CRM migration

Migrate from Bloomr to Odoo CRM

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

Bloomr logo

Bloomr

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

67%

10 of 15

objects map 1:1 between Bloomr and Odoo CRM.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Bloomr to Odoo CRM is a migration from a minimal, small-team CRM with no public API documentation to a full-stack open-source platform with a mature REST API. Bloomr stores Contacts, Companies, Deals, Activities, and any custom fields in a schema that requires live API exploration to confirm endpoint availability and pagination behavior before extraction begins. Odoo CRM uses a crm.lead model that conflates leads and opportunities with a type field, a res.partner record that serves as both contact and company depending on address book context, and a crm.lead.team field for pipeline ownership. We resolve the Bloomr-to-Odoo schema mapping during data profiling, map deal stages to Odoo stage names and probabilities, and preserve custom field values in Odoo custom fields post-migration. Workflows, automations, and any file attachments are not migratable from Bloomr under standard scope; we deliver a written audit template so the customer's Odoo admin can rebuild automations in Odoo's built-in Automations or Server Actions module.

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

Bloomr logo

Bloomr

What's pushing teams away

  • Limited platform recognition — very few third-party reviews or community discussions make independent validation difficult.
  • No documented API — absence of public API documentation concerns technical teams about export and integration capability.
  • Scalability uncertainty — no visible enterprise tier or multi-user feature set in public materials.
  • Support responsiveness — a minority of G2 reviewers cite delays or limited support options.
  • Integration ecosystem unclear — no documented connections to common tools like Zapier, Make, or Outlook.

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 Bloomr objects map to Odoo CRM

Each row shows how a Bloomr 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.

Bloomr

Contact

maps to

Odoo CRM

res.partner

1:1
Fully supported

Bloomr Contacts map to Odoo res.partner records. The mapping uses name, email, phone, and any custom fields discovered during profiling as direct field-to-field transfers. In Odoo, res.partner serves as both individual contact and organization depending on the is_company flag; we set this to False for person-type records and resolve any company affiliation through Bloomr's Company association. Address fields (street, city, state, zip, country) map to partner fields directly if present in Bloomr's schema. The Bloomr contact ID is preserved in a custom Char field x_bloomr_id for dedupe and audit purposes.

Bloomr

Company/Account

maps to

Odoo CRM

res.partner (is_company=True)

1:1
Fully supported

Bloomr Companies map to Odoo res.partner records with is_company set to True. Fields including company name, domain, industry, size, and address map to their Odoo equivalents (name, website, industry_id, employee_size, street, city, state_id, country_id). Custom company properties discovered during Bloomr profiling become custom fields on the res.partner model using Odoo's Studio or direct ir.model.fields creation. Parent-company hierarchy in Bloomr maps to Odoo's parent_id field on res.partner for subsidiary relationships.

Bloomr

Deal/Opportunity

maps to

Odoo CRM

crm.lead

1:1
Fully supported

Bloomr Deals map to Odoo crm.lead records with type set to opportunity. The deal name becomes crm.lead.name, deal value maps to planned_revenue, and stage maps to stage_id with Odoo stage probability applied from Bloomr's stage configuration. Owner assignment maps from Bloomr owner ID to Odoo user_id on crm.lead. Expected close date maps to date_deadline. Bloomr's deal-to-contact association maps to Odoo's partner_id on crm.lead (the primary contact) and partner_mobile/phone for contact details. We preserve the original Bloomr deal ID in x_bloomr_deal_id.

Bloomr

Deal Stage

maps to

Odoo CRM

crm.lead.stage

lossy
Fully supported

Each Bloomr deal stage maps to an Odoo crm.lead.stage record created in the destination database before migration. Stage name and sequence order migrate directly. Probability percentage per stage migrates to Odoo's stage probability field, rounded to the nearest integer per Odoo's field type. If Bloomr stages include custom fields (closed-won reason, closed-lost reason), we create corresponding custom fields on crm.lead and migrate values during the Deal phase.

Bloomr

User/Team Member

maps to

Odoo CRM

res.users

1:1
Fully supported

Bloomr Users map to Odoo res.users records. We resolve Bloomr owner assignments on Deals, Contacts, and Activities by matching the Bloomr user email to the Odoo res.users login. Any Bloomr user without a matching Odoo user is held in a reconciliation queue; the customer's Odoo admin provisions missing users before the migration proceeds. Role and permission data from Bloomr maps to Odoo access groups and record rules if the customer has Odoo Access Controls enabled beyond the default.

Bloomr

Activity/Call

maps to

Odoo CRM

crm.phonecall

1:1
Fully supported

Bloomr activity records of type call map to Odoo crm.phonecall. We use Odoo's crm_phone module (part of the CRM app) or the base phone module if installed. Call duration, disposition, and timestamp map to duration, state, and date_created on crm.phonecall. The phonecall is linked to the resolved res.partner (contact) via the partner_id field. If the crm.phonecall model is not available in the customer's Odoo version, call records migrate to crm.lead activity history as a note with custom fields capturing duration and disposition.

Bloomr

Activity/Meeting

maps to

Odoo CRM

calendar.event

1:1
Fully supported

Bloomr meeting activities map to Odoo calendar.event records. Subject maps to name, start and end time map to start_datetime and stop_datetime, and location maps to location. Attendees (Bloomr contacts associated with the meeting) map to calendar.attendee records linked to the event. We preserve the Bloomr meeting description as the event description. If the customer does not have Odoo's calendar module activated, meetings migrate as notes attached to the related crm.lead or res.partner.

Bloomr

Activity/Email

maps to

Odoo CRM

mail.message

1:1
Fully supported

Bloomr email engagement records map to Odoo mail.message records linked to the resolved crm.lead or res.partner via model and res_id. Email subject maps to subject, body to body (HTML preserved), and timestamp to date. The author is resolved to a res.partner record; if the sender email has no matching partner, we create a one-off partner record for the author. Odoo's mail.thread mechanism threads messages by parent_id if a reply-to message_id is present in Bloomr's data.

Bloomr

Activity/Task

maps to

Odoo CRM

project.task or crm.lead

1:1
Fully supported

Bloomr task activities map to project.task if the customer has Odoo Project installed, or to crm.lead activity history if only CRM is active. Task subject maps to name, due date maps to date_deadline, status maps to stage_id or state, and assignment maps to user_id. Description migrates as body text. If the task has a Bloomr deal association, we link the Odoo task to the corresponding crm.lead record via the project_id and task_id relationship or a direct many2one field if Project is not installed.

Bloomr

Custom Fields (on Contact)

maps to

Odoo CRM

Custom fields on res.partner

lossy
Fully supported

Bloomr custom fields on Contacts map to Odoo custom fields on res.partner created before migration via ir.model.fields or Odoo Studio. Field type mapping follows Odoo's field types: text fields become char or text, numeric fields become float or integer, date fields become date, checkbox fields become boolean. Selection fields from Bloomr map to Odoo selection fields with the same option values. We preserve the Bloomr custom field name as the Odoo field label with x_bloomr_cf_ prefix on the technical field name.

Bloomr

Custom Fields (on Company)

maps to

Odoo CRM

Custom fields on res.partner (company context)

lossy
Fully supported

Bloomr custom fields on Companies map to Odoo custom fields on res.partner (is_company=True) using the same type-mapping logic as Contact custom fields. We scope custom field creation to the res.partner model and set the applies_to context to company-type records during field definition to avoid confusion with individual contact records. Any company-specific taxonomy (industry classification, employee range, annual revenue) that has no Odoo equivalent is created as a custom field.

Bloomr

Custom Fields (on Deal)

maps to

Odoo CRM

Custom fields on crm.lead

lossy
Fully supported

Bloomr custom fields on Deals map to Odoo custom fields on crm.lead. We create the fields before the Deal migration phase begins, using Odoo's field type system (selection, char, text, float, integer, date, boolean) to match Bloomr's field types discovered during profiling. Lookup relationships from Bloomr custom fields (e.g., a custom field referencing a Contact or Company) map to Odoo many2one fields if the related model exists in the destination database.

Bloomr

Attachments/Files

maps to

Odoo CRM

ir.attachment

1:1
Not supported

Attachment handling in Bloomr is not confirmed through any documented API or export mechanism. We do not include attachment migration in the standard scope. If live API exploration during data profiling confirms attachment endpoint availability, pagination behavior, and file access, we revise scope to include ir.attachment migration linked to the parent res.partner, crm.lead, or related record via res_model and res_id. Until confirmed, we flag this as out-of-scope and recommend manual UI export from Bloomr for any critical attachments.

Bloomr

Workflows/Automations

maps to

Odoo CRM

None (not migratable)

1:1
Not supported

Bloomr workflow rules, automation triggers, and sequence configurations are not accessible via any documented export endpoint. We cannot migrate automated workflows as structured data. We deliver a workflow audit template during scoping that captures Bloomr workflow name, trigger conditions, actions, and sequence order for the customer's Odoo admin to rebuild in Odoo's Automations module (available from the base CRM app) or via Studio-based server actions and automated actions. This is an out-of-scope item disclosed in the migration agreement before engagement.

Bloomr

Tags/Labels

maps to

Odoo CRM

crm.tag or res.partner.category

lossy
Fully supported

Bloomr tags on Contacts and Companies map to Odoo crm.tag records for deal tagging and res.partner.category for contact/company categorization. Tags are stored as many2many relationships; we create the tag records in Odoo before migration and link them via the appropriate many2many field (tag_ids on crm.lead, category_id on res.partner). The customer chooses during scoping whether to use crm.tag, partner category, or a custom multi-select field for their tagging strategy.

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.

Bloomr logo

Bloomr gotchas

High

No publicly documented API or export endpoints

High

Workflow and automation data is not exportable

Medium

Attachment and file storage access is unconfirmed

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

  • Bloomr has no publicly documented API schema

    The most critical migration risk is Bloomr's absence of public API documentation. We cannot confirm endpoint availability, authentication method, pagination behavior, or rate limits without live API exploration at the start of engagement. If the API is inaccessible or returns only partial data, the migration falls back to manual CSV export from the Bloomr UI, which limits record selection and may not include custom fields or activity history. We test API access before committing to a migration timeline and adjust scope accordingly.

  • Odoo crm.lead conflates leads and opportunities

    Odoo's crm.lead model uses a type field to distinguish between lead and opportunity rather than separate objects. Bloomr's Deals object maps to crm.lead with type=opportunity, but any Bloomr records that represent unqualified prospects (pre-sale contacts) require a decision during scoping: they map to crm.lead with type=lead, or they are treated as res.partner contact records without deal association. We define this split during schema design and document the mapping rationale for the customer's Odoo admin.

  • Bloomr custom fields require live discovery before mapping

    Bloomr custom field names, types, and applies-to objects are not publicly documented. We discover them during the data profiling phase using API exploration or UI inspection. Any custom field mapping strategy must wait for this discovery output. Custom fields on standard objects (Contacts, Companies, Deals) map to Odoo custom fields on res.partner or crm.lead; custom fields on other objects may not have a direct Odoo equivalent and require either a custom field creation or a reclassification decision with the customer.

  • File attachment access from Bloomr is unconfirmed

    File attachments linked to contacts, deals, or activities in Bloomr cannot be confirmed as accessible via any export mechanism. We do not include attachment migration in the standard scope. If Bloomr's API exposes attachment endpoints during data profiling, we revise scope to include ir.attachment migration. Until confirmed, any critical attachments must be exported manually from the Bloomr UI and re-uploaded to Odoo after cutover.

  • Odoo multi-company setup requires explicit scope

    If the customer uses or plans to use Odoo's multi-company feature (where records are scoped to a specific company_id), we must configure the company field on res.partner, crm.lead, and related objects before migration begins. Bloomr has no concept of multi-company separation, so all records map to a single default company unless the customer specifies otherwise. We confirm multi-company intent during scoping and set company_id on all records accordingly.

Migration approach

Six steps for a successful Bloomr to Odoo CRM data migration

  1. Live API profiling and data audit

    We begin every Bloomr engagement by probing the live API to confirm authentication method (API key, OAuth, or session-based), available endpoints for Contacts, Companies, Deals, Activities, and custom objects, pagination behavior, rate limits, and any file attachment endpoints. If the API is inaccessible, we document the manual CSV export path from the Bloomr UI and flag any fields or records not covered by export. The profiling output is a written data inventory: object counts, custom field list, activity volume, and API accessibility assessment. This phase takes one to two weeks and must complete before a migration timeline is committed.

  2. Schema design and custom field provisioning

    We design the Odoo destination schema before any data extraction. This includes creating custom fields on res.partner (for Contact and Company custom properties), crm.lead (for Deal custom properties), and crm.lead.stage (for stage-level custom data). We create the crm.tag records for any Bloomr tags and configure the crm.team records for pipeline ownership if Odoo's team selling is active. Schema is deployed into a staging Odoo database first. We define the Lead versus Opportunity split strategy during this phase based on Bloomr's data distribution and the customer's sales process.

  3. Staging migration and reconciliation

    We run a full migration into a staging Odoo environment using production-like data volume. The customer's Odoo admin or RevOps lead reviews record counts (Contacts in, Companies in, Deals in, Activities in), spot-checks 25-50 random records against the Bloomr source for field accuracy, and validates that custom fields populated correctly. We resolve any mapping corrections and re-run the staging migration until reconciliation passes. This step prevents schema or mapping corrections from happening in the production environment and typically takes one to two weeks depending on record volume.

  4. Owner and user reconciliation

    We extract every distinct Bloomr owner referenced on Deals, Contacts, and Activities and match by email against the Odoo destination's res.users table. Any Bloomr owner without a matching Odoo user is held in a reconciliation queue. The customer's Odoo admin provisions missing users (active or inactive based on whether the original Bloomr user is still employed) before production migration begins. OwnerId references on crm.lead and res.partner are required for Odoo's activity assignment tracking; migration cannot complete past this step without resolved owner mapping.

  5. Production migration in dependency order

    We run production migration in record-dependency order: res.partner records for Companies first (with is_company=True), res.partner records for Contacts second (with is_company=False and parent_id resolved to the company record), crm.lead.stage configuration records, crm.lead for Deals (with partner_id, user_id, and stage_id resolved), crm.tag records for tag migration, activity history (crm.phonecall, calendar.event, mail.message, project.task) last because they reference parent records. Each phase emits a row-count reconciliation report. Custom field population is validated per phase before proceeding.

  6. Cutover, validation, and workflow rebuild handoff

    We freeze Bloomr write access 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 Bloomr workflow audit template (completed during discovery) to the customer's Odoo admin team, documenting each Bloomr automation with trigger, conditions, and recommended Odoo Automation or Server Action equivalent. We support a one-week hypercare window for reconciliation issues. Workflow rebuilds, sequence reconfiguration, and Odoo Studio customization beyond field creation are outside standard scope and require a separate engagement.

Platform deep dives

Context on both ends of the pair

Bloomr logo

Bloomr

Source

Strengths

  • Targets small sales teams and side-job use cases with a low-cost entry tier.
  • Covers fundamental CRM objects — contacts, accounts, deals, activities — for basic pipeline management.
  • Free Starter plan available for teams evaluating CRM fit without upfront commitment.
  • Simple enough for non-technical users to navigate without dedicated admin support.
  • Lightweight deployment with no published minimum system requirements or complex onboarding.

Weaknesses

  • Extremely limited third-party documentation, review volume, and community presence.
  • No publicly documented API schema — API availability, endpoints, and authentication methods are unverified.
  • Small review footprint (only 2 verified G2 reviews as of research date) makes independent validation difficult.
  • Custom field handling, automation export, and bulk data access are unconfirmed capabilities.
  • Pricing and tier feature boundaries are not publicly published, making upgrade path planning speculative.
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 Bloomr 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

    Bloomr: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Bloomr 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 Bloomr to Odoo CRM data migrations

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

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Most Bloomr migrations land between three and five weeks for accounts with clean data, under 15,000 Contacts, and 3,000 Deals with no custom objects. The live API profiling phase (one to two weeks) is the critical variable; if Bloomr's API is inaccessible and we fall back to manual CSV export, the timeline extends by one to two weeks. Complex custom field mappings, multi-object activity histories, or Odoo multi-company configurations move to seven to twelve weeks. Discovery alone takes two to three weeks regardless of size because of Bloomr's undocumented schema.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Bloomr.
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