CRM migration
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
Source
Salesforce Sales Cloud
Destination
Compatibility
11 of 11
objects map 1:1 between Fieldy and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
48–72 hours
Overview
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.
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 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
Salesforce Sales Cloud
Account + Contact
1:1Fieldy 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
Salesforce Sales Cloud
Case or custom Work_Order__c
1:1Fieldy 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
Salesforce Sales Cloud
Account (Location) or custom Site__c
1:1Fieldy 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
Salesforce Sales Cloud
User or Contact
1:1Fieldy 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
Salesforce Sales Cloud
Opportunity + Quote
1:1Fieldy 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
Salesforce Sales Cloud
Order or custom Invoice__c
1:1Fieldy 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
Salesforce Sales Cloud
Custom Case fields or custom Checklist__c
1:1Fieldy 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
Salesforce Sales Cloud
Custom Object (__c)
1:1Fieldy 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
Salesforce Sales Cloud
Asset
1:1Fieldy 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
Salesforce Sales Cloud
Task or Event
1:1Fieldy 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
Salesforce Sales Cloud
custom Payment__c
1:1Fieldy 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.
| Fieldy | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Customer | Account + Contact1:1 | Fully supported | |
| Job / Work Order | Case or custom Work_Order__c1:1 | Fully supported | |
| Location / Site | Account (Location) or custom Site__c1:1 | Fully supported | |
| Staff / Technician | User or Contact1:1 | Fully supported | |
| Quote | Opportunity + Quote1:1 | Fully supported | |
| Invoice | Order or custom Invoice__c1:1 | Fully supported | |
| Form / Checklist | Custom Case fields or custom Checklist__c1:1 | Fully supported | |
| Custom Object | Custom Object (__c)1:1 | Fully supported | |
| Asset / Equipment | Asset1:1 | Fully supported | |
| Time Entry / Activity | Task or Event1:1 | Fully supported | |
| Payment Record | custom Payment__c1:1 | 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
Salesforce Sales Cloud gotchas
Workflow Rules and Process Builder are retired
Bulk API batch quota exhaustion during large imports
Storage overage billing is non-obvious
Account-Contact many-to-many relationship mapping
Territory and team member import ordering dependencies
Pair-specific challenges
Migration approach
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.
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.
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.
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.
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
Fieldy
Source
Strengths
Weaknesses
Salesforce Sales Cloud
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 Salesforce Sales Cloud.
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
Answers to the questions buyers ask most during Fieldy to Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.
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