CRM migration

Migrate from Salesforce Sales Cloud to Odoo CRM

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

94%

15 of 16

objects map 1:1 between Salesforce Sales Cloud and Odoo CRM.

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Try the reverse

Odoo CRM
Salesforce Sales Cloud

Overview

What this migration involves

Moving from Salesforce Sales Cloud to Odoo CRM is an ERP-first migration, not a like-for-like CRM replacement. Salesforce stores data in a relational object graph with REST, Bulk, and Composite APIs; Odoo uses a Python/PostgreSQL model where CRM (crm.lead), Contacts (res.partner), and Accounts (res.partner in company mode) share the same partner table under different contexts. We resolve the Account-Contact distinction explicitly — Salesforce keeps Accounts and Contacts as separate objects with a junction table; Odoo models the same entity as a res.partner record with a contact_type flag. We extract Salesforce data via the Bulk API with batch pacing against the 15,000-batch daily quota, clean and transform records in staging, and load them into Odoo through its native XML/CSV import or the XML-RPC API. Apex triggers, Visualforce pages, and Salesforce Flow automations do not migrate as code — we deliver a written map of every active trigger and workflow with an Odoo automated action or Python module equivalent for the customer's functional team to rebuild 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

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pushing teams away

  • The sticker price is a fraction of the actual cost: storage overages run $125/GB, Agentforce conversations are $2 each, and annual uplift is 8–10% on renewal.
  • Admin configuration is non-trivial; teams without a dedicated Salesforce admin spend disproportionate time on maintenance and lose productivity on a platform that resists shortcuts.
  • Workflow Rules and Process Builder are retired features requiring mandatory migration to Flow before Salesforce decommissions them, creating a forced rework project.
  • Hidden costs accumulate: Sales Engagement, Sales Programs, Salesforce Maps, and other add-ons that enterprise teams need are not included in the base per-seat price.
  • Complexity and licensing cost drive mid-market companies to simpler CRMs with faster time-to-value and transparent pricing.

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 Salesforce Sales Cloud objects map to Odoo CRM

Each row shows how a Salesforce Sales Cloud 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.

Salesforce Sales Cloud

Account

maps to

Odoo CRM

res.partner (contact_type = company)

1:1
Fully supported

Salesforce Account maps to Odoo res.partner with contact_type = company. The Account Name becomes the partner's name, Industry maps to industry_id, Type maps to customer_rank (1 for customer, 0 otherwise), and Annual Revenue maps to a custom float field. Parent-Account hierarchies in Salesforce become parent_id on res.partner — we import top-level Accounts first, then resolve parent_id for child Accounts in a second pass. Account Team Members are handled as a separate pass against crm.team membership.

Salesforce Sales Cloud

Contact

maps to

Odoo CRM

res.partner (contact_type = contact)

1:1
Fully supported

Salesforce Contact maps to Odoo res.partner with contact_type = contact. The contact's Name, Email, Phone, Title, and Department migrate directly. AccountId maps to parent_id on the res.partner, establishing the company-contact hierarchy in Odoo. The AccountContactRelation junction (many-to-many) maps to a separate pass creating additional parent_id records or child contacts under each related Account — we import all Contacts after parent Accounts are committed.

Salesforce Sales Cloud

Lead

maps to

Odoo CRM

crm.lead

1:1
Fully supported

Salesforce Lead maps to Odoo crm.lead (in pipeline mode, not the merged lead/opportunity model). LeadSource, Status, Rating, and AnnualRevenue map directly to crm.lead source_id, stage_id, priority, and planned_revenue. Any custom Lead fields migrate to custom Char, Float, or Selection fields on crm.lead. Converted Leads in Salesforce create Account + Contact + Opportunity — in Odoo, the same lifecycle maps to a single crm.lead that moves through stages to won/lost with a linked partner_id (from the Account) and an optional sale_order_id (from the converted Opportunity).

Salesforce Sales Cloud

Opportunity

maps to

Odoo CRM

crm.lead (won/lost stage) or sale.order

1:many
Fully supported

Salesforce Opportunity maps to Odoo crm.lead for pipeline tracking and sale.order for active quotes and orders. StageName maps to crm.lead stage_id with probability percentages preserved. Amount maps to planned_revenue. Close Date maps to date_deadline. When an Opportunity reaches Closed-Won in Salesforce, we create an Odoo sale.order carrying the same account, partner, amount, and line items. When it reaches Closed-Lost, we set the stage to Odoo's lost stage with a lost_reason field populated from Salesforce's Loss Reason.

Salesforce Sales Cloud

Opportunity Product / Price Book Entry

maps to

Odoo CRM

product.product / product.pricelist

1:1
Fully supported

Salesforce Products (Product2) map to Odoo product.product with a product_tmpl_id link. Standard Price Book maps to Odoo product.pricelist with price list items migrated as product.pricelist.item records. Opportunity Line Items map to sale.order.line with price, quantity, and discount preserved. Pricebook2Id on the Opportunity resolves to the correct product.pricelist on the sale.order.

Salesforce Sales Cloud

Case

maps to

Odoo CRM

helpdesk.ticket

1:1
Fully supported

Salesforce Case maps to Odoo helpdesk.ticket (a module within the Odoo suite). Case Status maps to ticket stage_id, Priority maps to priority, Origin maps to category_id or a custom selection field, and the ContactId maps to the res.partner created from the original Contact. Cases with open Tasks or Events have those Activities migrated separately as Odoo mail.message or project.task records linked to the ticket. If the customer does not activate the helpdesk module, Cases map to project.task as an alternative.

Salesforce Sales Cloud

Campaign

maps to

Odoo CRM

marketing.campaign

1:1
Fully supported

Salesforce Campaign maps to Odoo marketing.campaign. Campaign Name, Budget, Status, Type, and StartDate/EndDate migrate directly. Campaign Members (Contacts and Leads who responded) map to marketing.utm.mixin records linked to the campaign, preserving Member Status (Sent, Responded, Handled). Campaign Member custom fields migrate to custom fields on marketing.utm.mixin.

Salesforce Sales Cloud

Contract

maps to

Odoo CRM

account.move / contract.contract

1:1
Fully supported

Salesforce Contract maps to Odoo account.move (for posted invoices) or contract.contract (for recurring billing if the customer activates Odoo's Contract module). Contract Start Date, End Date, Term, Status, and the linked AccountId map directly. Contract Line Items map to account.move.line records. If the customer uses Odoo Subscription Management, Contracts map to sale.subscription instead, preserving recurring_price and recurring_rule_type.

Salesforce Sales Cloud

Order

maps to

Odoo CRM

sale.order

1:1
Fully supported

Salesforce Order maps to Odoo sale.order. Order Status, Effective Date, and the linked AccountId and ContractId migrate directly. Order Products map to sale.order.line. If the Salesforce org uses Advanced Order Management or Revenue Cloud, order lineage is more complex — we scope this during the pre-migration audit and flag any non-standard Order-to-Opportunity linkage as a configuration item.

Salesforce Sales Cloud

Asset

maps to

Odoo CRM

stock.production.lot

1:1
Fully supported

Salesforce Asset maps to Odoo stock.production.lot (serialized inventory tracking) or maintenance.equipment (for equipment under service contracts). Asset Name, SerialNumber, Status, InstallDate, Quantity, and the linked AccountId and ContactId migrate. If the asset links to a Product, we resolve the product.product reference. Assets created automatically from Contracts or Orders require those parent records in Odoo first.

Salesforce Sales Cloud

Task

maps to

Odoo CRM

mail.message / project.task

1:1
Fully supported

Salesforce Task maps to Odoo mail.message (as a log note on the related record) or project.task (if the task is tracked work). Task Subject, Status, Priority, ActivityDate, and Description migrate. WhoId (Lead or Contact) resolves to the migrated res.partner record; WhatId (Account, Opportunity, Case) resolves to the migrated parent record. Open tasks with completed = false in Salesforce map to project.task with kanban_state = blocked; completed tasks map as mail.message records on the timeline.

Salesforce Sales Cloud

Event

maps to

Odoo CRM

calendar.event

1:1
Fully supported

Salesforce Event maps to Odoo calendar.event. Event Subject, StartDateTime, EndDateTime, Duration, Location, and Description migrate directly. Event attendees map to calendar.attendee records linked to the event, with each attendee resolved to a res.partner (User or Contact). Recurring Events in Salesforce map to Odoo calendar.recurrence records with the same recurrence rule.

Salesforce Sales Cloud

Custom Object

maps to

Odoo CRM

ir.model / custom model

1:1
Fully supported

Salesforce Custom Objects (API name ending in __c) map to Odoo custom models defined via the Settings > Technical > Models interface or as Python classes in a custom module. We create the Odoo model with all custom fields (Char, Float, Date, Many2one, etc.) before any data import. Custom Object relationships (lookup fields) map to Odoo Many2one fields pointing to the correct res.partner, crm.lead, or custom model. Validation rules and required-field constraints are replicated as Odoo Python constraints.

Salesforce Sales Cloud

Account Team Member

maps to

Odoo CRM

crm.team membership

1:1
Fully supported

Salesforce Account Team Members (AccountTeamMember) assign a UserId to an AccountId with a TeamRole. We import these after both Account and User records exist in Odoo. Each team member maps to res.users (for Odoo internal users) or res.partner (for external collaborators) added to crm.team with the TeamRole mapped to a custom field or a group assignment in Odoo's access control system.

Salesforce Sales Cloud

Opportunity Team Member

maps to

Odoo CRM

crm.lead / crm.team assignment

1:1
Fully supported

Salesforce Opportunity Team Members assign a UserId to an OpportunityId with a TeamMemberRole. We import these after the crm.lead record exists. Each team member maps to a record in crm.team.member linked to the crm.lead, with the TeamMemberRole preserved as a custom selection field on the membership record.

Salesforce Sales Cloud

User

maps to

Odoo CRM

res.users

1:1
Fully supported

Salesforce User records map to Odoo res.users. We resolve by email match. Active status, Username, FirstName, LastName, Title, and the Salesforce profile name (mapped to Odoo groups) migrate. A Salesforce User without a matching Odoo res.users is held in a reconciliation queue for the customer's Odoo admin to provision before record migration continues, because OwnerId references on Opportunities and Leads require a valid res.users.

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.

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

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

  • Apex triggers and Visualforce pages have no Odoo equivalent and require full rewrite

    Salesforce custom logic written in Apex (triggers, classes, REST endpoints) and Visualforce pages cannot be imported into Odoo. Odoo runs Python server-side and uses QWeb for web views — a fundamentally different architecture. We document every active Apex trigger, its object, its conditions, and its side effects as a written handoff item. The customer's Odoo developer or functional consultant rebuilds each trigger as an Odoo ir.actions.server automated action or a custom Python method on the relevant model. Custom REST endpoints in Apex have no Odoo equivalent without custom development on the Odoo XML-RPC or JSON-RPC API layer. This rewrite work falls outside our standard migration scope.

  • Salesforce Workflow Rules and Process Builder require redesign, not translation

    Salesforce Workflow Rules and Process Builder automations (field updates, email alerts, outbound messages, task creation, approval processes) do not map to Odoo automated actions on a field-to-field basis. Odoo's Automated Actions (ir.actions.server) handle record-triggered and time-based logic but use a different event model, action set, and delay syntax. We audit every active Workflow Rule and Process Builder process during scoping, document each automation's trigger object, conditions, and actions, and deliver a written inventory with an Odoo equivalent recommendation. The customer's functional team or Odoo partner rebuilds each automation in Odoo's Automation app post-migration. We do not implement Odoo workflows as part of the data migration scope.

  • The Salesforce Account-Contact model diverges from Odoo's res.partner hierarchy

    Salesforce keeps Accounts (companies) and Contacts (people) as separate objects with a many-to-many AccountContactRelation junction table. Odoo uses a single res.partner table where contact_type = company represents an organization and contact_type = contact represents a person linked via parent_id. A Contact with multiple Account relationships in Salesforce maps to one primary res.partner (the person) plus additional child res.partner records under each related company partner, or to a res.partner with multiple parent_id records if Odoo's contacts_multi_company setting is enabled. We handle this as a two-pass import after Accounts are committed.

  • Odoo reporting uses a different paradigm from Salesforce reports and Einstein

    Salesforce reports offer cross-object reporting, joined reports, matrix reports, and bucket fields — plus Einstein Analytics for predictive dashboards. Odoo uses its own reporting engine (based on PostgreSQL queries exposed through the web interface) and Odoo BI for more advanced analytics. Historical Salesforce reports do not migrate. We deliver a written inventory of every active Salesforce Report and Dashboard with its object joins, filters, and chart type so the customer's Odoo functional consultant can rebuild equivalent reports in Odoo or Odoo BI. Einstein AI scoring models do not migrate — lead scoring in Odoo must be rebuilt using Odoo's Scoring System or a custom Python rule.

  • User permissions model has different granularity between platforms

    Salesforce profiles and permission sets map to Odoo groups (access rights on the Settings > Users > Access Rights panel). Salesforce field-level security has no direct Odoo equivalent — Odoo uses group-level read/write/create/unlink rights per model. A Salesforce profile with read-only access on a field grants visibility only to permitted users; Odoo would grant the same access through a group with field-level access restrictions set on the form view. We document the Salesforce profile-permission set matrix during scoping and provide a written group-permission mapping for the customer's Odoo admin to configure before user onboarding.

Migration approach

Six steps for a successful Salesforce Sales Cloud to Odoo CRM data migration

  1. Discovery and Odoo edition selection

    We audit the source Salesforce org across edition (Starter through Agentforce 1 Sales), active Custom Objects, active Workflow Rules and Process Builder processes, Apex triggers, installed packages, API usage volume, and record counts per object. We pair this with an Odoo edition decision: Community (free, self-hosted or Odoo Online free tier) covers core CRM and Sales; Enterprise ($31-$100 per user per month) is required for the Studio interface, automated actions, and the full helpdesk, project, and accounting modules; Online ($100 per user per month) provides Odoo-hosted infrastructure. The discovery output is a written migration scope with object inventory, a complexity assessment, and an Odoo edition recommendation.

  2. Schema design and Odoo model provisioning

    We design the destination schema in Odoo. This includes activating the relevant modules (CRM, Contacts, Sales, Helpdesk, Project, Inventory, Accounting depending on scope), creating custom fields on res.partner and crm.lead to receive migrated Salesforce custom fields, configuring pipeline stages to match the source Opportunity stages, setting up sale teams to map to Salesforce Territories, and defining the res.partner contact_type hierarchy (company vs. contact) with parent_id linkage. We deploy to a staging Odoo database first. Any Salesforce Custom Object gets a corresponding Odoo model created via Settings > Technical > Models before any data import begins.

  3. Data extraction from Salesforce

    We extract Salesforce data using the Bulk API 2.0 with batch pacing against the 15,000-batch daily quota and exponential backoff on concurrent-request limits. Data extraction runs in dependency order: Users first (by email), then Accounts, then Contacts (with AccountId resolved), then Leads, then Opportunities, then Products and Price Book Entries, then Cases, then Campaigns, then Activity history. Custom Objects extract last because they often contain lookups to standard objects. We run a pre-extraction data audit to identify duplicates, missing required fields, and inactive OwnerId references, and we address these before extraction begins rather than during import.

  4. Data cleansing, transformation, and staging import

    We transform Salesforce data into Odoo's import format (CSV with XML-RPC load or direct database injection for large volumes). Key transformations include: splitting Salesforce Account and Contact into res.partner records with contact_type differentiation; converting Salesforce Lead to crm.lead in pipeline mode; mapping Opportunity Stage to crm.lead stage_id; resolving Owner email to res.users id; converting Salesforce dates to Odoo's datetime format; and mapping picklist values to Odoo selection fields or many2one relationships. We run a staging import into the staging Odoo database and deliver a reconciliation report (record counts per object, field coverage percentage, null rate on required fields) before proceeding.

  5. Production migration in dependency order with parallel testing

    We run production migration in the same dependency order used for extraction: Users (manually provisioned in Odoo, validated), Accounts (res.partner, contact_type=company), Contacts (res.partner, contact_type=contact with parent_id to Account), Leads (crm.lead), Opportunities (crm.lead with won/lost stage handling), Price Book Entries and Products, Cases (helpdesk.ticket), Campaigns and Campaign Members, Activity history (mail.message, calendar.event), and Custom Objects. Each phase emits a row-count reconciliation report before the next phase begins. We do not import Attachments as binary blobs — we deliver a written inventory of ContentDocument records with their links for the customer's admin to re-attach post-migration.

  6. Cutover, validation, and automation rebuild handoff

    We freeze Salesforce writes during cutover, run a final delta migration of any records modified during the migration window, then enable Odoo as the system of record. We deliver the Apex trigger and Workflow Rule inventory document with Odoo automated action equivalents to the customer's functional team. We do not rebuild Apex triggers as Python modules, Workflow Rules as Odoo automated actions, or Visualforce pages as QWeb views within the migration scope — these are separate engagements. We support a one-week hypercare window where we resolve any record-reconciliation issues raised by the customer's team.

Platform deep dives

Context on both ends of the pair

Salesforce Sales Cloud logo

Salesforce Sales Cloud

Source

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.
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. 1 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 Salesforce Sales Cloud and Odoo CRM.

  • Object compatibility

    B

    1 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

    Salesforce Sales Cloud: 100,000 daily API requests base for Enterprise, plus 1,000 requests per user license; concurrent long-running requests capped at 25; individual call timeout 10 minutes.

  • Data volume sensitivity

    A

    Salesforce Sales Cloud exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Salesforce Sales Cloud 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 Salesforce Sales Cloud to Odoo CRM data migrations

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

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Most migrations land between four and six weeks for organizations under 25,000 Accounts, 50,000 Contacts, and 5,000 Opportunities with no Custom Objects and no active Apex triggers. Migrations with Custom Objects, large Activity histories (over 200,000 Task and Event records), active Workflow Rules requiring documentation, or multiple Salesforce Clouds (Sales Cloud + Service Cloud) move to ten to sixteen weeks because of the data volume, transformation complexity, and the additional Odoo configuration scope.

Adjacent paths

Related migrations to explore

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