CRM migration
Field-level mapping, validation, and rollback between Unim and Mailchimp. We move data and schema; workflows are rebuilt natively in Mailchimp.
Unim
Source
Mailchimp
Destination
Compatibility
5 of 8
objects map 1:1 between Unim and Mailchimp.
Complexity
CModerate
Timeline
2-3 weeks
Overview
Unim and Mailchimp occupy different positions in the marketing stack. Unim is a custom-built CRM with a schema unique to each deployment; Mailchimp is an email marketing platform organized around Audiences and Tags. The migration requires a discovery phase to enumerate the live Unim schema, a field-classification phase to map each custom field to a Mailchimp merge field (text, number, date, or phone) or a Tag, and a suppression-phase to export unsubscribed and bounced contacts before import to protect deliverability. We do not migrate Unim's workflows, automations, or bespoke object relationships because they have no equivalents in Mailchimp's audience-centric model. We deliver a written inventory of Unim custom objects requiring manual re-entry in Mailchimp or a supplemental CRM.
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 Unim 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.
Unim
Contact
Mailchimp
Audience Member
1:1Unim Contacts map to Mailchimp Members within a single target Audience. Email address serves as the primary dedupe key. First name and last name map to FNAME and LNAME merge fields. We resolve any null email addresses and flag them for the customer's admin before import to prevent silently skipped records. Opt-in status migrates from Unim's subscription property or lifecycle stage to Mailchimp's Subscribed status; unsubscribed contacts from Unim are exported as a suppression list and imported separately to protect deliverability.
Unim
Company
Mailchimp
Merge Fields or Tags on Member
1:manyUnim Companies do not have a direct equivalent in Mailchimp's flat audience model. Company name maps to a text merge field (COMPANY) on the Member record. If the migration scope includes company-level data that needs to remain queryable, we discuss splitting into multiple Audiences (one per company) or using Tags (tagged by company name) for segmentation. The customer's admin chooses the strategy during scoping.
Unim
Custom Fields
Mailchimp
Merge Fields
lossyEach Unim custom field discovered during schema introspection is classified by datatype: text fields under 255 characters map directly to Mailchimp text merge fields; text fields over 255 characters are truncated with a note to the admin or migrated as Tags; date fields map to Mailchimp date merge fields; numeric fields map to number merge fields; phone fields map to the PHONE merge field. Fields with complex datatypes (dropdowns, multi-selects) map to Mailchimp Tags with the value as the tag name.
Unim
Owner/User
Mailchimp
Mailchimp Admin User (out of scope)
1:1Unim Owner IDs are instance-scoped and not portable. Mailchimp does not have a record-owner model comparable to CRM platforms. We extract owner names as a text merge field (OWNER) for reference, but no user mapping occurs. Owner records requiring preservation are documented for the customer's admin to cross-reference manually in Mailchimp.
Unim
Activities (Calls, Emails, Meetings)
Mailchimp
Not migratable
1:1Unim activity records (calls, emails, meetings, tasks, notes) are CRM-native engagement objects with no equivalent in Mailchimp's audience model. Mailchimp tracks opens, clicks, and campaign sends but not a contact-level activity timeline. We do not migrate activity history. We deliver a written export of the engagement volume per Contact for the customer's awareness and for potential re-entry in a supplemental CRM if needed.
Unim
Files/Attachments
Mailchimp
Not migratable
1:1Unim attachments are served via the Files dimension with separate binary extraction calls. Mailchimp does not store file attachments on Member records. We extract attachment metadata (filename, URL, linked Contact) and deliver it as a CSV inventory. The customer's admin decides whether to re-upload assets to a CMS or cloud storage and link them manually.
Unim
Custom Objects
Mailchimp
Merge Fields, Tags, or external system
lossyUnim bespoke object types discovered during schema introspection that have no direct Mailchimp equivalent are classified: if the object has a 1:1 relationship with Contact (e.g., Subscription, Membership), the fields migrate as merge fields on the Member; if the object has a 1:N relationship (e.g., multiple Policy records per Contact), we migrate the primary record as merge fields and the related records as a JSON payload in a custom field or a separate CSV inventory. Complex relational schemas are documented for rebuild in a supplemental CRM.
Unim
Tags/Labels
Mailchimp
Tags
1:1Unim tag associations stored as linked records or array fields migrate to Mailchimp Tags on the corresponding Member. Tags serve as the primary segmentation mechanism in Mailchimp and support multi-value assignment per Member. We preserve the full tag-to-record linkage as a tag assignment payload during import.
| Unim | Mailchimp | Compatibility | |
|---|---|---|---|
| Contact | Audience Member1:1 | Fully supported | |
| Company | Merge Fields or Tags on Member1:many | Fully supported | |
| Custom Fields | Merge Fieldslossy | Fully supported | |
| Owner/User | Mailchimp Admin User (out of scope)1:1 | Fully supported | |
| Activities (Calls, Emails, Meetings) | Not migratable1:1 | Fully supported | |
| Files/Attachments | Not migratable1:1 | Mapping required | |
| Custom Objects | Merge Fields, Tags, or external systemlossy | Mapping required | |
| Tags/Labels | Tags1:1 | Mapping required |
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.
Unim gotchas
Every Unim instance has a unique custom field schema
Custom field datatypes require a separate lookup call
No public API documentation for the core business objects
File attachment extraction requires a separate Files API call
Owner/user IDs are instance-scoped and not portable
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
Schema discovery and field inventory
We introspect the live Unim API to enumerate the active schema: standard objects (Contact, Company, Activity), custom fields on each object, bespoke object types, tag associations, and owner references. We query the custom-fields endpoint to resolve DataType IDs and ModelID references. The output is a field-level inventory with datatype, nullable flag, and estimated cardinality for each field. This phase gates all subsequent work.
Destination planning and Mailchimp setup
We create or verify the target Mailchimp Audience and configure merge fields to match the Unim schema where feasible. Fields exceeding 255 characters are flagged with a truncation or tag strategy. We extract suppressed contacts (unsubscribed, bounced, cleaned) from Unim and prepare a suppression import to run before the main Member migration. We coordinate with the customer's Mailchimp admin to ensure the API key has audience write permissions.
Data extraction and transformation
We extract Contact records from Unim in batches, applying the field-to-merge-field mapping defined in the discovery phase. Owner references are resolved to text strings for the OWNER merge field. Custom object fields are classified as merge fields, Tags, or documented gaps. All extracted records are written to a staging CSV with Mailchimp-compatible column headers. Records with null email addresses are isolated in a separate error log.
Sandbox migration and reconciliation
If the customer has a Mailchimp test audience, we run the full import against it first and reconcile record counts, field population, and tag assignment. The customer spot-checks 25-50 records against the Unim source. Any mapping corrections (wrong field type, missing merge field, tag strategy change) are resolved in staging before the production import. This step is optional but strongly recommended for migrations over 2,000 contacts.
Production migration and suppression import
We run the suppression list import first to ensure the suppression list is populated before any active Members land. Then we run the main Member import in batches with error logging. Mailchimp's import report identifies any records skipped due to syntax errors, duplicate email addresses, or malformed data. We resolve errors in a correction pass and re-import. The final step is a row-count reconciliation comparing imported Members to source Contacts.
Deliverables handoff and cleanup
We deliver the complete object inventory: Contacts migrated with merge field mapping, Tags assigned, suppressed contacts handled, and a CSV of any unmigrated or truncated fields. We deliver the workflow inventory document listing Unim automations requiring rebuild in Mailchimp Customer Journeys. We do not rebuild Journeys as part of the migration scope. We support a 48-hour post-migration window for import error resolution.
Platform deep dives
Unim
Source
Strengths
Weaknesses
Mailchimp
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 4 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Unim and Mailchimp.
Object compatibility
4 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
Unim: Not publicly documented — confirmed during integration scoping..
Data volume sensitivity
Unim 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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