CRM migration
Field-level mapping, validation, and rollback between Data Team DDS and Mailchimp. We move data and schema; workflows are rebuilt natively in Mailchimp.
Data Team DDS
Source
Mailchimp
Destination
Compatibility
13 of 13
objects map 1:1 between Data Team DDS and Mailchimp.
Complexity
BStandard
Timeline
48–72 hours
Overview
Data Team DDS stores patient contact records, appointment metadata, and custom clinical fields in a relational schema optimized for practice management. Mailchimp organizes data as audiences (lists) with subscriber records, merge fields, and tags — a fundamentally different model built for email marketing rather than clinical operations. Teams migrate from Data Team DDS to Mailchimp when they want to run patient outreach, recall campaigns, or newsletter programs using the same contact base managed in their practice management system. The migration carries contact records (email address, first name, last name, phone, address), any tags or segments defined in Data Team DDS, and custom field values that map to Mailchimp merge fields. We do not migrate appointment histories, clinical notes, treatment plans, or billing records — those are clinical data constructs with no Mailchimp equivalent and must remain in Data Team DDS. We use Data Team DDS API exports to read your contact and custom field data, then bulk-import subscribers into Mailchimp audiences. A delta-pickup window captures any new or updated contacts during the cutover window. After migration, your Mailchimp admin rebuilds any automations, signup forms, or campaign templates using the exported field definitions as a reference.
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 Data Team DDS 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.
Data Team DDS
Patient Contact Record
Mailchimp
Mailchimp Subscriber
1:1Data Team DDS patient contact records map 1:1 to Mailchimp subscribers within a target audience. The email address field serves as the primary key for subscriber identity and deduplication during import. Phone and address fields map to standard Mailchimp merge fields.
Data Team DDS
Patient First Name
Mailchimp
FNAME Merge Field
1:1The patient first name stored in Data Team DDS maps directly to Mailchimp's built-in FNAME merge field. If your Data Team DDS setup uses a different internal field name, we map it to FNAME during import so Mailchimp's default personalization tokens function immediately.
Data Team DDS
Patient Last Name
Mailchimp
LNAME Merge Field
1:1The patient last name in Data Team DDS maps to Mailchimp's LNAME merge field. This is a direct passthrough with no transformation applied, ensuring that Mailchimp's default greeting personalization tags function correctly without additional configuration. The field content is preserved exactly as stored in the source system.
Data Team DDS
Patient Email Address
Mailchimp
Email Address (subscriber key)
1:1Email address is the primary identifier in Mailchimp and must be unique per audience. We deduplicate on email address during import, keeping the most recently updated record if duplicates exist in Data Team DDS. Hard bounces and unsubscribed addresses are flagged and excluded.
Data Team DDS
Patient Phone Number
Mailchimp
PHONE Merge Field
1:1Phone numbers stored in Data Team DDS map to Mailchimp's PHONE merge field. Mailchimp supports SMS marketing in some tiers — if SMS is enabled, we ensure phone numbers are E.164 formatted. If SMS is not active, PHONE is available for reference only.
Data Team DDS
Patient Address Fields (Street, City, State, ZIP)
Mailchimp
ADDR1, CITY, STATE, ZIP Merge Fields
1:1Data Team DDS address components map directly to Mailchimp's standard address merge fields. When Data Team DDS stores a consolidated address string instead of separate components, we parse and split it into individual fields before import. This ensures that Mailchimp's geolocation segmentation features function correctly and practices can leverage geographic targeting in their campaigns.
Data Team DDS
Data Team DDS Tag / Patient Segment
Mailchimp
Mailchimp Tag
1:1Patient segments or clinical tags defined in Data Team DDS (e.g., 'Ortho Patient', 'Recall Due', 'No-show Risk') are created as Mailchimp tags on each subscriber record during import. Tag names are carried over verbatim. If the source uses a hierarchical segment structure, we flatten it to individual tags per patient.
Data Team DDS
Data Team DDS Custom Field (text, number, date, pick-list)
Mailchimp
Mailchimp Merge Field
1:1Any Data Team DDS custom field on patient records requires a corresponding Mailchimp merge field to be pre-created in the destination audience before import. Text fields map to Mailchimp text merge fields with the 255-character limit enforced — longer values are truncated and flagged. Date fields map to date merge fields. Pick-list values map to radio or dropdown merge fields depending on value count.
Data Team DDS
Data Team DDS Patient Created Date
Mailchimp
Mailchimp Member Since (import metadata)
1:1Mailchimp's native subscriber timestamp is set at import time, not preserved from source. The original patient record creation date from Data Team DDS is stored as a custom merge field (e.g., Patient_Since_Date__c) so recall and age-based segments can reference the true onboarding date.
Data Team DDS
Data Team DDS Provider / Assigned Staff
Mailchimp
Mailchimp Tag or Merge Field
1:1If Data Team DDS tracks which provider or staff member is assigned to a patient, we map that relationship to a Mailchimp tag (e.g., 'Assigned: Dr. Smith') or a text merge field. This enables campaigns segmented by provider, which is common for specialty practices sending provider-specific newsletters.
Data Team DDS
Data Team DDS Insurance Status
Mailchimp
Mailchimp Merge Field (text or radio)
1:1Insurance carrier or coverage status stored in Data Team DDS maps to a Mailchimp merge field. The pick-list values from Data Team DDS become Mailchimp merge field options — we validate that value count does not exceed Mailchimp's 40-option limit for radio fields.
Data Team DDS
Appointment / Recall Data (appointment date, next recall)
Mailchimp
Mailchimp Automation Trigger (rebuilt in Mailchimp)
1:1Appointment schedules and recall dates are practice management data with no Mailchimp equivalent. We do not migrate active appointment records. Instead, we preserve the recall date as a merge field and provide your Mailchimp admin with a rebuild guide for Mailchimp automation workflows that trigger based on that date — such as automated 6-month recall emails.
Data Team DDS
Treatment History / Clinical Notes
Mailchimp
Not Migrated
1:1Treatment records, clinical notes, and procedure history are protected health information and practice management data with no functional equivalent in Mailchimp's email marketing model. These records must remain in Data Team DDS. The patient contact and segment data migrates independently.
| Data Team DDS | Mailchimp | Compatibility | |
|---|---|---|---|
| Patient Contact Record | Mailchimp Subscriber1:1 | Fully supported | |
| Patient First Name | FNAME Merge Field1:1 | Fully supported | |
| Patient Last Name | LNAME Merge Field1:1 | Fully supported | |
| Patient Email Address | Email Address (subscriber key)1:1 | Fully supported | |
| Patient Phone Number | PHONE Merge Field1:1 | Fully supported | |
| Patient Address Fields (Street, City, State, ZIP) | ADDR1, CITY, STATE, ZIP Merge Fields1:1 | Fully supported | |
| Data Team DDS Tag / Patient Segment | Mailchimp Tag1:1 | Fully supported | |
| Data Team DDS Custom Field (text, number, date, pick-list) | Mailchimp Merge Field1:1 | Fully supported | |
| Data Team DDS Patient Created Date | Mailchimp Member Since (import metadata)1:1 | Fully supported | |
| Data Team DDS Provider / Assigned Staff | Mailchimp Tag or Merge Field1:1 | Fully supported | |
| Data Team DDS Insurance Status | Mailchimp Merge Field (text or radio)1:1 | Fully supported | |
| Appointment / Recall Data (appointment date, next recall) | Mailchimp Automation Trigger (rebuilt in Mailchimp)1:1 | Fully supported | |
| Treatment History / Clinical Notes | 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.
Data Team DDS gotchas
No publicly documented public API found in research
Custom field schema varies per practice account
Insurance payer mappings are state and plan-specific
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
Audit Data Team DDS contact records and custom field schema
FlitStack AI connects to Data Team DDS via API using scoped read access and exports all patient contact records, custom field definitions, segment assignments, and tag metadata. We produce a data audit report listing record count, unique merge field names, data types, value distributions for pick-list fields, and the marketing consent coverage rate. This report drives the mapping plan and identifies fields that exceed Mailchimp's 255-character merge field limit before any data moves.
Design Mailchimp audience structure and pre-create merge fields
Based on the data audit, we create the target Mailchimp audience and pre-define all merge fields before import begins. Each Data Team DDS custom field gets a corresponding Mailchimp merge field with the correct type (text, number, date, radio, or dropdown). We validate pick-list value counts against Mailchimp's option limits and flag any fields that need a truncation or split strategy. This step ensures the destination schema is ready so the import runs without schema-lookup failures.
Clean and prepare data — consent filtering and deduplication
We apply the consent mapping strategy identified in the audit: patients without marketing consent are excluded or imported as unsubscribed, and email addresses are validated for deliverability (format check, domain check). We deduplicate on email address, keeping the record with the most recent updated_at timestamp. For patients with multiple tags or segment assignments, we apply all tags during this step. The cleaned export is validated against the merge field schema before bulk import.
Run sample migration and generate field-level diff
A representative slice of 100–500 records migrates into the Mailchimp audience first. We generate a field-level diff report comparing source values to the Mailchimp subscriber record, validating merge field population, tag assignment, and consent status. You review the diff and confirm the mapping is correct — particularly for truncated text fields, radio merge field values, and consent status. No full run commits until the sample diff is signed off.
Execute full migration with delta-pickup window and audit log
The full contact set migrates into Mailchimp via bulk import. A delta-pickup window (24–48 hours) runs concurrently, capturing any new or updated patient records created in Data Team DDS during the migration window. Every record operation is logged to an audit file. One-click rollback is available if the audit reveals critical mapping errors. After the window closes, you have a complete Mailchimp audience with all migrated patients and tags, and a rebuild reference document for your Mailchimp admin to set up recall automations.
Platform deep dives
Data Team DDS
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 Data Team DDS 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
Data Team DDS: Not publicly documented.
Data volume sensitivity
Data Team DDS 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
Answers to the questions buyers ask most during Data Team DDS to Mailchimp migration scoping. Not seeing yours? Book a call.
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