CRM migration

Migrate from Fieldmagic to Salesforce Sales Cloud

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

Fieldmagic logo

Fieldmagic

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

100%

11 of 11

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

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Fieldmagic is a field service management platform built around Customers, Sites, Contacts, Jobs, Quotes, and Assets — each job carries scheduling, task lists, line items, and technician assignments. Salesforce Sales Cloud is a sales CRM built around Accounts, Contacts, Leads, Opportunities, and Cases — it has no native job or asset-tracking object, so field service data requires custom objects and careful relationship mapping. We extract Fieldmagic data via its REST API using scoped read access, map every standard object (Customers → Accounts, Contacts → Contacts, Sites → Account Address lookups, Jobs → Custom Job Object with Task and Event records, Quotes → Opportunities with line items, Assets → Custom Asset Object with Account lookup), preserve original create timestamps and technician owner IDs, and load via Salesforce Bulk API. Workflows, scheduling rules, and quote templates do not transfer — we export definitions as a rebuild reference for your Salesforce admin. Sample migration with field-level diff runs first; delta-pickup window captures any records modified during cutover.

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

Fieldmagic logo

Fieldmagic

What's pushing teams away

  • The platform becomes cost-prohibitive as teams scale — multiple office users, more technicians, and advanced features tier out quickly, and the per-seat model compounds for growing field service businesses.
  • Salesforce underpinnings add unnecessary complexity for straightforward field service needs — smaller teams report the CRM features feel oversized for their actual job management requirements.
  • Limited API documentation and no publicly documented bulk export mechanism makes it difficult for technical teams to build custom integrations or extract data for migration without vendor involvement.
  • Some users report the UI, while functional, lacks the polish of newer FSM competitors, and certain workflow automation features require a steeper learning curve to configure effectively.

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 Fieldmagic objects map to Salesforce Sales Cloud

Each row shows how a Fieldmagic 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.

Fieldmagic

Customer

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Direct map. Fieldmagic Customers become Salesforce Accounts. Primary site address migrates as the Account billing/shipping address, and any secondary addresses are stored as custom address fields or linked Site__c records. Multi‑site customers require additional Site records linked via Account.Address_Linked_Sites__c or a custom junction object, preserving the original customer identifier in Source_System_ID__c for traceability.

Fieldmagic

Site

maps to

Salesforce Sales Cloud

Account (address hierarchy) + Custom Site__c

1:1
Fully supported

Fieldmagic Sites carry location-specific addresses and site managers. Salesforce has no native multi-site-per-account object, so we create a custom Site__c object with an AccountId lookup to the parent Account, a Site_Manager__c field for the manager name, and a Site_Contact__c lookup for the on‑site contact. This structure keeps each physical location separate while remaining related to the Account for reporting.

Fieldmagic

Contact

maps to

Salesforce Sales Cloud

Contact

1:1
Fully supported

Direct map. Fieldmagic Contacts become Salesforce Contacts with AccountId set to the parent Customer/Account. Mobile phone and email are preserved as standard fields, and any secondary phone numbers are stored in custom fields. Contacts without a parent Customer land against a default 'Unassigned Accounts' placeholder, ensuring no orphan records remain in the system.

Fieldmagic

Job

maps to

Salesforce Sales Cloud

Custom Job__c object

1:1
Fully supported

Salesforce has no native Job object. We create a custom Job__c object in Salesforce to mirror Fieldmagic's job structure. Job__c links to Account (the customer), Contact (the site contact), a custom Asset__c record (if applicable), and OwnerId (the assigned technician). Job status maps to a custom pick-list.

Fieldmagic

Job Task / Checklist Item

maps to

Salesforce Sales Cloud

Task + Custom Job_Task__c

1:1
Fully supported

Fieldmagic task checklists and checklist items migrate as Task records with ParentId pointing to the custom Job__c, plus a custom Job_Task__c object storing checklist metadata such as item order, required flag, and completed flag. This dual‑record approach maintains full fidelity of the original checklist structure, enabling accurate work‑order tracking in Salesforce.

Fieldmagic

Job Line Item / Time and Materials

maps to

Salesforce Sales Cloud

OpportunityLineItem

1:1
Fully supported

Fieldmagic job line items (parts, labor, materials) map to Opportunity Products on a Salesforce Opportunity linked to the Job__c. If the job was quoted but not yet converted, the original quote migrates as an Opportunity with Products representing the quoted items.

Fieldmagic

Quote

maps to

Salesforce Sales Cloud

Opportunity + Custom Quote__c

1:1
Fully supported

Fieldmagic quotes carry header fields, line items, terms, and status. We map quote header fields to a custom Quote__c object linked to the Opportunity. Line items become Opportunity Products. Quote status (Draft, Sent, Accepted) maps to a custom pick-list on Quote__c.

Fieldmagic

Asset / Asset Type

maps to

Salesforce Sales Cloud

Asset (native) + Custom Asset__c

1:1
Fully supported

Fieldmagic Asset records (serial number, maintenance schedule, install date) map to Salesforce's native Asset object in Service Cloud contexts. In Sales Cloud-only orgs we create a custom Asset__c object with AccountId, Location__c (Site__c lookup), and maintenance fields. Asset Type becomes a custom pick-list on the asset object.

Fieldmagic

User / Technician

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Fieldmagic technicians and office users resolve by email match to Salesforce Users. Unmatched users are flagged before migration so the team can create Salesforce accounts or assign records to a fallback owner. Active/inactive status maps from Fieldmagic user records, and any missing email addresses trigger a review step to prevent data loss.

Fieldmagic

File / Attachment

maps to

Salesforce Sales Cloud

ContentDocument / Attachment

1:1
Fully supported

Fieldmagic files attached to jobs, sites, and assets are downloaded and re‑uploaded to Salesforce as ContentDocuments (Files) linked to the target record. Files that exceed Salesforce's 25 MB limit are split into smaller chunks, or archived with a reference link stored in a custom Notes field on the record, ensuring no attachments are lost during migration.

Fieldmagic

Custom Property

maps to

Salesforce Sales Cloud

Custom Field (__c)

1:1
Fully supported

Every Fieldmagic custom property (fields added per account or job type) requires a corresponding custom field in Salesforce — either on the standard object (Account, Contact, Job__c) or on a custom object. FlitStack AI generates the field creation plan as part of the pre-migration schema setup deliverable.

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.

Fieldmagic logo

Fieldmagic gotchas

High

Site-Asset hierarchy is a mandatory import dependency

Medium

Checklist auto-attachment and completion data require separate handling

Medium

Salesforce custom objects and custom fields are not covered by standard import

Medium

Contract pricing links to invoicing require value-level mapping

High

Bulk API extraction is not publicly documented

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

  • Job and asset data require custom Salesforce objects — there is no native equivalent in Sales Cloud

    Salesforce Sales Cloud has no native Job or Asset object in its standard data model. Asset tracking is available in Service Cloud or the Field Service Managed Package, but pure Sales Cloud orgs must create custom objects (Job__c and Asset__c) to hold migrated Fieldmagic data. FlitStack AI delivers a complete custom object schema definition as part of the pre-migration planning package, so Salesforce admins can create the objects and fields before data lands. Without this step, the migration plan cannot validate field-level mappings and the load will fail foreign-key checks.

  • Fieldmagic file attachments exceed Salesforce's default 25MB single-file limit

    Fieldmagic allows file attachments on jobs, sites, and assets that can exceed Salesforce's default 25MB per-file upload cap. We download all attachments from Fieldmagic, check each file size against Salesforce's limit, split oversized files into chunks, and re-upload as Salesforce Files with the parent record linked correctly. If a file cannot be split (such as a compressed archive), we alert the admin before migration and archive it with a reference link stored in a custom Notes field on the record.

  • Job scheduling data does not transfer to Salesforce's native calendar — it requires a scheduling add-on or Flow rebuild

    Fieldmagic's drag-and-drop scheduler with technician assignments, time windows, and GPS tracking has no direct equivalent in Salesforce Sales Cloud. The job start/end times and assigned technician migrate as fields on the custom Job__c record, but the visual scheduling interface must be rebuilt using Salesforce Calendar, a third-party scheduling app from the AppExchange (such as ClickSaaS or Fieldy), or a custom Flow. We export Fieldmagic's scheduling configuration as a reference document so the admin can spec out the scheduling rebuild.

  • Quote-to-job conversion logic is not preserved — quote status routing must be rebuilt in Salesforce

    Fieldmagic allows converting a quote to a job with one click, carrying line items, site, and contact forward automatically. Salesforce has no equivalent auto-conversion between Opportunities and custom Job__c records. We preserve quote data as Opportunities with Products and link them to the corresponding Job__c via a lookup field (Quote_Converted_To_Job__c), but the workflow logic that triggers conversion based on quote acceptance must be rebuilt as a Salesforce Flow or Apex trigger — a deliverable your admin builds post-migration using our quote definition export.

  • Fieldmagic API rate limits are not publicly documented — high-volume extractions require plan verification

    Unlike Salesforce, Fieldmagic does not publish its API rate limits in public documentation. During discovery, FlitStack AI tests extraction throughput against the specific plan tier (Starter, Professional, Enterprise) and requests access to higher-rate API keys if needed. If the source account is on a Starter plan with throttling constraints, we adjust extraction batching and add retry logic — this may extend the extraction timeline and will be flagged in the discovery report before migration commits.

Migration approach

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

  1. Stand up Salesforce schema first

    Before data moves, FlitStack AI reviews the Fieldmagic data model — Customers, Sites, Jobs, Quotes, Assets, and any custom properties — and delivers a complete Salesforce schema setup plan. The plan specifies the custom Job__c and Asset__c objects with all required fields, pick-list value sets, and lookups (AccountId, Site__c, Asset__c), plus any custom fields needed on standard objects. Salesforce admins create the schema; we validate field-level availability before scheduling the extraction run.

  2. Resolve owners and users by email

    Fieldmagic technicians and office users map to Salesforce Users by email address. We run a pre-flight check comparing every unique owner ID in Fieldmagic against Salesforce User emails. Unmatched users are flagged — your team either creates Salesforce User accounts for them first or assigns their records to a designated fallback owner before migration. No job, contact, or asset record lands without a valid Salesforce OwnerId.

  3. Sequence the migration in dependency order

    Salesforce requires parent records before children: Accounts first (from Fieldmagic Customers), then Contacts and Site__c records with AccountId lookups, then custom Job__c records with ContactId and AssetId lookups, then Tasks and Events as children of Job__c, then Opportunity Products as children of Opportunities linked from Quotes. We generate an ordered load plan so foreign keys resolve correctly and the final record graph mirrors Fieldmagic's relationship structure.

  4. Run a sample migration with field-level diff

    A representative slice — typically 100–500 records covering a mix of customers, sites, contacts, jobs, quotes, and assets — migrates first into the Salesforce sandbox or a dev org. FlitStack AI generates a field-level diff comparing source field values against the destination Salesforce field values for every mapped column. You verify that job status pick-list values render correctly, site addresses map to the right custom fields, and asset serial numbers land in the Asset.SerialNumber field. No full run commits until you approve the sample diff.

  5. Cut over with delta-pickup for in-flight records

    The full migration runs against Salesforce using Bulk API for high-volume loads. During the cutover window — typically 24–48 hours — your team keeps working in Fieldmagic. A delta-pickup pass at the end of the window captures any records created or modified in Fieldmagic after the main extraction timestamp. FlitStack AI generates an audit log of every insert, update, and relationship link. One-click rollback reverts all migration changes if reconciliation against the source data reveals unexpected discrepancies.

Platform deep dives

Context on both ends of the pair

Fieldmagic logo

Fieldmagic

Source

Strengths

  • End-to-end job lifecycle from quote through invoicing with time-and-materials and fixed-price billing in one platform.
  • Offline-capable mobile app with real-time GPS technician tracking and paperless field workflows.
  • Native Xero and QuickBooks Online accounting sync with MYOB AccountRight support for Australian businesses.
  • Built-in asset management with Site-level tracking, maintenance history, and inspection checklists.
  • All-inclusve pricing with no storage, usage, or basic support add-ons on any paid tier.

Weaknesses

  • Per-seat pricing compounds quickly as field teams grow — office user and mobile user licenses are counted separately.
  • Salesforce base adds CRM complexity that smaller field service teams may not need, increasing onboarding overhead.
  • Bulk API export mechanism is not publicly documented, limiting programmatic data extraction for migrations and integrations.
  • Mobile-only plan at $19/user/month lacks the full feature set available on higher tiers, creating feature-gated upgrades.
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 Fieldmagic 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

    Fieldmagic: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Fieldmagic 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 Fieldmagic to Salesforce Sales Cloud data migrations

Answers to the questions buyers ask most during Fieldmagic 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 Fieldmagic-to-Salesforce migrations complete in 48–72 hours of clock time for under 50,000 records when the Salesforce schema (Job__c, Asset__c, Site__c custom objects) is pre-built. Larger setups with 500k+ records, complex asset maintenance histories, or high-volume job-task line item counts extend to 5–7 days. The longest single step is usually the custom object schema setup on the Salesforce side — that runs in parallel with data extraction planning and does not add sequential time if the admin starts it early.

Adjacent paths

Related migrations to explore

Ready when you are

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