CRM migration

Migrate from Teamwork CRM to Odoo CRM

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

Teamwork CRM logo

Teamwork CRM

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

50%

6 of 12

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

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Teamwork CRM to Odoo CRM is a platform-family migration that requires remapping the object hierarchy at the schema level. Teamwork CRM uses Companies and Contacts as the foundational pair with separate Leads and Opportunities pipelines; Odoo uses a Lead object (crm.lead) that converts into an Opportunity within a Sales Team, with Partner (res.partner) serving as both person and organization records under a single model. We sequence the migration with Companies before Contacts, preserve stage names and probability weights across the pipeline split, and pre-create Odoo custom fields before import so that Teamwork's text, integer, and dropdown custom fields land in the correct Odoo field types. The Teamwork API enforces a 120 req/min ceiling, and the platform has no bulk import endpoint — we handle rate-limit backoff and batch extraction from list view throughout. Workflows, automation rules, and custom filters are out of scope; we deliver a written inventory for the customer's Odoo admin to rebuild in Odoo's Studio and automated-actions builder post-migration.

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

Teamwork CRM logo

Teamwork CRM

What's pushing teams away

  • Multiple Capterra and G2 reviews report that users cannot attach emails or documents directly to Contact records, forcing activity logging to happen outside the CRM.
  • The platform lacks native Office 365 integration, which creates friction for teams embedded in the Microsoft ecosystem who rely on calendar and email sync.
  • Teams outgrowing the feature set cite missing capabilities: advanced forecasting, multi-object automation, and granular role-based permissions available in HubSpot or Salesforce.
  • Larger organizations report that the per-user pricing model becomes costly as the sales team scales, prompting evaluation of flat-rate or tiered alternatives.

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 Teamwork CRM objects map to Odoo CRM

Each row shows how a Teamwork 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.

Teamwork CRM

Contact

maps to

Odoo CRM

Partner (res.partner)

1:1
Fully supported

Teamwork CRM Contacts map to Odoo Partner records with is_company=False. The Partner record inherits the contact name, email, phone, and address fields directly. We resolve the parent Company by matching the Teamwork Contact's companyId against the previously migrated Company Partner with is_company=True, then set parent_id on the Contact Partner. Tag names from Teamwork migrate to critical field on the Partner record. Active/inactive status maps to active boolean in Odoo.

Teamwork CRM

Company

maps to

Odoo CRM

Partner (res.partner, is_company=True)

1:1
Fully supported

Teamwork CRM Companies map to Odoo Partner records with is_company=True. We migrate company name, domain/website, industry, phone, address, and any custom Company fields as Odoo Partner fields or pre-created custom fields on res.partner. Companies are loaded first in the migration sequence so that parent_id references on Contact Partner records are satisfied at the time of Contact insert.

Teamwork CRM

Lead

maps to

Odoo CRM

Lead (crm.lead)

1:1
Fully supported

Teamwork CRM Leads map directly to Odoo crm.lead records. The Teamwork Lead's stage name, probability weight, assigned owner (mapped to Odoo res.users by email), and any custom Lead fields migrate. We preserve lead source and lead score if the customer has those fields configured. The Teamwork Leads pipeline becomes an Odoo Sales Team with a dedicated stage sequence. If the customer runs separate Leads and Opportunities pipelines simultaneously, we map each to its own Sales Team in Odoo.

Teamwork CRM

Opportunity

maps to

Odoo CRM

Lead (crm.lead, stage = opportunity stage)

1:many
Fully supported

Teamwork CRM Opportunities are distinct records in a separate pipeline from Leads. In Odoo, Opportunities are crm.lead records at an advanced pipeline stage rather than a separate object type. We map each Teamwork Opportunity to a crm.lead record in the corresponding Odoo Sales Team pipeline, preserving the deal name, monetary value, probability, close date, and stage label. The stage-to-Sales-Team mapping is defined during scoping so that each Teamwork pipeline resolves to a named Odoo Sales Team and stage order.

Teamwork CRM

Pipeline

maps to

Odoo CRM

Sales Team (crm.team)

lossy
Fully supported

Each named Teamwork CRM pipeline becomes an Odoo Sales Team. Odoo Sales Teams group leads by sales unit and provide team-level assignment rules and dashboards. We configure the team name, member list (from Odoo res.users mapped from Teamwork owners), and team-specific stage sequence. Stage order within each team maps from Teamwork's pipeline stage configuration.

Teamwork CRM

Pipeline Stage

maps to

Odoo CRM

Stage (crm.stage within crm.team)

lossy
Fully supported

Teamwork CRM pipeline stages (with custom names, sort order, and probability percentages) map to Odoo crm.stage records scoped to the relevant Sales Team. Probability percentages migrate to the stage's projected_revenue percentage field in Odoo. Stage name, sequence, and fold (whether the stage collapses in the Kanban view) are configured. We flag any deprecated or inactive Teamwork stages that the customer wishes to archive rather than import.

Teamwork CRM

Custom Fields

maps to

Odoo CRM

Custom Fields (ir.model.fields)

lossy
Mapping required

Teamwork CRM supports custom fields of type short text, integer, and dropdown only. We pre-create equivalent Odoo custom fields on the target model (res.partner for contact/company fields, crm.lead for deal fields) before any data import. Text custom fields map to Odoo Char or Text; integer maps to Integer; dropdown maps to Selection with the customer's option labels as the selection values. Multi-select, date, or boolean custom fields that the customer uses via Teamwork workarounds require manual Odoo field creation before migration begins.

Teamwork CRM

User

maps to

Odoo CRM

User (res.users)

1:1
Fully supported

Teamwork CRM Users (owners) map to Odoo res.users records resolved by email address match. Before migration begins, the customer provisions Odoo user accounts for every Teamwork user referenced on Contact, Company, Lead, Opportunity, or Activity record. Any Teamwork Owner without a matching Odoo User is held in a reconciliation queue. Active/inactive status in Teamwork maps to active boolean in Odoo res.users.

Teamwork CRM

Activity (Call, Meeting, Task)

maps to

Odoo CRM

Mail Activity (mail.activity)

1:1
Fully supported

Teamwork CRM Activities (calls, meetings, tasks) linked to Contacts or Opportunities map to Odoo mail.activity records. Activity type (call, meeting, task) maps to activity_type_id in Odoo; subject and description transfer as activity's summary and note fields. Date, due date, duration, and completion status preserve. Assignee maps from Teamwork owner_id to Odoo res.users via the User lookup. The related Odoo Partner or crm.lead record is set as res_id with the correct model.

Teamwork CRM

Note

maps to

Odoo CRM

Message (mail.message)

1:1
Fully supported

Teamwork CRM notes attached to Contacts or Opportunities migrate as Odoo mail.message records with message_type=comment. The message body carries the note text. We link the message to the correct Partner or crm.lead record via res_id and model. Note author maps to Odoo res.users via email lookup. Internal notes in Teamwork map to Odoo internal message subtype.

Teamwork CRM

Tag

maps to

Odoo CRM

Tags (crm.tag on crm.lead)

lossy
Fully supported

Teamwork CRM tags on Contacts and Opportunities map to Odoo crm.tag records. Tags are created once and linked via crm.lead.tag_ids on crm.lead records. For tags on Teamwork Contacts (mapped to Partner), Odoo does not have a native Partner tag model in standard CRM — we map those to a custom Char field partner_tag__c or to a Note record for searchability. The customer selects the preferred strategy during scoping.

Teamwork CRM

Custom Filter

maps to

Odoo CRM

Configuration reference (metadata only)

lossy
Fully supported

Teamwork CRM saved custom filters are workspace-level view configurations, not business data. We capture filter definitions (field conditions, operators, sort order) as a reference document delivered alongside the migration. The customer's Odoo admin rebuilds applicable filters in Odoo Studio. Custom filters do not carry as migratable data records.

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.

Teamwork CRM logo

Teamwork CRM gotchas

Medium

120 req/min API rate limit during extraction

Medium

CSV export only available in list view

Low

Known API bug with custom field value deletion

Low

Working hours absent for legacy user profiles

High

SSO unavailable on Pro tier

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

  • Lead and Opportunity are one object in Odoo

    Teamwork CRM maintains separate Lead and Opportunity objects in distinct pipelines; Odoo uses a single crm.lead model where a Lead converts to an Opportunity through an explicit Convert action. There is no separate Opportunity object in Odoo's standard CRM. We map each Teamwork pipeline to an Odoo Sales Team with its own stage sequence. Teamwork Opportunities land as Odoo crm.lead records at the appropriate stage in the mapped Sales Team. The customer must configure the lead-to-opportunity conversion flow in Odoo Studio post-migration if they want the explicit conversion action available in the UI.

  • CSV import only works for simple flat records

    Odoo's native CSV import handles flat field values well but drops stage assignments, many2one relationship lookups, and custom field values that reference Selection lists when imported incorrectly. The Teamwork CRM export generates CSV from list view only, and stage and owner references are stored as internal IDs that must be resolved to Odoo-compatible values before import. We always use the Odoo XML-RPC or csv import with a pre-validated mapping sheet rather than a raw CSV to preserve relational integrity.

  • Custom field types must be pre-created in Odoo

    Teamwork CRM custom fields of type short text, integer, and dropdown map to Odoo Char, Integer, and Selection respectively — but only if the Odoo fields exist before import. We pre-create all Teamwork custom fields in the target Odoo database during the configuration phase, with the correct field type and Selection options matching the Teamwork dropdown values. Fields not pre-created are silently skipped by Odoo's import, leaving customer data in custom fields unmigrated.

  • Partner is one model for two entity types

    Teamwork CRM separates Companies and Contacts as distinct objects with a 1:many relationship (one Company, many Contacts). Odoo uses a single Partner model (res.partner) where is_company=True marks an organization and is_company=False marks a person with a parent_id pointing to the company. We map Companies to Partner with is_company=True first, then Contacts with is_company=False and parent_id resolved to the Company Partner. Import ordering is Companies before Contacts; violations cause orphaned Contact records without a parent company.

  • Owner lookup fails if Odoo user does not exist

    Every Teamwork CRM record carrying an ownerId references a Teamwork User. In Odoo, that field resolves to res.users.id. If the customer has not provisioned Odoo user accounts for all Teamwork owners before migration begins, the owner_id reference resolves to null and records appear unassigned in Odoo. We extract the full list of Teamwork owner IDs before migration, match by email against the Odoo res.users table, and surface any missing users as a prerequisite action item.

Migration approach

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

  1. Discovery and field inventory

    We audit the source Teamwork CRM portal for record volumes (Contacts, Companies, Leads, Opportunities), active pipelines and stages, custom field definitions with types and option values, owner list, activity count by type (calls, meetings, tasks), and any tag taxonomy. We pair this with an Odoo environment assessment: edition (Community vs Enterprise), existing Partner records, Sales Teams, stage definitions, and installed modules. The discovery output is a written migration scope document listing all objects to migrate, the Odoo field pre-creation checklist, the pipeline-to-Sales-Team mapping matrix, and any records that require manual review before import.

  2. Schema preparation and Odoo field pre-creation

    We pre-create all Teamwork CRM custom fields in the target Odoo database before any data import begins. This includes Char fields for Teamwork text custom fields, Integer fields for number fields, and Selection fields with matching option labels for dropdown fields. We also create the Sales Teams (crm.team) with stage sequences matching the Teamwork pipeline-stage configuration. Custom fields not pre-created are silently skipped by Odoo's import; this step is a migration prerequisite, not an optional optimization.

  3. Owner reconciliation and Odoo user provisioning

    We extract every distinct Teamwork CRM owner referenced across Contact, Company, Lead, Opportunity, and Activity records and match by email against the Odoo destination res.users table. Owners without a matching Odoo user go to a prerequisite list for the customer's Odoo admin to provision before record migration resumes. This step gates the entire migration because OwnerId is required on most standard CRM objects in Odoo.

  4. Staging migration and data reconciliation

    We run a full migration into the Odoo staging environment using production-equivalent data volume. The customer reconciles record counts (Partners in, Leads in, stage distribution), spot-checks 25-50 records against the Teamwork CRM source, and confirms field mapping accuracy before production migration is authorized. Any field type corrections, stage mapping adjustments, or missing custom fields are resolved in staging. This prevents import errors in production that would require a re-import cycle.

  5. Production migration in dependency order

    We execute production migration in the following order: Companies (Partner with is_company=True), then Contacts (Partner with is_company=False and parent_id resolved to the Company Partner), then Leads (crm.lead), then Opportunities (crm.lead in the opportunity-stage Sales Team). Activities (calls, meetings, tasks) migrate via the Odoo XML-RPC API with mail.activity records resolved against the parent Partner or crm.lead by external ID. Notes migrate as mail.message records. Each phase emits a row-count reconciliation report before the next phase begins. Teamwork's 120 req/min API rate limit is monitored throughout extraction.

  6. Cutover, validation, and automation inventory handoff

    We freeze Teamwork CRM writes during the cutover window, run a final delta migration of any records modified during the migration window, then set Odoo CRM as the system of record. We deliver the Workflow and Automation Inventory document listing every Teamwork CRM workflow rule and custom filter with the equivalent Odoo Automated Action or Studio filter configuration for the customer's admin to rebuild. We support a one-week hypercare window for reconciliation issues. We do not rebuild Teamwork CRM workflows as Odoo automated actions within the migration scope; that is a separate engagement.

Platform deep dives

Context on both ends of the pair

Teamwork CRM logo

Teamwork CRM

Source

Strengths

  • Clean, visual pipeline interface with board and list views that sales teams adopt without dedicated training.
  • Configurable pipelines and stages are available on the standard Pro tier without feature gating.
  • Custom fields (text, number, dropdown) are available without requiring an Enterprise plan.
  • Strong bundling with Teamwork Projects and Desk creates a unified work stack for agencies and client-service firms.
  • Gmail add-on and Zapier integration provide basic email and automation connectivity on both pricing tiers.

Weaknesses

  • No native support for file or email attachments on Contact records — a frequently cited gap in G2 and Capterra reviews.
  • No Office 365 integration, limiting adoption in Microsoft-dominant enterprise environments.
  • Custom field types are restricted to short text, integer, and dropdown — multi-select, date, and boolean custom fields require workarounds.
  • Single sign-on (SSO) is gated behind the Enterprise tier, creating a security friction point for larger teams evaluating the platform.
  • API lacks a formal bulk or batch import endpoint; data migration relies on CSV list-view exports with manual column selection.
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 Teamwork 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

    Teamwork CRM: 120 requests per minute per organization.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Teamwork 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 Teamwork CRM to Odoo CRM data migrations

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

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Migrations land between three and five weeks for accounts under 15,000 Contacts and 3,000 Deals with two pipelines and no custom objects. Migrations with multiple pipelines, custom objects, large activity histories, or an Odoo ERP deployment alongside CRM move to eight to twelve weeks because of schema design, Sales Team and stage configuration, and the Odoo custom field pre-creation required before any data import begins. The Odoo field pre-creation step alone requires one to two weeks of configuration work before the first record can be imported.

Adjacent paths

Related migrations to explore

Ready when you are

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