CRM migration

Migrate from MOGO to HighLevel

Field-level mapping, validation, and rollback between MOGO and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.

MOGO logo

MOGO

Source

HighLevel

Destination

HighLevel logo

Compatibility

100%

10 of 10

objects map 1:1 between MOGO and HighLevel.

Complexity

BStandard

Timeline

2–4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

MOGO logo

MOGO

What's pushing teams away

  • One reviewer noted that support is phone or YouTube-based, with video tutorials covering only basic setup for routine scenarios, leaving non-standard cases inadequately documented.
  • Error messages and screen prompts in the software contained typos and spelling errors, which some users found unprofessional in a clinical context.
  • Limited review volume on third-party platforms makes independent evaluation difficult, potentially masking broader dissatisfaction patterns that only surface during migration discovery.

Choosing

HighLevel logo

HighLevel

What's pulling them in

  • Agencies choose HighLevel to consolidate CRM, email, SMS, scheduling, and funnels into one subscription, eliminating monthly bills for five to ten separate SaaS tools they previously stitched together.
  • The flat-rate pricing model bills per sub-account rather than per contact, so growing a contact database from 1,000 to 100,000 records does not trigger a billing surprise—a common pain point avoided by migrating customers.
  • White-label and sub-account capabilities let agencies resell HighLevel access to their own clients, turning a software cost center into a recurring revenue stream that justifies the subscription.
  • The platform ships a 14-day free trial with no credit card required, giving teams a low-friction entry point to validate fit before committing to the $97/month Starter tier.
  • Marketing agencies managing multiple client accounts use sub-accounts to maintain data isolation per client while operating under a single agency billing relationship with HighLevel.

Object mapping

How MOGO objects map to HighLevel

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

maps to

HighLevel

Contact

1:1
Fully supported

MOGO 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

maps to

HighLevel

Custom Fields on Contact

1:1
Fully supported

MOGO 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

maps to

HighLevel

Task

1:1
Fully supported

MOGO 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

maps to

HighLevel

Task + Custom Fields

1:1
Fully supported

MOGO 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

maps to

HighLevel

Custom Field on Contact

1:1
Fully supported

MOGO 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

maps to

HighLevel

Custom Field on Contact

1:1
Fully supported

MOGO 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

maps to

HighLevel

Workflow Automation

1:1
Fully supported

MOGO 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

maps to

HighLevel

Custom Field on Contact

1:1
Fully supported

MOGO 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

maps to

HighLevel

User

1:1
Fully supported

MOGO 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

maps to

HighLevel

Custom Field on Contact

1:1
Fully supported

MOGO 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.

Gotchas + challenges

What specifically takes care here

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 logo

MOGO gotchas

High

Sparse public API documentation for MOGO Cloud Dental

Medium

Minimal review volume limits migration risk assessment

Medium

Insurance carrier mappings require manual verification

HighLevel logo

HighLevel gotchas

High

Sub-account architecture creates isolated data silos per client

High

Usage-based telecom and AI costs are not in the subscription price

Medium

Workflows have no native equivalent in most destination CRMs

Medium

API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account

Low

White-label configuration and branding assets do not export via API

Pair-specific challenges

  • Clinical notes and X-ray links have no HighLevel equivalent and require custom field strategy

    MOGO stores clinical notes, per-tooth charting, and X-ray file references as structured patient record fields. HighLevel has no clinical object and does not support file attachments as patient-record fields natively. FlitStack migrates the latest clinical note as a long-text custom field (Clinical_Notes__c) on the contact, stores historical notes as task descriptions, and flags X-ray file links as a manual reference item — the actual files do not transfer into HighLevel's document storage. Practices that rely on clinical note history for compliance or continuity should export a full clinical PDF from MOGO and attach it manually after migration.

  • Recall schedules do not map to any HighLevel object and must be rebuilt as workflow automations

    MOGO's recall system uses interval-based scheduling (6-month cleaning, annual exam, perio maintenance) to automatically trigger patient outreach. HighLevel has no recall or interval-tracking object — the underlying data must be exported as a structured CSV reference file and rebuilt as HighLevel workflow automations using date-field triggers and contact tags. The recall logic (which interval applies to which patient segment) is a planning deliverable, not a data migration item. We surface the recall mapping plan before migration runs so the practice can confirm the automation logic before go-live.

  • Appointment-to-task transformation loses operatory and multi-provider associations

    MOGO appointments carry operatory number, assistant assignment, and multi-provider co-treatment flags that HighLevel tasks do not natively support. When MOGO appointments map to HighLevel tasks, only the primary provider resolves to an Assigned To owner — operatory, assistant, and co-treatment associations are stored as custom text fields on the task. Practices using operatory-based scheduling need to either adopt HighLevel's Calendar feature (with round-robin or resource booking) or accept that the operatory context is preserved as a reference field rather than an active scheduling dimension.

  • Billing ledger data cannot migrate as structured records and requires manual reconciliation

    MOGO's treatment ledger tracks individual procedure fees, insurance adjustments, payments, and outstanding balances per patient. HighLevel has no billing or ledger object — only a balance summary can migrate as a custom currency field. The full treatment ledger history is exported as a CSV and left as a reference file for billing staff. Practices with active payment plans or outstanding balances must perform a manual audit after migration to confirm that HighLevel's Outstanding_Balance__c field matches MOGO's current balance before closing accounts receivable in the source system.

  • MOGO API export rate limits may extend cutover timelines for large practices

    MOGO's bulk export operates on a queued, asynchronous model that processes patient and appointment records in batches. Practices with more than 5,000 patient records may encounter export queue times of 24–48 hours for the initial data pull. HighLevel's contact import is similarly batched. FlitStack sequences the export and import runs to overlap where possible and runs a delta-pickup window (24–48 hours) after the main load to capture any appointments created in MOGO during the cutover. Large practices should plan for a 6–8 week engagement rather than the standard 2–4 week timeline.

Migration approach

Six steps for a successful MOGO to HighLevel data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Context on both ends of the pair

MOGO logo

MOGO

Source

Strengths

  • Mature, stable platform with 20+ years of operational history in dental practices
  • Low staff turnover in support and sales teams providing consistent human assistance
  • Intuitive and easy-to-learn interface for new practice staff
  • Active development with a published changelog and regular updates
  • Phone-based support as a primary channel for direct human help

Weaknesses

  • Documentation and video tutorials cover only routine basic scenarios
  • User-visible UI quality issues including typos in error messages and prompts
  • Very limited third-party review presence making independent evaluation difficult
  • Non-standard cases and advanced configurations lack adequate self-service documentation
  • Support is phone and YouTube-based with no integrated chat or ticket system visible
HighLevel logo

HighLevel

Destination

Strengths

  • Consolidates CRM, marketing automation, email, SMS, scheduling, and funnels into one platform at a predictable flat monthly rate.
  • Supports unlimited contacts and unlimited users on all paid tiers, removing per-record billing anxiety as databases grow.
  • Offers white-label and sub-account capabilities that let agencies resell access and manage multiple client environments under one billing relationship.
  • Includes built-in review management, reputation monitoring, and AI agents as native features rather than third-party add-ons.
  • Exports Contacts and Companies via a scalable async bulk CSV system that handles multi-million-row datasets without blocking the UI.

Weaknesses

  • The breadth of features creates a steep learning curve; advanced automations and Workflow configuration require significant time investment that smaller teams may not recover.
  • The platform charges usage-based fees for telecommunications and AI features that are not included in the base subscription, leading to bill surprises.
  • Recurring user reports on Reddit and G2 describe bugs, errors, and slow support response times that disrupt live marketing and sales operations.
  • Sub-account architecture, while powerful for agencies, adds migration complexity when identifying which client data lives in which isolated environment.
  • The platform is designed for agencies and SMBs; larger enterprises requiring deep reporting, custom objects at scale, or complex role-based access may outgrow its capabilities.

Complexity grading

How hard is this migration?

Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across MOGO and HighLevel.

  • Object compatibility

    B

    2 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    MOGO: Not publicly documented.

  • Data volume sensitivity

    B

    MOGO doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your MOGO to HighLevel migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about MOGO to HighLevel data migrations

Answers to the questions buyers ask most during MOGO to HighLevel migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Most MOGO-to-HighLevel migrations complete in 2–4 weeks of clock time for practices with fewer than 5,000 patient records. Larger practices with complex treatment histories, multiple providers, or extensive recall schedules extend to 6–8 weeks. The custom field planning step (step 1) and MOGO's async export queue are the longest individual stages — actual data movement takes hours, not days. The delta-pickup window adds 24–48 hours at the end but does not interrupt your team's use of MOGO during the engagement.

Adjacent paths

Related migrations to explore

Ready when you are

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