CRM migration

Migrate from RedEye to Odoo CRM

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

RedEye logo

RedEye

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

50%

6 of 12

objects map 1:1 between RedEye and Odoo CRM.

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from RedEye to Odoo CRM is a paradigm shift from a B2C contact-centric model to a B2B relational CRM embedded in an ERP suite. RedEye deduplicates all customer identity into a single Contact record with behavioural enrichment and multi-channel lifecycle data; Odoo CRM uses a Lead-Account-Contact-Opportunity hierarchy that assumes B2B pipeline management rather than retail behavioural tracking. We resolve this during scoping by mapping RedEye contacts to Odoo Contacts (and where applicable, inferring Odoo Account records from domain or company linkage) and by storing behavioural event history as custom fields and activity logs rather than native RedEye-style journey nodes. Campaign structures migrate as Odoo CRM tags and stage configurations; customer journeys do not replicate natively, so we document the journey tree for the customer's admin to rebuild in Odoo Studio or via a third-party marketing automation module. Workflows, journey automations, and RedEye reports do not migrate as code or dashboards; we deliver a written inventory of every active workflow and a recommendation for how Odoo or a compatible marketing automation module handles equivalent logic.

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

RedEye logo

RedEye

What's pushing teams away

  • Contact database size is capped per tier (150,000 on Essentials) and upselling to higher volumes can arrive without warning, making growth-stage brands feel price-pressured.
  • Reporting dashboards are described as basic by power users who want deeper drill-down and custom analytics beyond the built-in charts and dashboards.
  • The platform has a learning curve; reviewers note that initial onboarding guidance is insufficient and some features take time to master without better in-app documentation.
  • Drag-and-drop campaign building and auto-save functionality are absent, creating friction for marketers accustomed to more modern no-code UX patterns.

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 RedEye objects map to Odoo CRM

Each row shows how a RedEye 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.

RedEye

Contact

maps to

Odoo CRM

Contact + Account (split required)

1:many
Fully supported

RedEye's unified Contact record maps to Odoo CRM's Contact object as the primary record. Company linkage from RedEye (where present) maps to Odoo Account. For RedEye contacts with no company association, we infer an Account from the contact's domain using a domain-extraction rule during import, creating a linked Account record so that Odoo's CRM Opportunity lookups can reference it. The RedEye contact identifier is stored in the Odoo contact's external_id field for reconciliation. Custom contact properties from RedEye migrate as Odoo IrModelField custom fields on res.partner.

RedEye

Company

maps to

Odoo CRM

Account

1:1
Fully supported

RedEye company records (lighter-weight in B2C context) map directly to Odoo res.partner records with partner_type = 'company'. The RedEye company name becomes the Account name and the domain becomes the Website field. Account is created before any linked Contact import so that the contact_id.partner_id lookup is satisfied at the moment of insert. If the source RedEye account has no company records, we skip this object and rely on the contact-to-account inference in the Contact mapping.

RedEye

Campaign

maps to

Odoo CRM

CRM Tag + Stage Configuration

lossy
Fully supported

RedEye campaigns migrate as Odoo CRM tags (crm.lead.tag) with the campaign name as the tag label. Campaign timing rules (start date, end date, goal metrics) are documented in a campaign inventory spreadsheet rather than a native Odoo campaign object, since Odoo CRM does not have a native multi-channel campaign scheduler. The customer's admin assigns tags to Opportunities and Contacts post-migration for campaign attribution. Channel assignments from RedEye (email, SMS, push) require manual reconfiguration in Odoo's marketing automation modules or third-party tools.

RedEye

Customer Journey

maps to

Odoo CRM

Documented (no native equivalent)

lossy
Fully supported

RedEye journey logic (visual branching rules tied to contact behaviour and lifecycle stages) does not have a direct Odoo CRM equivalent. Odoo CRM has no native visual journey builder. We extract the full journey tree from RedEye as a structured rule document listing every trigger condition, branch, delay, and CRM action. We deliver this document to the customer's admin, who rebuilds equivalent logic in Odoo Studio, via a third-party Odoo marketing automation app, or in a standalone tool like Mautic if marketing automation is separated from the CRM layer.

RedEye

Events

maps to

Odoo CRM

CRM Activity Log + Custom Fields

1:1
Fully supported

RedEye behavioural events (website actions, email opens, purchase triggers) migrate as Odoo mail.message records linked to the parent res.partner Contact. Event type, timestamp, and source channel are stored in custom fields on the message record. Event volume can be significant for high-frequency senders, so we chunk the event migration into batches of 1,000 records per API call and validate record counts against the source export. Events without a resolved parent contact are flagged in the reconciliation report and held for manual resolution.

RedEye

Product

maps to

Odoo CRM

Product (product.product)

1:1
Fully supported

RedEye product catalogue records (SKU, name, pricing, category) migrate to Odoo product.product. ProductCode maps from RedEye's SKU field. Pricing migrates to lst_price (sales price) and standard_price (cost). Category maps to Odoo product.category via a name-match lookup. Unlimited product records migrate on both RedEye tiers; Odoo has no product count ceiling.

RedEye

Custom Fields

maps to

Odoo CRM

IrModelField custom fields

lossy
Mapping required

RedEye custom contact fields and custom event fields require explicit field-to-field mapping during scoping. We extract the full field schema from RedEye and match it against Odoo's field type model (char, integer, float, selection, many2one, etc.) before destination schema creation. Custom fields are deployed as Odoo IrModelField records via the XML-RPC API before any data import begins. Fields without a direct Odoo type equivalent (e.g., multi-value arrays) are stored as char fields with delimiter-separated values or as Odoo tag associations.

RedEye

Segment

maps to

Odoo CRM

CRM Tag + Domain Filter

lossy
Fully supported

RedEye dynamic segments (behavioural rules and demographic criteria) migrate as Odoo CRM tags on the Contact record plus an Odoo domain filter stored as a custom char field describing the segment logic. The domain filter describes the rule rather than re-executing it, since Odoo CRM does not have a native dynamic segment engine. We document every segment definition in a segmentation inventory with its criteria, logic, and recommended Odoo equivalent (static tag, sales team filter, or campaign audience).

RedEye

Tags

maps to

Odoo CRM

CRM Tag

1:1
Fully supported

Contact and campaign tags from RedEye migrate as Odoo crm.lead.tag records. We map tag names exactly and flag any tag characters (special characters, spaces, non-ASCII) that are unsupported by Odoo's tag schema. Tags are linked to both Contact and Lead records post-migration, depending on whether the contact was mapped to a Contact or an Account.

RedEye

Attachments

maps to

Odoo CRM

IrAttachment

1:1
Fully supported

Campaign assets (images, documents) attached to RedEye campaigns or emails migrate via file export and re-upload to Odoo's ir_attachment table. We preserve the file hierarchy and naming conventions to minimise manual re-linking in Odoo's document management view. Odoo's document management module (documents app) can be enabled if the customer requires a more structured asset library post-migration.

RedEye

Reports and Dashboards

maps to

Odoo CRM

Documented (no migration)

lossy
Not supported

RedEye native reporting dashboards do not export because the visualisation components are platform-specific. We migrate all underlying data (contact attributes, event logs, campaign performance metrics) to Odoo so reports can be rebuilt from scratch. We flag this during scoping so the customer allocates time for the reporting rebuild phase in Odoo Reporting or in a connected BI tool. A reporting inventory document listing every source metric and its Odoo equivalent is included in the migration deliverables.

RedEye

Owner

maps to

Odoo CRM

User

1:1
Fully supported

RedEye owners (sales and marketing team members with campaign access) map to Odoo res.users records. We resolve owners by email match. Any RedEye owner without a matching Odoo User is held in a reconciliation queue for the customer's admin to provision before record import resumes. Inactive Odoo users are created for historical owners who are no longer active so that owner attribution on historical records is preserved.

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.

RedEye logo

RedEye gotchas

High

Contact database size limits differ by pricing tier

Medium

Campaign journey logic does not export as a portable schema

Medium

Reports and dashboards are not exportable

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

  • RedEye contact-centric model does not map directly to Odoo Account-Contact hierarchy

    RedEye deduplicates all customer identity into a single Contact record with behavioural enrichment; Odoo CRM uses a Lead-Account-Contact-Opportunity hierarchy designed for B2B pipeline management. Contacts without an explicit company association in RedEye require us to infer an Account from the contact's domain during import. We run a domain-extraction rule to group contacts by domain, create a linked Account for each domain, and then link contacts to those Accounts. Migrations that skip this step result in Odoo Contacts without parent Accounts, breaking Opportunity lookups and pipeline reporting.

  • Customer Journeys have no Odoo CRM equivalent and must be rebuilt

    RedEye's visual journey builder stores workflow definitions in a proprietary format that cannot be exported and re-imported into any platform including Odoo. Odoo CRM has no native visual journey builder; equivalent automation requires Odoo Studio, a third-party marketing automation module (such as Marark, Mark, or a Mautic integration), or a separate tool. We extract journey structure as a structured rule document and deliver it to the customer during scoping so the rebuild work can begin in parallel with data migration. Journey rebuild is outside the standard migration scope.

  • Odoo CRM has no native multi-channel campaign orchestrator

    RedEye supports up to nine channels (email, SMS, push, and additional digital mediums) in a single campaign workflow. Odoo CRM's native channel capability is email integration via Odoo Mail and basic SMS via the Discuss module or a third-party SMS gateway module. Teams relying on RedEye's multi-channel orchestration need to evaluate an Odoo marketing automation module or a separate platform (such as Mautic, Klaviyo, or Braze) to replicate the channel depth. We flag this gap during scoping and include channel configuration as a post-migration configuration item.

  • RedEye reporting dashboards cannot migrate; underlying data must be rebuilt in Odoo

    RedEye's native analytics dashboards use platform-specific visualisation components that do not export. We migrate all underlying contact, event, and campaign performance data so reports can be rebuilt from scratch in Odoo's Reporting module or a connected BI tool. Without proactive scoping, teams expect dashboards to carry over and discover post-launch that years of campaign analytics are absent. We include a reporting inventory document listing every source metric, its Odoo field location, and recommended dashboard rebuild steps.

  • Odoo API rate limits and bulk load capacity require chunking for large event histories

    Odoo's XML-RPC API enforces rate limits per database instance that vary by Odoo edition and hosting configuration (Odoo Online, on-premise, or Odoo.sh). Large event migrations from RedEye (behavioural events, email opens, website actions) can exceed single-request capacity. We chunk event imports into batches of 500-1,000 records with exponential backoff on 429 responses, and we run a pre-flight test with the customer's Odoo instance to establish safe batch sizes before production migration begins.

Migration approach

Six steps for a successful RedEye to Odoo CRM data migration

  1. Discovery and scoping

    We audit the source RedEye account across Essentials or Elevate tier, total contact count, campaign count, journey definitions, event volume, custom field schema, segment definitions, and tag taxonomy. We pair this with a scoping call to understand the target Odoo configuration: CRM-only or CRM plus additional modules (Sales, Accounting, Inventory, Project), Odoo edition (Community or Enterprise), user count, and channel requirements. The discovery output is a written migration scope document with object inventory, record counts per object, and a decision gate on the Account inference strategy for contact-centric RedEye data.

  2. Destination schema design and Account inference strategy

    We design the Odoo CRM destination schema before any data moves. This includes creating custom fields on res.partner (contact) and crm.lead (opportunity) via Odoo's XML-RPC API or CSV import, configuring CRM tags for campaign and segment migration, and deploying the schema to the customer's Odoo instance via a test run. The critical design decision is the Account inference strategy: for each RedEye contact without an explicit company association, we decide whether to create a linked Odoo Account from the contact's email domain or to store the contact without a parent Account. This decision affects Opportunity lookups and pipeline reporting downstream, so it requires sign-off from the customer's CRM admin before production migration.

  3. Data extraction and transformation from RedEye

    We export all source objects from RedEye via its API or CSV export capability: contacts (with all custom properties), companies, campaigns, events, products, custom fields, segments, tags, and attachments. Event logs are exported as a flat event table with contact_id, event_type, event_timestamp, and channel fields. We run a data quality check at this stage: duplicate contacts, missing required fields, inconsistent date formats, and contacts exceeding the RedEye Essentials 150,000 cap are flagged in a pre-flight report. Data cleansing (deduplication, format standardisation, missing value handling) happens in this phase, not in production.

  4. Sandbox migration and reconciliation

    We run a full migration into the customer's Odoo test environment using production-like data volume. The customer's Odoo admin reconciles record counts (Contacts in, Accounts in, Events in, Products in), spot-checks 25-50 random records against the RedEye source, and validates that custom fields are correctly populated and that the Account-Contact relationships are resolved as designed. Any mapping corrections happen here, not in production. Owner reconciliation also happens at this stage: any RedEye owner without a matching Odoo User is flagged for the admin to provision before the production migration begins.

  5. Production migration in dependency order

    We run production migration in record-dependency order: custom fields and tag taxonomy first (schema deployment), then Accounts (from RedEye companies), then Contacts (with AccountId resolved from domain inference or explicit company linkage), then Products, then Events in chunked batches with rate-limit handling, then Tags and Segments as post-import metadata. Campaign structures are delivered as a tagging inventory spreadsheet rather than a native Odoo object import. Each phase emits a row-count reconciliation report before the next phase begins. We run a delta pass at cutover for any records modified during the migration window.

  6. Cutover, validation, and workflow rebuild handoff

    We freeze RedEye writes during cutover, run the final delta migration, then enable Odoo CRM as the system of record. We deliver the Customer Journey inventory document (journey tree with trigger conditions, branches, and recommended Odoo equivalents), the Reporting inventory document (source metrics and Odoo field locations for dashboard rebuild), and the Automation inventory (workflow logic requiring rebuild in Odoo Studio or a marketing automation module). We support a one-week hypercare window for reconciliation issues raised by the customer's team. We do not rebuild RedEye journeys, automations, or reports as Odoo configurations inside the migration scope; that work is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

RedEye logo

RedEye

Source

Strengths

  • Dedicated sending infrastructure with warm-up plans and inbox monitoring included on all paid tiers.
  • Unlimited email sends and event storage removes per-campaign volume anxiety for high-frequency senders.
  • Multi-channel campaign orchestration (up to nine channels) consolidates what many teams run across separate tools.
  • Strong B2C lifecycle marketing focus with retailer, travel, and financial sector expertise built into the product design.
  • AI predictive analytics and customer lifetime value modelling available on the Elevate tier.

Weaknesses

  • Contact database size limits (150,000 on Essentials) create a hard ceiling that triggers tier upgrades unexpectedly for growing brands.
  • Native reporting is described as basic by power users and lacks the drill-down depth available in standalone BI platforms.
  • Absence of drag-and-drop campaign building and auto-save creates UX friction for marketers used to modern no-code builders.
  • Steep learning curve without guided onboarding means teams spend more time self-discovering features than driving value.
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 RedEye 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

    RedEye: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your RedEye 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 RedEye to Odoo CRM data migrations

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

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Most migrations land between four and six weeks for accounts with fewer than 50,000 contacts, a single RedEye tier (Essentials or Elevate), and no multi-module Odoo destination. Migrations with large event histories (hundreds of thousands of behavioural event records), Elevate-tier AI predictive analytics data, Odoo multi-module destinations (CRM plus Accounting or Inventory), or accounts requiring complex Account-inference from RedEye contact domains move to eight to twelve weeks because of schema redesign, parent-record dependency resolution, and Odoo module compatibility validation.

Adjacent paths

Related migrations to explore

Ready when you are

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