CRM migration
Field-level mapping, validation, and rollback between Atomic CRM and Mailchimp. We move data and schema; workflows are rebuilt natively in Mailchimp.
Atomic CRM
Source
Mailchimp
Destination
Compatibility
3 of 8
objects map 1:1 between Atomic CRM and Mailchimp.
Complexity
BStandard
Timeline
1-2 weeks
Overview
Migrating from Atomic CRM to Mailchimp is a data-model reduction, not a lateral move. Atomic CRM stores Contacts, Companies, Deals, Notes, and Tasks in Postgres with custom fields added via Supabase Studio; Mailchimp organizes everything around a single Audience of contacts with Tags, Groups, and merge fields as the only segmentation mechanism. There is no Deals object, no pipeline view, and no native task or activity timeline in Mailchimp. We map Contacts to the Mailchimp Members endpoint with full field preservation, map Company data to merge fields, and encode Deal stage and Task type information as Tags or Groups so that sales and service context is not lost — even though it lives as metadata rather than a native object. File attachments stored in Supabase Storage require separate coordination. Automations, sequences, and workflow logic from Atomic CRM do not migrate; we deliver a written map for the customer's team to rebuild inside Mailchimp Automations.
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 Atomic CRM 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.
Atomic CRM
Contact
Mailchimp
Audience Member (Member endpoint)
1:1Atomic CRM Contacts map to Mailchimp Members via the Marketing API Members endpoint. Email address is the dedupe key. Standard fields (first name, last name, email, phone) map to FNAME, LNAME, EMAIL, PHONE merge fields. Any additional columns in the contacts Postgres table that are not standard Mailchimp fields are created as custom merge fields during migration setup. Status (subscribed/unsubscribed/cleaned) is inferred from the source record's email_verified and unsubscribed_at flags in Supabase.
Atomic CRM
Company
Mailchimp
Merge Fields + Tags
1:manyCompany records in Atomic CRM have no direct Mailchimp equivalent. We map Company name to the COMPANY merge field, and Company sector, size, website, and linkedin_url into additional merge fields or Tags. If a Contact has multiple associated Companies, we use the primary Company as the merge field source and add secondary company names as Tags for reference. Company-based segmentation in Mailchimp is achieved through tag filtering or group assignment rather than a native relationship.
Atomic CRM
Deal
Mailchimp
Tags (Deal-stage encoded)
lossyMailchimp has no Deals or Opportunities object. Deal records from Atomic CRM are encoded as Tags on the associated Contact member — for example, Tag: deal-stage=proposal-sent, Tag: deal-value=4500, Tag: deal-owner=alex. The actual deal amount and stage are not native fields; they live as tag metadata. If multiple Deal pipelines exist in Atomic CRM, we namespace tags by pipeline name (pipeline-saas:stage=negotiation) to preserve context. This encoding is documented during migration and the customer can choose to build a complementary external pipeline tracker if deal management is mission-critical.
Atomic CRM
Note
Mailchimp
Tags (Note reference)
lossyAtomic CRM Notes are free-text records linked to Contacts or Deals. Mailchimp has no native Notes object. We capture Notes as formatted Tags on the Contact (e.g., Tag: note=discussed-renewal-terms, Tag: note-date=2026-03-01) or as a written note attachment that the customer reviews post-migration. For migrations where note content is business-critical, we export a separate JSON sidecar file containing note text, timestamp, and author so the customer can load it into a wiki, Notion, or document management system alongside Mailchimp.
Atomic CRM
Task
Mailchimp
Tags (Task reference)
lossyTask records from Atomic CRM (Call, Email, Meeting types configured in CRM component props) have no Mailchimp equivalent. Task type and status are encoded as Tags on the Contact member: e.g., Tag: task-type=call, Tag: task-status=completed. The actual task body, due date, and assignee do not map natively. For task-heavy migrations, we recommend a separate project management integration or a written task export for manual review in Mailchimp.
Atomic CRM
Custom Fields (Supabase columns)
Mailchimp
Merge Fields (custom)
1:1Every non-standard column discovered in the Postgres contacts, companies, deals, notes, or tasks tables during schema audit is created as a Mailchimp merge field before data import. Merge field types are inferred from Postgres column types: text columns become text merge fields, boolean columns become text (Yes/No), date columns become date merge fields. Mailchimp allows up to 40 merge fields per audience on Standard and Premium plans, and 20 on Essentials; we flag any migration that exceeds this limit and propose a consolidation strategy (combining related fields into tags).
Atomic CRM
User (Owner)
Mailchimp
Tags (Owner reference)
1:1Atomic CRM Owner references (hubspot_owner_id or auth UUID) on Contacts, Deals, and Tasks are resolved to the owner's email address during scoping. Owner identity is encoded as a Tag on the Contact member (e.g., Tag: [email protected]) so that deal and task attribution is preserved even without a native user management model in Mailchimp. The customer should map these owner tags to Mailchimp Groups if they need team-based campaign targeting.
Atomic CRM
Attachments (Supabase Storage)
Mailchimp
External file reference
lossyAtomic CRM attachments stored in Supabase Storage buckets are not migrated into Mailchimp's file hosting. We export the Supabase Storage bucket contents separately (if present during scoping) and deliver a file inventory with a reference index linking each file to its source Contact record. The customer can host files externally and link to them from Mailchimp campaigns or the external reference document we deliver. Files stored outside Supabase (custom S3 buckets) require separate coordination and are outside standard migration scope.
| Atomic CRM | Mailchimp | Compatibility | |
|---|---|---|---|
| Contact | Audience Member (Member endpoint)1:1 | Fully supported | |
| Company | Merge Fields + Tags1:many | Fully supported | |
| Deal | Tags (Deal-stage encoded)lossy | Fully supported | |
| Note | Tags (Note reference)lossy | Fully supported | |
| Task | Tags (Task reference)lossy | Fully supported | |
| Custom Fields (Supabase columns) | Merge Fields (custom)1:1 | Fully supported | |
| User (Owner) | Tags (Owner reference)1:1 | Fully supported | |
| Attachments (Supabase Storage) | External file referencelossy | 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.
Atomic CRM gotchas
No hosted SaaS version — migration target is a Postgres database
Custom fields are schema changes, not UI-configured properties
CRM component props define business logic that lives in code, not data
No native file attachment export — storage backend varies by deployment
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 audit and configuration review
We connect to the customer's Supabase project via read-only credentials and inspect the Postgres schema for every table (contacts, companies, deals, notes, tasks) plus any custom columns added via Supabase Studio. We run a row-count audit and a null-rate analysis per field. We request the App.tsx or equivalent CRM component file to capture deal pipeline stages and task type enumerations. We inspect Supabase Storage for any attachment buckets. The audit output is a written schema inventory and a pre-migration data quality report identifying duplicates, missing emails, and GDPR-risk records.
Destination audience and merge field design
We design the Mailchimp destination audience before any data moves. This includes creating all required merge fields (mapped from Postgres column names and types), defining the tag naming convention for Deals, Notes, Tasks, and Owners, and configuring group structures if the customer uses a multi-brand or multi-department setup. We verify the customer's Mailchimp plan tier to confirm merge field limits. We export a merge field mapping matrix for the customer's review and sign-off before we create any destination resources.
Data cleansing and deduplication
We run data cleansing as a separate phase before import. Duplicate contacts (same email address) are flagged with a recommended resolution (most recent activity wins, most complete record wins, or highest deal value wins) and presented to the customer for a decision. Records with missing email addresses are excluded from the import and listed separately in the cleansing report. GDPR-risk records with no documented consent are flagged and held with Pending status pending the customer's instruction.
Merge field creation and sandbox import
We create merge fields in the Mailchimp destination audience via the Marketing API using the mapping matrix approved in step 2. We run a sandbox import of a representative sample (100-200 records) and validate that merge field values appear correctly, tags apply as expected, and status values (subscribed, unsubscribed, pending) map correctly. The customer spot-checks the sandbox audience before we proceed to full production import.
Production import with batch chunking
We run the full production import using the Mailchimp Marketing API with batch chunking sized to the customer's tier rate limit. Contacts import first (the primary member records), followed by Company merge field updates (batch-upsert by email address), followed by tag application for Deal stage, Note reference, Task type, and Owner attribution. We apply exponential backoff on 429 responses and retry failed records up to three times. Each batch emits a reconciliation report (records written vs. records attempted vs. records failed).
Cutover, validation, and automation rebuild handoff
We freeze writes to the Atomic CRM Supabase instance during the cutover window and run a final delta migration of any records created or modified since the initial export timestamp. We deliver a final reconciliation report comparing Atomic CRM record counts against Mailchimp audience member counts. We deliver the automation rebuild inventory — a written document listing every notable pattern from Atomic CRM (deal stage change triggers, task assignment logic, email-related CRM actions) and its recommended Mailchimp Automation equivalent. We do not build Mailchimp Automations as part of the migration scope. We support a 48-hour post-migration validation window for data quality issues raised by the customer's team.
Platform deep dives
Atomic CRM
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 Atomic CRM 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
Atomic CRM: Per Supabase rate limits applicable to your project tier.
Data volume sensitivity
Atomic CRM exposes a bulk API — large-volume migrations stream efficiently.
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
Answers to the questions buyers ask most during Atomic CRM to Mailchimp migration scoping. Not seeing yours? Book a call.
Walk through your Atomic CRM to Mailchimp migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave Atomic CRM
Other ways to arrive at Mailchimp
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.