CRM migration
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
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
5 of 10
objects map 1:1 between Mautic and Microsoft Dynamics 365 Sales .
Complexity
BStandard
Timeline
3-5 weeks
Overview
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.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Source platform
Mautic platform overview
Scorecard, SWOT, gotchas, and pricing for Mautic.
Destination platform
Microsoft Dynamics 365 Sales platform overview
Scorecard, SWOT, gotchas, and pricing for Microsoft Dynamics 365 Sales .
Data migration guide
The complete Microsoft Dynamics 365 Sales migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Destination checklist
Microsoft Dynamics 365 Sales migration checklist
Pre- and post-cutover tasks for moving onto Microsoft Dynamics 365 Sales .
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
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
Microsoft Dynamics 365 Sales
Lead or Contact (split based on lifecycle)
1:manyMautic 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
Microsoft Dynamics 365 Sales
Account
1:1Mautic 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
Microsoft Dynamics 365 Sales
Opportunity
1:1Mautic 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
Microsoft Dynamics 365 Sales
Lead Status or Opportunity Stage
lossyMautic 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
Microsoft Dynamics 365 Sales
Custom Score Field
lossyMautic'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
Microsoft Dynamics 365 Sales
Multi-Select Picklist or Custom Field
lossyMautic 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
Microsoft Dynamics 365 Sales
Campaign and Opportunity (membership records)
1:1Mautic 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
Microsoft Dynamics 365 Sales
Static List (via Campaign) or Filter Definition
lossyMautic 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
Microsoft Dynamics 365 Sales
Custom Entity (Dataverse)
1:1Mautic 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
Microsoft Dynamics 365 Sales
SharePoint Document Library or Notes (metadata)
1:1Mautic 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.
| Mautic | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Contact | Lead or Contact (split based on lifecycle)1:many | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Stage | Lead Status or Opportunity Stagelossy | Fully supported | |
| Points | Custom Score Fieldlossy | Fully supported | |
| Tag | Multi-Select Picklist or Custom Fieldlossy | Fully supported | |
| Campaign | Campaign and Opportunity (membership records)1:1 | Fully supported | |
| Segment | Static List (via Campaign) or Filter Definitionlossy | Fully supported | |
| Custom Object | Custom Entity (Dataverse)1:1 | Fully supported | |
| Asset | SharePoint Document Library or Notes (metadata)1:1 | Fully supported |
Gotchas + challenges
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 gotchas
Mautic v6 CSV export silently fails to deliver files
Mautic 4 to 5 upgrade breaks plugins without warning
MySQL/MariaDB index limits throttle large contact databases
Custom Object Relationships API is non-functional
Mautic 5 to 6 migration logs no errors on failure
Microsoft Dynamics 365 Sales gotchas
Professional tier 15-table custom table limit blocks migrations
October 2024 pricing increase applies at renewal for all customers
Custom fields must be created in the UI before API writes
Power Platform request limits apply to bulk migrations
Activity records orphaned to inactive owners fail silently
Pair-specific challenges
Migration approach
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.
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.
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.
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.
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.
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
Mautic
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Mautic and Microsoft Dynamics 365 Sales .
Object compatibility
1 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Mautic: Not publicly documented — enforced at the server level, not within Mautic software.
Data volume sensitivity
Mautic doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
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