CRM migration

Migrate from Clarify CRM to Odoo CRM

Field-level mapping, validation, and rollback between Clarify CRM and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.

Clarify CRM logo

Clarify CRM

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

75%

9 of 12

objects map 1:1 between Clarify CRM and Odoo CRM.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Clarify CRM to Odoo CRM is a structural migration from an AI-autonomous, credit-priced SaaS tool to a modular open-source ERP with an integrated CRM layer. Clarify stores Contacts and Companies as separate objects enriched by autonomous AI field population; Odoo uses a unified res.partner model that conflates individuals and organizations under one table with a is_company boolean flag, requiring a schema decomposition during migration. Clarify Deals map to Odoo crm.lead with a pipeline_id and stage_id. Activity history (calls, emails, meetings, notes) migrates as Odoo mail.message and mail.activity records linked via model and res_id references. We flag every AI-enriched field before migration so the customer decides whether to preserve autonomous summaries or strip them. Workflows, sequences, and automation rules in Clarify do not migrate; we deliver a written inventory of these for the customer's Odoo partner to rebuild in Studio or custom Python modules. Odoo's per-user licensing model replaces Clarify's credit-based pricing, which typically reduces cost unpredictability for established sales teams that have already scaled past the free-tier credit ceiling.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Clarify CRM logo

Clarify CRM

What's pushing teams away

  • AI still requires correction — it frequently populates company details with incorrect information that teams must manually override.
  • Limited native integrations today mean teams using specific tools must rebuild connections or abandon existing stacks entirely.
  • Advanced analytics and complex automation capabilities lag behind established CRMs like Salesforce and HubSpot, frustrating ops teams.
  • Rigid, custom workflows that change frequently are difficult to maintain in Clarify's opinionated autonomous framework.

Choosing

Odoo CRM logo

Odoo CRM

What's pulling them in

  • Teams choose Odoo CRM for its modular architecture — one base install with one-click app additions means they can adopt CRM alone and add accounting, inventory, or sales later as the business grows.
  • Small businesses pick Odoo because the Community edition is free and open-source, with no per-user or contact limits, allowing full evaluation before committing to a paid Enterprise tier.
  • The drag-and-drop Kanban pipeline and AI lead scoring are highlighted across G2 reviews as concrete features that make lead management faster and more visual than spreadsheet-based workflows.
  • Odoo's native integration with email, live chat, SMS, VoIP, and WhatsApp means inbound leads from multiple channels feed into a single pipeline without third-party middleware.
  • Companies in retail, supply chain, and construction value that Odoo's CRM module shares the same PostgreSQL database and UI as its ERP modules, eliminating data silos between sales and operations.

Object mapping

How Clarify CRM objects map to Odoo CRM

Each row shows how a Clarify 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.

Clarify CRM

Contact

maps to

Odoo CRM

res.partner

1:1
Fully supported

Clarify Contact records map to Odoo res.partner with is_company=False and partner_latitude/longitude fields preserved. Email maps to email, phone to phone, and job_title to function. We set the commercial_partner_id to the linked Company record's res.partner ID at migration time. All standard contact fields migrate directly; AI-enriched custom fields are flagged during scoping for the customer to review before import.

Clarify CRM

Company

maps to

Odoo CRM

res.partner (is_company=True)

1:1
Fully supported

Clarify Company records map to Odoo res.partner with is_company=True. Domain-based enrichment from Clarify populates the website field. We set parent_id=null on company records and use the commercial_partner_id for hierarchy (company as parent of individual contacts). Company-specific fields like industry, employee_count, and annual_revenue map to custom res.partner fields that we pre-create in the destination Odoo database.

Clarify CRM

Deal

maps to

Odoo CRM

crm.lead (type=opportunity)

1:1
Fully supported

Clarify Deal records map to Odoo crm.lead with type='opportunity'. Deal value maps to planned_revenue, close_date maps to date_deadline, and deal name maps to name. The linked Company res.partner becomes the partner_id on crm.lead; the linked Contact res.partner becomes the contact_id. We set active=True and probability based on the mapped stage_id probability value.

Clarify CRM

Pipeline Stage

maps to

Odoo CRM

crm.stage

lossy
Fully supported

Clarify pipeline stages map to Odoo crm.stage records within a crm.pipeline. We capture the full stage sequence, custom stage names, and probability percentages from Clarify and create equivalent stages in Odoo with corresponding sequence order and is_won/is_lost flags. Stage names are normalized to Odoo's slug-style naming convention for kanban display.

Clarify CRM

Pipeline

maps to

Odoo CRM

crm.pipeline

lossy
Fully supported

Each Clarify pipeline maps to an Odoo cdoo.pipeline record. Odoo allows multiple pipelines visible in separate kanban views. We create one pipeline per Clarify pipeline and assign the corresponding stage sequence. The pipeline's team_id maps to an Odoo crm.team that we provision during migration.

Clarify CRM

Tag

maps to

Odoo CRM

crm.tag

1:1
Fully supported

Clarify tags migrate to Odoo crm.tag records, and tag assignments migrate to crm.tag_rel linking crm.lead to crm.tag. Tags used on Clarify Company records are stored as res.partner category_id entries (using res.partner.category). We deduplicate tag names before import to avoid Odoo raising unique constraint violations on tag creation.

Clarify CRM

Activity: Call

maps to

Odoo CRM

mail.activity (activity_type_id=Call)

1:1
Fully supported

Clarify call activities map to Odoo mail.activity records with activity_type_id='Call'. Activity date, duration, and outcome notes from Clarify populate mail.activity date_deadline, summary, and note fields. The activity's res_model is set to crm.lead and res_id to the migrated crm.lead id.

Clarify CRM

Activity: Email

maps to

Odoo CRM

mail.message

1:1
Fully supported

Clarify email engagement records migrate to Odoo mail.message with message_type='email'. Body content migrates as HTML body, subject as subject. We link mail.message to the migrated res.partner record via model='res.partner' and res_id. Email from/to addresses map to email_from and recipient_ids.

Clarify CRM

Activity: Meeting

maps to

Odoo CRM

calendar.event

1:1
Fully supported

Clarify meeting activities map to Odoo calendar.event records with start, stop, and location fields populated. Attendees from Clarify meeting records resolve to res.partner attendees via partner_ids on the calendar.event. We preserve the original meeting timestamp in calendar.event start_datetime.

Clarify CRM

Activity: Note

maps to

Odoo CRM

mail.message (internal)

1:1
Fully supported

Clarify note activities and standalone notes migrate to Odoo mail.message with message_type='notification' and subtype='mt_note'. AI-generated meeting summaries stored as note content are migrated as mail.message body text, flagged with a migration note in the message metadata so the customer knows which content was autonomous-generated in Clarify.

Clarify CRM

Custom Fields

maps to

Odoo CRM

ir.model.fields (custom)

lossy
Mapping required

Clarify custom fields on Contact, Company, and Deal objects require pre-creation in Odoo as ir.model.fields before data import. We extract the field type from Clarify (text, number, date, currency, multi-select) and map to the nearest Odoo field type (char, float, datetime, monetary, selection). Many-to-many and multi-select fields on Contact map to res.partner.tag_ids if appropriate, otherwise we create dedicated custom selection or char fields.

Clarify CRM

Owner

maps to

Odoo CRM

res.users

1:1
Fully supported

Clarify Owner records map to Odoo res.users by email match. We extract every distinct owner referenced on Contact, Company, Deal, and Activity and match against res.users in the destination Odoo database. Owners without a matching user are held in a reconciliation queue for the customer's Odoo admin to provision before record import resumes.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

Clarify CRM logo

Clarify CRM gotchas

High

Credit-based billing requires usage audit before migration

Medium

15 req/s API rate limit applies universally

Medium

AI summaries export as linked notes, not structured records

Odoo CRM logo

Odoo CRM gotchas

High

Odoo.sh version gating blocks assisted migrations from trial

High

Enterprise modules fail to install on Community after database restore

Medium

Custom module view inheritance breaks between Odoo major versions

Medium

Custom fields risk losing their application context on Community

Low

API access for Community is gated behind the Custom Plan

Pair-specific challenges

  • Clarify's credit audit must precede any migration decision

    Clarify charges per AI action on a credit basis, not per seat. Before migration begins, we audit which records consumed premium AI credits — autonomous field updates, meeting summaries, deal context enrichment — and present this to the customer. The customer decides whether to preserve AI-generated content as-is, strip it, or retain it as a read-only field for manual review. Failure to audit before migration means AI-populated fields may be carried into Odoo without the customer understanding which data is AI-generated versus manually entered, creating data-quality risk in the new system.

  • Clarify's 15 req/s API rate limit requires batch scheduling

    Clarify enforces a flat 15 requests per second rate limit with no published per-tier differences. We chunk all export calls into sub-15-rps batches, implement exponential backoff retry logic on 429 responses, and split large export jobs across multiple scheduling windows. For datasets over 10,000 records, we parallelize export jobs by object type (Contacts first, then Companies, then Deals, then Activities) to stay within the rate limit without stalling the migration timeline. Odoo's XML-RPC import API does not have equivalent rate constraints, but the source-side throttle governs the export cadence.

  • Odoo res.partner conflates Contact and Company

    Odoo does not have separate Contact and Company objects. Both individuals and organizations live in res.partner, with is_company=True distinguishing organizations. This means Clarify's Company record becomes one res.partner entry and each Clarify Contact linked to that Company becomes a separate res.partner with parent_id pointing to the Company. We resolve parent_id relationships at migration time using Clarify's Company linkage. Teams with complex hierarchical company structures (subsidiaries, branches) need to pre-define the parent_id mapping during scoping to avoid flat, orphaned partner trees in Odoo.

  • AI-generated summaries store as linked notes, not structured records

    Clarify's autonomous meeting summaries are stored as enriched note content attached to activity records, not as first-class structured objects. When migrating to Odoo CRM, we convert these summaries into mail.message body text attached to the relevant crm.lead or res.partner. Odoo does not have a native 'AI summary' concept, so the content is stored as plain text or HTML within mail.message. We flag each migrated summary in the message metadata so the customer can identify which content was AI-generated in Clarify versus manually entered.

  • Clarify Workflows and custom workflows do not migrate to Odoo

    Clarify's autonomous workflow framework — including autonomous field-update agents, stale-deal surfacing rules, and any manually created custom workflows — has no direct equivalent in Odoo CRM. Odoo Studio allows workflow construction through automated actions and server actions, but the migration scope covers data only. We deliver a written inventory of every active Clarify workflow with its trigger, conditions, and actions documented, and the customer's Odoo partner or admin rebuilds them in Odoo Studio or as custom Python modules post-migration. Automations related to AI field population do not have an Odoo equivalent and must be re-scoped as manual data-entry policies or Odoo automated actions.

Migration approach

Six steps for a successful Clarify CRM to Odoo CRM data migration

  1. Credit audit and migration scope definition

    We audit the Clarify account for credit consumption across AI action types, record counts per object, active pipeline count, custom field definitions, tag usage, and engagement volume. We produce a written scope document that defines which records carry AI-enriched data, which the customer wants to preserve or strip, and the full object-level mapping to Odoo CRM. We also confirm the Odoo edition (Starter, Professional, or Odoo.sh), user count, and any existing Odoo database that will receive the migrated data. This step gates all downstream work.

  2. Odoo res.partner schema design and stage configuration

    We design the destination schema in Odoo. For res.partner, we create the distinction between is_company=True partners (from Clarify Companies) and is_company=False partners (from Clarify Contacts) and define the parent_id hierarchy. Custom fields from Clarify are pre-created as ir.model.fields in Odoo with correct types (char, datetime, selection, many2many). We configure crm.pipeline records matching Clarify pipeline count and create crm.stage entries with correct sequence, probability, and is_won/is_lost flags. Odoo Studio or a Python migration script handles schema deployment into the target database.

  3. Export under Clarify API rate limits

    We extract data from Clarify in dependency order: Companies first (to resolve res.partner parent IDs), then Contacts (with parent_id resolved to Companies), then Deals (with partner_id resolved), then Pipeline stages and tags (for denormalization), then Activity records (calls, emails, meetings, notes). Each export run stays under the 15 req/s limit using sub-batching and exponential backoff. AI-enriched field values are exported with their source flags intact so the customer can identify which fields were autonomously populated in Clarify.

  4. Data transformation and partner deduplication

    We transform Clarify records into Odoo schema format. This includes splitting Clarify Contact and Company into two res.partner records per organization, mapping Clarify tags to crm.tag entries and crm.tag_rel associations, converting Clarify activity timestamps to Odoo datetime format, and resolving parent_id references between Contact and Company partner records. Any tag name collisions are deduplicated before Odoo import. Custom field values are validated against the pre-created Odoo field types to prevent import rejection.

  5. Odoo import with parent-record resolution

    We import data into Odoo via XML-RPC in dependency order: res.partner (companies first, then contacts with parent_id resolved), crm.tag (before Deals so tag_rel is satisfied), crm.lead (with partner_id, contact_id, stage_id, and pipeline_id resolved), then mail.activity and mail.message for activity history. Owner resolution maps Clarify owner email to res.users login. Each import phase emits a row-count reconciliation report before the next phase begins. Validation rules and Odoo record uniqueness constraints are reviewed with the customer's admin before import to prevent batch rejections.

  6. Cutover, validation, and automation rebuild handoff

    We freeze Clarify writes during the cutover window, run a final delta migration of any records modified during the migration, then enable Odoo as the system of record. We validate record counts, spot-check 25-50 records against the Clarify source, and deliver the Workflow and Automation Inventory document to the customer's Odoo partner or admin. We support a five-business-day hypercare window for reconciliation issues. Workflow rebuild, Odoo automated actions, and Studio-based process redesign are outside the migration scope and are documented as a separate engagement.

Platform deep dives

Context on both ends of the pair

Clarify CRM logo

Clarify CRM

Source

Strengths

  • Autonomous field population reduces CRM decay without requiring manual data entry workflows.
  • Credit-based usage pricing decouples cost from team headcount for predictable budgeting.
  • AI-powered deal context and stale-deal surfacing provide immediate sales intelligence out of the box.
  • Distraction-free interface with no unnecessary clicks appeals to founder-led sales teams.
  • Self-configuring pipeline setup requires no technical expertise or implementation consultant.

Weaknesses

  • Limited native integrations with third-party tools forces teams to rebuild existing stack connections.
  • AI accuracy issues require ongoing manual correction of incorrectly populated company details.
  • Advanced analytics and reporting lag behind established CRM platforms like Salesforce and HubSpot.
  • Complex custom workflows are difficult to maintain within Clarify's opinionated autonomous framework.
  • Still maturing product — fewer third-party resources, community answers, and certified partners than incumbents.
Odoo CRM logo

Odoo CRM

Destination

Strengths

  • Modular open-source architecture lets teams start with CRM and add ERP apps as needs grow, all sharing one PostgreSQL database.
  • Free Community edition with no contact limits and full source code access means zero licensing cost for evaluation and small deployments.
  • Drag-and-drop Kanban pipeline with AI lead scoring gives a visual, prioritized view of the sales funnel without requiring custom configuration.
  • Native integrations with email, live chat, SMS, VoIP, WhatsApp, and social media feed all inbound leads into a single unified inbox.
  • Active Odoo Community Association (OCA) maintains dozens of community-maintained modules on GitHub for extended functionality.

Weaknesses

  • Gmail and email integration reliability is a recurring complaint — threads drop and conversations scatter across inboxes, disrupting sales team workflows.
  • Enterprise edition pricing stacks quickly: multiple apps at per-user rates ($25–$50/user/month) plus Odoo.sh hosting costs more than many SMBs anticipate.
  • Setup and configuration complexity increases significantly once custom fields, automation rules, and multiple installed modules are in play.
  • Odoo.sh trial databases run on a version (e.g., 18.3) that is not directly migratable to Odoo.sh, blocking the assisted migration path Odoo advertises.
  • Version upgrades between major Odoo releases (e.g., 17→18) frequently break custom module view definitions and XPath expressions, requiring manual remediation.

Complexity grading

How hard is this migration?

Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Clarify CRM and Odoo CRM.

  • Object compatibility

    B

    2 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Clarify CRM: 15 requests per second (universal, all plans).

  • Data volume sensitivity

    B

    Clarify CRM doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Clarify CRM to Odoo CRM migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Clarify CRM to Odoo CRM data migrations

Answers to the questions buyers ask most during Clarify CRM to Odoo CRM migration scoping. Not seeing yours? Book a call.

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Most migrations land between three and five weeks for accounts under 15,000 Contacts, 5,000 Deals, and moderate activity history. Migrations with large engagement histories (over 200,000 activity records), multiple Clarify pipelines, extensive custom field definitions, or Odoo.sh deployment complexity move to seven to eleven weeks. The Clarify API's 15 req/s rate limit is the primary timeline constraint on the export side; Odoo import speed is not a bottleneck for typical data volumes.

Adjacent paths

Related migrations to explore

Ready when you are

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