CRM migration

Migrate from Kartra to Odoo CRM

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

Kartra logo

Kartra

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

75%

9 of 12

objects map 1:1 between Kartra and Odoo CRM.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Kartra to Odoo CRM is a migration from a marketing-centric all-in-one platform to a dedicated sales CRM backed by a full ERP suite. Kartra exports all data as individual CSV files through the web UI with no bulk API, which means we batch and chunk large exports, parse comma-separated tag and list values into individual records, and transform the output into the Odoo XML-RPC API format. Odoo CRM models contacts as partner records with an optional company relationship, and opportunities sit above them as pipeline records. We map Kartra Contacts to Odoo Partners, Kartra Tags to Odoo Tags, Kartra Lists to Odoo Groups, and Kartra Deals to Odoo CRM Opportunities. We preserve GDPR consent flags and transaction history in dedicated Odoo fields. Automation sequences, membership access records, and form logic do not migrate; we deliver a written inventory of every Kartra Sequence and automation requiring rebuild in Odoo Studio or a custom 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

Kartra logo

Kartra

What's pushing teams away

  • CRM depth is shallow compared to dedicated CRMs — no true lead scoring engine, limited pipeline management, and basic contact profiles frustrate users with complex sales processes.
  • Steep learning curve despite a polished UI; users report months of trial-and-error before feeling comfortable with automation sequences and behavioral triggers.
  • Contact-based pricing means hitting your plan limit forces an upgrade even if most contacts are inactive, creating pressure to purge records to stay in tier.
  • The mobile app is widely described as limited and unreliable, forcing users to manage most tasks from a desktop browser.
  • Support response times lag behind competitors, with users citing multi-day waits for ticket resolution during critical issues.

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 Kartra objects map to Odoo CRM

Each row shows how a Kartra 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.

Kartra

Contact (formerly Lead)

maps to

Odoo CRM

Partner (res.partner)

1:1
Fully supported

Kartra Contacts map directly to Odoo Partner records. Standard fields (name, email, phone, website, address) map to Odoo partner fields using XML-RPC string and char types. We use the partner's email as the external identifier for deduplication. Tags stored as comma-separated strings in the Kartra CSV are parsed into individual Odoo Tag records and linked via ir.attachment or a dedicated tag relation table. If the Kartra contact has a company_name value, we create a parent Partner with company_name and a child Partner record for the individual contact.

Kartra

Custom Fields

maps to

Odoo CRM

Custom Fields (res.partner fields)

lossy
Mapping required

Kartra's five custom field types map to Odoo field types: input_field maps to char, text_area maps to text, drop_down maps to selection, radio_button maps to selection, and checkbox maps to boolean. We read the Kartra field schema via API during scoping to determine types and labels, then pre-create the corresponding fields in Odoo via Studio or XML definition before migration. Relational custom fields (e.g., a drop-down referencing another Kartra object) require Odoo many2one or many2many configuration during schema setup.

Kartra

Tag

maps to

Odoo CRM

Tag (res.partner.category)

lossy
Fully supported

Kartra tags stored as comma-separated strings in the Contact CSV are split into individual tag values. Each tag becomes an Odoo res.partner.category record. We map the tag name directly and link it to the Partner via the category_id many2many relation. Note: tags applied retroactively (e.g., 'form completed') after the original contact creation date will migrate with the contact but the customer should verify whether Odoo's tag assignment logic meets their segmentation needs.

Kartra

List

maps to

Odoo CRM

Group (res.partner.category or Smart Group)

lossy
Fully supported

Kartra Lists are exported as comma-separated membership values per contact. We split list memberships into individual group assignments. If the customer used Lists for audience segmentation in Kartra, we create Odoo Partner Categories (tags) or configure Odoo Smart Groups with domain filters to replicate the segmentation logic. The customer chooses the target model during scoping.

Kartra

Transaction

maps to

Odoo CRM

Sale Order or Account Invoice (account.move)

1:1
Fully supported

Kartra Transactions export as a separate CSV with amount, product, date, and payment method. We map these to Odoo Sale Orders (if the transaction is an order) or Account Invoice records (if it is a completed payment). The Odoo CRM module links the sale order to the Partner record via partner_id. Transaction products require Odoo Product records to exist before order import; we create placeholder Product records during schema setup if they do not exist.

Kartra

Subscription

maps to

Odoo CRM

Recurring Contract (sale.subscription) or Sale Order

1:1
Fully supported

Kartra Subscription records (active, cancelled, paused) with start date and associated product map to Odoo Subscription records if the Odoo Subscription app is installed, or to linked Sale Orders if only the base CRM app is in scope. Subscription status (active, cancelled, paused) maps to Odoo subscription state values. Kartra does not export subscription revenue MRR/ARR; we note this as a data gap and document it in the migration inventory.

Kartra

GDPR Status

maps to

Odoo CRM

Partner GDPR fields

1:1
Fully supported

The Kartra CSV includes GDPR Status and GDPR Status Date fields per contact. These values migrate to Odoo partner fields. We recommend the customer verify consent records against their actual legal obligations in the destination jurisdiction, as Odoo may interpret consent states differently from Kartra. A custom partner field gdpr_consent_date__c is created to preserve the original Kartra GDPR status date.

Kartra

Calendar / Appointment

maps to

Odoo CRM

Calendar Event (calendar.event)

1:1
Fully supported

Kartra Calendars (booking objects) with appointment names and configurations map to Odoo Calendar Events. Historical appointment records require separate export from Kartra and are not included in the standard Contact or Transaction CSV. We flag this gap and map any appointments found to Odoo calendar.event linked to the partner_id. The customer's Odoo calendar must be configured with the appropriate user attendees before migration.

Kartra

Deal (if configured in Kartra)

maps to

Odoo CRM

Opportunity (crm.lead)

1:1
Fully supported

If the customer used Kartra's Deal module (available on Silver/Growth and above), Deal records map to Odoo CRM Opportunities (crm.lead with type='opportunity'). Kartra Deal stages map to Odoo Stage values configured in the CRM pipeline. Deal amount, close date, and associated contact (partner) migrate to the Odoo opportunity fields. We create the Odoo pipeline stages during schema setup to match the customer's Kartra deal stages.

Kartra

Owner

maps to

Odoo CRM

User (res.users)

1:1
Fully supported

Kartra Owners (team members) referenced on Contact and Deal records are resolved by email against the Odoo User table. Any Kartra Owner without a matching Odoo User is held in a reconciliation queue for the customer's admin to provision before record import resumes. Owner assignment on migrated Opportunities uses the resolved User ID.

Kartra

Affiliate

maps to

Odoo CRM

Partner or Custom Affiliate Record

1:1
Fully supported

Affiliate sign-up events tracked in Kartra map to Odoo Partner records with a custom affiliate_type field, or to a dedicated affiliate partner category. If the customer uses Odoo Affiliation or a third-party affiliate module, we map the affiliate relationship accordingly. The customer specifies the target during scoping.

Kartra

Membership and Course Access

maps to

Odoo CRM

None (not available)

1:1
Fully supported

Kartra does not export membership access or course enrollment data in any standard CSV. This information is not available for migration unless the customer manually exported it or used behavioral tags to capture enrollment events. We audit the customer's tag taxonomy during scoping to identify whether any membership or course completion tags exist, and surface the gap in the migration inventory if no tag-based enrollment data is found.

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.

Kartra logo

Kartra gotchas

High

Behavioral history is absent from Kartra exports unless tags were pre-set up

High

Contact-based pricing requires pre-migration record audit

High

No bulk or programmatic API for extraction

Medium

Sequences, automation logic, and workflows cannot be exported

Medium

GDPR status fields export but require manual review at destination

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

  • Kartra CSV export constraint limits automation

    Kartra does not expose a bulk data export API. All contact, transaction, and subscription data must be exported via the web UI as individual CSV files. Large accounts with tens of thousands of contacts require multiple sequential UI exports. We chunk large exports into manageable batches, validate each file's field completeness, and reassemble them into a unified migration dataset. This manual export step adds timeline risk for accounts over 10,000 contacts and is the primary reason scoping for Kartra migrations takes longer than API-driven source platforms.

  • Behavioral history absent unless pre-configured tags exist

    Kartra explicitly states that Forms completed, Surveys completed, Webinars registered, and Membership access are NOT exported as data rows. The only path to preserving this information is if the customer's Kartra account was configured to apply a tag on each event. We probe the customer's tag taxonomy during scoping to identify whether behavioral tags exist. If not, we document which engagement data will be lost and surface it to the customer before migration begins.

  • Odoo custom views and module debris from prior add-ons

    Odoo version upgrades (particularly 17 to 18) break custom views using deprecated syntax like <tree> instead of <list> and inherited-view tricks that relied on now-invalid XPath expressions. Third-party modules that are not available in the target Odoo version leave debris in the database: cron jobs, server actions, XML IDs, model metadata, fields, and physical tables. We inspect the target Odoo environment for addon debris before migration begins and document cleanup steps. Custom field mapping also requires careful attention when converting Kartra drop-down and radio fields to Odoo selection fields, as picklist values must match exactly.

  • Kartra Sequences and automation logic do not export

    Kartra Sequences are multi-step email automation flows with conditional branching, delays, and action triggers. This workflow logic does not exist as a data file that can be exported. We cannot migrate sequence logic; customers must rebuild sequences at the destination. We export the contact list and all available tag and list metadata so the new automation can be configured around the migrated data once Odoo is live. If the customer uses Odoo Marketing Automation, we recommend rebuilding Kartra Sequences as Odoo Marketing Activities.

  • Contact-based pricing creates billing risk at both ends

    Kartra bills by total Contact count across all plans. Many customers accumulate inactive, bounced, or duplicate contacts over years of use. Migrating a full Kartra CSV into Odoo (which charges per user, not per contact) does not trigger an Odoo billing change, but the customer may be paying for a Kartra plan tier that includes contacts they no longer need. We audit the Kartra contact list for bounced, duplicate, and stale records during pre-migration profiling and flag the clean count versus the raw export count so the customer can suppress inactive records before migration.

Migration approach

Six steps for a successful Kartra to Odoo CRM data migration

  1. Discovery and Kartra export profiling

    We audit the source Kartra account across plan tier, contact volume, custom field count, tag taxonomy, transaction history, subscription records, and any behavioral tags configured for forms, surveys, webinars, or memberships. We also identify which Kartra modules are in active use (Contacts, Deals, Calendars, Affiliates) to scope the migration precisely. The discovery output is a written migration scope document listing every object to migrate, every object that cannot migrate, and the expected row counts per export file. We also flag the Kartra export steps required and the manual UI actions the customer must perform to pull each CSV.

  2. Odoo environment inspection and schema design

    We inspect the destination Odoo instance for installed apps (CRM, Sale, Subscription, Invoicing, Project), existing custom fields, and any addon debris from uninstalled modules. We then design the destination schema: custom fields created via Odoo Studio or XML definition, partner categories (tags) pre-provisioned to match the Kartra tag taxonomy, CRM pipeline stages configured to match Kartra deal stages (if Deals are in scope), and selection field value lists populated with Kartra drop-down and radio button options. Schema is validated in a staging environment before production migration begins.

  3. CSV extraction, parsing, and staging transformation

    The customer exports Kartra data via the web UI as individual CSV files (Contacts, Transactions, Subscriptions). We receive the files, parse comma-separated tag and list values into individual records, validate field completeness, deduplicate by email, and flag bounced or stale records. For large accounts, we batch the exports into 2,500-record chunks matching the Kartra plan tier to avoid export limits. The output is a normalized staging dataset in Odoo-compatible format ready for XML-RPC API insertion or CSV import.

  4. Partner and contact import with tag resolution

    We import Partners (from Kartra Contacts) into Odoo via XML-RPC API in dependency order. Each Partner record carries its email as the external identifier for deduplication. After all Partners are inserted, we resolve tag relationships by matching parsed tag names to the pre-provisioned Odoo partner categories. List memberships are resolved by creating additional category assignments on the Partner record. Owner assignment uses email-to-User lookup against the Odoo User table, with unresolved owners held in a reconciliation queue. GDPR status and consent dates migrate to custom partner fields.

  5. Transaction and subscription import

    Transactions from Kartra map to Odoo Sale Orders or Account Invoice records linked to the imported Partners. We resolve product references by matching product names to Odoo Product records (creating placeholders if needed) and import in date order. Subscriptions map to Odoo Subscription records if the Subscription app is installed, or to linked Sale Orders if only the CRM app is in scope. Each import phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and automation rebuild handoff

    We freeze Kartra writes during cutover, run a final delta import of any records modified during the migration window, then enable Odoo as the system of record. We deliver the automation inventory document listing every Kartra Sequence and automation requiring rebuild in Odoo Studio or a custom module. We support a one-week hypercare window where we resolve any data quality issues raised by the customer's team. We do not rebuild Kartra Sequences as Odoo automated actions inside the migration scope; that is a separate engagement.

Platform deep dives

Context on both ends of the pair

Kartra logo

Kartra

Source

Strengths

  • Unlimited email and SMS at every tier with no per-message fees or platform transaction charges.
  • Built-in video hosting, page builder, membership sites, and calendar booking eliminate separate tool subscriptions.
  • Pricing scales with contact count (2,500 to 100,000+) rather than feature gating; even Starter includes all core features except agency mode.
  • Kartra provides a documented migration path (CSV export) and explicit guidance on what can and cannot be moved, making FlitStack AI's extraction straightforward.

Weaknesses

  • No bulk API for programmatic data extraction — all migration work depends on Kartra's UI-based CSV export, which cannot be automated end-to-end.
  • Behavioral and engagement data (form completions, survey results, webinar attendance, membership access history) is absent from exports unless explicit tags were set up to capture these events.
  • CRM functionality is intentionally basic — limited pipeline stages, no true lead scoring, and shallow opportunity management compared to HubSpot or Salesforce.
  • Dedicated content-marketing and blogging tools are weak, making Kartra a poor fit for businesses where organic blog traffic is a primary growth channel.
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 Kartra 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

    Kartra: Hardcoded ceiling of 20 inbound API calls per second per Kartra App..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Kartra 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 Kartra to Odoo CRM data migrations

Answers to the questions buyers ask most during Kartra 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 10,000 Contacts with clean tag taxonomy and no membership data. Migrations with large transaction histories (over 5,000 records), complex custom field schemas (over 20 fields), or multi-module Odoo destinations (CRM plus Sale, Invoicing, or Subscription) move to seven to twelve weeks because of CSV chunking, tag parsing, transaction deduplication, and Odoo API batch handling. The Kartra CSV export step (which requires manual UI actions) adds one to three days to the scoping phase regardless of record volume.

Adjacent paths

Related migrations to explore

Ready when you are

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