CRM migration
Field-level mapping, validation, and rollback between MOGO and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
MOGO
Source
Pipedrive
Destination
Compatibility
14 of 15
objects map 1:1 between MOGO and Pipedrive.
Complexity
BStandard
Timeline
48–96 hours
Overview
MOGO stores patient demographics, clinical records, appointment schedules, treatment histories, provider assignments, and billing data for dental practices. Pipedrive models relationships as Person, Organization, Deal, Activity, Product, and custom fields. The migration carries patient records into Pipedrive People, appointments into Activities with original timestamps and provider-owner links, treatment histories into Deals as line-item products, and custom clinical fields as Pipedrive custom fields on Person and Deal records. FlitStack extracts MOGO data via API, builds a field-level mapping plan that resolves MOGO's clinical data model into Pipedrive's relationship-oriented CRM structure, validates the mapping on a sample run, then executes the full load with a 24–48 hour delta pickup window capturing any records modified during cutover. Automations, appointment reminders, and recall sequences do not migrate — those must be rebuilt in Pipedrive using its automation rules or exported as a reference document for your team. The mapping plan also accounts for timezone normalization, ensuring appointment times reflect the correct UTC conversion in Pipedrive. Custom fields such as MOGO_Patient_ID__c are created in Pipedrive before the migration to preserve source traceability and enable delta-run de-duplication. After the full load, a 24–48 hour delta pickup captures any records created or modified in MOGO during cutover, minimizing data loss 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 MOGO object lands in Pipedrive, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
MOGO
Patient
Pipedrive
Person
1:1MOGO patient records map 1:1 to Pipedrive Person records. The patient's name, phone, email, address, and birth date migrate directly. MOGO patient IDs are preserved in Pipedrive as a custom field (MOGO_Patient_ID__c) for traceability and delta-run de-duplication. This custom field is created in Pipedrive before migration to ensure no duplicates during the delta pickup.
MOGO
Patient → Provider
Pipedrive
Person → OwnerId
1:1MOGO's primary provider assignment per patient becomes the Pipedrive Person owner. Provider email addresses are matched against Pipedrive users to resolve OwnerId. Unmatched providers are flagged before migration; your team can invite them to Pipedrive or assign records to a fallback owner.
MOGO
Insurance Provider
Pipedrive
Organization
1:1MOGO insurance carrier records (Delta Dental, MetLife, etc.) migrate to Pipedrive Organizations. The insurance carrier name becomes the Organization name. Patient-to-insurance assignments migrate as Person-to-Organization relationships in Pipedrive. Insurance group numbers and subscriber IDs are stored as custom fields on the Organization and Person records respectively, preserving billing context for each patient.
MOGO
Appointment
Pipedrive
Activity
1:1MOGO appointments become Pipedrive Activity records. The appointment date and time become the Activity due date; the appointment type (exam, cleaning, procedure) becomes the Activity subject. Provider assignment resolves to the Activity owner. Operatory and procedure codes are stored in custom fields on the Activity.
MOGO
Treatment Record
Pipedrive
Deal
1:1Completed treatment records in MOGO (filling, crown, root canal) map to Pipedrive Deals. The treatment fee becomes the Deal value. Treatment date becomes the Deal close date. Procedure codes and tooth numbers migrate as custom fields on the Deal. Active treatment plans map to open Deals; completed treatments map to Won Deals.
MOGO
Treatment Procedure
Pipedrive
Product
1:1MOGO procedure codes (D0140, D2750, etc.) map to Pipedrive Products. Each procedure has a name, ADA code, and fee — these become the Product name, code, and standard price. Deal-Product associations in Pipedrive replicate which procedures were part of which treatment case.
MOGO
Treatment Plan
Pipedrive
Deal
1:1MOGO multi-phase treatment plans (Phase 1: periodontal, Phase 2: restorative) map to a single Pipedrive Deal with all phases documented in the Deal notes and custom fields. Each phase can alternatively map to separate Deals linked by a custom text field, depending on your reporting needs.
MOGO
Billing / Payment Record
Pipedrive
Deal
1:1MOGO billing records (amount billed, amount paid, insurance portion, patient portion, balance) translate into Pipedrive Deal fields. The total fee becomes Deal amount; payments received are tracked as Deal updates. Outstanding balances require a custom field on the Deal since Pipedrive has no native accounts-receivable tracking.
MOGO
Insurance Claim
Pipedrive
Activity
1:1MOGO insurance claims with submission date, status, and payer response have no Pipedrive native equivalent. Claims are migrated as Activity records with type=InsuranceClaim, date submitted as due date, and claim status stored in a custom field. Your team rebuilds claims tracking in Pipedrive using Activities and custom fields.
MOGO
Referral Source
Pipedrive
Organization
1:1MOGO referral sources (other practices, corporate accounts, marketing campaigns) migrate to Pipedrive Organizations. The referring entity name becomes Organization name; referral-specific fields migrate as custom fields. Pipeline reports in Pipedrive can then segment revenue by referral source. This allows your team to track which referral channels drive the most treatment cases and adjust marketing spend accordingly.
MOGO
MOGO Custom Field (Patient)
Pipedrive
Person custom field
1:1Any MOGO custom field on patient records (clinical notes, medical history flags, HIPAA consent flags) requires a corresponding Pipedrive custom field on Person. We create these fields in Pipedrive before the migration run and map values field-by-field. Multi-select fields in MOGO are mapped to Pipedrive multiselect fields to maintain data integrity.
MOGO
MOGO Custom Field (Treatment)
Pipedrive
Deal custom field
1:1MOGO custom fields on treatment records (anesthesia type, material used, tooth numbers) migrate to Pipedrive Deal custom fields. Multi-select values in MOGO require Pipedrive multiselect custom fields; we create the field types to match the source data. This ensures that treatment-specific details such as anesthesia type and tooth numbers are preserved in Pipedrive for clinical reference.
MOGO
Recall / Re-care
Pipedrive
Activity
1:1MOGO recall intervals (6-month cleaning, annual exam) have no direct Pipedrive equivalent. Recalls are migrated as Activity records with the next recall date as the due date and a subject like Recall: Cleaning. Pipedrive's automation rules can be configured to create follow-up Activities based on these dates after migration.
MOGO
Document / Attachment
Pipedrive
Activity attachments
1:1MOGO attachments per patient or treatment record are downloaded and re-uploaded as Pipedrive Activity attachments. File size limits per Pipedrive's storage allocation apply. We preserve the original file name and uploaded date for reference. Attachments over Pipedrive's size limit are noted in the migration report for manual handling if needed.
MOGO
Practice / Location
Pipedrive
Organization
many:1MOGO's practice or office location data can be merged into a top-level Organization representing the practice itself, or mapped as a custom field on all Patient and Deal records for filtering. Multi-location setups use Organization hierarchies in Pipedrive. This structure enables location-specific pipeline reports and revenue tracking per office in Pipedrive.
| MOGO | Pipedrive | Compatibility | |
|---|---|---|---|
| Patient | Person1:1 | Fully supported | |
| Patient → Provider | Person → OwnerId1:1 | Fully supported | |
| Insurance Provider | Organization1:1 | Fully supported | |
| Appointment | Activity1:1 | Fully supported | |
| Treatment Record | Deal1:1 | Fully supported | |
| Treatment Procedure | Product1:1 | Fully supported | |
| Treatment Plan | Deal1:1 | Fully supported | |
| Billing / Payment Record | Deal1:1 | Fully supported | |
| Insurance Claim | Activity1:1 | Fully supported | |
| Referral Source | Organization1:1 | Fully supported | |
| MOGO Custom Field (Patient) | Person custom field1:1 | Fully supported | |
| MOGO Custom Field (Treatment) | Deal custom field1:1 | Fully supported | |
| Recall / Re-care | Activity1:1 | Fully supported | |
| Document / Attachment | Activity attachments1:1 | Fully supported | |
| Practice / Location | Organizationmany: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
Pipedrive gotchas
Custom field hash keys differ per account
Export access gated by visibility groups
Token-based API rate limits since December 2024
Sequences and Automations not exposed via REST API
Cost escalates via workflow caps and add-ons
Pair-specific challenges
Migration approach
Profile MOGO data export and build the mapping plan
FlitStack connects to MOGO via API and exports all patient records, appointments, treatment histories, insurance data, and custom fields. We profile the export to identify record counts per object, custom field types, timezone settings, and any data quality issues such as missing email addresses or duplicate patient names. The mapping plan documents how each MOGO object and field translates to Pipedrive's schema, including custom field creation requirements, owner resolution rules, and the value mappings for status fields. This plan is delivered for your review before any migration runs.
Create Pipedrive custom fields and resolve owner mappings
Before data lands in Pipedrive, FlitStack creates all required custom fields on Person, Organization, Deal, and Activity objects — including MOGO_Patient_ID__c, MOGO_Timezone__c, Tooth_Number__c, Claim_Status__c, and any other clinical fields identified during profiling. We also run the owner resolution process, matching MOGO provider email addresses against Pipedrive user accounts. Providers without Pipedrive accounts are flagged so your team can either invite them or assign their records to a fallback owner before migration commits.
Run sample migration with field-level diff
A representative slice of records — typically 100–300 patients spanning multiple providers and appointment types — migrates first. We generate a field-level diff report comparing source values in MOGO against the mapped values in Pipedrive, so you can verify that patient names, appointment dates, treatment fees, and custom field values landed correctly. Insurance field mapping, recall Activity creation, and deal status translation are all validated during this step. You approve the sample before the full run commits.
Execute full migration with delta-pickup and rollback
The full dataset migrates to Pipedrive using the validated mapping plan. A delta-pickup window of 24–48 hours runs after the initial load, capturing any new patients, appointments, or treatment records created in MOGO during the migration window. FlitStack maintains a full audit log of every record created and updated. If reconciliation reveals unexpected gaps, one-click rollback reverts all Pipedrive changes to the pre-migration state so your team can investigate and re-run.
Platform deep dives
MOGO
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 Pipedrive.
Object compatibility
3 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
Answers to the questions buyers ask most during MOGO to Pipedrive migration scoping. Not seeing yours? Book a call.
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