CRM migration

Migrate from Mautic to Microsoft Dynamics 365 Sales

Field-level mapping, validation, and rollback between Mautic and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .

Mautic logo

Mautic

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

50%

5 of 10

objects map 1:1 between Mautic and Microsoft Dynamics 365 Sales .

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Mautic is a marketing automation platform with built-in CRM features, while Microsoft Microsoft Dynamics 365 Sales is a structured sales CRM that separates Leads, Contacts, Accounts, and Opportunities into distinct objects. Moving from Mautic to Microsoft Dynamics 365 Sales means translating Mautic's unified contact model into a multi-object CRM schema, mapping Campaigns to Lead Sources and Opportunity records, and preserving point-based scoring and stage logic in custom fields. We pull data directly from the Mautic MySQL/MariaDB database to bypass silent v6 CSV export failures, then map every Mautic object to its Dynamics 365 equivalent using bulk and REST API ingestion with parent-record lookup resolution. We do not migrate automation workflows, forms, landing pages, or reports as code; we deliver a written inventory of these for the customer's admin to rebuild in Dynamics 365.

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

Mautic logo

Mautic

What's pushing teams away

  • Upgrading between major versions (4→5→6) is not a simple in-place update; plugins and custom code frequently break silently with no errors logged.
  • MySQL/MariaDB column-size limits and index-per-table restrictions throttle performance at contact counts above 500K, forcing expensive database workarounds.
  • Self-hosting requires dedicated server management, security patching, and cron job maintenance that marketing teams are not equipped to handle.
  • The UI and documentation lag behind feature development, making routine tasks like bulk contact exports unreliable in newer versions (v6.0.0 CSV exports queue but do not reliably email).
  • Enterprise support tiers at $20K–$30K/year are priced similarly to SaaS alternatives, removing the cost advantage for organizations that need professional SLA coverage.

Choosing

Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales

What's pulling them in

  • Deep Microsoft 365, Teams, and Outlook integration makes Microsoft Dynamics 365 Sales a natural fit for Microsoft-first organizations already invested in that ecosystem
  • Sales Enterprise and Premium tiers offer unlimited custom tables and advanced AI-driven forecasting and predictive analytics not available in lower tiers
  • Professional tier pricing at $65 per user per month offers a lower entry cost than Salesforce for SMB teams with straightforward CRM needs
  • Flexible customization options allow businesses to build bespoke apps, tailor forms and views, and integrate with other Dynamics 365 modules
  • Microsoft Copilot AI tools are embedded directly into the sales workflow on Enterprise and Premium, automating routine tasks and providing deal intelligence

Object mapping

How Mautic objects map to Microsoft Dynamics 365 Sales

Each row shows how a Mautic object lands in Microsoft Dynamics 365 Sales , including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Mautic

Contact

maps to

Microsoft Dynamics 365 Sales

Lead or Contact (split based on lifecycle)

1:many
Fully supported

Mautic Contacts with no company association or early lifecycle stage (e.g., visitor, subscriber) map to Salesforce Lead in Microsoft Dynamics 365 Sales . Mautic Contacts with an associated company and sales-engaged behavior (e.g., sales qualified, opportunity) map to Salesforce Contact tied to an Account. We compute the split at migration time using Mautic's stage, points, and company association fields as signals. Original Mautic lifecycle stage and point score are preserved in custom fields (mautic_stage__c, mautic_points__c) on both Lead and Contact for reporting continuity.

Mautic

Company

maps to

Microsoft Dynamics 365 Sales

Account

1:1
Fully supported

Mautic Company records map directly to Microsoft Dynamics 365 Sales Account. Mautic allows a single contact to associate with multiple companies; Microsoft Dynamics 365 Sales models this through a primary Account lookup on Contact plus Account Contact roles. We resolve multi-company contacts by designating the most recently updated company as the primary Account and preserving secondary associations in a custom junction entity (Account_Contact_Role__c) so no relationship data is lost.

Mautic

Deal

maps to

Microsoft Dynamics 365 Sales

Opportunity

1:1
Fully supported

Mautic Deals map to Microsoft Dynamics 365 Sales Opportunity. Deal name becomes Opportunity Name, deal amount maps to Amount, deal stage maps to Opportunity StageName, and the deal owner email resolves to the Dynamics 365 User. If the Mautic deal has an associated contact and company, we link the Opportunity to the resolved Account and Contact after those records are created. Closed-won and closed-lost deal outcomes map to the corresponding Opportunity stage.

Mautic

Stage

maps to

Microsoft Dynamics 365 Sales

Lead Status or Opportunity Stage

lossy
Fully supported

Mautic Stages (Lead, MQL, SQL, Customer) map to a combination of Dynamics 365 Lead Status values and a custom Opportunity stage set. We create a custom Stage mapping table during schema design that respects the customer's existing Mautic stage naming. Stage order and probability percentages transfer as custom fields on the Lead object and as stage probabilities on Opportunity.

Mautic

Points

maps to

Microsoft Dynamics 365 Sales

Custom Score Field

lossy
Fully supported

Mautic's point-based scoring has no direct Microsoft Dynamics 365 Sales equivalent. We migrate point values into a custom integer field mautic_points__c on Lead and Contact. If the customer uses Mautic point groups, we document the group thresholds as custom field metadata. Microsoft Dynamics 365 Sales Premium ($150/user/mo) includes sales intelligence scoring as a replacement layer post-migration.

Mautic

Tag

maps to

Microsoft Dynamics 365 Sales

Multi-Select Picklist or Custom Field

lossy
Fully supported

Mautic Tags are flat string labels that can apply to contacts, companies, and deals. We export all distinct tags as a value set and map them to a Dynamics 365 custom multi-select picklist field on the applicable object. Tags used for deal classification migrate as a custom picklist on Opportunity. If tag cardinality exceeds Dynamics 365 picklist limits, we use a custom tag-assignment junction entity instead.

Mautic

Campaign

maps to

Microsoft Dynamics 365 Sales

Campaign and Opportunity (membership records)

1:1
Fully supported

Mautic Campaigns are automation workflows that include contact membership. We export campaign definitions and contact membership lists. In Microsoft Dynamics 365 Sales , Campaign becomes a Campaign record with CampaignMembers linking the resolved Lead or Contact. Campaign membership dates migrate as the CampaignMember response date. The automation logic within Mautic Campaigns (triggers, delays, actions) is documented as a written rebuild inventory for Microsoft Dynamics 365 Sales Workflow or Power Automate; it does not migrate as executable code.

Mautic

Segment

maps to

Microsoft Dynamics 365 Sales

Static List (via Campaign) or Filter Definition

lossy
Fully supported

Mautic Segments are dynamic contact lists filtered by field values, tags, or behaviors. We export segment filter definitions as metadata. The filtered contact list itself is recalculated post-migration by creating a Dynamics 365 Campaign with the same filter logic as a static list, or by documenting the segment criteria for the customer's admin to recreate as a Dynamics 365 Marketing segment. Segment membership dates are preserved as CampaignMember response dates.

Mautic

Custom Object

maps to

Microsoft Dynamics 365 Sales

Custom Entity (Dataverse)

1:1
Fully supported

Mautic Custom Objects extend the data model beyond standard contacts and companies. We pre-create Dataverse custom entities matching the Mautic custom object schema, including all custom fields with type-mapped Dataverse data types and lookup relationships to the resolved standard objects. Mautic's junction table relationships for custom object associations map to Dataverse N:N relationship entities. We access custom object data directly from the Mautic database because the Mautic Custom Object Relationships API is documented as non-functional (community reports 2022).

Mautic

Asset

maps to

Microsoft Dynamics 365 Sales

SharePoint Document Library or Notes (metadata)

1:1
Fully supported

Mautic Assets are downloadable files managed in the platform. Asset metadata (name, description, download count, URL path) migrates as a record in a SharePoint document library integrated with Microsoft Dynamics 365 Sales , linked to the applicable Account or Contact via Document Location records. The binary files themselves are transferred as file blobs. Landing page and asset tracking configuration is documented for rebuild in Microsoft Dynamics 365 Sales or Power Pages.

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.

Mautic logo

Mautic gotchas

High

Mautic v6 CSV export silently fails to deliver files

High

Mautic 4 to 5 upgrade breaks plugins without warning

Medium

MySQL/MariaDB index limits throttle large contact databases

Medium

Custom Object Relationships API is non-functional

Medium

Mautic 5 to 6 migration logs no errors on failure

Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales gotchas

High

Professional tier 15-table custom table limit blocks migrations

High

October 2024 pricing increase applies at renewal for all customers

Medium

Custom fields must be created in the UI before API writes

Medium

Power Platform request limits apply to bulk migrations

Medium

Activity records orphaned to inactive owners fail silently

Pair-specific challenges

  • Mautic v6 CSV export silently fails, producing no file and no error

    In Mautic 6.0.0, the CSV export function queues the file for processing but never delivers it and writes no errors to Apache logs or Mautic internal logs. We bypass the built-in export entirely for Mautic v6 instances: we pull contact, company, deal, and custom object data directly from the MySQL/MariaDB database using authenticated read access, or we use batched REST API requests where the API is functional. This ensures a reliable export regardless of export queue failures on the source instance.

  • Mautic multi-company contacts require junction-table resolution before Dynamics 365 import

    Mautic allows a single contact to associate with multiple companies. Microsoft Dynamics 365 Sales Contact models a single primary Account. We resolve this by designating the most recently updated or highest-priority company as the primary Account on the Contact, then creating a custom AccountContactRole junction entity in Dataverse to preserve all secondary company associations. Migrations that skip this step lose all secondary company links and break reporting by account.

  • Mautic Custom Object Relationships API is non-functional

    Mautic's Custom Objects support relationships between object types, but the REST API endpoint for creating relationship records is documented as broken in community reports from 2022. We access relationship data through the MySQL/MariaDB junction tables directly, mapping the mautic_object_relationship junction table records to Dataverse N:N relationship entities. Without this direct-database access, relationship data between custom objects is lost during migration.

  • MySQL/MariaDB index limits can throttle large contact databases during extraction

    Mautic instances with hundreds of thousands of contacts and complex custom fields routinely hit MySQL's index-per-table limit (64 indexes) and column-size restrictions, causing slow queries during data extraction. We profile the source database index usage before migration, flag any tables approaching limits, and adjust our query strategy to use covering indexes or break large contact queries into smaller batches to avoid query timeouts during extraction.

  • Mautic automation workflows do not migrate to Microsoft Dynamics 365 Sales

    Mautic Campaigns and Segments contain automation logic (triggers, conditions, time delays, CRM actions) that has no direct equivalent in Microsoft Dynamics 365 Sales . We export campaign definitions, step sequences, and contact membership as a written inventory document for the customer's admin to rebuild using Microsoft Dynamics 365 Sales Workflow, Power Automate, or Sales Playbooks. The automation logic is not executable code and cannot be transferred across platforms. We flag the five highest-impact automations for prioritized rebuild.

Migration approach

Six steps for a successful Mautic to Microsoft Dynamics 365 Sales data migration

  1. Source audit and data extraction strategy

    We audit the Mautic instance for version (v6 requires direct database extraction), contact and company volume, custom field count, custom object schemas, deal and campaign volume, and any MySQL/MariaDB performance constraints. For v6 instances, we establish authenticated read access to the Mautic database. For v4 and v5 instances, we use a combination of REST API (batch requests) and direct database reads for objects with known API limitations (Custom Objects, relationships). We export all data to a staging environment and run a record-count reconciliation against the Mautic UI totals before any mapping begins.

  2. Schema design for Microsoft Dynamics 365 Sales

    We design the Microsoft Dynamics 365 Sales schema in a Sandbox or dev org before production migration. This includes creating custom fields on Lead and Contact (mautic_stage__c, mautic_points__c), custom picklist fields for Tags, and any custom Dataverse entities required for Mautic Custom Objects. We configure Record Types on Lead and Opportunity if multiple Mautic pipelines or campaign types require different stage sets. The Lead Status values are aligned to the Mautic stage matrix from the customer's existing instance.

  3. Contact-Lead split design and company-account resolution

    We define the split rule that determines which Mautic contacts become Leads versus Contacts in Microsoft Dynamics 365 Sales . The rule is based on Mautic lifecycle stage, company association presence, point score thresholds, and any campaign membership history. We simultaneously resolve Mautic Company records to Accounts, handle the multi-company contact junction with the custom AccountContactRole entity, and assign primary Account lookups before Contact import begins. This prevents orphaned Contact records with no Account.

  4. Sandbox migration and reconciliation

    We run a full migration into a Microsoft Dynamics 365 Sales Sandbox using production-like data volumes. The customer reconciles record counts in the Sandbox (Leads in, Contacts in, Accounts in, Opportunities in), spot-checks 25-50 records against the Mautic source, and validates the multi-company resolution and tag mapping. The Mautic point scores, stage names, and tag values are validated in the Sandbox before production migration begins. Any mapping corrections happen here.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (from Mautic Companies), Contacts and Leads (with the split rule applied and AccountId resolved for Contacts), Custom Object entities (with lookup relationships to resolved Accounts and Contacts), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Campaign records (with CampaignMembers linking resolved Leads and Contacts), and Activity history (Tasks, Events) via Dynamics 365 bulk API with chunking. Mautic v6 data is pulled from the database throughout this sequence; API-based objects are fetched in parallel batches.

  6. Cutover, validation, and automation rebuild handoff

    We freeze writes in Mautic during cutover, run a final delta migration of any records modified during the migration window, then enable Microsoft Dynamics 365 Sales as the system of record. We deliver the Campaign and Segment inventory document listing every Mautic automation with its trigger logic, conditions, and recommended Microsoft Dynamics 365 Sales Workflow or Power Automate equivalent. We support a one-week hypercare window for reconciliation issues. Workflow rebuild and Power Automate configuration are outside standard migration scope and are handled as a separate engagement.

Platform deep dives

Context on both ends of the pair

Mautic logo

Mautic

Source

Strengths

  • Zero per-contact licensing cost with the self-hosted open-source core product.
  • Full source code access enables unlimited customization without vendor dependency.
  • Complete data ownership and infrastructure control for compliance-sensitive organizations.
  • Multi-channel support including email, SMS, mobile push, and web notifications in one platform.
  • Active community and partner ecosystem with implementation support available.

Weaknesses

  • Self-hosted deployment requires ongoing server administration, security updates, and infrastructure costs.
  • MySQL/MariaDB column-size and index-per-table limits constrain large-scale contact databases.
  • Documentation and feature parity across versions is inconsistent, especially for new major releases.
  • CSV export reliability degrades in Mautic v6, and queued export jobs can fail silently without logging errors.
  • Upgrade paths between major versions frequently break third-party plugins and custom code.
Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales

Destination

Strengths

  • Native integration with Microsoft 365, Teams, Outlook, and SharePoint for unified productivity workflow
  • Unlimited custom tables and complex workflows on Enterprise tier enable deep customization for complex sales processes
  • AI-driven predictive analytics and deal intelligence on Enterprise and Premium tiers help sales teams prioritize pipeline
  • Dataverse unified data layer provides a consistent API and data model across all Dynamics 365 and Power Platform apps
  • Strong security model with Field-Level Security and Record Ownership rules for governance-conscious enterprises

Weaknesses

  • Sales Professional tier caps custom tables at 15, creating a migration ceiling for highly customized SMB environments
  • October 2024 pricing increases of $15 per user across all tiers apply to existing customers upon renewal
  • Implementation typically requires costly certified partners, adding 30–50% to total project cost
  • Updates and platform releases can disrupt customizations and plugins, requiring regression testing after each wave
  • Non-Microsoft integrations require additional configuration or middleware, limiting flexibility for heterogeneous tech stacks

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 Mautic and Microsoft Dynamics 365 Sales .

  • 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

    Mautic: Not publicly documented — enforced at the server level, not within Mautic software.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Mautic to Microsoft Dynamics 365 Sales 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 Mautic to Microsoft Dynamics 365 Sales data migrations

Answers to the questions buyers ask most during Mautic to Microsoft Dynamics 365 Sales migration scoping. Not seeing yours? Book a call.

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Most migrations land between three and five weeks for accounts under 25,000 contacts, 5,000 deals, and no custom objects. Migrations with Mautic v6 (requiring direct database extraction), Mautic Custom Objects with junction-table relationships, large multi-company contact junction tables, or campaign membership histories exceeding 100,000 records move to seven to twelve weeks because of database profiling, custom Dataverse entity schema build, and the contact-to-Lead-Contact split reconciliation. Microsoft Dynamics 365 Sales Sandbox testing adds one to two weeks to the timeline.

Adjacent paths

Related migrations to explore

Ready when you are

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