CRM migration

Migrate from Mautic to HighLevel

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

Mautic logo

Mautic

Source

HighLevel

Destination

HighLevel logo

Compatibility

80%

8 of 10

objects map 1:1 between Mautic and HighLevel.

Complexity

BStandard

Timeline

1-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

HighLevel logo

HighLevel

What's pulling them in

  • Agencies choose HighLevel to consolidate CRM, email, SMS, scheduling, and funnels into one subscription, eliminating monthly bills for five to ten separate SaaS tools they previously stitched together.
  • The flat-rate pricing model bills per sub-account rather than per contact, so growing a contact database from 1,000 to 100,000 records does not trigger a billing surprise—a common pain point avoided by migrating customers.
  • White-label and sub-account capabilities let agencies resell HighLevel access to their own clients, turning a software cost center into a recurring revenue stream that justifies the subscription.
  • The platform ships a 14-day free trial with no credit card required, giving teams a low-friction entry point to validate fit before committing to the $97/month Starter tier.
  • Marketing agencies managing multiple client accounts use sub-accounts to maintain data isolation per client while operating under a single agency billing relationship with HighLevel.

Object mapping

How Mautic objects map to HighLevel

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

maps to

HighLevel

Contact

1:1
Fully supported

Mautic 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

maps to

HighLevel

Company

1:1
Fully supported

Mautic 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

maps to

HighLevel

Tag

lossy
Fully supported

Mautic 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

maps to

HighLevel

Workflow (manual rebuild)

1:1
Fully supported

Mautic 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

maps to

HighLevel

Pipeline Stage or Contact Custom Field

lossy
Fully supported

Mautic 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

maps to

HighLevel

Contact Custom Field (numeric)

1:1
Mapping required

Mautic'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

maps to

HighLevel

Tag

1:1
Fully supported

Mautic 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

maps to

HighLevel

Custom Object

1:1
Fully supported

Mautic 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

maps to

HighLevel

Form (manual rebuild)

1:1
Fully supported

Mautic 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

maps to

HighLevel

Asset (file reference only)

1:1
Fully supported

Mautic 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.

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

HighLevel logo

HighLevel gotchas

High

Sub-account architecture creates isolated data silos per client

High

Usage-based telecom and AI costs are not in the subscription price

Medium

Workflows have no native equivalent in most destination CRMs

Medium

API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account

Low

White-label configuration and branding assets do not export via API

Pair-specific challenges

  • Mautic v6 CSV export silently fails with no error output

    Mautic 6.0.0's CSV export queues the file for processing but never delivers it via email and writes no errors to Apache or Mautic internal logs. We handle this by bypassing the built-in export entirely: we read contact and company data directly from the MySQL/MariaDB database using authenticated read access, or we call the REST API in batched requests. This is the only reliable export path for Mautic v6 instances. Organizations relying on the CSV export for migration planning will encounter a silent failure if they attempt export without awareness of this issue.

  • GoHighLevel contact vs opportunity custom fields are irreversible

    GoHighLevel enforces a hard separation between Contact Custom Fields and Opportunity Custom Fields. Once a field is created as one type, it cannot be switched. We handle this by auditing all Mautic custom contact fields and all Mautic custom fields used in deal contexts before creating any GoHighLevel custom fields. Fields that belong on contacts go into the Contact custom field group; fields specific to a sales pipeline stage go into the Opportunity custom field group. This upfront categorization prevents the field-type lock that would require reimporting data if a field is placed in the wrong group.

  • 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 handle this by accessing relationship data directly through the MySQL/MariaDB junction table schema, mapping the junction records to GoHighLevel's Custom Object relationship API. This requires understanding Mautic's internal table structure (the xxx_xxx_xref tables) and translating the relationship cardinality to GoHighLevel's relationship model, which supports one-to-many and many-to-many but not Mautic's more flexible relationship definitions.

  • GoHighLevel email deliverability uses shared Mailgun infrastructure

    GoHighLevel's email system (LC Email) runs on shared Mailgun infrastructure shared across thousands of GoHighLevel users. Reviewers on G2, Reddit, and independent blogs consistently report lower inbox placement rates compared to dedicated email platforms or self-hosted Mautic with a properly configured MTA. We document email domain warm-up requirements (SPF, DKIM, DMARC configuration) and recommend dedicated sending domain setup before migration. For customers whose primary marketing channel is email, this is a significant deliverability consideration that requires pre-migration planning rather than post-migration remediation.

  • Mautic Companies-to-Contacts mapping is many-to-one

    Mautic allows a single contact to be associated with multiple companies simultaneously. GoHighLevel associates a contact with one primary company on the contact record. We handle this by designating the first company in the Mautic contact's company list as the primary GoHighLevel association and documenting any additional company associations as a custom field (mautic_additional_companies__c) for manual reconciliation. This is a data model limitation in GoHighLevel, not a migration error, and is documented in the migration inventory for the customer's awareness.

Migration approach

Six steps for a successful Mautic to HighLevel data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

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.
HighLevel logo

HighLevel

Destination

Strengths

  • Consolidates CRM, marketing automation, email, SMS, scheduling, and funnels into one platform at a predictable flat monthly rate.
  • Supports unlimited contacts and unlimited users on all paid tiers, removing per-record billing anxiety as databases grow.
  • Offers white-label and sub-account capabilities that let agencies resell access and manage multiple client environments under one billing relationship.
  • Includes built-in review management, reputation monitoring, and AI agents as native features rather than third-party add-ons.
  • Exports Contacts and Companies via a scalable async bulk CSV system that handles multi-million-row datasets without blocking the UI.

Weaknesses

  • The breadth of features creates a steep learning curve; advanced automations and Workflow configuration require significant time investment that smaller teams may not recover.
  • The platform charges usage-based fees for telecommunications and AI features that are not included in the base subscription, leading to bill surprises.
  • Recurring user reports on Reddit and G2 describe bugs, errors, and slow support response times that disrupt live marketing and sales operations.
  • Sub-account architecture, while powerful for agencies, adds migration complexity when identifying which client data lives in which isolated environment.
  • The platform is designed for agencies and SMBs; larger enterprises requiring deep reporting, custom objects at scale, or complex role-based access may outgrow its capabilities.

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 HighLevel.

  • 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 HighLevel 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 HighLevel data migrations

Answers to the questions buyers ask most during Mautic to HighLevel migration scoping. Not seeing yours? Book a call.

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Most migrations land between one and three weeks for databases under 10,000 contacts with no custom objects. Migrations above 10,000 contacts, with Mautic Custom Objects requiring schema translation, or with complex point-group configurations move to three to six weeks because of direct database extraction overhead, GoHighLevel custom object provisioning, and lookup resolution across relationship tables. Mautic's self-hosted nature means the source instance's server performance also affects extraction speed.

Adjacent paths

Related migrations to explore

Ready when you are

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