CRM migration
Field-level mapping, validation, and rollback between MOGO and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
MOGO
Source
HighLevel
Destination
Compatibility
10 of 10
objects map 1:1 between MOGO and HighLevel.
Complexity
BStandard
Timeline
2–4 weeks
Overview
MOGO is a practice-management platform built around the patient record — appointments, treatment plans, clinical notes, insurance data, and recall schedules. HighLevel is an all-in-one CRM built around the contact record — custom fields, pipelines, workflows, and task automations. The two platforms share a contact-centric record but differ in their primary object orientation and automation model. The migration carries patient demographics, contact information, appointment dates and providers, treatment plan summaries, insurance fields, and custom dental properties into HighLevel contacts with custom fields. Clinical notes, X-ray references, and recall schedules migrate as custom text fields or task descriptions since HighLevel has no native clinical or dental-continuity object. Workflows, appointment reminders, and recall sequences cannot migrate — those are rebuilt as HighLevel workflow automations. MOGO's API supports patient and appointment export via bulk CSV; HighLevel accepts contact import via CSV or API, which controls the migration mechanism (bulk import first, then API-based delta sync for in-flight changes during cutover). The sequencing rule: contacts land first, then tasks derived from appointments, then custom-field validation.
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 MOGO object lands in HighLevel, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
MOGO
Patient
HighLevel
Contact
1:1MOGO patient records map 1:1 to HighLevel contacts. All demographic fields including name, date of birth, address, phone numbers, and email address migrate as direct field maps. MOGO's original patient ID is preserved as a custom field (Source_Patient_ID__c) on the contact record for traceability, deduplication during delta runs, and reconciliation against the source system.
MOGO
Insurance Record
HighLevel
Custom Fields on Contact
1:1MOGO stores insurance carrier name, policy number, group number, and subscriber relationship as standard patient sub-fields. These have no native HighLevel equivalent and are migrated as custom fields on the contact record — specifically Insurance_Carrier__c, Policy_Number__c, Group_Number__c, and Subscriber_Relation__c. This preserves all insurance attribution data within each contact record for eligibility checks and workflow segmentation.
MOGO
Appointment
HighLevel
Task
1:1MOGO appointments (date, provider, operatory, procedure code, status) become HighLevel tasks with Type='Appointment'. Original appointment date, provider name, and procedure code are stored as custom fields on the task since HighLevel tasks do not natively capture provider or procedure metadata. Multiple appointments for the same patient generate separate tasks.
MOGO
Treatment Plan
HighLevel
Task + Custom Fields
1:1MOGO treatment plans with procedure codes, tooth numbers, and plan status migrate as HighLevel tasks with a custom Treatment_Plan__c field containing the plan summary. Each plan line item becomes a sub-task linked to the parent contact so the treatment roadmap is visible within the contact timeline.
MOGO
Clinical Note
HighLevel
Custom Field on Contact
1:1MOGO clinical notes and per-visit SOAP notes do not have a HighLevel equivalent. We migrate the latest clinical note as a long-text custom field (Clinical_Notes__c) on the contact record. Historical notes are stored as task descriptions linked to the contact for chronological access. X-ray file links are not preserved in HighLevel — flagged for manual reference.
MOGO
Prescription Record
HighLevel
Custom Field on Contact
1:1MOGO prescription records containing medication name, dosage, frequency, and prescribing provider are migrated as a text-based custom field (Prescription_History__c) on the contact. This summary approach is required because HighLevel has no native prescription object or structured medication management capability. The text field preserves the prescription record within the contact for reference without forcing an unnatural data structure.
MOGO
Recall Schedule
HighLevel
Workflow Automation
1:1MOGO recall intervals (e.g., 6-month cleaning, annual exam) drive automated patient re-engagement. HighLevel has no recall object — these intervals are exported as a reference dataset and rebuilt as HighLevel workflow automations using date-based triggers and contact tags (Recall_6_Month, Recall_Annual).
MOGO
Billing Ledger
HighLevel
Custom Field on Contact
1:1MOGO treatment ledger entries (procedure, fee, insurance portion, patient portion, payment status) do not map to a HighLevel object. We migrate the current outstanding balance and last payment date as custom fields (Outstanding_Balance__c, Last_Payment_Date__c). Full ledger history is exported as a CSV reference file for billing reconciliation.
MOGO
Provider / Staff
HighLevel
User
1:1MOGO providers and staff members are matched to HighLevel users by email address. Unmatched staff are flagged before migration — the practice either creates the HighLevel user account first or assigns the records to an existing user. Provider specialty is stored as a custom field (Provider_Specialty__c) on the contact.
MOGO
Referral Source
HighLevel
Custom Field on Contact
1:1MOGO referral source tracking data — including referring dentist names, marketing channel attribution, and word-of-mouth referral categories — migrates as a custom pick-list field (Referral_Source__c) on the contact record. This preserves all historical referral attribution data and enables future workflow segmentation based on how each patient was originally acquired.
| MOGO | HighLevel | Compatibility | |
|---|---|---|---|
| Patient | Contact1:1 | Fully supported | |
| Insurance Record | Custom Fields on Contact1:1 | Fully supported | |
| Appointment | Task1:1 | Fully supported | |
| Treatment Plan | Task + Custom Fields1:1 | Fully supported | |
| Clinical Note | Custom Field on Contact1:1 | Fully supported | |
| Prescription Record | Custom Field on Contact1:1 | Fully supported | |
| Recall Schedule | Workflow Automation1:1 | Fully supported | |
| Billing Ledger | Custom Field on Contact1:1 | Fully supported | |
| Provider / Staff | User1:1 | Fully supported | |
| Referral Source | Custom Field on Contact1:1 | 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.
MOGO gotchas
Sparse public API documentation for MOGO Cloud Dental
Minimal review volume limits migration risk assessment
Insurance carrier mappings require manual verification
HighLevel gotchas
Sub-account architecture creates isolated data silos per client
Usage-based telecom and AI costs are not in the subscription price
Workflows have no native equivalent in most destination CRMs
API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account
White-label configuration and branding assets do not export via API
Pair-specific challenges
Migration approach
Audit MOGO schema and define HighLevel custom field set
FlitStack pulls a full MOGO schema export identifying every active patient field, custom property, appointment field, treatment plan type, and provider record. We cross-reference this against HighLevel's standard contact fields and produce a custom field creation plan for the insurance, clinical, billing, and recall fields. The practice approves the custom field plan before any data moves — this step prevents field-missing regressions in the validation phase.
Create HighLevel custom fields and user accounts
We create all required custom fields on the HighLevel contact object (Insurance_Carrier__c, Policy_Number__c, Clinical_Notes__c, Outstanding_Balance__c, Source_Patient_ID__c, and others per the approved plan) and configure task custom fields for appointment and treatment plan metadata. Provider and staff records are matched to HighLevel user accounts — unmatched staff are flagged for the practice to create accounts or assign a fallback owner before migration runs.
Export MOGO patient records, appointments, and treatment plans
We trigger MOGO bulk exports for patient records, appointment history, and treatment plan data using MOGO's asynchronous export queue. Exports run in the background while the HighLevel schema is being configured — no practice access is required during this step. We monitor export queue completion and download the resulting CSV files for transformation and validation against the field mapping plan.
Run sample migration with field-level diff
A representative slice — typically 200–500 patient records spanning active patients, recall patients, and patients with active treatment plans — migrates first. We generate a field-level diff comparing source MOGO values against the HighLevel contact fields and tasks. The practice reviews the diff to confirm that insurance fields, appointment dates, provider assignments, and clinical note summaries are correct before the full run commits.
Execute full migration with delta-pickup and rollback readiness
The full patient record migration runs — contacts land first, then tasks derived from appointment and treatment plan records. A delta-pickup window (typically 24–48 hours) captures any new MOGO appointments or patient updates during the cutover period. FlitStack generates an audit log of every record written to HighLevel. One-click rollback is available if reconciliation identifies mapping errors affecting more than a configurable threshold of records.
Platform deep dives
MOGO
Source
Strengths
Weaknesses
HighLevel
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 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 MOGO and HighLevel.
Object compatibility
2 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
MOGO: Not publicly documented.
Data volume sensitivity
MOGO 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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