CRM migration

Migrate from MOGO to Pipedrive

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

MOGO logo

MOGO

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

93%

14 of 15

objects map 1:1 between MOGO and Pipedrive.

Complexity

BStandard

Timeline

48–96 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Pipedrive logo

Pipedrive

What's pulling them in

  • Clean drag-and-drop pipeline interface with minimal learning curve, making it approachable for small sales teams without dedicated CRM admins.
  • Visual deal tracking keeps reps focused on next actions — activities, calls, and follow-up tasks surface directly in the pipeline view.
  • Strong integrations via Zapier and native marketplace apps let teams wire Pipedrive into Calendly, ActiveCampaign, and similar sales-stack tools.
  • Mobile apps for iOS and Android keep field reps connected to deals, contacts, and tasks without a desktop session.
  • Reputation and review volume — over 3,000 verified reviews across G2 and Capterra — signal reliability for teams evaluating CRM options.

Object mapping

How MOGO objects map to Pipedrive

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

maps to

Pipedrive

Person

1:1
Fully supported

MOGO 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

maps to

Pipedrive

Person → OwnerId

1:1
Fully supported

MOGO'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

maps to

Pipedrive

Organization

1:1
Fully supported

MOGO 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

maps to

Pipedrive

Activity

1:1
Fully supported

MOGO 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

maps to

Pipedrive

Deal

1:1
Fully supported

Completed 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

maps to

Pipedrive

Product

1:1
Fully supported

MOGO 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

maps to

Pipedrive

Deal

1:1
Fully supported

MOGO 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

maps to

Pipedrive

Deal

1:1
Fully supported

MOGO 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

maps to

Pipedrive

Activity

1:1
Fully supported

MOGO 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

maps to

Pipedrive

Organization

1:1
Fully supported

MOGO 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)

maps to

Pipedrive

Person custom field

1:1
Fully supported

Any 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)

maps to

Pipedrive

Deal custom field

1:1
Fully supported

MOGO 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

maps to

Pipedrive

Activity

1:1
Fully supported

MOGO 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

maps to

Pipedrive

Activity attachments

1:1
Fully supported

MOGO 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

maps to

Pipedrive

Organization

many:1
Fully supported

MOGO'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.

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

Pipedrive logo

Pipedrive gotchas

High

Custom field hash keys differ per account

High

Export access gated by visibility groups

Medium

Token-based API rate limits since December 2024

Medium

Sequences and Automations not exposed via REST API

Low

Cost escalates via workflow caps and add-ons

Pair-specific challenges

  • MOGO patient IDs must be preserved for delta-run de-duplication

    Pipedrive's API generates a new ID for every record created. If MOGO patient records are modified after the initial migration export but before the delta pickup window closes, FlitStack uses the MOGO patient ID stored in MOGO_Patient_ID__c to identify and update the correct Pipedrive Person record rather than creating a duplicate. Without this field, any records changed in MOGO during cutover risk landing as duplicates in Pipedrive. We create MOGO_Patient_ID__c as a custom field on Person before the full migration run and populate it with MOGO's internal patient identifier.

  • MOGO date fields require timezone normalization to Pipedrive UTC storage

    Pipedrive stores all dates and timestamps as UTC. MOGO stores appointment times in the practice's local timezone. FlitStack detects the MOGO timezone during the initial export profile, converts all appointment datetimes to UTC before writing to Pipedrive, and stores the original MOGO timezone in a custom field (MOGO_Timezone__c) on each Activity. Without this normalization, appointment Activities appear shifted by the UTC offset when viewed in Pipedrive's dashboard, which causes scheduling confusion for the front desk team after go-live.

  • Insurance billing fields have no native Pipedrive equivalent and require custom field strategy

    MOGO tracks insurance group numbers, subscriber IDs, claim submission dates, and claim status per patient. Pipedrive has no native fields for these concepts. FlitStack maps group numbers to a custom Organization field on the insurance carrier, subscriber IDs to custom fields on the Person record, and claim statuses to Activity records with type=InsuranceClaim. If your team relies on MOGO's insurance tracking dashboard to monitor open claims, that workflow has no Pipedrive equivalent and must be rebuilt using Pipedrive Activities filtered by the Claim_Status__c custom field — we surface this as a rebuild task in the migration plan.

  • MOGO recall and re-care intervals require Pipedrive automation rebuild

    MOGO's recall engine generates follow-up appointments based on configurable intervals (e.g., 6-month cleaning, 12-month exam). Pipedrive has no native recall or re-care scheduling feature. FlitStack migrates active recall records as Activity records with the next recall date as the due date, but Pipedrive does not automatically generate the subsequent follow-up after that date passes. Your team must configure Pipedrive automation rules to create the next recall Activity when the current one is marked complete — we provide the automation template as part of the post-migration documentation package.

  • Multi-phase treatment plans map to Deals with note-heavy structure rather than native phase tracking

    MOGO stores multi-phase treatment plans where each phase (Phase 1: scaling, Phase 2: crown prep, Phase 3: crown delivery) has its own date, provider, and fee. Pipedrive Deals do not have a native phase sub-object. FlitStack maps each phase to a separate Pipedrive Deal with a custom field Phase__c populated with the phase number, and a custom field Treatment_Plan_ID__c linking phases under the same plan. Your team can then build pipeline views segmented by phase number. The alternative — collapsing all phases into one Deal with a long notes field — sacrifices phase-level reporting and is not recommended.

Migration approach

Six steps for a successful MOGO to Pipedrive data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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

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
Pipedrive logo

Pipedrive

Destination

Strengths

  • Intuitive drag-and-drop pipeline that sales reps actually use without resistance or training overhead.
  • Per-seat unlimited-deals model on all tiers — reps cannot be blocked from logging activity.
  • Active marketplace with 400+ integrations and a documented REST API with OpenAPI 3 specs.
  • Mobile apps with offline access, call logging, and calendar sync keep field teams operational.
  • Strong focus on sales activity tracking — next-action reminders and follow-up scheduling are first-class features.

Weaknesses

  • No custom objects — teams needing non-standard data structures must work around the four standard entity types.
  • Workflow automation limits by tier (30, 60, 90 active workflows) force upgrades as processes grow.
  • No free permanent plan — teams evaluating fit must commit to a trial without a freemium option.
  • Limited advanced reporting and custom dashboard capabilities compared to HubSpot or Salesforce.
  • Export permissions are gated by visibility groups, meaning data scoping must account for who can see what before migration.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 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 Pipedrive.

  • Object compatibility

    B

    3 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 Pipedrive 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 Pipedrive data migrations

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

Can't find your answer?

Walk through your MOGO to Pipedrive migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most MOGO to Pipedrive migrations complete within 48–96 hours for a small practice with under 10,000 patient records. Larger datasets exceeding 10,000 records, 15 or more custom fields, multi-location setup, or extensive multi-phase treatment histories extend the timeline to 5–10 days. The longest phase is profiling the MOGO export and building the mapping plan; the actual data load runs in hours once that plan is approved.

Adjacent paths

Related migrations to explore

Ready when you are

Move from MOGO.
Land in Pipedrive, intact.

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