CRM migration

Migrate from Fieldproxy to Salesforce Sales Cloud

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

Fieldproxy logo

Fieldproxy

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

100%

13 of 13

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

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Fieldproxy organizes field service operations around Jobs, Customers, Sites, and Assets — a model optimized for dispatch, completion tracking, and mobile-first technician workflows. Salesforce Sales Cloud organizes around Accounts, Contacts, Leads, and Opportunities — a model built for pipeline management, forecasting, and revenue tracking. These data models diverge significantly: Fieldproxy's Jobs map to Salesforce Cases (for service operations) or to a custom Field_Service_Job__c object depending on your Salesforce edition; Fieldproxy's Customers map to Salesforce Accounts; Fieldproxy's Sites and Locations require address normalization against Account records; and Fieldproxy's Assets map to Salesforce Asset records when your edition supports them, or to a custom Asset__c object. The migration carries everything Fieldproxy stores natively — job records, customer profiles, site locations, asset registries, line items, and timestamps — into Salesforce's object graph. We surface automations (Fieldproxy workflows and job-scheduling rules) as a reference export so your Salesforce admin can rebuild them in Flow. The migration runs via Salesforce Bulk API with batch processing to handle volume, with delta-pickup capturing in-flight jobs during the cutover window.

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

Fieldproxy logo

Fieldproxy

What's pushing teams away

  • G2 reviewers report intermittent technical issues and errors during ticket management, with support response times occasionally delaying urgent resolutions.
  • Documentation coverage is thin — users and migration teams have limited self-service reference material when troubleshooting or scoping data exports.
  • Support responsiveness varies; some reviewers experienced delays when raising non-critical but blocking issues during operational hours.
  • Custom workflow complexity can outpace the platform's ability to surface them clearly, making it harder to audit what automations exist before migrating away.

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 Fieldproxy objects map to Salesforce Sales Cloud

Each row shows how a Fieldproxy 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.

Fieldproxy

Customer

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Fieldproxy Customer maps to Salesforce Account. The customer's primary address becomes Account.BillingAddress. Multi-site customers in Fieldproxy may have multiple Site records — we create one Account with multiple ShippingAddresses or a custom Site__c junction object depending on your Salesforce edition and reporting needs.

Fieldproxy

Contact

maps to

Salesforce Sales Cloud

Contact

1:1
Fully supported

Fieldproxy Contact maps to Salesforce Contact with AccountId set to the parent Customer/Account. Primary contact per customer becomes the Account's primary Contact. Additional site-specific contacts are created as additional Contact records under the same Account with site-related custom fields populated.

Fieldproxy

Job

maps to

Salesforce Sales Cloud

Case

1:1
Fully supported

Fieldproxy Job maps to Salesforce Case when the job represents a service event that should appear in Salesforce's case management model. Case origin is set to 'Field Service'. If your Salesforce edition does not include Service Cloud, Jobs map to a custom Field_Service_Job__c object instead, preserving the same field structure.

Fieldproxy

Job

maps to

Salesforce Sales Cloud

Task

1:1
Fully supported

Each Fieldproxy Job generates one or more Salesforce Task records representing work items assigned to technicians. Task.Status maps from Job.status, Task.ActivityDate maps from Job.scheduled_date, and Task.OwnerId resolves to the technician's Salesforce User record via email match. If a technician has no corresponding Salesforce User, their Tasks are assigned to a designated fallback Owner during migration. Each Task also links to the parent Case via WhatId so technicians see the full job context in Salesforce.

Fieldproxy

Site

maps to

Salesforce Sales Cloud

ShippingAddress on Account

1:1
Fully supported

Fieldproxy Site records with physical addresses map to Account.ShippingAddress (or additional ShippingAddresses if Fieldproxy supports multiple addresses per site). Site-specific notes and access instructions become custom fields on the Account or on a Site__c junction object. We flag sites that share the same customer for de-duplication.

Fieldproxy

Asset

maps to

Salesforce Sales Cloud

Asset

1:1
Fully supported

Fieldproxy Asset maps to Salesforce Asset (available in Enterprise and above) or to a custom Asset__c object. Asset.Name maps from Fieldproxy asset name; Asset.AccountId links to the Salesforce Account representing the customer site. Serial numbers, make/model, and installation dates map to Asset.SerialNumber, Asset.Make__c, and Asset.InstallDate respectively.

Fieldproxy

Job Line Item

maps to

Salesforce Sales Cloud

CaseLineItem__c (Custom) or OpportunityLineItem

1:1
Fully supported

Fieldproxy job line items map to custom CaseLineItem__c records linked to the Case (Job). If the job generates a Salesforce Opportunity for upsell, line items map to OpportunityLineItem. Each line item's quantity, unit price, tax, and description are preserved. We surface job-to-opportunity mapping rules during discovery so your team decides which service events trigger revenue opportunities.

Fieldproxy

Technician

maps to

Salesforce Sales Cloud

User or Contact

1:1
Fully supported

Fieldproxy technicians resolve to Salesforce Users by email match. Technicians who do not yet have Salesforce user accounts are flagged before migration — your admin either creates Salesforce User records first or assigns their jobs to a fallback owner. Fieldproxy technician skills and certifications map to custom fields on the User record for dispatch planning.

Fieldproxy

Quote

maps to

Salesforce Sales Cloud

Opportunity with Products

1:1
Fully supported

Fieldproxy Quotes map to Salesforce Opportunities with PricebookEntry-linked line items. Quote status (Draft, Sent, Accepted) maps to Opportunity.StageName values your admin configures. Stripe payment links from Fieldproxy Quotes require reconfiguration in Salesforce Payments after migration. We preserve quote history as Opportunity history records.

Fieldproxy

Invoice

maps to

Salesforce Sales Cloud

Order or Custom Invoice__c

1:1
Fully supported

Fieldproxy Invoices map to Salesforce Orders when your org uses Order Management, or to a custom Invoice__c object when it does not. Invoice line items map to OrderProducts or Invoice_Line_Item__c records. Payment status (Paid, Pending, Overdue) maps to Order.Status or a custom payment status field. Stripe payment records are reference-only in Salesforce — payment reconciliation continues in Stripe.

Fieldproxy

Custom Field on Job

maps to

Salesforce Sales Cloud

Custom Field on Case or Field_Service_Job__c

1:1
Fully supported

Fieldproxy custom fields on Jobs require Salesforce custom fields created before migration. We deliver a custom field creation plan listing each Fieldproxy custom property, its data type, and the Salesforce field API name (ending in __c). Custom pick-list fields require value-by-value mapping when source and destination pick-list values differ.

Fieldproxy

GPS Check-in / Location Data

maps to

Salesforce Sales Cloud

Custom Location__c Object

1:1
Fully supported

Fieldproxy's GPS check-in timestamps and route data have no native Salesforce equivalent. We migrate check-in records as a custom Location_Event__c object with latitude, longitude, timestamp, and a link to the related Case (Job). This preserves historical location data for audit and SLA compliance but does not enable real-time dispatch — that requires Salesforce Field Service or a third-party FSM app.

Fieldproxy

Job Checklist / Form Data

maps to

Salesforce Sales Cloud

Custom Checklist_Response__c Object

1:1
Fully supported

Fieldproxy's job checklists and form submissions (e.g., inspection results, parts used) have no Salesforce standard equivalent. We migrate each checklist response as a Checklist_Response__c record linked to the Case (Job), preserving question text, response value, and completion timestamp. Your admin can display these in Salesforce via related lists or a Visualforce/LWC component.

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.

Fieldproxy logo

Fieldproxy gotchas

High

Custom Workflows do not export as portable definitions

Medium

API rate limits and bulk endpoints not publicly documented

Medium

Spare Parts inventory requires quantity reconciliation

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

  • Fieldproxy Jobs do not map 1:1 to Salesforce standard objects without configuration

    Fieldproxy's Job entity is the central record type for field service work — it contains job status, line items, technician assignment, checklists, and GPS check-in data. Salesforce Sales Cloud has no standard 'Job' object; Jobs map to Cases (if Service Cloud is active) or to a custom Field_Service_Job__c object. The Case object has a different field model: Case.Status uses a pick-list scoped to your Salesforce instance, Case.AccountId links to the customer, and Case.ContactId links to the primary contact. Checklist data, technician GPS timestamps, and custom job fields require Salesforce custom fields or related custom objects. We deliver a schema setup plan before migration so your admin creates the custom object and fields in Salesforce before data lands.

  • Fieldproxy Site hierarchy requires address normalization against Salesforce Account model

    Fieldproxy allows multiple Sites per Customer, each with its own address, contact person, and site-specific notes. Salesforce Account stores one primary billing address and optionally one shipping address natively — storing all Fieldproxy sites as separate Account records creates duplicates of the same customer. We handle this by creating one Salesforce Account per Fieldproxy Customer, storing the primary site as Account.ShippingAddress, and creating a custom Site__c junction object for additional sites. Site-specific contact assignments and access notes map to custom fields on the Site__c object. This approach avoids duplicate Account records but requires Salesforce custom object creation before migration.

  • GPS check-in data and technician location history have no native Salesforce destination

    Fieldproxy tracks technician check-in timestamps, route data, and GPS coordinates as part of job completion. Salesforce has no standard mechanism for storing location history on Cases or Tasks. We preserve this data as a custom Location_Event__c object linked to the Case (Job), containing latitude, longitude, timestamp, and a link to the technician's Salesforce User record. This serves audit and compliance purposes but does not enable real-time dispatch in Salesforce — for live dispatch functionality, your team needs Salesforce Field Service (a separate product license) or a third-party FSM app installed from AppExchange. We disclose this gap explicitly in the migration plan.

  • Stripe payment integration from Fieldproxy Quotes and Invoices requires rebuild in Salesforce

    Fieldproxy Quotes and Invoices carry Stripe payment links, payment status, and transaction references that are native to Fieldproxy's Stripe integration. Salesforce has no built-in Stripe connector — Salesforce Payments (the native payments product) requires separate setup and configuration. We migrate Quote and Invoice data as Salesforce Opportunities and Orders respectively, preserving line items, amounts, and status. Payment links, Stripe transaction IDs, and payment status are preserved as custom fields for reference. Your finance team must rebuild the Stripe payment workflow in Salesforce Payments or re-integrate via a third-party payment app from AppExchange after migration.

  • Technician email-to-User resolution must happen before migration to populate OwnerId

    Fieldproxy technicians are internal users who complete jobs in the field. Salesforce Task records and Case records require an OwnerId — a reference to a Salesforce User. FlitStack resolves Fieldproxy technician IDs to Salesforce User records by email address match. If a Fieldproxy technician does not have a corresponding Salesforce User account, their jobs and tasks cannot be assigned during migration. We flag all unresolved technicians before migration and ask your admin to create Salesforce User records for them or designate a fallback owner. This step is part of the pre-migration checklist and must be completed before the migration run.

Migration approach

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

  1. Discovery and schema setup plan

    FlitStack reviews your Fieldproxy data export — Jobs, Customers, Sites, Assets, Contacts, Quotes, Invoices, and any custom fields — and produces a Salesforce schema setup plan. This plan lists every custom object, custom field, and pick-list value set your Salesforce org needs before migration. Your admin (or our team) creates the Field_Service_Job__c custom object, Site__c junction object, Location_Event__c object, and all custom fields. We also confirm the Salesforce edition (Sales Cloud only vs. Sales Cloud + Service Cloud) and whether Asset object is available, since this affects the object mapping.

  2. Owner and user resolution

    Fieldproxy technician IDs are resolved to Salesforce User records by email match. We export the technician list from Fieldproxy, match against your Salesforce org's user list, and flag any technician without a Salesforce User account. Your admin creates Salesforce User accounts for unresolved technicians or assigns them to a designated fallback User. This step also covers resolving Fieldproxy customer contacts to Salesforce Contact records under the mapped Account.

  3. Migrate parent objects first — Accounts, then Contacts, then Assets, then Jobs

    Salesforce requires Accounts before Contacts (via AccountId) and Assets before Jobs/Cases (via AssetId). We sequence the migration: (1) Accounts from Fieldproxy Customers, (2) Sites normalized into Account ShippingAddresses and Site__c records, (3) Contacts under Accounts, (4) Assets linked to Accounts, (5) Job checklists and GPS data into Location_Event__c, (6) Jobs mapped to Cases or Field_Service_Job__c, (7) Quotes mapped to Opportunities with Products, (8) Invoices mapped to Orders. Each stage includes field-level validation before the next stage begins.

  4. Run a sample migration with field-level diff

    A representative slice migrates first — typically 100–500 records spanning Jobs, Customers, Sites, Assets, and a few Quotes. We generate a field-level diff showing the source Fieldproxy field value and the destination Salesforce field value for every mapped column. You verify that Job status values map correctly to Case Status, Site addresses land on the right Account, Asset.SerialNumber is populated, and technician assignment resolves to the correct OwnerId. Any mapping corrections are made before the full run commits.

  5. Full migration with delta-pickup and rollback readiness

    The full migration runs against Salesforce using Bulk API for batch processing. During the cutover window your team continues working in Fieldproxy. A delta-pickup window (typically 24–48 hours after initial load) captures any Jobs, Invoices, or Customer records created or modified in Fieldproxy during the cutover. Audit log records every operation — insert, update, skip — with source Fieldproxy ID for traceability. One-click rollback reverts all Salesforce records to pre-migration state if reconciliation fails. After rollback, your team can re-export Fieldproxy data and re-run the migration with corrected mappings.

Platform deep dives

Context on both ends of the pair

Fieldproxy logo

Fieldproxy

Source

Strengths

  • 24-hour deployment with dedicated Solution Consultant — workspace is live and wired to QuickBooks, Stripe, Calendar, and WhatsApp by day one.
  • Unlimited-users pricing model — no per-seat cost escalation as teams grow.
  • YC-backed with 400+ customers, 50K+ technicians, and 99.9% uptime SLA.
  • AI-powered scheduling, task routing, and spare-parts replenishment are built into the platform rather than add-ons.
  • Mobile apps for iOS and Android with offline-first sync for field technicians in low-connectivity areas.

Weaknesses

  • API documentation is not publicly indexed — rate limits, bulk endpoints, and schema details are not available for pre-migration assessment.
  • Custom workflow automations are not exportable and must be manually rebuilt on the destination platform.
  • Documentation quality is a known complaint — limited self-service reference material for technical users and migration teams.
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. 1 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 Fieldproxy and Salesforce Sales Cloud.

  • Object compatibility

    B

    1 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

    Fieldproxy: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Fieldproxy 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 Fieldproxy to Salesforce Sales Cloud data migrations

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

Can't find your answer?

Walk through your Fieldproxy to Salesforce Sales Cloud migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most Fieldproxy-to-Salesforce migrations complete in 48–72 hours of clock time for under 25,000 records. Larger setups with 200,000+ records, complex asset-to-asset relationship hierarchies, or multi-site customers with many Site records extend to 7–10 days. The longest step is typically the pre-migration schema setup — creating custom objects and fields in Salesforce before data can land. We recommend two weeks for planning, schema setup, and sample migration before the full run.

Adjacent paths

Related migrations to explore

Ready when you are

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