CRM migration

Migrate from FieldPro to Salesforce Sales Cloud

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

FieldPro logo

FieldPro

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

100%

10 of 10

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

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

FieldPro is a field service and distribution management platform designed for manufacturers and distributors managing field teams, outlet visits, and retail audits. Its data model centers on retailer and outlet records, visit logs with GPS coordinates, orders, and a flexible custom-field schema. Salesforce Sales Cloud is a full CRM with a structured object model — Account, Contact, Lead, Opportunity, Product2, Task — that requires explicit relationships and field typing. We map FieldPro retailers to Salesforce Accounts, visits to Tasks with custom GPS fields, orders to Opportunities, and products to Salesforce Products. Custom field schemas require Salesforce custom field creation before migration. FieldPro integrations with ERP systems such as NetSuite, Sage CRM, and Microsoft Dynamics 365 do not migrate — they require separate rebuilds in Salesforce. Workflows and automation rules in FieldPro are not portable and must be rebuilt in Salesforce Flow. Migration runs via FieldPro REST API or CSV export, transforms data through a staging layer, and bulk-loads into Salesforce using Bulk API. A delta-pickup window (24–48 hours) captures changes made during cutover so the destination reflects FieldPro's final state at go-live.

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

FieldPro logo

FieldPro

What's pushing teams away

  • The platform's primary language is English, which creates friction for multinational distributors operating field teams in non-English-speaking markets.
  • Quarterly billing with a 10-user minimum means smaller teams pay for capacity they may not fully utilize, especially during off-peak seasons.
  • Documentation quality is inconsistent — advanced features like Detect image metadata and conditional field logic are not thoroughly documented publicly.
  • Integration costs are front-loaded: ERP sync setup runs €2,000 with €200/month ongoing, making the total cost of ownership significantly higher than the base per-user price.
  • Bugs and UI inconsistencies in the web dashboard are cited as ongoing maintenance burdens, requiring workarounds that disrupt reporting workflows.

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 FieldPro objects map to Salesforce Sales Cloud

Each row shows how a FieldPro 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.

FieldPro

Retailer / Outlet

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

FieldPro retailers (outlets, stores, distribution points) map to Salesforce Accounts. Core fields — name, billing address, city, country, phone — migrate directly, while the internal outlet identifier is stored as a custom FieldPro_Outlet_Code__c text field for source traceability. Flexible outlet-type labels such as distributor, retailer, and chain are mapped to a custom Industry_Sub_Type__c pick-list or to the standard Industry pick-list using explicit value mapping.

FieldPro

FieldPro User

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

FieldPro users (agents, field reps) map to Salesforce Users matched by email address. The active/inactive status maps to Salesforce User.IsActive. Unmatched FieldPro users are flagged before migration so the team can invite them to Salesforce or reassign records to a fallback owner.

FieldPro

Visit / Visit Log

maps to

Salesforce Sales Cloud

Task

1:1
Fully supported

FieldPro visits become Salesforce Tasks. The original visit timestamp migrates as Task.ActivityDate. The outlet reference resolves to the linked AccountId. GPS coordinates, visit type, and outlet-condition fields migrate as custom fields on Task (e.g., Visit_GPS_Latitude__c, Visit_Type__c) so spatial data is preserved in Salesforce reporting.

FieldPro

Order

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

FieldPro orders map to Salesforce Opportunities using the linked outlet as AccountId and the order value as Amount. Order status (pending, confirmed, shipped) maps to Opportunity StageName via value mapping. Order date maps to CloseDate. Products ordered map to OpportunityLineItems after Product2 records are migrated.

FieldPro

Product / SKU

maps to

Salesforce Sales Cloud

Product2

1:1
Fully supported

FieldPro product catalog items map to Salesforce Product2. The product name migrates as Name; FieldPro SKU codes migrate as a custom Product_Code__c field. Custom product-level fields from FieldPro (e.g., pack size, unit cost) map to custom fields on Product2 with the __c suffix.

FieldPro

Visit Photo / Attachment

maps to

Salesforce Sales Cloud

ContentDocument / Attachment

1:1
Fully supported

FieldPro visit photos and outlet images migrate to Salesforce Files (ContentDocument) linked to the associated Account record. File size limits apply — Salesforce Files cap at 25 MB per file. Inline images from visit notes are downloaded and re-hosted as Salesforce Files.

FieldPro

Outlet Classification / Tag

maps to

Salesforce Sales Cloud

Custom Field on Account

1:1
Fully supported

FieldPro outlet categories, classification tiers, and custom tags have no native Salesforce equivalent. We create a custom pick-list or multi-select pick-list field on Account (e.g., Outlet_Classification__c) with the exact values from FieldPro. Values are preserved for segmentation and filtering in Salesforce reports.

FieldPro

Route Assignment

maps to

Salesforce Sales Cloud

Custom Field on User / Account

1:1
Fully supported

FieldPro AI Route Optimization assignments do not map to a Salesforce standard object. Territory name and route identifier from FieldPro migrate as custom fields on User (e.g., FieldPro_Territory__c) or as a custom Territory junction object linked to Account. Salesforce Maps can be used post-migration for route visualization.

FieldPro

Custom Entity / Custom Field Group

maps to

Salesforce Sales Cloud

Custom Object / Custom Field on Account

1:1
Fully supported

FieldPro supports flexible custom fields per deployment. Custom fields that belong to the outlet object migrate as custom fields on Salesforce Account with __c suffix. Custom fields on visit records migrate as custom fields on Task. N:N relationships between outlets in FieldPro require a custom junction object in Salesforce.

FieldPro

ERP Integration Reference

maps to

Salesforce Sales Cloud

Custom Field / External ID

1:1
Fully supported

FieldPro stores references to external ERP IDs (NetSuite customer ID, Sage account ref, SYSPRO ledger key) on outlet and order records. These preserve as custom External_ID__c text fields on Account and Opportunity for traceability but have no functional equivalent in Salesforce — the ERP integration itself must be rebuilt via MuleSoft or a native Salesforce connector.

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.

FieldPro logo

FieldPro gotchas

High

Quarterly billing minimum masks true cost

High

License count is tied to all active mobile users

Medium

Detect module image metadata is separate from image files

Medium

ERP integrations must be rebuilt on the destination platform

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

  • FieldPro's flexible schema requires manual custom field creation in Salesforce before migration

    FieldPro's per-deployment custom fields (outlet condition ratings, visit type tags, product pack sizes, ERP reference IDs) have no standard Salesforce equivalent. The migration plan must enumerate every FieldPro custom field and map each to a Salesforce custom field created with the __c suffix before data lands. This planning step adds 3–7 days to the pre-migration phase for complex FieldPro deployments. Skipping this creates records with null values for every custom property, which then requires a corrective delta run. We deliver a custom-field manifest before migration so Salesforce admins can pre-create the schema.

  • GPS coordinates and spatial visit data have no native Salesforce field

    FieldPro visit records carry GPS latitude and longitude captured at the outlet during the field visit. Salesforce has no native geolocation fields on the Task object — Latitude and Longitude fields exist only on Lead and Contact as part of Salesforce Mobile GPS features, not on Task by default. The migration preserves GPS data as custom Number fields (Visit_GPS_Latitude__c, Visit_GPS_Longitude__c) on the Task record. If your reporting depends on map visualizations, Salesforce Maps (a paid add-on) can consume these custom fields, but the native Salesforce Map component cannot read them automatically. We surface this gap in the migration plan so it does not surface as a surprise post-migration.

  • FieldPro-ERP integration references have no functional equivalent in Salesforce

    FieldPro stores external ERP identifiers — NetSuite customer IDs, Sage account references, SYSPRO ledger keys — on outlet and order records. These fields preserve as text custom fields in Salesforce for audit traceability, but the actual ERP connection does not migrate. The Salesforce ERP integration must be rebuilt using MuleSoft Anypoint Platform, a native Salesforce connector, or a third-party iPaaS such as Boomi or Workato. This rebuild is a separate workstream estimated and scoped outside the data migration engagement. We document every ERP reference field in the mapping plan so your integration team has a complete field list.

  • FieldPro's per-outlet classification labels require value-mapping before migration

    FieldPro outlet classification labels — tier names, channel types, outlet status tags — are defined per FieldPro deployment and vary by customer. Salesforce Industry pick-list values are predefined and not globally editable without Salesforce support in some editions. FieldPro outlet type values must be mapped to existing Salesforce Industry values or migrated as a custom pick-list field on Account (Outlet_Classification__c). If your team relies on FieldPro labels for segmentation, we recommend the custom field approach to avoid losing label granularity. We capture the full label inventory from FieldPro before migration and propose the mapping strategy in the pre-migration review.

Migration approach

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

  1. Analyze FieldPro data model and map to Salesforce schema

    We begin by connecting to FieldPro's REST API (or exporting via CSV) to enumerate every object, custom field, and relationship present in your deployment. We cross-reference this against Salesforce's standard objects and deliver a field-level mapping document that identifies which FieldPro fields map directly, which require custom field creation, and which have no Salesforce equivalent and will be preserved as reference fields. This analysis typically takes 2–4 business days and is completed before any data moves.

  2. Create Salesforce custom fields and configure target schema

    Using the mapping document, your Salesforce admin (or our team) creates the required custom fields on Account, Task, Opportunity, and Product2 objects. GPS coordinate fields on Task, outlet classification pick-lists on Account, and ERP reference fields all get __c fields before migration begins. We deliver a Salesforce Setup checklist so the schema is ready before validation runs. This step is the longest pre-migration activity for FieldPro deployments with heavy custom-field usage.

  3. Export and transform FieldPro data into Salesforce-compatible format

    FlitStack exports all objects from FieldPro via its REST API or CSV export endpoints, then runs the data through a transformation layer. This layer applies value mappings for outlet types and order statuses, resolves outlet references to AccountIds, matches users by email to Salesforce UserIds, and splits GPS coordinates into separate latitude and longitude fields. Transformed data is staged in CSV format matching Salesforce's import requirements for Bulk API ingestion.

  4. Run sample migration and validate field-level accuracy

    A representative slice of records — typically 200–500 across outlets, visits, orders, and products — migrates into your Salesforce sandbox first. We generate a field-level diff showing every source value and its destination counterpart so you can verify outlet classification mapping, GPS field population, order-to-opportunity stage mapping, and owner resolution before the full run commits. Adjustments to the mapping logic happen at this stage with no risk to live data.

  5. Execute full migration with delta-pickup window

    The full migration runs against your Salesforce production org. A delta-pickup window (24–48 hours after the primary run) captures any outlet or order records modified in FieldPro during the cutover period. FlitStack maintains a scoped read-access integration to FieldPro during this window so your team can continue working without interruption. After the delta window closes, FieldPro is placed in read-only mode for the final switchover.

  6. Validate data integrity and deliver migration audit log

    Post-migration, we run record-count reconciliation against FieldPro's export totals and spot-check key fields — account names, order amounts, visit timestamps, and GPS coordinates. We deliver a CSV audit log listing every migrated record with its FieldPro source ID and Salesforce ID. If reconciliation fails within the rollback window, one-click rollback reverts the Salesforce org to its pre-migration state. We also deliver a Workflow Rebuild Reference document listing every FieldPro automation with its trigger and action logic for your Salesforce admin to use when rebuilding in Flow.

Platform deep dives

Context on both ends of the pair

FieldPro logo

FieldPro

Source

Strengths

  • Modular licensing (Core, Detect, Direct, AI) scales with operational complexity rather than forcing full-stack adoption.
  • Real-time field-to-office data flow reduces the lag between field activity and management reporting.
  • Deployment packages (Basic through Enterprise) provide structured onboarding paths for teams of different sizes.
  • GPS-tagged Visit and Outlet data gives a clean spatial record for distributor territory planning.

Weaknesses

  • Quarterly billing with minimum seat counts creates upfront commitment that mid-size distributors find difficult to adjust mid-contract.
  • English-only documentation and interface limit adoption in non-English-speaking field markets.
  • ERP integration setup carries significant one-time cost (€2,000 setup) that is not transparent in headline per-user pricing.
  • UI bugs and dashboard redesign needs generate support tickets that slow day-to-day operational use.
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 FieldPro 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

    FieldPro: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your FieldPro 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 FieldPro to Salesforce Sales Cloud data migrations

Answers to the questions buyers ask most during FieldPro 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 FieldPro-to-Salesforce migrations complete in 48–72 hours of clock time for under 50,000 records. Larger setups with 500,000+ records, deep outlet hierarchies, or more than 20 custom fields per object extend to 5–10 days. The longest planning step is mapping FieldPro's flexible custom-field schema to Salesforce custom fields before migration runs — this pre-migration phase typically adds 3–7 business days for complex FieldPro deployments.

Adjacent paths

Related migrations to explore

Ready when you are

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