CRM migration
Field-level mapping, validation, and rollback between Mautic and Mailchimp. We move data and schema; workflows are rebuilt natively in Mailchimp.
Mautic
Source
Mailchimp
Destination
Compatibility
6 of 8
objects map 1:1 between Mautic and Mailchimp.
Complexity
BStandard
Timeline
1-2 weeks
Overview
Moving from Mautic to Mailchimp is a data consolidation migration, not a like-for-like platform switch. Mautic is a full marketing automation suite with CRM capabilities, custom objects, lead scoring, multi-channel campaigns, and self-hosted deployment options. Mailchimp is a cloud email marketing platform organized around Audiences (contacts), Campaigns, Templates, and Customer Journeys (automations). The platforms share contact records, tags, and segment logic, but diverge sharply on custom objects, lead scoring, companies, stages, and campaign automation architecture. We map Mautic Contacts to Mailchimp Audience members with all standard and custom contact fields translated to Mailchimp merge fields. Mautic Companies have no direct Mailchimp equivalent and are stored as merge field blocks. Mautic Tags migrate as Mailchimp Tags. Segments export as filter definitions that the customer rebuilds as Mailchimp Segments. Campaigns migrate as campaign metadata (name, send date, open rate, click rate) but not the underlying automation logic. Mautic Custom Objects, Points, Stages, Landing Pages, Assets, and Reports do not migrate. We deliver a written inventory of these non-portable objects for the customer's admin to rebuild in Mailchimp.
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 Mailchimp, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Mautic
Contact
Mailchimp
Audience Member
1:1Mautic Contact records map directly to Mailchimp Audience members. All standard fields (email, firstname, lastname, phone, title, city, state, country, company) map to their Mailchimp merge field equivalents. Custom contact fields map to Mailchimp merge fields with type conversion: text fields to text merge fields, date fields to date merge fields, number fields to number merge fields. The primary key is the contact email address. We resolve any duplicate email addresses during import by matching on email and updating existing Audience members rather than creating duplicates.
Mautic
Company
Mailchimp
Audience Merge Field Block
many:1Mautic Company records have no direct Mailchimp equivalent because Mailchimp has no native company or account object. We flatten company data into the contact record: company name becomes the COMPANY merge field, and company address fields (street, city, state, zip, country) are stored in a structured merge field block or appended as text fields on the contact. One-to-many contact-to-company relationships in Mautic (a contact can belong to multiple companies) cannot be preserved in Mailchimp; we attach the primary company record only and note the limitation for the customer's CRM integration plan.
Mautic
Tag
Mailchimp
Tag
1:1Mautic Tags are flat string labels applied to contacts. They map directly to Mailchimp Tags, which are applied identically to Audience members. All tag names and memberships transfer without transformation. Tag-based segmentation in Mautic does not carry over as active segment definitions; the customer rebuilds segment logic in Mailchimp Segments using the same tag conditions.
Mautic
Segment
Mailchimp
Segment (rebuild required)
lossyMautic Segments are dynamic contact lists defined by filter rules (field values, tags, behaviors, campaign membership). We export the segment name, description, and full filter definition logic in a written specification document. Mailchimp Segments must be rebuilt manually using Mailchimp's segment builder because the filter condition syntax differs between platforms. The segment membership itself is recalculated at migration time after contacts are in Mailchimp, using the exported filter rules as the rebuild guide.
Mautic
Campaign
Mailchimp
Campaign (metadata only)
1:1Mautic Campaigns (automation workflows) and Email Campaigns (single sends) have different structures in Mailchimp. We export campaign metadata: campaign name, send date, subject line, from name, open rate, click rate, bounce rate, and unsubscribe count. This metadata is delivered as a CSV inventory for the customer's reporting records. The campaign automation logic (triggers, conditions, delays, actions) does not transfer to Mailchimp Customer Journeys because the workflow architectures are incompatible. We document each Mautic campaign's automation steps in a written rebuild guide for Mailchimp Customer Journeys.
Mautic
Form
Mailchimp
Signup Form (rebuild recommended)
1:1Mautic Forms collect contact data and trigger actions on submission. We export form definitions including field configurations, field types, and submission logic. Mailchimp's embedded signup forms provide a comparable field builder but with different validation rules and styling constraints. We deliver a form field mapping document that pairs each Mautic form field with its Mailchimp equivalent. Form submission actions (adding to a segment, updating a field, triggering a campaign) do not migrate; the customer rebuilds these actions in Mailchimp's form settings or automation triggers.
Mautic
Asset
Mailchimp
Not Migrated
1:1Mautic Assets are downloadable files managed within the platform (PDFs, guides, media). Mailchimp does not have a native file asset management system. Asset metadata (file name, URL, description, download count) is exported as a CSV inventory. The files themselves must be migrated separately to a CMS, file hosting service, or Mailchimp's content studio if the customer uses Mailchimp's paid tiers with content storage. We provide the asset inventory and URL mapping during migration but do not migrate binary files as standard scope.
Mautic
Custom Object
Mailchimp
Not Migrated
1:1Mautic Custom Objects extend the data model beyond standard contacts and companies, supporting relationships between object types. Mailchimp has no custom object or relationship model; the platform supports only standard subscriber profiles with merge fields. Any Mautic Custom Object records, relationship definitions, and junction table data cannot be migrated to Mailchimp. We export the custom object schema, field definitions, and a sample of records as a CSV deliverable. The customer's admin decides how to handle this data post-migration: it may be stored in an external database, a CRM, or a custom Mailchimp integration.
| Mautic | Mailchimp | Compatibility | |
|---|---|---|---|
| Contact | Audience Member1:1 | Fully supported | |
| Company | Audience Merge Field Blockmany:1 | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Segment | Segment (rebuild required)lossy | Fully supported | |
| Campaign | Campaign (metadata only)1:1 | Fully supported | |
| Form | Signup Form (rebuild recommended)1:1 | Fully supported | |
| Asset | Not Migrated1:1 | Fully supported | |
| Custom Object | Not Migrated1:1 | 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
Mailchimp gotchas
Contact count includes unsubscribed and non-subscribed records
Automation workflows cannot be exported
Account suspensions trigger silently during migration
Template HTML is Mailchimp-specific and may not render in other platforms
E-commerce data requires active store connection
Pair-specific challenges
Migration approach
Discovery and data audit
We audit the source Mautic instance for contact volume, custom contact field count, company records, segments, campaigns, tags, forms, custom objects, assets, and Mautic version. We identify the Mautic export path: direct database access for v6.0.0 instances where the CSV export is broken, or API-based extraction for v4 and v5 instances where the export function is reliable. We also identify any Mautic instances running MySQL/MariaDB with index saturation that may require field archiving before extraction. The discovery output is a written scope document specifying which objects migrate, which export as CSV inventories, and which are non-portable.
Merge field design in Mailchimp
Before any data moves, we configure the destination Mailchimp Audience's merge fields to match the incoming Mautic contact schema. We map every standard and custom Mautic contact field to a Mailchimp merge field with the appropriate type (text, number, date, address, phone). We also create merge fields for company data (flattened from Mautic Company records) and for any Mautic Points or Stage values that the customer wants preserved as reference data. Merge field setup is done in the Mailchimp Audience settings before migration begins so the import process has a valid target schema.
Contact extraction and deduplication
We extract contacts from Mautic via direct database query (v6.0.0) or the Mautic REST API in batched requests (v4/v5). We resolve duplicate email addresses by identifying the most recent contact record per email and flagging older records for the customer's review. If the customer has an existing Mailchimp Audience with overlapping subscribers, we coordinate a pre-migration audience cleanup to avoid duplicate member creation. The extracted contact data is transformed to match the Mailchimp merge field schema designed in step 2.
Audience import and reconciliation
We import contacts into the Mailchimp Audience using the Mailchimp API with batch processing and rate-limit handling. After import, we reconcile record counts against the source Mautic database query output: total contacts imported, contacts skipped (duplicates), tags applied, and any records that failed import due to data validation errors. We fix validation errors (invalid email formats, required field gaps) and reimport. The customer spot-checks 20-30 randomly selected records against the Mautic source for accuracy before the migration is accepted.
Segment and campaign inventory delivery
We deliver the written inventories: (1) Mautic Segment filter definitions as Mailchimp Segment rebuild specifications, (2) Mautic Campaign automation steps as Mailchimp Customer Journey rebuild guides, (3) Mautic Form field mappings as Mailchimp signup form rebuild references, (4) Mautic Custom Object schema and sample records as a CSV export, and (5) Mautic Asset file inventory with download URLs. These documents are the customer's manual rebuild guide; we do not rebuild segments, journeys, or forms as part of the migration scope.
Cutover and delta sync
We freeze writes to the source Mautic instance during the cutover window, run a final delta extraction of any contacts modified since the initial extraction, apply those changes to Mailchimp, and then point the sending domain and any integrations to Mailchimp as the active platform. We do not handle DNS changes, sending domain verification, or third-party integration reconfiguration as standard scope. We support a three-day hypercare window for reconciliation issues raised during the first send cycle.
Platform deep dives
Mautic
Source
Strengths
Weaknesses
Mailchimp
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 Mailchimp.
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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