CRM migration
Field-level mapping, validation, and rollback between Mautic and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Mautic
Source
HighLevel
Destination
Compatibility
8 of 10
objects map 1:1 between Mautic and HighLevel.
Complexity
BStandard
Timeline
1-3 weeks
Overview
Moving from Mautic to GoHighLevel is a structural migration from an open-source marketing automation platform built for self-hosted infrastructure to a SaaS all-in-one CRM designed for agencies and service businesses. Mautic organizes data around Contacts, Companies, Segments, Campaigns, Stages, and Points for lead scoring; GoHighLevel replaces these with Contacts, Companies, Opportunities with pipeline stages, and Tags as the primary segmentation mechanism. We handle the fundamental schema translation: Mautic Segments (dynamic filter-based lists) become GoHighLevel Tags applied during import, Mautic Points/Lead Scoring maps to Opportunity pipeline stages or custom score fields, and Mautic Stages (lifecycle positions) map to GoHighLevel pipeline status values or contact custom fields. We bypass Mautic v6's broken CSV export queue entirely by reading directly from the MySQL/MariaDB database. Workflows, Campaigns, Landing Pages, and Forms do not migrate as code; we deliver a written inventory of every automation and page requiring rebuild in GoHighLevel's workflow builder.
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.
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 HighLevel, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Mautic
Contact
HighLevel
Contact
1:1Mautic Contacts map directly to GoHighLevel Contacts. We extract from the MySQL/MariaDB leads table to bypass Mautic v6's broken CSV export. Standard fields (email, firstname, lastname, phone, city, state, country, company) map to their GoHighLevel equivalents. All Mautic custom contact fields (user-defined fields stored in lead_fields) are pre-created in GoHighLevel as contact custom fields before import. UTF-8 encoding and date format (YYYY-MM-DD) are validated during extraction to match GoHighLevel import requirements.
Mautic
Company
HighLevel
Company
1:1Mautic Companies map to GoHighLevel Companies. The company ID from Mautic's companies table becomes the dedupe key during GoHighLevel import. Address fields (street, city, state, zip, country) map directly. Industry, annual_revenue, and website map to GoHighLevel Company custom fields or standard fields depending on the customer's field configuration. The contact-to-company association in Mautic (many-to-one, contacts can belong to multiple companies) maps to GoHighLevel's primary company association on the contact record.
Mautic
Segment
HighLevel
Tag
lossyMautic Segments (dynamic filter-based contact lists) cannot be imported as Segments into GoHighLevel because GoHighLevel uses Tags as its primary segmentation mechanism. We export the segment definition and membership, then apply all segment tags to each contact during import. For example, if a Mautic contact belongs to segments 'High-Value' and 'SMS-Opted-In', we create GoHighLevel tags with those names and apply them during the contact import. This preserves segment membership logic in a form GoHighLevel's Smart List filters can reference.
Mautic
Campaign
HighLevel
Workflow (manual rebuild)
1:1Mautic Campaigns (automation workflows with trigger conditions and action steps) are documented and exported as JSON definitions but do not migrate as code. GoHighLevel's Workflows use a different trigger-action model (event-based triggers with visual canvas branching) that cannot be programmatically translated from Mautic's campaign structure. We deliver a written inventory of every Mautic Campaign with its trigger type, conditions, and action sequence, plus a GoHighLevel Workflow recommendation for each. The customer's admin rebuilds the automations in GoHighLevel's workflow builder using our inventory as the specification.
Mautic
Stage
HighLevel
Pipeline Stage or Contact Custom Field
lossyMautic Stages define lifecycle positions (e.g., Lead, MQL, SQL, Customer). If the customer uses GoHighLevel Pipelines and Opportunities for deal tracking, Mautic Stages map to Pipeline stage names. If the customer does not use Opportunities and tracks lifecycle only on contacts, Mautic Stages migrate as a contact custom field (mautic_stage__c) with the original stage value preserved for segmentation and reporting.
Mautic
Points and Point Groups
HighLevel
Contact Custom Field (numeric)
1:1Mautic's Points system (numeric lead scoring based on actions) migrates to a GoHighLevel contact custom field (mautic_points__c) holding the raw point integer. Point Groups (thresholds like 'Lead at 100 points') are documented as written specifications for the customer to recreate as GoHighLevel automation triggers. Mautic's point-change history (chronological log of score changes) does not migrate because GoHighLevel's activity model does not support a native point-change audit log.
Mautic
Tag
HighLevel
Tag
1:1Mautic Tags are flat string labels applied to contacts and other objects. We export all tags and reapply them during migration, preserving tag-based segmentation logic. Mautic tag names are preserved verbatim in GoHighLevel. Tags used to denote import source (e.g., 'imported_from_mautic') are added during migration for reconciliation.
Mautic
Custom Object
HighLevel
Custom Object
1:1Mautic Custom Objects extend the data model beyond standard contacts and companies. We map each Custom Object to a GoHighLevel Custom Object with equivalent fields. Mautic Custom Object Relationships (the junction table records connecting object types) are extracted directly from MySQL/MariaDB because the Mautic Relationships API is documented as broken in community reports. We create the corresponding GoHighLevel Custom Object relationship records via the API after both parent objects are imported. Schema is pre-provisioned in GoHighLevel before any data moves.
Mautic
Form
HighLevel
Form (manual rebuild)
1:1Mautic Forms (data collection forms with field configurations and campaign triggers) are exported as field-level definitions but do not migrate as functional forms. GoHighLevel's Form builder uses a different field type system and submission handling. We deliver a form inventory document listing every Mautic Form with its field names, types, validation rules, and associated campaign actions, which the customer's admin uses to recreate forms in GoHighLevel's form builder.
Mautic
Asset
HighLevel
Asset (file reference only)
1:1Mautic Assets (downloadable files like PDFs and guides) are stored as binary blobs with metadata in the Mautic database. We export the asset metadata (file name, size, download URL) and include it in the migration inventory. The actual file blobs are extracted separately and uploaded to GoHighLevel's file storage or the customer's designated storage. If the customer uses a CDN or file hosting service, we map the asset URLs accordingly. Landing page content and theme assignments are documented separately for manual recreation.
| Mautic | HighLevel | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Segment | Taglossy | Fully supported | |
| Campaign | Workflow (manual rebuild)1:1 | Fully supported | |
| Stage | Pipeline Stage or Contact Custom Fieldlossy | Fully supported | |
| Points and Point Groups | Contact Custom Field (numeric)1:1 | Mapping required | |
| Tag | Tag1:1 | Fully supported | |
| Custom Object | Custom Object1:1 | Fully supported | |
| Form | Form (manual rebuild)1:1 | Fully supported | |
| Asset | Asset (file reference only)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
HighLevel gotchas
Sub-account architecture creates isolated data silos per client
Usage-based telecom and AI costs are not in the subscription price
Workflows have no native equivalent in most destination CRMs
API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account
White-label configuration and branding assets do not export via API
Pair-specific challenges
Migration approach
Source audit and export path selection
We audit the Mautic instance to determine the most reliable export path: for Mautic v6 instances we default to direct MySQL/MariaDB read access to bypass the broken CSV export queue; for Mautic v4/v5 instances we attempt the REST API first and fall back to database extraction if API pagination or rate limits affect large datasets. We catalog all standard fields, custom contact fields, custom company fields, custom objects, segment definitions, stage names, point group configurations, and tag inventory. We also identify any third-party plugins that store data outside the core Mautic schema.
GoHighLevel schema provisioning
Before any data moves, we pre-create the GoHighLevel custom field schema. Contact custom fields are created to match Mautic standard and custom contact fields. Company custom fields are created for any Mautic company fields not natively supported. Custom Objects are provisioned in GoHighLevel with all fields and relationship definitions. We categorize each field as Contact or Opportunity type in GoHighLevel based on its Mautic usage context, because this decision is irreversible after creation. Pipeline stages are defined if the customer uses GoHighLevel Opportunities for deal tracking.
Database extraction and transformation
We extract data from Mautic's MySQL/MariaDB database in dependency order: Companies first (as they have no dependencies), then Contacts with their company associations resolved, then Custom Objects and their relationship records from the junction tables. We transform Mautic Segments into tags applied during the contact import phase. We preserve Mautic Points values in a numeric custom field and document Point Group thresholds for recreation. All extracted data is validated for UTF-8 encoding, date format consistency, and email address validity before staging.
Sandbox import and reconciliation
If the customer has a GoHighLevel sandbox or is willing to create a trial sub-account for validation, we run a full import into that environment first. The customer reconciles record counts, spot-checks 25-50 randomly selected contacts against the Mautic source, and verifies that custom field values populated correctly. Any field type mismatches, missing custom fields, or mapping corrections are resolved at this stage before production import begins.
Production import in dependency order
We run the production import in strict record-dependency order: Companies first, then Contacts with company lookups resolved, then Custom Objects and relationship records, then Custom Object junction table records. Segments are applied as tags during the contact import phase. The Mautic import source tag (e.g., 'imported_from_mautic') is applied to all migrated contacts for identification. Each phase emits a row-count reconciliation report showing records imported, records skipped (duplicates), and records rejected with reason codes.
Cutover and workflow rebuild handoff
We freeze Mautic writes during cutover, run a final delta migration of any records modified during the migration window, then deliver the automation and form inventory documents. The inventory includes every Mautic Campaign and Form with its trigger logic, conditions, and action sequence mapped to a GoHighLevel Workflow or Form equivalent. We do not rebuild Mautic automations as GoHighLevel Workflows within the migration scope; that work is a separate engagement. We support a three-day hypercare window for reconciliation issues raised during the first business days on GoHighLevel.
Platform deep dives
Mautic
Source
Strengths
Weaknesses
HighLevel
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 HighLevel.
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
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FAQ
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