CRM migration
Field-level mapping, validation, and rollback between tab32 and Mailchimp. We move data and schema; workflows are rebuilt natively in Mailchimp.
tab32
Source
Mailchimp
Destination
Compatibility
13 of 13
objects map 1:1 between tab32 and Mailchimp.
Complexity
BStandard
Timeline
48–72 hours
Overview
tab32 is a cloud-based dental practice management system built for DSOs and multi-location dental groups. Its data model centers on patients, appointments, clinical records, billing transactions, and provider assignments. Mailchimp is an email marketing platform organized around audiences (lists), contacts, tags, and custom fields — it has no native concept of clinical records, treatment plans, appointment slots, or billing ledgers. A migration from tab32 to Mailchimp is fundamentally a contact-data migration: patient names, email addresses, phone numbers, postal addresses, and any custom dental properties that drive marketing segmentation. Clinical records (x-rays, periodontal charts, treatment plans), insurance data, billing ledgers, and appointment schedules have no Mailchimp equivalent and must be handled under a separate HIPAA-compliant workflow — FlitStack flags these as out-of-scope with explicit documentation. We extract tab32 records via the platform's export API, map patient demographics to Mailchimp standard fields, create custom merge-field equivalents for dental-specific properties (e.g., last-visit date, preferred location, treatment-interest flags), and load into Mailchimp audiences. Duplicate detection by email address prevents list bloat. A delta-pickup window captures any new patient sign-ups during cutover.
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 tab32 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.
tab32
Patient
Mailchimp
Contact (Mailchimp Audience Member)
1:1Mailchimp contacts map directly from tab32 patient records. Email address is the unique key in Mailchimp — we match by patient email to resolve duplicates. Patients without email addresses are flagged for manual review or excluded per your preference, since Mailchimp requires an email for audience membership.
tab32
Patient Demographics (first name, last name)
Mailchimp
Merge Fields (FNAME, LNAME)
1:1tab32 first-name and last-name fields map to Mailchimp's standard FNAME and LNAME merge fields. Mailchimp uses these in email personalization tokens (e.g., *|FNAME|*). If tab32 stores names in a single field, we split by common delimiters before loading. Name parsing handles standard dental office conventions including suffixes like DDS or DMD when stored with patient names.
tab32
Patient Email Address
Mailchimp
Email Address (Contact Identifier)
1:1Patient email in tab32 becomes the Mailchimp contact email — the primary identifier for all Mailchimp sends. We deduplicate by email during import; if the same email appears multiple times in tab32, we keep the most recent record's demographics and flag for review.
tab32
Patient Phone Number
Mailchimp
Merge Field (PHONE)
1:1Phone numbers migrate to Mailchimp's PHONE merge field type. Mailchimp stores phone as free-text; we validate format (E.164 recommended) but do not enforce SMS opt-in — that consent flag must be set separately in Mailchimp's compliance settings. Number formatting normalization is applied to remove extraneous characters before import.
tab32
Patient Mailing Address
Mailchimp
Merge Field (ADDRESS type)
1:1tab32 address components (street, city, state, ZIP, country) map to Mailchimp's structured ADDRESS merge field. This enables geographic segmentation in Mailchimp (e.g., filter by state for regional recall campaigns). We parse tab32's address string into components before loading. Incomplete address records are flagged for manual cleanup or excluded from geographic segmentation logic.
tab32
Last Visit / Last Procedure Date
Mailchimp
Custom Merge Field (LAST_VISIT_DATE)
1:1tab32 tracks last-appointment dates per patient. Mailchimp has no native clinical-field equivalent. We create a DATE-type custom merge field (LAST_VISIT_DATE__c) for recare segmentation — for example, targeting patients with last-visit > 6 months ago for recall campaigns. Original timestamp preserved.
tab32
Treatment Interest / Service Category
Mailchimp
Tags + Custom Merge Field (TREATMENT_INTEREST)
1:1If tab32 tracks patient interest in specific services (e.g., cosmetic dentistry, implants, orthodontics), we migrate these as both Mailchimp tags (for journey segmentation) and a multi-select custom field. Tags are additive; Mailchimp allows unlimited tags per contact. We recommend establishing a standardized tag taxonomy during pre-migration planning to ensure consistent naming across all imported records.
tab32
Practice Location ID
Mailchimp
Custom Merge Field (PRIMARY_LOCATION)
1:1tab32's multi-location DSO structure uses location IDs per patient. We create a TEXT-type merge field (PRIMARY_LOCATION__c) so Mailchimp campaigns can segment by which practice a patient belongs to. For large DSOs, we recommend splitting by location into separate Mailchimp audiences instead.
tab32
Patient Opt-In / Communication Preferences
Mailchimp
Mailchimp GDPR/Consent Fields
1:1tab32's SMS/email consent flags map to Mailchimp's EUGDPR_* merge fields and consent status. If tab32 tracks marketing email consent separately from appointment reminders, we map the marketing-specific consent flag. Mailchimp's consent model is all-or-nothing per contact — multiple consent types require custom fields.
tab32
Insurance Carrier / PPO Plan
Mailchimp
Custom Merge Field (INSURANCE_PLAN)
1:1Insurance data has no Mailchimp equivalent and is generally not needed for email marketing. We preserve it as a TEXT custom field (INSURANCE_PLAN__c) for reference if your team wants to segment recall campaigns by insurance type. Flag: do not include in marketing sends without patient consent.
tab32
Clinical Records / X-rays / Perio Charts
Mailchimp
No equivalent
1:1tab32's clinical data (treatment plans, x-rays, periodontal charting, clinical notes) has zero Mailchimp equivalent — Mailchimp is an email marketing platform, not a health record. These records must remain in tab32 or a HIPAA-compliant alternative. We document them as out-of-scope and do not export them to Mailchimp.
tab32
Appointment Schedules
Mailchimp
No equivalent
1:1Appointment slot data in tab32 does not map to Mailchimp. Future appointment information can trigger Mailchimp automations via API integration, but the appointment records themselves (date, time, provider, procedure code) stay in tab32. We create a custom field (NEXT_APPOINTMENT_DATE) if tab32 exposes this for marketing-trigger use.
tab32
Billing / Ledger Data
Mailchimp
No equivalent
1:1tab32 billing ledgers, outstanding balances, and payment histories have no Mailchimp equivalent and should not be exported to an email marketing platform. Mailchimp Business tier's BAA does not cover financial records — billing data remains in tab32 for HIPAA and PCI compliance. We flag all billing fields as excluded.
| tab32 | Mailchimp | Compatibility | |
|---|---|---|---|
| Patient | Contact (Mailchimp Audience Member)1:1 | Fully supported | |
| Patient Demographics (first name, last name) | Merge Fields (FNAME, LNAME)1:1 | Fully supported | |
| Patient Email Address | Email Address (Contact Identifier)1:1 | Fully supported | |
| Patient Phone Number | Merge Field (PHONE)1:1 | Fully supported | |
| Patient Mailing Address | Merge Field (ADDRESS type)1:1 | Fully supported | |
| Last Visit / Last Procedure Date | Custom Merge Field (LAST_VISIT_DATE)1:1 | Fully supported | |
| Treatment Interest / Service Category | Tags + Custom Merge Field (TREATMENT_INTEREST)1:1 | Fully supported | |
| Practice Location ID | Custom Merge Field (PRIMARY_LOCATION)1:1 | Fully supported | |
| Patient Opt-In / Communication Preferences | Mailchimp GDPR/Consent Fields1:1 | Fully supported | |
| Insurance Carrier / PPO Plan | Custom Merge Field (INSURANCE_PLAN)1:1 | Fully supported | |
| Clinical Records / X-rays / Perio Charts | No equivalent1:1 | Fully supported | |
| Appointment Schedules | No equivalent1:1 | Fully supported | |
| Billing / Ledger Data | No equivalent1:1 | 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.
tab32 gotchas
Data quality inheritance blocks clean migration
DSO multi-location structure requires explicit office mapping
Imaging data lives outside the standard export path
Fee schedule consolidation is a pre-migration prerequisite
Training and support model assumes daytime availability
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
Pre-migration data audit and scope lock
We extract a full patient roster from tab32 via the Open Data Warehousing API or CSV export, then profile the data for completeness: email address coverage rate, phone coverage, address completeness, custom property inventory, and unsubscribed-contact flags. We identify PHI fields (clinical notes, x-ray references, billing ledgers) and formally exclude them from the migration scope with documentation. We also identify duplicate-email cases and patients with no email address. The audit output is a migration scope document you approve before any data moves.
Mailchimp audience and merge field creation
Based on the scope document, we create the Mailchimp audience(s) and all required merge fields before importing data. This includes FNAME, LNAME, PHONE, ADDRESS (standard Mailchimp fields), plus custom merge fields for LAST_VISIT_DATE, PRIMARY_LOCATION, TREATMENT_INTEREST, INSURANCE_PLAN, CONTACT_PREF, PATIENT_STATUS, TAB32_ID, and TAB32_CREATED_DATE. If you operate multiple DSO locations, we map tab32 location IDs to Mailchimp audiences or tags per your chosen split strategy. Merge field types (TEXT, DATE, NUMBER, PHONE, ADDRESS) are set at creation — changing type post-import requires deleting and recreating the field.
Sample migration with field-level validation
A representative slice (typically 200–500 patient records spanning multiple locations and patient statuses) migrates into the Mailchimp audience first. We validate: email address deliverability, merge field population rates, tag assignment for treatment interests and patient status, and unsubscribe status propagation. You receive a field-level diff report showing source values vs. Mailchimp field values for each sampled record. Any mapping corrections (e.g., date format mismatches, address parsing errors, tag naming) are applied before the full run. This step typically runs over 24–48 hours to allow for review and sign-off.
Full migration with delta-pickup window
The full patient roster migrates into Mailchimp using the validated mapping from the sample step. During the cutover window (typically 24–48 hours), any new patients added to tab32 are captured in a delta run — we re-export tab32 for new or modified records and import them into Mailchimp to ensure the audience reflects the final state at go-live. Duplicate emails are resolved per your chosen merge policy. We log every imported contact with its source system ID for audit traceability. After the delta run, we provide a final reconciliation report: total contacts imported, excluded (no email), flagged for review, and delta contacts captured.
Post-migration validation and workflow rebuild reference
We validate the Mailchimp audience against the tab32 source record count and provide a discrepancy report. We export the migration field map and custom field definitions as a reference document for your Mailchimp admin. Because Mailchimp automations (welcome series, recall journeys, birthday campaigns) do not migrate from any source system, we provide a written rebuild guide: the logic for recare automation triggers based on LAST_VISIT_DATE, the tag taxonomy for treatment-interest segments, and the suppression rules for unsubscribed and no-contact-preference patients. FlitStack AI does not rebuild Mailchimp automations — this guide is a reference for your team or a Mailchimp partner.
Platform deep dives
tab32
Source
Strengths
Weaknesses
Mailchimp
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between tab32 and Mailchimp.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across tab32 and Mailchimp.
Object compatibility
All 8 core objects map 1:1 between tab32 and Mailchimp.
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
tab32: Not publicly documented.
Data volume sensitivity
tab32 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 tab32 to Mailchimp migration scoping. Not seeing yours? Book a call.
Walk through your tab32 to Mailchimp migration with a real engineer — 30 minutes, free, written quote within 24 hours.
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