CRM migration

Migrate from Mautic to Salesforce Sales Cloud

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

Mautic logo

Mautic

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

62%

8 of 13

objects map 1:1 between Mautic and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

5-7 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Mautic to Salesforce is a migration from a standalone marketing-first platform to a CRM-first ecosystem. Mautic organizes data around Contacts with a built-in CRM layer; Salesforce separates Leads and Contacts and expects Accounts as the organizational parent. We resolve that structural difference during scoping by defining the lifecycle-stage-to-Lead-or-Contact split rule before any data moves. We bypass Mautic v6's broken CSV export by reading contact and company data directly from the MySQL/MariaDB database, work around the index-per-table limits that throttle large contact databases, and resolve the Custom Object relationship gaps by accessing junction tables directly. Campaigns and Segments migrate as Salesforce Campaigns with membership history preserved; Stages and Points map to Salesforce Lead Status and a custom lead score field. Workflows, Sequences, landing pages, and Reports do not migrate; we deliver a written inventory of every active automation and page that requires rebuild in Salesforce Flow, Experience Cloud, or a dedicated marketing implementation partner.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Mautic objects map to Salesforce Sales Cloud

Each row shows how a Mautic object lands in Salesforce Sales Cloud, 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

Salesforce Sales Cloud

Lead or Contact (split required)

1:many
Fully supported

Mautic Contacts with lifecycle stage of subscriber, lead, or marketing qualified lead map to Salesforce Lead. Lifecycle stage of sales qualified lead, opportunity, customer, evangelist, or other maps to Salesforce Contact tied to an Account. We compute the split using Mautic's stage and lead_status properties at migration time, preserve the original Mautic lifecycle stage in a custom field stage__c on both Lead and Contact for audit, and set the Salesforce Lead Status picklist to a value derived from the Mautic stage name. All custom contact fields migrate as typed Salesforce fields with __c suffixes.

Mautic

Company

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Mautic Company records map directly to Salesforce Account. The company domain maps to the Account Website field and serves as the dedupe key during import. We resolve Mautic's many-to-one contact-to-company relationship by creating Account first, then setting AccountId on each Contact at insert time. Any company phone, industry, revenue, and address fields map to the equivalent Account fields.

Mautic

Campaign

maps to

Salesforce Sales Cloud

Campaign + CampaignMember

1:1
Fully supported

Mautic Campaign definitions (name, description, start and end dates, campaign type) map to Salesforce Campaign records. Campaign membership (which Contacts entered which Campaigns and when) migrates as Salesforce CampaignMember records linked by CampaignId and ContactId or LeadId. The CampaignMember Status field maps from Mautic's campaign membership status. We resolve the Contact-to-Campaign membership through the Mautic_leads_campaign_leads junction table accessed directly from the database.

Mautic

Segment

maps to

Salesforce Sales Cloud

Campaign (informational)

lossy
Fully supported

Mautic Segments are dynamic contact lists filtered by field values, tags, and behavioral conditions. We export the segment filter definitions as structured JSON and attach them to a Salesforce Campaign record's description field. The segment membership itself is not re-imported as CampaignMembers because Salesforce recalculates dynamic membership differently; the filter definition serves as a rebuild reference for the customer's admin to reconstruct as a Salesforce Campaign or a filtered Report.

Mautic

Stage

maps to

Salesforce Sales Cloud

Lead Status or custom field

1:1
Fully supported

Mautic Stages define contact lifecycle positions (Lead, MQL, Customer, etc.) and are stored in the Mautic lead stages table. We map each Mautic stage name to a Salesforce Lead Status picklist value (for Lead records) and preserve the full stage name in a custom text field stage__c on Contact for reference. If the destination Salesforce org uses a custom stage model for Contacts, we align to that instead.

Mautic

Points

maps to

Salesforce Sales Cloud

Lead Score (custom field)

lossy
Fully supported

Mautic's Points system scores contacts based on actions (page visits, form submissions, email opens, manual adjustments). We map the Mautic Points integer value to a custom Number field on the Salesforce Lead or Contact record named lead_score__c. Point Groups (thresholds that trigger stage changes) are documented as Salesforce Flow entry conditions or assignment rules for the customer's admin to rebuild.

Mautic

Tag

maps to

Salesforce Sales Cloud

Multi-Select Picklist or custom tag field

lossy
Fully supported

Mautic Tags are flat string labels applied to contacts and other objects. Tags with fewer than 150 unique values migrate to a Salesforce multi-select picklist on Contact or Lead. Tags exceeding 150 unique values migrate to a custom text field tag_list__c storing comma-separated values, or to Salesforce Topics with TopicAssignment records if the customer licenses the Topic model. Tag-based segmentation logic is preserved as a filter definition attached to the relevant Campaign or Report.

Mautic

Custom Object

maps to

Salesforce Sales Cloud

Custom Object (__c)

1:1
Fully supported

Mautic Custom Objects extend the data model beyond standard contacts and companies. Relationships between custom objects use junction tables in Mautic's MySQL schema (the Relationships API is documented as broken). We access the junction table records directly from the database, pre-create the destination Salesforce custom object schema with all custom fields and lookup relationships, then import the custom object records with foreign key references resolved to Salesforce record IDs at migration time. Custom object naming uses the __c suffix per Salesforce convention.

Mautic

Asset

maps to

Salesforce Sales Cloud

ContentDocument

1:1
Fully supported

Mautic Assets are downloadable files (PDFs, guides, media) stored as binary blobs in the Mautic database or filesystem. We export asset metadata (filename, title, description, download count, storage path) and create Salesforce ContentDocument records with the file stored as ContentVersion. The asset's download URL is preserved as an external link on the ContentDocument if the Mautic instance remains accessible post-migration.

Mautic

Landing Page

maps to

Salesforce Sales Cloud

Campaign (rebuild reference)

1:1
Fully supported

Mautic Landing Pages are standalone web pages with theme assignments and tracking configuration. We export page content, URL slugs, theme names, and form embedding configurations as a structured reference document. Landing pages do not migrate as functional pages because Salesforce does not have a native landing page builder in Sales Cloud. We recommend Salesforce Experience Cloud, Marketing Cloud Landing Pages, or a CMS partner (Contentful, Webflow) as the replacement, and we provide the content export in a format suitable for re-import.

Mautic

User

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Mautic Users map to Salesforce User records by email address match. We extract all Mautic user records including role names, role permissions, and ownership assignments during scoping. User provisioning in the destination Salesforce org is a separate manual step the customer's admin completes before record migration, because active Salesforce Users must exist before OwnerId references can be resolved on Contacts, Leads, Accounts, and Opportunities.

Mautic

Category

maps to

Salesforce Sales Cloud

Topic or custom field

lossy
Fully supported

Mautic Categories group assets, campaigns, emails, and contacts into a hierarchical folder structure. We export the full category hierarchy as a JSON tree and reassign it to Salesforce Topics (Topic model) or to a custom text field category_path__c on each migrated record, depending on the destination org's data model complexity.

Mautic

Engagement: Email

maps to

Salesforce Sales Cloud

EmailMessage + Task

1:1
Fully supported

Mautic email engagement records (sends, opens, clicks, bounces) map to Salesforce EmailMessage records linked to a Task record on the contact or lead timeline. The email content, send timestamp, and engagement metrics (open count, click count) preserve as Salesforce fields. For Mautic emails linked to a Mautic Campaign, we create a Salesforce CampaignMember record if the contact maps to a Lead or Contact with a corresponding Salesforce Campaign.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • Mautic v6 CSV export fails silently on large datasets

    Mautic 6.0.0's CSV export function queues the file for processing but never delivers it via email and provides no error output in Apache or Mautic logs. We handle this by bypassing the built-in export entirely: we pull contact, company, campaign membership, and custom object data directly from the MySQL/MariaDB database using authenticated read access, or we call the REST API in batched requests with pagination handling. This ensures a reliable export regardless of the export queue failure. Before accessing the database, we profile index usage to flag any tables approaching MySQL's 64-index limit and coordinate with the customer to archive or restructure fields if needed.

  • Lead conversion workflow has no Mautic equivalent

    Mautic uses a single Contact object with a lifecycle stage property to track prospects through the funnel. Salesforce separates unqualified prospects into Leads and qualified buyers into Contacts attached to Accounts, with an explicit Convert action. We define the Lead-versus-Contact split rule during scoping based on the customer's Mautic lifecycle stage matrix, apply it as the first transform during migration, and preserve the original lifecycle stage in a custom field on both Lead and Contact for audit. Migrations that skip this design step end up with Contacts that have no Account (orphaned) or Leads that should have been converted on day one.

  • 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 the relationship data through the MySQL/MariaDB database schema directly, reading the junction table records (mautic_custom_object_relationship or equivalent), and mapping them to Salesforce lookup or junction objects during the custom object migration. This requires schema profiling of the Mautic database before migration to identify the correct junction table structure.

  • Mautic plugin and upgrade failures leave no diagnostic trail

    Mautic 5 to 5.0.2 upgrades can fail mid-process without writing any errors to the Apache error log or Mautic's internal log file, leaving no diagnostic trail. Additionally, Mautic 4 to 5 upgrades break third-party plugins without pre-upgrade compatibility validation. We handle this by taking a full filesystem and database snapshot of the source instance before any migration attempt, enabling us to restore the exact pre-migration state if the source instance encounters issues during scoping. The migration itself proceeds independently of the source Mautic upgrade path by reading directly from the live database or API.

  • Salesforce API access requires Enterprise or higher edition

    Mautic's REST API is available on all editions including Community. Salesforce's REST and Bulk API access is limited to Enterprise Edition, Unlimited Edition, Developer Edition, and Performance Edition. If the destination Salesforce org is on Professional, Group, or Essentials edition, API access for data migration is not available and the customer must upgrade before migration can proceed. We confirm the destination edition during discovery and flag any edition mismatch before signing off on the migration scope.

Migration approach

Six steps for a successful Mautic to Salesforce Sales Cloud data migration

  1. Discovery and source audit

    We audit the source Mautic instance across version (v4, v5, or v6), hosting model (self-hosted or Mautic Cloud), contact volume, custom field count, custom object count and their relationship structures, campaign count and membership volumes, segment filter definitions, active user count, and any installed plugins with Salesforce sync configurations. We confirm the destination Salesforce edition (must be Enterprise or higher for REST/Bulk API access) and identify any custom objects or junction tables in the Mautic MySQL schema that require direct database access. The discovery output is a written migration scope with object inventory, estimated row counts per object, and a confirmed Lead-versus-Contact split rule.

  2. Source data extraction bypassing v6 export

    We extract contact, company, campaign membership, stage, points, tag, custom object, and user data directly from the Mautic MySQL/MariaDB database using authenticated read access, or through batched REST API calls with pagination. We bypass the broken Mautic v6 CSV export entirely. For custom object relationships, we read junction table records directly from the database schema and reconstruct the relationship graph for Salesforce. We profile the database for index usage and flag any tables approaching MySQL's 64-index limit before extraction. We take a full filesystem and database snapshot before any extraction to enable rollback of the source instance if needed.

  3. Destination schema design and provisioning

    We design the Salesforce destination schema in a Sandbox org before production migration. This includes provisioning custom objects with __c API names, custom fields with type-mapped Salesforce field types, Record Types for any Mautic pipeline equivalents, Sales Processes for stage whitelists, and page layouts per Record Type. We create the lead_score__c numeric field for Mautic Points, the stage__c text field for original lifecycle stage preservation, and any multi-select picklists for Mautic Tags exceeding 150 unique values. Schema is deployed via Salesforce Metadata API or change set into the Sandbox first for validation.

  4. Sandbox migration and reconciliation

    We run a full migration into a Salesforce Sandbox using production-like data volume. The customer's RevOps lead reconciles record counts (Leads in, Contacts in, Accounts in, Campaigns in, CampaignMembers in, custom objects in), spot-checks 25-50 random records against the Mautic source, and validates the Lead-Contact split rule against the lifecycle stage matrix. Any field mapping corrections, custom object schema adjustments, or split rule refinements happen here in Sandbox before production migration begins. We also validate that Salesforce validation rules and field-level security do not reject records during the Sandbox run.

  5. User provisioning and owner reconciliation

    We extract every distinct Mautic user referenced on Contact, Company, Campaign, and Engagement records and match by email against the Salesforce destination org's User table. Users without a matching Salesforce User go to a reconciliation queue. The customer's Salesforce admin provisions any missing Users (active or inactive depending on whether the original Mautic user is still active) before production migration. OwnerId references on Contacts, Leads, Accounts, Opportunities, and Campaigns require resolved Users before record insert can proceed.

  6. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (from Mautic Companies), Leads and Contacts (with the lifecycle stage split applied and AccountId resolved on Contacts), Campaigns (with campaign definitions and dates), CampaignMembers (linked by resolved LeadId and ContactId), custom objects (with lookup relationships resolved to Salesforce record IDs), engagement history via Bulk API 2.0 (Tasks, Events, EmailMessages, Notes), Assets as ContentDocument records, and Tags as multi-select picklists or custom fields. Each phase emits a row-count reconciliation report before the next phase begins. We use Bulk API 2.0 with batch chunking, parent-record lookup resolution, and exponential backoff on API limit responses for activity history.

  7. Cutover, delta sync, and rebuild handoff

    We freeze Mautic writes during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver the automation and landing page inventory document listing every Mautic Workflow, Sequence, landing page, and report with a recommended Salesforce equivalent (Salesforce Flow, Experience Cloud, Marketing Cloud Landing Pages, or a CMS partner). We support a one-week hypercare window for reconciliation issues. We do not rebuild Mautic Workflows as Salesforce Flow inside the migration scope; that is 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.
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

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 Salesforce Sales Cloud.

  • 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 Salesforce Sales Cloud 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 Salesforce Sales Cloud data migrations

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

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Most migrations land between five and seven weeks for accounts under 50,000 Contacts with no custom objects, standard field mapping, and campaign membership preserved. Migrations exceeding 500,000 Contacts, hitting MySQL index limits on the source, requiring custom object schema with lookup relationships, or preserving large campaign membership histories move to ten to sixteen weeks because of database profiling, junction table extraction, Bulk API time for engagement history, and Sandbox validation cycles.

Adjacent paths

Related migrations to explore

Ready when you are

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