CRM migration
Field-level mapping, validation, and rollback between Fieldy and HubSpot. We move data and schema; workflows are rebuilt natively in HubSpot.
Fieldy
Source
HubSpot
Destination
Compatibility
8 of 10
objects map 1:1 between Fieldy and HubSpot.
Complexity
BStandard
Timeline
3–5 days
Overview
Fieldy structures field service around jobs, quotes, invoices, staff, and locations. HubSpot models sales around contacts, companies, deals, and tickets. These are different data architectures. We map Fieldy's job records to a HubSpot custom object (Jobs__c), Fieldy's quotes to HubSpot deals, Fieldy's invoices to custom fields on those deals, and Fieldy's staff records to HubSpot contacts with a Service_Technician__c flag. Custom properties for job status values, appointment times, GPS coordinates, and payment methods migrate as HubSpot custom fields. HubSpot has no native field-service calendar — scheduling data becomes custom datetime fields that your team rebuilds in HubSpot's Meetings tool or a third-party calendar integration. Automations, integrations with QuickBooks or Stripe, and reporting dashboards do not migrate — we export definitions for your HubSpot admin to rebuild. We use HubSpot's API to write records, sequence the migration as accounts → contacts → jobs → quotes, run a sample migration with field-level diff, then cut over with a delta-pickup window capturing in-flight changes.
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 Fieldy object lands in HubSpot, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Fieldy
Contact (Fieldy)
HubSpot
Contact
1:1Fieldy contact records — including name, email, phone, and address — map directly to HubSpot contact properties using the same data types. Staff members flagged as customers are also created as HubSpot contacts, preserving their original creation timestamps and last‑modified dates so the full audit trail is available in HubSpot after migration.
Fieldy
Company
HubSpot
Company
1:1Fieldy company entries — containing the company name, domain, address, and industry — map to HubSpot company properties using matching field names. Service‑site companies defined in Fieldy are linked to the primary customer company record in HubSpot, maintaining the hierarchical relationship between sites and the parent organization.
Fieldy
Job
HubSpot
Custom Object: Jobs__c
1:1Fieldy's native job object has no direct equivalent in HubSpot, so we create a Jobs__c custom object and define fields that mirror the original schema: job name, status, type, priority, appointment time, technician assignment, and GPS coordinates. The original Fieldy job ID is preserved as a custom field (Source_System_Job_ID__c) to support traceability and to enable delta‑run de‑duplication during subsequent data loads.
Fieldy
Job Status
HubSpot
Custom Field: Job_Status__c (on Jobs__c)
1:1Fieldy's status values — scheduled, in_progress, completed, cancelled — are mapped into a custom picklist field (Job_Status__c) on the Jobs__c custom object. Because HubSpot lacks native job‑status automation, each status transition rule must be rebuilt manually in HubSpot Workflows, with triggers defined for time‑based or action‑based changes to reflect the original scheduling logic.
Fieldy
Quote
HubSpot
Deal
1:1Fieldy quotes represent pre‑service sales opportunities and are mapped to HubSpot deals, preserving the quote amount, status, and discount percentage as deal fields. We store the original quote status in a custom picklist field (Quote_Status__c) and the discount percentage in a custom number field (Discount_Pct__c) to keep all quote metadata intact after migration.
Fieldy
Quote Line Item
HubSpot
Custom Field: Line_Item_Count__c (on Deal)
many:1Multiple line items attached to a single Fieldy quote are consolidated into a HubSpot deal by storing a line‑item count in a custom integer field (Line_Item_Count__c). The detailed product names and descriptions for each line item are captured in a custom long‑text field on the deal record, ensuring the full quote context is preserved for reference and reporting.
Fieldy
Invoice
HubSpot
Custom Fields on Deal (Invoice_Total__c, Invoice_Status__c)
many:1Fieldy invoices, along with their totals, payment statuses, and amounts, migrate as custom fields on the associated HubSpot deal: Invoice_Total__c, Invoice_Status__c, and Amount_Paid__c. This approach merges separate invoice records from Fieldy into deal‑level billing fields, allowing your team to view payment history directly within the deal record without maintaining a separate invoice object.
Fieldy
Staff
HubSpot
Contact + Custom Fields (Service_Technician__c, Role__c)
1:1Fieldy staff records are converted to HubSpot contacts with the Service_Technician__c checkbox set to true and a custom Role__c field capturing their title. Staff members who do not have a corresponding customer profile are created as contacts only, preserving their name, email, phone, and role information for workforce management within HubSpot.
Fieldy
Team
HubSpot
Custom Junction Object or Custom Field on Contact
1:1Fieldy teams — which group technicians for scheduling and dispatch — have no native equivalent in HubSpot, so we either create a Teams__c custom object to store team details and link it to contacts via a junction relationship, or we attach a custom pick‑list field (Team__c) on the staff contact record, depending on the complexity of your team hierarchy.
Fieldy
Location
HubSpot
Company address + custom geo fields
1:1Fieldy location records — containing the service address, city, state, zip, and country — are attached to the HubSpot company as standard address fields. GPS latitude and longitude captured in Fieldy map to HubSpot's native geo coordinates or are stored as custom number fields on the company record for use in routing and map‑based visualizations.
| Fieldy | HubSpot | Compatibility | |
|---|---|---|---|
| Contact (Fieldy) | Contact1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Job | Custom Object: Jobs__c1:1 | Fully supported | |
| Job Status | Custom Field: Job_Status__c (on Jobs__c)1:1 | Fully supported | |
| Quote | Deal1:1 | Fully supported | |
| Quote Line Item | Custom Field: Line_Item_Count__c (on Deal)many:1 | Fully supported | |
| Invoice | Custom Fields on Deal (Invoice_Total__c, Invoice_Status__c)many:1 | Fully supported | |
| Staff | Contact + Custom Fields (Service_Technician__c, Role__c)1:1 | Fully supported | |
| Team | Custom Junction Object or Custom Field on Contact1:1 | Fully supported | |
| Location | Company address + custom geo fields1:1 | 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.
Fieldy gotchas
No documented public API or bulk export endpoint
Custom workflow automations do not export as portable rules
Pricing tiers and per-user limits not publicly confirmed
HubSpot gotchas
Marketing Contacts billing model is migration-critical
Feature tier gating is not visible until onboarding
Mandatory onboarding fees inflate year-one cost
HubSpot CSV importer cannot migrate engagements or attachments
Custom objects require Enterprise and a pre-existing schema
Pair-specific challenges
Migration approach
Connect Fieldy and HubSpot via API
We authenticate against both platforms using scoped API credentials that provide read‑only access to Fieldy jobs, quotes, invoices, staff, teams, and locations, and write access to HubSpot contacts, companies, deals, and custom objects. Before any data is written, we export the complete Fieldy schema to capture every field, data type, and relationship, giving you an auditable inventory of what will be migrated and ensuring nothing is overlooked.
Design HubSpot custom objects and fields
We create the Jobs__c custom object in HubSpot with fields mirroring Fieldy's job schema: Job_Name__c, Job_Status__c, Job_Type__c, Job_Priority__c, Appointment_Time__c, Technician_Assignment__c, and GPS coordinate fields. Invoice fields (Invoice_Total__c, Invoice_Status__c, Amount_Paid__c, Payment_Method__c) are added to the deal object or as a separate custom object per your chosen mapping strategy, and staff custom fields (Service_Technician__c, Role__c, Team__c) are added to the contact record. Each field is configured with the correct data type, required flag, and default value to match Fieldy's original behavior.
Map and validate all fields
Every Fieldy field receives a named destination in HubSpot — direct fields, value‑mapped picklist fields, custom fields, and junction objects — and we document each mapping in a field‑level mapping sheet for your review before any data moves. Edge cases such as GPS coordinate merging, payment‑method value translation, team‑staff junction relationships, and multi‑value custom properties are flagged, discussed, and resolved in collaboration with your team to ensure data integrity and downstream reporting accuracy.
Run sample migration with field-level diff
A representative slice of records — typically 50–200 covering a cross‑section of job statuses, quote amounts, invoice payment states, and staff roles — migrates to HubSpot first. We produce a field‑level diff that compares each source Fieldy value against its destination HubSpot counterpart, highlighting any discrepancies in mapping, data type, or value translation. Your team reviews the diff output, validates job‑status labeling, technician assignments, and invoice totals, and signs off before the full migration run commits, ensuring confidence in data fidelity.
Execute full migration with delta-pickup window
Full migration runs to HubSpot once sample validation is signed off. A delta‑pickup window of 24–48 hours captures any new jobs, updated quotes, or invoice payments created in Fieldy during the cutover. We validate record counts against Fieldy baselines, run association checks (every job linked to a company and contact), and confirm invoice totals match deal amounts. One‑click rollback is available if reconciliation finds discrepancies beyond agreed tolerances.
Platform deep dives
Fieldy
Source
Strengths
Weaknesses
HubSpot
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 Fieldy and HubSpot.
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
Fieldy: Not publicly documented..
Data volume sensitivity
Fieldy 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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