CRM migration

Migrate from Fieldy to Salesforce Sales Cloud

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

Fieldy logo

Fieldy

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

100%

11 of 11

objects map 1:1 between Fieldy and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Fieldy is a field service management platform centered on jobs, work orders, customer locations, and technician scheduling. Salesforce Sales Cloud is a sales CRM centered on Accounts, Contacts, Leads, and Opportunities with a different relationship model. The migration carries Fieldy's core records — Customers, Jobs, Invoices, Quotes, Staff, Locations, and any custom forms — into Salesforce's object model. Where Fieldy supports many-to-many customer-to-location relationships, Salesforce uses lookup fields requiring careful foreign-key sequencing. Jobs map to Salesforce Cases or a custom Work_Order__c object depending on your configuration preference. Fieldy's workflow triggers and scheduling automations do not migrate — those must be rebuilt in Salesforce Flow. FlitStack reads Fieldy data via API, sequences the migration so foreign keys resolve correctly (Accounts before Contacts, Contacts before Cases), preserves original creation timestamps as custom fields, and resolves Fieldy technician and customer emails to Salesforce users. A sample migration with field-level diff runs first; a delta-pickup window captures in-flight changes at cutover. Audit logging and one-click rollback are included.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Fieldy objects map to Salesforce Sales Cloud

Each row shows how a Fieldy object lands in Salesforce Sales Cloud, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Fieldy

Customer

maps to

Salesforce Sales Cloud

Account + Contact

1:1
Fully supported

Fieldy Customer maps to Salesforce Account as the primary company record. The primary contact within that customer record migrates as a Salesforce Contact linked via AccountId. If Fieldy stores multiple contacts per customer, additional contacts create as related Contact records with the same AccountId lookup.

Fieldy

Job / Work Order

maps to

Salesforce Sales Cloud

Case or custom Work_Order__c

1:1
Fully supported

Fieldy Jobs map to Salesforce Cases (standard) or a custom Work_Order__c object depending on your Salesforce configuration. Job status maps to Case Status via value mapping. Original job number preserved as Source_Job_Number__c custom field. Technician assignment maps to Case OwnerId or a custom Technician__c lookup field.

Fieldy

Location / Site

maps to

Salesforce Sales Cloud

Account (Location) or custom Site__c

1:1
Fully supported

Fieldy Locations tied to a Customer map as child Site__c records linked to the parent Account via AccountId. If your Salesforce org uses Field Service Lightning, the native Location object is available. Locations without a parent Customer create under a default account or as standalone Site__c records based on your configuration plan.

Fieldy

Staff / Technician

maps to

Salesforce Sales Cloud

User or Contact

1:1
Fully supported

Fieldy Staff members who are internal employees map to Salesforce Users by email match. Technicians stored as external contacts (non-user staff) map to Contact records linked to the relevant Account or Site. Unmatched staff flagged before migration — your team creates Salesforce Users or Contacts first.

Fieldy

Quote

maps to

Salesforce Sales Cloud

Opportunity + Quote

1:1
Fully supported

Fieldy Quotes map to Salesforce Opportunities with line items. The Opportunity Name carries the Fieldy Quote number. Quote status maps to Opportunity Stage via value mapping. Pricebook and Products require setup in Salesforce before quote line items map — we generate the setup plan.

Fieldy

Invoice

maps to

Salesforce Sales Cloud

Order or custom Invoice__c

1:1
Fully supported

Fieldy Invoices map to Salesforce Orders if your org uses them, or to a custom Invoice__c object. Invoice total amount maps to Order.TotalAmount or Invoice_Amount__c. Paid status and payment date migrate as custom fields on the Order or Invoice record. Payment history requires a custom Payment_History__c object.

Fieldy

Form / Checklist

maps to

Salesforce Sales Cloud

Custom Case fields or custom Checklist__c

1:1
Fully supported

Fieldy forms and checklists attached to jobs have no direct Salesforce equivalent. We map them as custom fields on the Case object (Checklist_Responses__c as long-text or JSON) or as a related custom Checklist__c object linked via Lookup. Your admin decides the preferred display format.

Fieldy

Custom Object

maps to

Salesforce Sales Cloud

Custom Object (__c)

1:1
Fully supported

Fieldy custom objects map 1:1 to Salesforce custom objects. Custom field types (pick-list, number, date, checkbox) map to equivalent Salesforce field types. Custom pick-list values require value-by-value mapping against Salesforce pick-list constraints. We flag any pick-list that exceeds Salesforce's 500-value limit per field.

Fieldy

Asset / Equipment

maps to

Salesforce Sales Cloud

Asset

1:1
Fully supported

Fieldy assets or equipment records attached to locations map to Salesforce Asset objects linked to the corresponding Account or Site record. Asset serial number, installed date, and status map directly to Asset fields. If assets are tied to specific jobs, the relationship migrates as a custom Job_Asset__c junction object.

Fieldy

Time Entry / Activity

maps to

Salesforce Sales Cloud

Task or Event

1:1
Fully supported

Fieldy time entries linked to jobs map as Salesforce Tasks on the associated Case or Work_Order__c record. Technician clock-in and clock-out times map as Task ActivityDate and custom Start_Time__c / End_Time__c fields. Original timestamps preserved for payroll or billing reconciliation.

Fieldy

Payment Record

maps to

Salesforce Sales Cloud

custom Payment__c

1:1
Fully supported

Fieldy payment records against invoices map as custom Payment__c objects linked to the Invoice or Order record. Payment method, amount, date, and transaction reference migrate as custom fields. Stripe or payment gateway references stored as text fields for reconciliation. If partial payments exist, each partial amount creates a separate Payment__c record to preserve payment history.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • Fieldy job checklists have no native Salesforce equivalent

    Fieldy forms and checklists attached to jobs — structured data capturing service steps, sign-offs, and photo fields — have no built-in Salesforce counterpart. Salesforce Cases support custom fields but not structured repeating sections. We migrate form data as a long-text or JSON custom field (Form_Responses__c) on the Case record. This preserves the data for reference but requires Salesforce admin configuration to display it in a readable format. You will need to decide whether to re-create the form as a Salesforce Screen Flow or accept the JSON reference for manual review.

  • Many-to-many customer-to-location model requires custom junction objects

    Fieldy lets a single Customer record have multiple Service Locations, and a Location can theoretically serve multiple Customers. Salesforce Accounts and Locations use a lookup relationship that is one-to-many by default. We handle this by creating a custom Customer_Location__c junction object with AccountId and Site__c lookups when Fieldy's data shows N:N associations. This adds validation work because Salesforce's sharing model and access settings apply to the junction records, requiring page layout assignment and profile-level visibility rules.

  • Job-to-technician assignment requires Salesforce User provisioning before migration

    Fieldy technicians who are internal staff must resolve to Salesforce Users by email match for Case OwnerId assignment. External technicians stored as Fieldy contacts map to Salesforce Contacts. If your Fieldy instance has technicians with email addresses not yet in Salesforce, those Cases will land with a placeholder owner and be flagged for manual assignment. We recommend provisioning all internal staff as Salesforce Users before migration day so owner resolution is automatic.

  • Fieldy automation triggers do not transfer — export-as-reference only

    Fieldy's job triggers, scheduling automations, and notification rules are internal to the platform and cannot be exported in a form that Salesforce Flow can consume directly. FlitStack exports Fieldy workflow definitions as documented JSON/text for your Salesforce admin to use as a rebuild specification. This is a manual step that must be scoped separately — plan 2–4 weeks for a Salesforce admin to re-implement complex Fieldy job-lifecycle automations in Flow.

  • Salesforce API rate limits constrain batch migration throughput

    Salesforce enforces 100,000 daily API requests on Enterprise edition plus 1,000 per user license, with a 25-concurrent-request cap and 10-minute timeout per call. Fieldy-to-Salesforce migration involves sequential reads from Fieldy and writes to Salesforce. FlitStack manages batch sizing, retry logic, and off-peak scheduling to stay within these limits. Large migrations (500k+ records) may require weekend or after-hours migration windows to avoid daytime API consumption by live Salesforce users. All operations are logged, and throttling alerts notify the team if usage approaches the daily cap.

Migration approach

Six steps for a successful Fieldy to Salesforce Sales Cloud data migration

  1. Map all Fieldy objects and create Salesforce schema

    FlitStack generates an object-and-field mapping document based on your Fieldy configuration. We identify all standard objects (Customers, Jobs, Invoices, Locations, Staff) and any custom objects or custom fields. For each mapping that requires a Salesforce custom field (__c), we deliver a setup checklist specifying field type, pick-list values, and page layout assignment so your Salesforce admin creates the schema before data lands.

  2. Resolve Fieldy staff and customers to Salesforce users and accounts

    Owner resolution happens by email match — Fieldy technician and customer emails are compared against existing Salesforce Users and Contacts. Unmatched emails are flagged with the record ID so your team can provision Salesforce Users or create Contact records before the migration run. No Case lands without a resolved OwnerId. If an email matches a Salesforce User, the corresponding Case is assigned to that user; otherwise it is placed in a holding queue for manual assignment.

  3. Sequence migration: Accounts, Contacts, Sites, then Cases, Orders

    Salesforce requires parent records to exist before children can reference them via lookup fields. We sequence the migration in dependency order: Accounts first, then Contacts linked to Accounts, then Sites linked to Accounts, then Cases linked to Accounts and Sites, then Orders and custom objects. This ensures all foreign-key constraints (AccountId, Site__c, OwnerId) resolve on first-pass. The sequencing also minimizes duplicate record creation and preserves referential integrity throughout the data load.

  4. Run sample migration with field-level diff

    A representative slice of 50–200 records migrates first, covering each object type and at least one instance of each non-direct field mapping. We generate a field-level diff report showing source value, mapped value, and destination value for every field. You review the diff to verify job status mapping, technician owner resolution, location junction creation, and form-data preservation before the full run commits.

  5. Full migration with delta-pickup cutover window

    The full dataset migrates against Salesforce with audit logging on every operation. A delta-pickup window (typically 24–48 hours after full migration) captures any Fieldy records created or modified during the cutover period. All timestamps, technician assignments, and job statuses in the delta window are reconciled against the initial migration run. One-click rollback reverts all Salesforce records if reconciliation uncovers data-integrity issues.

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.
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

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 Salesforce Sales Cloud.

  • 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 Salesforce Sales Cloud 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 Salesforce Sales Cloud data migrations

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

Can't find your answer?

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Book a free 30 minute consultation

Most Fieldy-to-Salesforce migrations complete in 48–72 hours of clock time for under 50,000 records across all objects. Larger setups with 500k+ records, complex custom-object schemas, or multi-site customer hierarchies extend to 5–7 days. The longest planning step is mapping Fieldy job checklists and custom forms to Salesforce custom fields or Case layouts. During migration, a sample run of 50–200 records validates field mappings before the full dataset moves. A delta window captures any records created in Fieldy after the initial cutover, ensuring Salesforce reflects the final state.

Adjacent paths

Related migrations to explore

Ready when you are

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