CRM migration

Migrate from Results to Odoo CRM

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

Results logo

Results

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

75%

9 of 12

objects map 1:1 between Results and Odoo CRM.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Results to Odoo CRM is a transition from a standalone CRM to an ERP-integrated sales platform. Results uses a unified Contact model with custom properties; Odoo CRM uses a crm.lead object that distinguishes between Leads and Opportunities with stage-based pipelines. We design the mapping between Results properties and Odoo fields during scoping, configure pipeline stages and sales teams in Odoo, and migrate records in dependency order. Because Results has limited public API documentation, we verify field compatibility and exportability through direct data sampling during the discovery phase. Workflows, automations, and reporting configurations do not migrate as code; we deliver a written inventory of these for your admin to rebuild in Odoo Studio or via custom modules.

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

Results logo

Results

What's pushing teams away

  • Architecture limits — the platform is positioned for SMBs and not designed to scale beyond ~15 users or 15,000 contacts, prompting growing teams to migrate to enterprise platforms.
  • No public REST API documentation or developer portal — custom integrations beyond the published connectors depend on vendor engagement or Zapier middleware.
  • QuickBooks-centric integration story leaves teams running NetSuite, Xero, or Sage looking elsewhere for native bidirectional accounting sync.
  • Heavy reliance on Windows and Office desktop environments may not fit fully browser-native or macOS/Linux remote workforces.
  • Limited public review volume on G2 and a small community footprint make benchmarking and peer-comparison harder than for category leaders.

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 Results objects map to Odoo CRM

Each row shows how a Results 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.

Results

Contact

maps to

Odoo CRM

crm.lead

1:1
Fully supported

Results Contacts map to Odoo crm.lead records. In Odoo, a crm.lead can represent either a Lead (unqualified) or an Opportunity (qualified). We use a lifecycle or status property from Results to set the type field and stage_id on the Odoo lead. The original Results contact name, email, phone, and company fields map directly to name, email_from, phone, and partner_name on crm.lead. If Results stores a separate Company record, we create a res.partner (Contact/Company) in Odoo and link it via partner_id on the lead.

Results

Company

maps to

Odoo CRM

res.partner

1:1
Fully supported

Results Companies map to Odoo res.partner records with partner_type = 'company'. The company domain from Results becomes the website field on res.partner. Odoo automatically creates individual Contact records under the Company partner when needed. Company-level addresses, industry classifications, and employee counts map to street/city/country, industry_id, and employee_nbr fields on res.partner.

Results

Deal

maps to

Odoo CRM

crm.lead (Opportunity)

1:1
Fully supported

Results Deals map to Odoo crm.lead records where type = 'opportunity'. The Results deal amount maps to planned_revenue, close date maps to date_deadline, and pipeline stage maps to stage_id within the configured sales team. If Results supports line items on deals, we migrate each line as an optional product_id link or store the amount as a plain currency value depending on Odoo configuration complexity.

Results

Pipeline

maps to

Odoo CRM

crm.team + stage

lossy
Fully supported

Results pipelines map to Odoo sales teams (crm.team) and stage IDs within each team. We configure stage names and probabilities in Odoo Studio or via XML before migration so that the imported Deals land in the correct stage. If Results uses multiple pipelines with different stage sets, we create separate crm.team records in Odoo and assign the appropriate team_id to each imported opportunity.

Results

Activity / Note

maps to

Odoo CRM

mail.message

1:1
Fully supported

Results activity records (calls, emails, meetings, notes) migrate to Odoo mail.message records linked to the parent crm.lead via res_id and model='crm.lead'. Activity type, timestamp, and body content map to message_type, date, and body on mail.message. Call duration and disposition store in custom fields on the message. Note attachments migrate as ir.attachment records linked via the relation field.

Results

Owner / User

maps to

Odoo CRM

res.users

1:1
Fully supported

Results owners map to Odoo res.users by email match. We resolve each Results owner to a user_id on the crm.lead record during import. Any Results owner without a matching Odoo user goes to a reconciliation queue for your admin to provision before record import resumes.

Results

Custom Field

maps to

Odoo CRM

ir.model.fields

lossy
Fully supported

Results custom properties on Contact, Company, or Deal migrate as custom fields on the corresponding Odoo model. We create the field definitions via Odoo Studio or direct XML before migration and map source values during import. Custom field types (text, date, integer, selection) must be matched to Odoo field types (char, text, date, integer, selection) during scoping.

Results

Attachment

maps to

Odoo CRM

ir.attachment

1:1
Fully supported

Results attachments associated with Contacts, Companies, or Deals migrate as Odoo ir.attachment records. We map the original filename, mimetype, and binary content. Attachments link to the parent record via res_model='crm.lead' or 'res.partner' and res_id pointing to the migrated record ID.

Results

Historical Timestamps

maps to

Odoo CRM

create_date / write_date

1:1
Fully supported

We preserve the original create_date and write_date from Results on migrated Odoo records. Where Results tracks a first_contact_date or last_activity_date, we store these in custom fields on the crm.lead record for historical accuracy. This preserves pipeline tenure and recency metrics without relying on Odoo's native activity logging timestamps.

Results

Tag / Label

maps to

Odoo CRM

crm.tag

1:1
Fully supported

Results tags or labels on Contacts and Deals migrate to Odoo crm.tag records. We create the tag if it does not exist and link it via crm.lead.tag_ids (many2many relation). Multi-value tags from Results with comma-separated or multi-select storage map to multiple crm.tag records.

Results

Custom Object

maps to

Odoo CRM

Custom Model

lossy
Fully supported

Results custom objects migrate to Odoo custom models defined in a custom module. We create the model definition (Python class inheriting from models.Model), add field definitions via _columns or _fields, and register the model in the module's __init__.py and __manifest__.py. Custom object data imports after the standard objects and after any lookup dependencies are resolved.

Results

Quote / Proposal

maps to

Odoo CRM

sale.order

1:1
Fully supported

If Results stores quotes or proposals attached to Deals, we migrate these as Odoo sale.order records in draft state. The linked opportunity (Results Deal) maps to crm.lead via the opportunity_id field on sale.order. Line items from the quote map to sale.order.line. The customer admin decides whether to activate the Odoo sale module during migration configuration.

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.

Results logo

Results gotchas

High

QuickBooks-linked records have dual sources of truth

Medium

Suite is not architected to scale beyond ~15 users / 15K contacts

Medium

No documented public REST API

Medium

Field Service photos and signatures require separate binary extraction

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

  • Results has no publicly documented API schema

    Unlike HubSpot, Salesforce, or Pipedrive, Results CRM does not publish public API documentation or a confirmed field schema. We cannot build field mappings against a static reference. Instead, we request direct data access during discovery—export a full CSV sample or grant read-only API credentials—so we can inspect the actual column names, data types, and null覆盖率 before committing to a migration plan. Skipping this step means we discover field mismatches mid-migration, which adds time and cost.

  • Odoo Lead versus Opportunity requires upfront design

    Odoo CRM does not use a single Contact object. The crm.lead model serves both as Lead (unqualified prospect) and Opportunity (qualified deal). We must decide at migration design time which Results records become Leads versus Opportunities based on a status, stage, or deal-association field in Results. If Results uses a flat Contact model without a stage distinction, all records default to Lead type in Odoo, and the customer may need to manually convert them to Opportunities as deals progress—unless we create a custom field to carry the original Results status for future segmentation.

  • Odoo custom field creation requires module context

    Odoo does not allow custom fields on standard models to be created via the UI alone for all field types. Complex custom fields (relational fields, computed fields, monetary fields with currency) require a custom module. We create the module structure, declare fields in Python, and install the module before importing data. If the customer prefers Odoo Studio-only custom fields, we scope those to char, integer, float, date, datetime, boolean, and selection types only, and document any relational fields that require a module.

  • Odoo requires module uninstall cleanup before migration

    If the target Odoo instance has been used previously or had demo data loaded, residual modules from prior installations can leave database artifacts (orphan cron jobs, server actions, ir_model_data entries, leftover fields, and physical table columns) that cause errors during import. We inspect the Odoo database for leftover module artifacts before migration and document any cleanup SQL required. This is especially relevant for Odoo 17-to-18 upgrades where view inheritance patterns changed and old custom modules may have left debris.

  • Activity migration relies on mail.message model

    Results activity records (calls, emails, meetings) map to Odoo mail.message, which is the activity log for crm.lead. However, mail.message is a shared model across all Odoo apps, and certain record types may not render in the CRM activity timeline by default. We test that imported activities appear in the Odoo CRM form view activity history tab before production migration. If they do not, we adjust the message subtype or add a custom activity view.

Migration approach

Six steps for a successful Results to Odoo CRM data migration

  1. Discovery and data sampling

    We request a full data export or read-only API access from Results CRM. We inspect the actual column headers, data types, sample values, and null rates for Contacts, Companies, Deals, Pipelines, Activities, and any custom objects. We compare what we find against the standard Results CRM model we have documented and flag any fields that require custom mapping logic. This step produces a written data audit and a confirmed field mapping table before we quote or schedule migration work.

  2. Odoo environment inspection and cleanup

    We inspect the target Odoo database for residual module artifacts, leftover custom fields from prior configurations, and any demo data that should not be overwritten. We identify the Odoo version (Community or Enterprise), installed apps, existing crm.team records, existing stage configurations, and installed custom modules. We document any database cleanup required and coordinate with your Odoo admin to run cleanup SQL or uninstall residual modules before we begin the migration.

  3. Schema design and custom module creation

    We design the Odoo destination schema based on the Results data audit. This includes configuring sales teams (crm.team) and stage IDs, creating custom fields on crm.lead and res.partner via a custom module, defining the Lead-versus-Opportunity split rule, and mapping Results tags to crm.tag records. The custom module is built and installed in a staging Odoo environment (Odoo.sh staging or a local dev environment) for validation before production.

  4. Staging migration and reconciliation

    We run a full migration into the staging Odoo environment using production-like data volume. Your team reviews 25-50 randomly sampled records for accuracy, checks that activity history appears in the CRM timeline, and confirms that pipeline stage assignments match the source. We emit row-count reconciliation reports for every object. Any mapping corrections happen here. We do not proceed to production until you sign off on the staging results.

  5. User provisioning and owner mapping

    We extract every distinct owner or user referenced in Results records and match by email against the destination Odoo res.users table. Any owner without a matching Odoo user goes to a reconciliation queue. Your admin provisions missing users before we begin production migration, because OwnerId (user_id) is required on crm.lead records and determines which sales team sees the opportunity.

  6. Production migration and cutover

    We migrate records in dependency order: res.partner (Companies) first, crm.lead (Contacts and Deals with the Lead-Opportunity split applied), mail.message (activity history), ir.attachment (files), crm.tag (tags), custom model records last. We freeze write access to Results during the cutover window, run a final delta migration of any records modified during the migration run, then hand off. We deliver the automation and workflow inventory document for your admin to rebuild in Odoo Studio or custom modules.

Platform deep dives

Context on both ends of the pair

Results logo

Results

Source

Strengths

  • Tight QuickBooks Desktop and Online integration eliminates double-entry between CRM and accounting.
  • Bundled CRM, Sales, Business, and Field Service modules in one suite reduce tool sprawl for service SMBs.
  • Field Service module at $10/user/month adds mobile photo/signature capture and on-site checklists at low marginal cost.
  • Choice of one-time perpetual license or month-to-month rent-to-own subscription accommodates SMB cash flow constraints.
  • Pre-built integrations with AvaTax, Zapier, Outlook, Gmail, SMS, WhatsApp, and Calendly cover common SMB stack needs.

Weaknesses

  • Not architected to scale beyond ~15 users or 15,000 contacts.
  • No documented public REST API; custom integrations require Zapier or vendor engagement.
  • QuickBooks-centric story leaves NetSuite/Xero/Sage customers without native integration.
  • Windows/Office desktop dependencies limit fit for fully browser-native or macOS/Linux teams.
  • Limited public review volume on G2 and small community footprint complicate vendor comparison.
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 Results 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

    Results: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Results 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 Results to Odoo CRM data migrations

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

Can't find your answer?

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Migrations land between three and five weeks for accounts under 20,000 Contacts and 4,000 Deals with standard pipelines and no custom objects. Migrations with custom objects, large activity histories, or multi-pipeline structures move to eight to twelve weeks because of Odoo module configuration, custom field development, and stage mapping work. The discovery and data sampling phase typically adds one to two weeks at the front end before we can confirm the timeline.

Adjacent paths

Related migrations to explore

Ready when you are

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