Clientify's export capability. The migrated data lands as mail.message records with a WhatsApp subtype on the related crm.lead or res.partner. We flag completeness gaps in the pre-migration audit and document the WhatsApp rebuild options in Odoo (native module or third-party WhatsApp Business API connector).
Clientify
User / Owner
Odoo CRM
res.users
1:1Clientify Owner records (sales reps, admin users) map to Odoo res.users by email match. We export all Owner IDs referenced on Contact, Company, Deal, and Activity records and match against the destination Odoo User list. Users not yet provisioned in Odoo are placed in a reconciliation queue; the customer admin creates the missing User accounts before record import resumes. Active/inactive status is preserved from Clientify.
Clientify
Tag / Segment
Odoo CRM
crm.tag
1:1Clientify tags attached to Contacts and Deals migrate to Odoo crm.tag records. Tags are linked to crm.lead via crm.tag.rel many2many table. Segment definitions built on dynamic filters in Clientify cannot be extracted; we document the filter criteria for manual reconstruction in Odoo CRM's group and filter system.
Clientify
Workflow Automation
Odoo CRM
Studio automation (not migrated)
1:1Clientify workflow rules stored in its proprietary automation builder have no portable export format. We do not migrate automations. We provide a structured automation inventory worksheet during scoping that documents every active rule's trigger, conditions, actions, and delays. The customer's Odoo admin rebuilds these in Odoo Studio (trigger actions, automated actions, server actions) post-migration. This is a manual step outside standard migration scope.
| Clientify | Odoo CRM | Compatibility | |
|---|---|---|---|
| Contact | res.partner1:1 | Fully supported | |
| Company | res.partner (company type)1:1 | Fully supported | |
| Lead | crm.lead1:1 | Fully supported | |
| Deal | crm.lead (opportunity)1:1 | Fully supported | |
| Pipeline Stage | crm.stagelossy | Fully supported | |
| Activity (Call, Email, Meeting, Task) | mail.message + crm.lead.activity1:1 | Fully supported | |
| Custom Properties | Custom ir.model.data fieldslossy | Mapping required | |
| Marketing Campaign (metrics) | crm.tracking.mixin or custom model1:1 | Fully supported | |
| WhatsApp Conversation | mail.message (WhatsApp subtype)1:1 | Fully supported | |
| User / Owner | res.users1:1 | Fully supported | |
| Tag / Segment | crm.tag1:1 | Fully supported | |
| Workflow Automation | Studio automation (not migrated)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.
Clientify gotchas
Workflow automation logic does not export
WhatsApp conversation history depends on API exportability
Custom properties may have schema restrictions at destination
Marketing campaign metrics are exportable but campaign logic is not
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 scoping
We audit Clientify's full data inventory including Contact count, Company count, Deal volume by stage, activity history size, custom property list, active pipeline configurations, active automations, and WhatsApp usage. We also review the destination Odoo setup (edition, existing modules, user count, and any pre-existing crm.lead or res.partner records). The discovery output is a written migration scope document covering record counts per object, custom field inventory, pipeline stage mapping, and the automation inventory worksheet we complete together with the customer's team.
Schema design and Odoo field pre-creation
We design the Odoo destination schema before any data moves. This includes pre-creating custom fields on res.partner (for Contact and Company custom properties) and crm.lead (for Deal custom properties and Clientify's lead score). We configure crm.stage records matching Clientify's pipeline stage names and probability percentages, and create the sales team pipeline assignment. Picklist Selection options are populated on all custom fields that require them. Schema is deployed into the Odoo sandbox or staging environment first for validation.
Partner (Company and Contact) import with parent resolution
We import Clientify Company records first as res.partner with type=company, then import Clientify Contact records as res.partner with type=contact, resolving each Contact's parent_id to the matching Company Partner by Clientify's company_id foreign key. The parent resolution is computed in a staging transform before Odoo import so that no Contact lands without its company link. Owner (sales rep) mapping is validated at this stage: any Clientify Owner without a matching Odoo User is flagged in the reconciliation queue.
Lead and Deal (Opportunity) import
Clientify Leads import as crm.lead with type=lead; Clientify Deals import as crm.lead with type=opportunity. The opportunity's partner_id links to the resolved res.partner record from step 3. Stage assignment uses the Clientify stage-to-Odoo stage mapping table created during schema design. Expected revenue and probability migrate directly. Lead score from Clientify AI lands in the custom x_clientify_lead_score__c field.
Activity history migration via Odoo API
Clientify engagement records (calls, emails, meetings, tasks) are mapped to Odoo mail.message records linked to the relevant crm.lead. We use Odoo's XML-RPC API with batch chunking and exponential backoff on rate-limit responses to insert activity history in date order, preserving the original timestamp on each record. Each activity subtype (call, email, meeting, task) is mapped to the corresponding Odoo mail.message.subtype or a custom subtype pre-created during schema design.
Cutover, delta sync, and automation rebuild handoff
We freeze writes to Clientify during a defined cutover window, run a final delta migration of any records modified during the migration phase, and validate record counts across all objects against the source. Post-migration validation includes a spot-check of 25-50 records per object type comparing key field values against the Clientify source. We deliver the automation inventory worksheet to the customer's Odoo admin along with a brief guide to rebuilding Clientify automations in Odoo Studio. We support a one-week post-go-live hypercare window for reconciliation issues.
Platform deep dives
Clientify
Source
Strengths
Weaknesses
Odoo CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Clientify and Odoo CRM.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Clientify and Odoo CRM.
Object compatibility
All 8 core objects map 1:1 between Clientify 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
Clientify: Not publicly documented.
Data volume sensitivity
Clientify 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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