CRM migration

Migrate from Evam to Odoo CRM

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

Evam logo

Evam

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

71%

10 of 14

objects map 1:1 between Evam and Odoo CRM.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Evam to Odoo CRM is a migration from a real-time journey-orchestration platform to an open-source ERP-integrated CRM. Evam stores behavioral events, customer profiles, and journey logic tied to a proprietary event stream; Odoo CRM manages Contacts, Leads, Opportunities, and Tasks within a modular ERP stack. We cannot export Evam journey definitions as structured data or migrate AI predictive scores, which are computed in Evam's runtime and have no documented export endpoint. We scope event history to a defined time window (typically the last 90-180 days) to keep migration volume manageable, and we document every Evam segment criteria as Odoo dom filter XML so the customer's admin can rebuild targeting rules in Odoo. Channel credentials (SMS sender IDs, push credentials, in-app configurations) are environment-locked to Evam's registered application and must be re-registered in Odoo before cutover. Workflows, journey sequences, and automation rules do not migrate; we deliver a written inventory of each for the customer's admin to rebuild in Odoo Studio or via a partner.

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

Evam logo

Evam

What's pushing teams away

  • Journey complexity becomes unmanageable at scale — users report that the user journey can feel complex, and small campaign changes often require navigating deeply nested logic.
  • Difficult to extract clean historical data for reporting — as an event-driven system, the raw event stream lacks built-in summarization, making it hard to build reports post-migration without re-processing.
  • High cost of entry relative to simpler marketing automation tools — the platform's enterprise positioning means smaller teams pay for capabilities they do not use.
  • Lack of transparency in channel attribution — multi-touch attribution across Evam's channels is not fully transparent, leading some teams to supplement with separate analytics tooling.
  • Limited community resources and steep learning curve — compared to broader CRM platforms, Evam has a smaller ecosystem, making self-service troubleshooting harder.

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 Evam objects map to Odoo CRM

Each row shows how a Evam 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.

Evam

Customer

maps to

Odoo CRM

Contact

1:1
Fully supported

Evam Customer records map directly to Odoo CRM Contact. Standard profile fields (name, email, phone, demographic attributes) migrate 1:1 to Odoo res.partner records. Custom customer properties migrate to Odoo custom fields on res.partner, which we pre-create via Odoo Studio or XML data migration script before import. The contact's primary address and company affiliation map to Odoo's address fields and partner_latitude/longitude if geolocation is present in Evam.

Evam

Customer

maps to

Odoo CRM

Account

1:1
Fully supported

Evam Customers with a company association map to Odoo CRM Account (res.partner with partner_latitude=company). We use the Evam customer company domain as the Account name and populate the Website field. Accounts are created before Contacts so that the parent_id lookup is satisfied at Contact insert time. Customers without a company association become standalone Contacts with no parent account.

Evam

Customer

maps to

Odoo CRM

Lead

1:1
Fully supported

Evam Customers in early lifecycle stages (anonymous visitor, new prospect) map to Odoo CRM Lead (crm.lead) if the customer is not yet a qualified contact in the destination sales process. We document the customer's Evam lifecycle stage as a custom field lead_source_stage__c on the Lead record for audit. Customers who have progressed past initial acquisition in Evam map directly to Contact/Account.

Evam

Event

maps to

Odoo CRM

CRM Activity (Task/Meeting/Call)

1:1
Fully supported

Evam behavioral and transactional event records (page views, purchases, form submissions, custom events) migrate to Odoo CRM Activity records. We use event type to determine the Odoo activity type: browse events map to Note records, transactional events map to Meeting records, and engagement events map to Task records. Event timestamps migrate as Odoo activity create_date and activity_date for timeline ordering. The event payload (JSON schema) migrates as a custom text field event_payload__c for post-migration reconciliation.

Evam

Event (time-scoped snapshot)

maps to

Odoo CRM

CRM Activity History

lossy
Fully supported

Evam processes billions of touchpoints, which cannot all be exported in one pass. We scope the event export to a defined time window (typically the last 90-180 days based on customer retention policy) and aggregate older events into summary records. Each aggregated summary captures the event count, first occurrence, last occurrence, and event type distribution per customer. This keeps migration volume manageable while preserving representative behavioral history.

Evam

Segment

maps to

Odoo CRM

Domain Filter (ir.filters)

lossy
Fully supported

Evam Segments define customer groupings used to filter journey entry and campaign targeting. We document each Evam segment criteria as Odoo domain filter XML (ir.filters model) with equivalent field references mapped to Odoo res.partner field names. Segment membership (the list of customers in each segment) migrates as Odoo CRM static groups or as tagged records using Odoo's tag system (x_studio_tags). The customer's admin rebuilds dynamic Odoo filters from the documented segment rules post-migration.

Evam

Campaign

maps to

Odoo CRM

CRM Campaign

1:1
Fully supported

Evam marketing campaigns attached to journey steps or run independently migrate to Odoo CRM Campaign (utm.campaign). Campaign metadata (name, status, start date, end date, channel assignments) migrates directly. Campaign performance metrics (open rates, click rates, conversion rates) are derived post-migration in Odoo reporting rather than migrated as historical calculations. Channel-specific campaign configurations (SMS sender IDs, push notification templates) are documented for manual re-setup.

Evam

Journey

maps to

Odoo CRM

CRM Sales Team + Pipeline Stage documentation

1:1
Fully supported

Evam Journeys encode step sequences, branch conditions, wait timers, and entry/exit rules that have no direct Odoo equivalent. We do not migrate journey definitions as code. Instead, we document every active Evam journey as a written specification (step order, trigger conditions, channel actions, wait timers, exit criteria) and map the journey's primary customer segment to an Odoo CRM Sales Team and Pipeline Stage configuration. This gives the customer's admin a blueprint to rebuild journey logic using Odoo Studio or a CRM extension.

Evam

Channel (SMS)

maps to

Odoo CRM

SMS configuration documentation

1:1
Fully supported

Evam SMS channel configurations (sender IDs, template IDs, provider credentials) are environment-locked to Evam's registered application and cannot be moved to Odoo. We document the full SMS channel configuration during discovery (provider name, account ID, sender ID patterns, approved templates) and provide a re-setup checklist for the customer's operations team to configure Twilio, MessageBird, or another SMS gateway in Odoo before cutover. The checklist includes template migration notes for each active SMS campaign.

Evam

Channel (Push/In-App)

maps to

Odoo CRM

Push notification configuration documentation

1:1
Fully supported

Evam push notification and in-app message configurations (Firebase credentials, app IDs, notification templates) are bound to Evam's registered app environment and cannot be moved. We document the full push channel configuration during discovery and provide a re-setup checklist for the customer's dev team to configure Firebase Cloud Messaging or an equivalent in Odoo's website module or a custom push app. Template content migrates as text documentation for manual re-entry.

Evam

Custom Fields (Customers, Events, Journeys)

maps to

Odoo CRM

Custom Fields (res.partner, crm.lead, utm.campaign)

lossy
Fully supported

Extended properties on Evam Customers, Events, or Journeys defined beyond the standard schema migrate to Odoo custom fields. We pre-create each destination field via Odoo XML data migration or Studio before import, matching the Evam field data type to the nearest Odoo field type (Char, Text, Integer, Float, Date, Datetime, Selection, Many2one). Lookup fields in Evam that reference other Evam objects require manual schema mapping to Odoo relational fields during scoping.

Evam

AI Models / Predictive Scores

maps to

Odoo CRM

Not migratable (rebuild required)

lossy
Not supported

Evam AI-based propensity scores are computed per-customer within Evam's runtime environment and are not accessible via the documented API. We cannot migrate these scores directly. We document the score calculation criteria (model inputs, weighting factors, score range) as a written specification so the customer's data science team can re-implement scoring in Odoo using Odoo Studio custom fields, an Odoo AI app, or a third-party scoring integration (e.g., a Python-based model connected via Odoo RPC). Customers should plan a scoring-free reset on day one.

Evam

Owner

maps to

Odoo CRM

User

1:1
Fully supported

Evam Owners referenced on Customer, Event, Campaign, and Journey records map to Odoo CRM User (res.users). We resolve owners by email match against the Odoo destination instance. Any Evam Owner without a matching Odoo User goes to a reconciliation queue for the customer's admin to provision before record import resumes. Active/inactive status in Odoo is set to match the owner's active status in Evam.

Evam

Engagement: Email

maps to

Odoo CRM

CRM Activity (Note or Task)

1:1
Fully supported

Evam email engagement records (email opens, clicks, sends) migrate to Odoo CRM Note or Task records linked to the parent Contact or Lead. Email content migrates as a Note body; engagement metadata (open count, click count, send timestamp) migrates as custom fields on the Note record. Odoo does not have a native EmailMessage object in standard CRM; email integration requires Odoo Mail module configuration, which is scoped separately from the data migration.

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.

Evam logo

Evam gotchas

High

Journey logic lacks structured export

High

AI predictive scores are non-exportable

Medium

Event data volume requires selective snapshot strategy

Medium

Channel credentials are environment-locked

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

  • Journey definitions have no structured export format

    Evam journey definitions encode step sequences, branch conditions, wait timers, and entry/exit rules as proprietary data structures with no documented API export endpoint. We use API snapshots and manual documentation during discovery to capture journey topology and trigger conditions. We do not attempt to reverse-engineer journey logic from event data alone. The customer receives a written inventory of every active journey with its trigger, conditions, actions, and recommended Odoo rebuild approach using Odoo Studio or a CRM extension. Journey logic must be rebuilt manually in Odoo by the customer's admin or a certified Odoo partner.

  • AI predictive scores are non-exportable from Evam

    Evam's AI-based propensity scores are computed per-customer within Evam's runtime environment and have no documented export mechanism. We cannot migrate these scores to Odoo CRM, which has no native AI scoring in its standard CRM module. Customers relying on AI-driven routing in Evam journeys should plan to re-run scoring in Odoo via Odoo AI apps or a third-party scoring integration post-migration. We document the score model inputs and calculation logic as a written specification to support the rebuild.

  • Event data volume requires selective scoping

    Evam processes billions of touchpoints. Attempting to export the full historical event stream will hit API rate limits and produce a dataset too large to validate and load into Odoo CRM within a reasonable migration window. We scope the event export to a defined time window (typically the last 90-180 days) and aggregate older event data into summary records per customer. We document the aggregation strategy and time window selection during discovery so the customer can adjust based on their data retention policy and reporting requirements.

  • Channel credentials are environment-locked and non-transferable

    SMS sender IDs, push notification credentials, and in-app notification configurations in Evam are bound to Evam's registered application environment and cannot be moved to Odoo. We document the full channel configuration during discovery (provider credentials, template IDs, sender ID patterns) and provide a re-setup checklist so the customer's operations team can re-register credentials in Odoo's SMS gateway settings, Firebase console, or push notification provider before cutover. The checklist includes template content migration notes for each active channel campaign.

  • Odoo ERP module dependencies require schema pre-planning

    Odoo CRM is part of a modular ERP suite. Contact and Lead records in Odoo CRM share the res.partner model with Odoo Sales, Accounting, Inventory, and Project modules. Custom fields and tags created in CRM may conflict with fields used by other modules if naming conventions overlap. We pre-create the destination schema in a staging Odoo environment before migration, validating that CRM custom fields do not conflict with standard ERP fields from other active modules. If the customer runs Odoo Sales alongside CRM, we coordinate pipeline and product schema to avoid duplicate data structures.

Migration approach

Six steps for a successful Evam to Odoo CRM data migration

  1. Discovery and migration scoping

    We audit the source Evam instance across customer record volume, event history window, active journey count, segment definitions, campaign metadata, channel configurations, and custom field schemas. We pair this with an Odoo environment assessment: edition (Community or Enterprise), active modules (CRM only or CRM with Sales, Accounting, Project), existing custom fields, and user count. The discovery output is a written migration scope document specifying record volumes per object, the event time window, the segment-to-domain-filter mapping plan, and the channel re-setup checklist.

  2. Schema pre-creation in Odoo staging environment

    We pre-create the destination schema in an Odoo staging environment. This includes provisioning custom fields on res.partner (Contact), crm.lead (Lead), utm.campaign (Campaign), and crm.activity (Activity), configuring CRM Pipeline stages and Sales Teams to match the Evam journey primary segments, creating ir.filters records for each Evam segment definition, and setting up tags on res.partner for segment membership migration. Schema is deployed via Odoo XML data migration script or through Odoo Studio into a Sandbox org for validation before production migration begins.

  3. Event history scoping and aggregation strategy

    We define the event history time window (typically 90-180 days) based on customer retention policy and Odoo CRM storage constraints. We run a pre-migration API extraction of Evam event data scoped to the agreed window, aggregating the results into per-customer activity summaries and per-campaign engagement metrics. The aggregation logic is documented and validated against a sample of raw Evam event records before the full extraction runs. Older event data is documented as an archive export for the customer to retain outside Odoo if required for compliance.

  4. Sandbox migration and reconciliation

    We run a full migration into an Odoo Sandbox using production-like data volume. The customer's CRM lead reconciles record counts (Contacts in, Leads in, Accounts in, Activities in), spot-checks 25-50 random records against the Evam source data, and validates that segment membership tags and custom field values transferred correctly. Any mapping corrections, field type mismatches, or schema conflicts are resolved in the staging environment before production migration begins.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Users (manual provisioning validated), Accounts (from Evam company associations), Contacts (with parent_id resolved), Leads (with lifecycle stage mapped to Odoo lead status), Campaign records (utm.campaign), Activities (Event history scoped to the agreed time window), segment membership tags, and custom field values on all records. Each phase emits a row-count reconciliation report before the next phase begins. Channel configurations and journey definitions are documented and handed over at this stage.

  6. Cutover, validation, and journey rebuild handoff

    We freeze Evam write access during cutover and run a final delta migration of any records modified during the migration window. We then enable Odoo CRM as the system of record. We deliver the journey documentation, segment rebuild specifications, channel re-setup checklists, and AI scoring model specifications to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team. Workflows, journey automation rules, and automation sequences do not migrate as code; they are documented for manual rebuild in Odoo Studio or via a certified Odoo partner.

Platform deep dives

Context on both ends of the pair

Evam logo

Evam

Source

Strengths

  • Real-time event processing engine handles billions of touchpoints per day without batching latency.
  • AI-based predictive scoring and next-best-offer logic are native to the platform, not bolted on.
  • Multi-channel delivery (SMS, push, in-app, pop-up) managed from a single journey canvas.
  • High-volume enterprise track record — 600+ daily end-users across significant deployments.
  • Developer-friendly integration surface with documented API access patterns.

Weaknesses

  • Small ecosystem and limited public documentation compared to broader CRM platforms.
  • Journey logic is complex to audit and export, making post-migration reconstruction non-trivial.
  • No documented mechanism for exporting predictive score history.
  • Channel configurations (sender IDs, credentials) are environment-locked and require manual re-setup.
  • Small review sample limits confidence in long-term reliability assessment.
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 Evam 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

    Evam: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Evam 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 Evam to Odoo CRM data migrations

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

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Most migrations land between three and five weeks for accounts under 15,000 Customers, a single journey program, and scoped event history. Migrations with large event histories (over 1 million records), multiple journey programs, complex segment definitions, custom object schemas, or Odoo ERP co-migration move to eight to twelve weeks because of schema pre-creation, event aggregation, and Odoo module dependency resolution.

Adjacent paths

Related migrations to explore

Ready when you are

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