CRM migration
Field-level mapping, validation, and rollback between Sensei Cloud and Mailchimp. We move data and schema; workflows are rebuilt natively in Mailchimp.
Sensei Cloud
Source
Mailchimp
Destination
Compatibility
10 of 10
objects map 1:1 between Sensei Cloud and Mailchimp.
Complexity
BStandard
Timeline
48–72 hours
Overview
Sensei Cloud is a cloud-based dental practice management platform built around the patient record — storing demographics, clinical notes, treatment plans, imaging, insurance claims, and appointment histories. Mailchimp is an email marketing platform organized around the contact record, where contact properties live as merge fields and segmentation uses tags and audience-level filters. The two platforms share almost no data vocabulary. We map patient contact records, appointment metadata, and treatment-code labels into Mailchimp contacts with custom merge fields. Sensitive clinical data — imaging, treatment plans, clinical notes, insurance claims — has no Mailchimp equivalent and is flagged as non-migratable or preserved as reference documentation outside the platform. Sensei Cloud lacks a native Mailchimp connector, so data extraction proceeds via API or CSV export depending on your tier and API access level. We run a test migration against a representative slice before committing the full dataset, and a 24–48 hour delta window captures any new contacts created during cutover so your Mailchimp audience reflects Sensei Cloud's final state at go-live.
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 Sensei Cloud 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.
Sensei Cloud
Patient
Mailchimp
Contact
1:1Patient contact records map 1:1 to Mailchimp contacts. Every record requires a valid email address — patients without email are flagged as non-migratable and tracked in a separate export. First name, last name, email, phone, and address fields migrate to Mailchimp's standard contact fields.
Sensei Cloud
Patient (no email on file)
Mailchimp
Contact
1:1Mailchimp contacts are keyed by email address. Patients without a documented email cannot be created as contacts. We flag these records, report their count, and surface them as a pre-migration action item so your team can collect addresses before the migration window closes.
Sensei Cloud
Insurance Record
Mailchimp
Contact (merge fields)
1:1Insurance carrier name, group number, and plan type have no native Mailchimp fields. These migrate to custom merge fields on the contact record as text fields. Policy numbers are stored as custom fields with a note flagging them as sensitive — we recommend excluding them from email content personalization before go-live.
Sensei Cloud
Appointment
Mailchimp
Contact (merge fields)
1:1Appointment date and procedure type have no Mailchimp equivalent. These become date and text merge fields on the contact record, enabling Mailchimp automation triggers for appointment-reminder sequences. One appointment per contact maps cleanly; patients with multiple appointments use the most recent.
Sensei Cloud
Recall Interval
Mailchimp
Contact (merge field + tag)
1:1Recall interval (months until next recommended visit) maps to a custom number field on the contact. Mailchimp automation triggers off this field for recall campaigns. The recall status — active, due, overdue — maps as a Mailchimp tag so the audience can be segmented without relying on date-comparison logic in the automation builder.
Sensei Cloud
Treatment Plan
Mailchimp
None
1:1Treatment plans and procedure codes are clinical data with no Mailchimp equivalent. They do not migrate. We document this as a scoping decision during discovery, provide a full export of treatment-plan data as a reference file, and recommend that clinical staff continue referencing Sensei Cloud for treatment history.
Sensei Cloud
Insurance Claim
Mailchimp
None
1:1Insurance claims, adjudication history, and payment records are billing data with no Mailchimp equivalent. These do not migrate. Claims data remains in Sensei Cloud. We can export a claims summary as a reference file for practices that need to reconcile billing history after cutover.
Sensei Cloud
Clinical Notes
Mailchimp
None
1:1Clinical notes, clinical images, and radiographs have no Mailchimp equivalent and are excluded from the migration scope on PHI and HIPAA grounds. We document this scope boundary explicitly in the migration plan so there is no expectation that clinical documentation transfers to the email platform.
Sensei Cloud
Referral Source
Mailchimp
Contact (tag)
1:1Referral source tracked in Sensei Cloud (e.g., Google Ads, referral partner, walk-in) maps to Mailchimp tags on the contact record. This preserves the segmentation value of referral tracking and enables Mailchimp to segment campaigns by acquisition source. If referral source is stored as a free-text field, we standardize values during data cleaning before applying tags.
Sensei Cloud
Attachment / Imaging File
Mailchimp
None
1:1Files and images attached to patient records in Sensei Cloud do not have a Mailchimp equivalent. Attachments are excluded from migration. We recommend maintaining the Sensei Cloud archive for clinical record retention compliance and can provide an export of all attachment filenames as a reference index.
| Sensei Cloud | Mailchimp | Compatibility | |
|---|---|---|---|
| Patient | Contact1:1 | Fully supported | |
| Patient (no email on file) | Contact1:1 | Fully supported | |
| Insurance Record | Contact (merge fields)1:1 | Fully supported | |
| Appointment | Contact (merge fields)1:1 | Fully supported | |
| Recall Interval | Contact (merge field + tag)1:1 | Fully supported | |
| Treatment Plan | None1:1 | Fully supported | |
| Insurance Claim | None1:1 | Fully supported | |
| Clinical Notes | None1:1 | Fully supported | |
| Referral Source | Contact (tag)1:1 | Fully supported | |
| Attachment / Imaging File | None1:1 | 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.
Sensei Cloud gotchas
Legacy conversion leaves messy patient and chart duplicates
Chrome-only browser support affects migration workstation compatibility
Imaging data requires separate Carestream-format conversion pipeline
Billing ledger errors cannot be corrected post-creation
Provider assignments sometimes stored as text rather than foreign key
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
Assess data inventory and export options
We audit your Sensei Cloud data inventory to identify all patient records, custom fields, recall configurations, and appointment histories. We confirm your Sensei Cloud tier and API access level to determine whether extraction proceeds via API or CSV export. We run an email-presence query to count records with and without email addresses — this drives the pre-migration outreach decision. We also document all custom field names and types to cross-reference against Mailchimp's 40-merge-field cap. The output is a data inventory report with a go/no-go decision point before any extraction begins.
Clean and deduplicate contact records
Raw patient exports from Sensei Cloud frequently contain duplicate records, formatting inconsistencies in phone numbers and addresses, and placeholder emails (e.g., [email protected]). We run a cleaning pass that deduplicates by email address, standardizes phone number formats, validates email syntax, and flags hard bounces before import. Records with no email are separated into a non-migrated export with a count and field summary. This step runs in parallel with Mailchimp merge field setup and typically adds 4–8 hours to the project timeline for practices with significant data quality issues.
Set up Mailchimp merge fields and audience structure
Before any contact data loads, we configure Mailchimp merge fields to match the Sensei Cloud data model — appointment date, procedure type, recall interval, recall status, last visit date, insurance carrier, and other custom fields get created as text, number, or date merge fields in your Mailchimp audience. We apply a prioritization rubric if your custom field count exceeds Mailchimp's 40-field cap, and we document the deferral decision. We also create the tag categories that will represent recall status and referral source segmentation.
Run sample migration with field-level verification
A representative slice of 100–500 records migrates first — spanning records with complete data, records with missing fields, records with special characters in names or addresses, and records at different recall-status values. We generate a field-level verification report showing source field values alongside the corresponding Mailchimp merge field values so you can confirm that appointment dates, recall intervals, and tag applications are correct before the full run commits. This is your sign-off checkpoint before bulk import.
Execute full import with delta-pickup
The full contact dataset loads into Mailchimp. Recall status and referral source tags are applied in bulk. Appointment-date merge fields populate so the recall-automation triggers can reference them. A delta-pickup window of 24–48 hours captures any new contacts created or updated in Sensei Cloud during the cutover window. Non-migrated records (no email) are delivered as a separate export with field summaries. We apply one-click rollback if reconciliation identifies unexpected gaps, and we deliver a full audit log of every operation performed during the migration.
Validate, reconcile, and deliver rebuild reference
We run a post-migration validation comparing total record counts, field-level completeness, and tag-application accuracy between Sensei Cloud and Mailchimp. Any records that failed import are reported with error reasons. We deliver a rebuild reference document that maps each Sensei Cloud recall workflow to a Mailchimp automation trigger, so your team can rebuild appointment-reminder and recall sequences in Mailchimp's automation builder. The final deliverable package includes the audit log, non-migrated records export, merge field setup summary, and the automation rebuild guide.
Platform deep dives
Sensei Cloud
Source
Strengths
Weaknesses
Mailchimp
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Sensei Cloud and Mailchimp.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Sensei Cloud and Mailchimp.
Object compatibility
All 8 core objects map 1:1 between Sensei Cloud 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
Sensei Cloud: Not publicly documented.
Data volume sensitivity
Sensei Cloud 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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