CRM migration

Migrate from Fieldy to HubSpot

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

Fieldy logo

Fieldy

Source

HubSpot

Destination

HubSpot logo

Compatibility

80%

8 of 10

objects map 1:1 between Fieldy and HubSpot.

Complexity

BStandard

Timeline

3–5 days

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Fieldy logo

Fieldy

What's pushing teams away

  • Lack of API documentation or public bulk export endpoint makes data portability a manual, error-prone process that frustrates teams with large historical records.
  • Limited third-party integration ecosystem compared to established FSM platforms, creating friction for businesses relying on accounting or ERP connections.
  • The white-label offering referenced in reviews suggests feature limitations that become apparent as businesses scale beyond basic field service needs.

Choosing

HubSpot logo

HubSpot

What's pulling them in

  • Lowest barrier to entry of any major CRM — the free tier with unlimited contacts lets teams validate fit before committing to a paid plan, according to G2 and Capterra reviewers.
  • Native integration between the CRM and sales engagement tools (sequences, email tracking, dialer) means no separate sync configuration, a theme across G2 Sales Hub reviews.
  • Pipeline visualization, deal tracking, and automated workflows are consistently praised as intuitive and easy to set up without developer involvement.
  • Strong onboarding for new team members — reviewers on Capterra and G2 highlight how quickly new reps become productive without formal training.
  • The HubSpot platform ecosystem (Marketing, Sales, Service, CMS hubs) allows growing companies to consolidate tools without building new integrations.

Object mapping

How Fieldy objects map to HubSpot

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)

maps to

HubSpot

Contact

1:1
Fully supported

Fieldy 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

maps to

HubSpot

Company

1:1
Fully supported

Fieldy 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

maps to

HubSpot

Custom Object: Jobs__c

1:1
Fully supported

Fieldy'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

maps to

HubSpot

Custom Field: Job_Status__c (on Jobs__c)

1:1
Fully supported

Fieldy'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

maps to

HubSpot

Deal

1:1
Fully supported

Fieldy 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

maps to

HubSpot

Custom Field: Line_Item_Count__c (on Deal)

many:1
Fully supported

Multiple 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

maps to

HubSpot

Custom Fields on Deal (Invoice_Total__c, Invoice_Status__c)

many:1
Fully supported

Fieldy 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

maps to

HubSpot

Contact + Custom Fields (Service_Technician__c, Role__c)

1:1
Fully supported

Fieldy 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

maps to

HubSpot

Custom Junction Object or Custom Field on Contact

1:1
Fully supported

Fieldy 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

maps to

HubSpot

Company address + custom geo fields

1:1
Fully supported

Fieldy 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.

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.

Fieldy logo

Fieldy gotchas

High

No documented public API or bulk export endpoint

Medium

Custom workflow automations do not export as portable rules

Low

Pricing tiers and per-user limits not publicly confirmed

HubSpot logo

HubSpot gotchas

High

Marketing Contacts billing model is migration-critical

High

Feature tier gating is not visible until onboarding

Medium

Mandatory onboarding fees inflate year-one cost

Medium

HubSpot CSV importer cannot migrate engagements or attachments

Medium

Custom objects require Enterprise and a pre-existing schema

Pair-specific challenges

  • Job status workflows require rebuild in HubSpot's automation tools

    Fieldy tracks job status as a workflow-driven property — scheduled jobs move to in_progress when a technician starts, then to completed or cancelled. HubSpot has no native job object and no equivalent status-transition automation for field service records. Job status migrates as a custom picklist field (Job_Status__c) on the Jobs__c custom object, but the automation logic — triggering status changes based on time, technician check-in, or customer confirmation — must be rebuilt from scratch in HubSpot Workflows, Automation, or a third-party scheduling tool like Jobber or ServiceTitan.

  • Scheduling data lacks a native HubSpot calendar destination

    Fieldy stores appointment times (scheduled_date), technician assignments (technician_assignment), and technician GPS coordinates (latitude, longitude) as structured fields per job record. HubSpot has no native field-service calendar — there is no equivalent to Fieldy's technician scheduling board or live location tracking. Appointment times and technician assignments migrate as custom datetime and text fields on Jobs__c. Your team rebuilds the scheduling and routing view using HubSpot Meetings, a third-party field-service app from HubSpot's marketplace, or an integration with tools like Route4Me or Geotab.

  • Invoices and quotes need explicit mapping strategy before migration

    Fieldy treats invoices and quotes as separate objects with their own lifecycles — quotes can be open, accepted, or rejected, and invoices track separate totals, payment statuses, and payment methods. HubSpot conflates these into the deal object — quotes map cleanly to deals, but invoices require a decision: either store invoice fields on the deal record (Invoice_Total__c, Invoice_Status__c) or maintain invoice records as a separate custom object. The choice affects how revenue is reported and whether your team can track partial payments against a deal. We surface this decision in the pre-migration plan.

  • HubSpot's per-seat plus contact-tier pricing changes your cost structure

    Fieldy's Starter plan is a flat per-seat subscription. HubSpot Sales Hub Starter is $15 per seat per month plus contact-based tiers where total contact volume determines which pricing band you fall into. Teams that use Fieldy primarily for internal staff (technicians, dispatchers) and have a smaller customer contact list may find HubSpot's model comparable or cheaper. Teams with large passive contact databases from marketing may hit higher tiers unexpectedly. We include a contact-volume audit in the pre-migration scope so your team understands the HubSpot billing picture before go-live.

Migration approach

Six steps for a successful Fieldy to HubSpot data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Context on both ends of the pair

Fieldy logo

Fieldy

Source

Strengths

  • Per-user pricing model that is budget-friendly for growing field service businesses, according to Fieldy's own positioning.
  • Real-time live location tracking for field technicians with scheduling and dispatch automation built in.
  • All-in-one quote-to-payment workflow consolidates what many SMBs manage across multiple disconnected tools.
  • Mobile and web access for field reps with instant onboarding and no mandatory credit card to start a trial.
  • Customizable workflows, checklists, forms, and notifications for 25+ industry verticals.

Weaknesses

  • No publicly documented API or bulk export endpoint, making data portability a manual process.
  • Limited integration ecosystem compared to larger FSM competitors like ServiceTitan or Jobber.
  • Feature set oriented toward small-to-mid businesses; white-label limitations become apparent at scale.
  • No third-party review presence beyond a single G2 review and a 3.3-star Capterra rating, suggesting limited enterprise adoption or market penetration.
HubSpot logo

HubSpot

Destination

Strengths

  • Genuinely useful free CRM tier with no seat limit on contact records.
  • All-in-one sales engagement layer (sequences, email tracking, calling, dialer) embedded natively in the CRM, eliminating a separate integration.
  • Intuitive interface and fast onboarding for individual reps, per G2 and Capterra reviews.
  • Workflow automation triggers across contacts, deals, and tickets with a visual builder.
  • API coverage for all standard objects including custom objects at Enterprise tier.

Weaknesses

  • Pricing model is contact-based at the marketing layer — importing all records as marketing contacts can multiply the monthly bill by 4×.
  • Feature tier cliffs are frequent surprises: sequences, calling, advanced reporting, and quoting are all gated, often requiring plan upgrades mid-implementation.
  • Mandatory onboarding fees at Professional ($1,500) and Enterprise ($3,500) are not prominently disclosed on the pricing page.
  • API rate limits are restrictive for bulk migration — burst limits of 100-200 req/10sec and search endpoint limits of 4 req/sec require careful job queuing.
  • Custom objects, additional pipelines, and advanced forecasting are Enterprise-only, making cost projections difficult for growing teams.

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 Fieldy and HubSpot.

  • 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

    Fieldy: Not publicly documented..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Fieldy to HubSpot 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 Fieldy to HubSpot data migrations

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

Can't find your answer?

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Small Fieldy datasets — under 10,000 jobs, 5,000 contacts, and 2,000 invoices — typically complete in 3–5 days including the sample migration, field-level diff, and delta-pickup window. Mid-size datasets with heavy custom property usage extend to 1–2 weeks. Large enterprise setups with over 100,000 records across jobs, quotes, and invoices require 3–4 weeks depending on HubSpot custom object complexity and the number of staff-to-team junction mappings.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Fieldy.
Land in HubSpot, intact.

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