CRM migration

Migrate from FieldEdge to Salesforce Sales Cloud

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

FieldEdge logo

FieldEdge

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

100%

16 of 16

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

Complexity

BStandard

Timeline

2–4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

FieldEdge organizes field service around Customers, Work Orders, Invoices, Technicians, Service Agreements, and Assets — an operational model with no direct Salesforce Sales Cloud equivalent. Salesforce stores Accounts, Contacts, Leads, Opportunities, and Cases with a relational CRM structure built for sales pipelines, not job dispatch boards. We bridge this gap by creating Salesforce custom objects: Work_Order__c, Invoice__c, and Agreement__c. FieldEdge customers map to Salesforce Accounts and Contacts; Technicians become Contacts with a custom Role__c pick-list; Assets map to the Salesforce Asset object. Work order status, timestamps, technician assignments, and asset links are preserved in custom fields on Work_Order__c. Invoices carry totals, payment status, and line items into Invoice__c. FieldEdge workflows, automations, and dispatch-board logic have no Salesforce equivalent — those must be rebuilt in Flow or Apex. Reports and dashboards do not migrate. Custom fields migrate as custom fields on their target Salesforce object. We extract FieldEdge data via their REST API (Azure API Management, OAuth), validate with test migrations, and run full migration with a 24–48h delta-pickup 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

FieldEdge logo

FieldEdge

What's pushing teams away

  • Steep learning curve with dozens of configuration options frustrates office staff during onboarding, particularly those without prior FSM experience.
  • Slow system performance and connectivity issues interrupt technicians mid-job, especially in areas with unreliable cellular coverage.
  • Multi-week implementation timelines (4–8 weeks with dedicated specialists) delay ROI and create productivity losses while teams run dual systems.
  • Expensive pricing relative to newer competitors with faster deployment and lower per-user costs, particularly for small contractors on tight margins.
  • Customer service and tech support receive repeated criticism for slow response times and resolution quality on complex issues.

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 FieldEdge objects map to Salesforce Sales Cloud

Each row shows how a FieldEdge 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.

FieldEdge

Customer

maps to

Salesforce Sales Cloud

Account / Contact

1:1
Fully supported

FieldEdge customers map to Salesforce Accounts. Primary contact within the account becomes a Salesforce Contact with the same name, email, phone, and address fields. FieldEdge company-level billing address maps to the Account's billing address for account-level reference. All contacts are linked to the account via the AccountId field. If multiple FieldEdge contacts exist for one account, we create additional Contact records and ensure each is associated correctly.

FieldEdge

Work Order

maps to

Salesforce Sales Cloud

Work_Order__c (custom object)

1:1
Fully supported

FieldEdge work orders have no Salesforce standard equivalent. We create Work_Order__c as a custom object with fields for status (pick-list), technician (Contact lookup), customer (Account lookup), created and modified timestamps (custom datetime), asset (Asset lookup), and original work order number. This preserves the full operational record in Salesforce as a searchable, related list on the Account.

FieldEdge

Invoice

maps to

Salesforce Sales Cloud

Invoice__c (custom object)

1:1
Fully supported

FieldEdge invoices have no Salesforce standard object — Salesforce Revenue Cloud is a separate licensed product. We create Invoice__c to store invoice number, total amount, status (pick-list from FieldEdge values), payment date, and related Account lookup. Line items are preserved as comma-separated detail in a custom text field pending price book configuration.

FieldEdge

Service Agreement

maps to

Salesforce Sales Cloud

Agreement__c (custom object)

1:1
Fully supported

FieldEdge service agreements map to a custom Agreement__c object in Salesforce with fields for agreement name, start and end dates, coverage type (pick-list), related Account, related Assets (Asset lookups), and pricing term. The full agreement terms are preserved as a text area field. This object does not trigger Salesforce contract management — separate contract records can be created manually post-migration if needed.

FieldEdge

Technician / Employee

maps to

Salesforce Sales Cloud

Contact (with Role__c)

1:1
Fully supported

FieldEdge technicians and employees map to Salesforce Contacts. A custom Role__c pick-list field on the Contact object distinguishes technician, dispatcher, and office staff. Active FieldEdge technicians who need Salesforce login access require Salesforce User records to be provisioned separately — we flag these for your admin before migration.

FieldEdge

Asset / Equipment

maps to

Salesforce Sales Cloud

Asset

1:1
Fully supported

FieldEdge assets map to the Salesforce Asset object using the asset name, install date, status (mapped pick-list value-by-value), and related Account lookup. Asset serial numbers and model information map to custom fields on the Asset object. Assets linked to work orders in FieldEdge retain the relationship via the Asset__c lookup on Work_Order__c.

FieldEdge

Work Order Line Item

maps to

Salesforce Sales Cloud

OpportunityLineItem (via Opportunity)

1:1
Fully supported

FieldEdge work order line items (parts and labour) can map to OpportunityLineItems if your Salesforce org has a price book configured and an Opportunity is used as the parent. If no Opportunity is relevant, line items are stored as a custom text area on Work_Order__c listing parts, quantities, and rates. We surface the preferred approach during the test migration review.

FieldEdge

Work Order History

maps to

Salesforce Sales Cloud

Custom datetime fields on Work_Order__c

1:1
Fully supported

FieldEdge records work order created date, modified date, and status-change timestamps. Salesforce's native CreatedDate and LastModifiedDate reflect migration time, not the original FieldEdge record history. We preserve original dates as custom datetime fields on Work_Order__c for reporting continuity. This ensures historical trend analysis remains accurate after the migration.

FieldEdge

File / Attachment

maps to

Salesforce Sales Cloud

Salesforce Files (ContentDocument)

1:1
Fully supported

FieldEdge file attachments on work orders, invoices, and customers re-upload as Salesforce Files. Files are linked to their parent record (Work_Order__c, Invoice__c, or Account) via ContentDocumentLink. File size limits from Salesforce apply — 25MB per file by default. Photos attached to work orders by technicians are preserved as they are.

FieldEdge

Work Order — Product Junction

maps to

Salesforce Sales Cloud

Custom junction object or text field on Work_Order__c

1:1
Fully supported

FieldEdge links products and parts to work orders as line items. In Salesforce, products require a PricebookEntry and Opportunity context. We create a custom junction object (Work_Order_Product__c) with lookups to Work_Order__c and Asset, plus product name and quantity fields, when no Opportunity is in scope. If your org already uses Opportunities for product pricing, we can map the junction records accordingly during the test migration.

FieldEdge

Dispatch Notes

maps to

Salesforce Sales Cloud

Note on Work_Order__c

1:1
Fully supported

FieldEdge dispatch board notes and technician commentary on work orders migrate as Salesforce Notes attached to Work_Order__c. Original timestamps and the creating technician (Contact) are preserved in the Note's created-by and created-date fields.

FieldEdge

Workflow / Automation

maps to

Salesforce Sales Cloud

Not migrated — Salesforce Flow or Apex required

1:1
Fully supported

FieldEdge workflow rules, dispatch triggers, and service-agreement automation do not have Salesforce equivalents. They must be rebuilt in Salesforce Flow or Apex triggers. We export FieldEdge workflow definitions as a reference document your Salesforce admin can use to reconstruct the logic in Flow Builder. We recommend documenting each workflow's trigger conditions and actions to simplify the translation into Flow Builder elements.

FieldEdge

Report / Dashboard

maps to

Salesforce Sales Cloud

Not migrated — rebuilt in Salesforce reporting

1:1
Fully supported

FieldEdge operational reports and dispatch board analytics have no Salesforce equivalent. Report definitions do not migrate. The underlying data — work orders, invoices, and technician activity — is preserved in Salesforce custom objects, so reports can be rebuilt using Salesforce standard reports or Analytics Cloud against the migrated data.

FieldEdge

Custom Object / Custom Field

maps to

Salesforce Sales Cloud

Custom field on relevant Salesforce object

1:1
Fully supported

Any FieldEdge custom objects or custom fields on standard objects require a custom field on the corresponding Salesforce object. We audit your FieldEdge schema during discovery, map each custom field by data type and pick-list values, and create the Salesforce custom fields before data loads. Complex pick-list value mappings are validated in the test migration phase.

FieldEdge

QuickBooks Integration

maps to

Salesforce Sales Cloud

Salesforce integration — separate setup

1:1
Fully supported

FieldEdge's native QuickBooks integration syncs invoices and payments bidirectionally. Salesforce requires a separate integration (native Salesforce connector, Bodi, or a middleware) to sync accounting data. Invoice records migrate into Salesforce Invoice__c, but the live sync with your accounting software requires a post-migration integration project.

FieldEdge

User / Owner

maps to

Salesforce Sales Cloud

Contact + Salesforce User provisioning

1:1
Fully supported

FieldEdge owner IDs on work orders and invoices resolve to Salesforce Contacts by email match. Unmatched owners are flagged before migration. Active technicians who need Salesforce access must be provisioned as Salesforce Users by your admin — we provide a User-provisioning checklist alongside the migration plan.

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.

FieldEdge logo

FieldEdge gotchas

High

NationBuilder Log Contact data has no export endpoint

Medium

QuickBooks sync flag does not prevent duplicate reconciliation

Medium

Multi-week implementation creates a data freeze risk

Low

Proposal Pro and MarketingEdge are tier-gated add-ons

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

  • Salesforce has no standard work order object — custom Work_Order__c required

    FieldEdge's work order is a core native object; Salesforce Sales Cloud has no standard equivalent. Every historical work order becomes a record in a custom Work_Order__c object your admin creates before migration. This is not a limitation FlitStack can work around — it is a structural difference between an FSM and a CRM. We create the object with fields for status, technician (Contact lookup), customer (Account lookup), created and modified timestamps (custom datetime), and asset. Your Salesforce admin must decide which page layouts and sharing rules apply to Work_Order__c before data lands.

  • FieldEdge invoices have no Salesforce standard object — financial records need custom schema

    FieldEdge stores invoices with totals, line items, and payment status natively. Salesforce Sales Cloud has no standard invoice object — Salesforce Revenue Cloud is a separate licensed product. We create a custom Invoice__c object to store invoice number, total amount, status pick-list, and payment date. Line items are stored as text until a price book is configured. Your accounting team should evaluate whether Salesforce Revenue Cloud is needed for live invoice management post-migration, or whether Invoice__c serves as an archive reference.

  • Technicians need Salesforce User provisioning before they can log in — contacts alone are not enough

    FieldEdge technicians are internal employees who need Salesforce access to view Work_Order__c records, update statuses, and log activities. In Salesforce, employees who need login access require User records — contacts do not grant platform access. We resolve FieldEdge technicians by email to Salesforce Contacts during migration, but your admin must provision Salesforce User accounts for each technician who needs access. Unmatched technicians are flagged pre-migration so this does not block the data load.

  • Historical work order volume drives storage and load-time costs in Salesforce

    FieldEdge customers with multi-year histories accumulate thousands of work order records. Each Work_Order__c record consumes Salesforce storage. For large histories (50,000+ work orders), the migration data load takes longer and Salesforce storage costs increase. We offer an archive-first strategy: migrate the most recent 1–2 years of active work orders to Work_Order__c, and archive older records as a CSV accessible via Salesforce Files, reducing storage cost while preserving the data. Archiving older records keeps the active set lean, improves query performance, and reduces storage risk. We can schedule this export before the main load for a smooth cutover.

  • FieldEdge custom fields require schema design in Salesforce before mapping commits

    FieldEdge supports custom fields on every standard object. Each custom field in FieldEdge requires a corresponding custom field on its Salesforce target object — Work_Order__c, Invoice__c, Account, or Contact. Pick-list value mappings must be defined value-by-value. If your FieldEdge setup uses 30+ custom fields, the Salesforce schema design phase extends the timeline because each field must be created, tested, and validated before data loads. We include custom field mapping in every engagement scope; the cost reflects the number of custom fields mapped, not just record volume.

Migration approach

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

  1. Discovery and audit — FieldEdge schema inventory

    We audit your FieldEdge account to inventory all standard and custom objects, field names, data types, and pick-list values. We count work orders, invoices, service agreements, technicians, and assets — and assess data quality (duplicates, missing required fields, date format inconsistencies). This produces a field-level mapping spreadsheet and a migration scope document your team reviews before any data moves. API connectivity to FieldEdge is verified during this phase using OAuth credentials.

  2. Design and stand up Salesforce schema

    We create Work_Order__c, Invoice__c, and Agreement__c custom objects with all mapped fields before any data loads. Custom pick-lists are configured with your FieldEdge values. Custom lookups to Account and Contact are validated. The Salesforce admin reviews and approves the schema design — object labels, field-level security, and page layouts are configured on the Salesforce side before we proceed. This step prevents the most common migration delay: loading data into objects that are not yet fully defined.

  3. Extract data from FieldEdge and transform for Salesforce

    We extract data from FieldEdge using their REST API (powered by Azure API Management — OAuth authentication). We paginate through Customers, Work Orders, Invoices, Service Agreements, Technicians, and Assets endpoints. For each record, we apply the field mapping: parse combined address fields, resolve technician IDs to Contact lookups, map pick-list values, and populate custom datetime fields with original FieldEdge timestamps. Transformation logic is logged for auditability and reviewed in the test migration.

  4. Run test migration with field-level diff

    A representative slice of records — typically 200–500 spanning customers, work orders, invoices, and service agreements — migrates to a Salesforce sandbox or scratch org first. We generate a field-level diff comparing source values against destination field values for every mapped field. You verify that work order status mapping, technician lookups, date preservation, and pick-list values are correct. Discrepancies are corrected in the transformation logic before the full migration runs. No production data moves until you sign off.

  5. Execute full migration with delta-pickup window

    The full data set loads into your production Salesforce org. A delta-pickup window of 24–48 hours runs concurrently: any records created or modified in FieldEdge during the migration window are captured and migrated after the initial load completes. This ensures Salesforce reflects FieldEdge's final state at go-live. All operations are logged to an audit trail. One-click rollback reverts all migrated records if reconciliation uncovers unexpected issues.

  6. Validate, reconcile, and handoff

    We validate record counts and spot-check mapped fields against source data. Unmatched records (e.g., customers without email) are surfaced with resolution options — map to Account-only, create a placeholder Contact, or exclude. We deliver a reconciliation report with record counts per object, error rates, and the delta-capture log. A post-migration handoff document covers User provisioning for technicians, QuickBooks integration setup, and a reference export of FieldEdge workflow definitions for rebuilding in Salesforce Flow.

Platform deep dives

Context on both ends of the pair

FieldEdge logo

FieldEdge

Source

Strengths

  • Pioneered FSM software for the trades in 1980, with 40,000+ users across HVAC, plumbing, and electrical verticals.
  • First-to-market QuickBooks integration (1998) creates a tight accounting loop for contractors already on QuickBooks.
  • Multi-truck, multi-location dispatch board scales with business-unit structure for growing contractor operations.
  • Service Agreement and recurring billing tracking tied directly to work orders supports maintenance revenue models.
  • Mobile app for technicians surfaces customer history, photos, and inventory data at the point of service.

Weaknesses

  • Older software architecture demands 4–8 weeks of implementation with dedicated specialists, locking up staff time before any ROI materialises.
  • Steep learning curve with hundreds of configuration options creates onboarding friction for office managers and technicians alike.
  • Performance and connectivity issues on the mobile app interrupt field technicians in low-signal environments.
  • Pricing is opaque (per-user model, add-on modules) and costs more than newer mobile-first competitors for equivalent team sizes.
  • Contact activity logs (Canvassing/NationBuilder) have no direct export path, limiting migration completeness for outreach data.
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 FieldEdge 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

    FieldEdge: Not publicly documented; managed via Azure API Management.

  • Data volume sensitivity

    B

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

Estimator

Estimate your FieldEdge 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 FieldEdge to Salesforce Sales Cloud data migrations

Answers to the questions buyers ask most during FieldEdge 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

Small-to-mid-size FieldEdge setups (under 50,000 records across work orders, invoices, and customers) complete in 2–4 weeks of clock time. Larger setups with 100,000+ records or complex custom-field configurations extend to 5–8 weeks. The longest step is Salesforce schema design — creating Work_Order__c, Invoice__c, and Agreement__c objects with all custom fields before data loads. FieldEdge API rate limits and data quality remediation also extend timelines.

Adjacent paths

Related migrations to explore

Ready when you are

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