CRM migration

Migrate from Fieldmagic to Pipedrive

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

Fieldmagic logo

Fieldmagic

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

92%

12 of 13

objects map 1:1 between Fieldmagic and Pipedrive.

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 on a CRM core — its data model centers on Customers linked to Sites, which carry Assets and are serviced by Jobs and Quotes. Pipedrive is a sales CRM that models the world as Persons linked to Organizations, closed through Deals. The two models diverge structurally: Fieldmagic's hierarchical site-and-asset architecture has no direct Pipedrive equivalent, and Pipedrive has no native job-scheduling, work-order, or asset-tracking module. FlitStack AI bridges this gap by flattening Fieldmagic's hierarchy into Pipedrive's flatter object model. Customers map to Organizations (with primary contacts as linked Persons). Sites map to Organization address fields or custom fields depending on whether the site represents a service location or a customer entity. Fieldmagic Jobs map to Pipedrive Deals with the site reference preserved as a custom field and the assigned technician resolved by email match to a Pipedrive user. Fieldmagic Assets map to Pipedrive Products, losing some FSM context (maintenance schedules, parts history) that needs to be rebuilt as custom fields or documented for your Pipedrive admin. Our migration engine reads Fieldmagic via its API using scoped read access, transforms records according to the field mapping, and loads into Pipedrive via the REST API. A delta-pickup window captures any changes made during the cutover window. Workflows, automations, reporting rules, and third-party integrations do not migrate — FlitStack provides export-for-rebuild packages so your Pipedrive admin can reconstruct these in Pipedrive's automation builder.

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

Pipedrive logo

Pipedrive

What's pulling them in

  • Clean drag-and-drop pipeline interface with minimal learning curve, making it approachable for small sales teams without dedicated CRM admins.
  • Visual deal tracking keeps reps focused on next actions — activities, calls, and follow-up tasks surface directly in the pipeline view.
  • Strong integrations via Zapier and native marketplace apps let teams wire Pipedrive into Calendly, ActiveCampaign, and similar sales-stack tools.
  • Mobile apps for iOS and Android keep field reps connected to deals, contacts, and tasks without a desktop session.
  • Reputation and review volume — over 3,000 verified reviews across G2 and Capterra — signal reliability for teams evaluating CRM options.

Object mapping

How Fieldmagic objects map to Pipedrive

Each row shows how a Fieldmagic object lands in Pipedrive, 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

Pipedrive

Organization

1:1
Fully supported

Fieldmagic Customers map 1:1 to Pipedrive Organizations. Company name, phone, website, and industry map directly. Multi-contact associations (Fieldmagic allows N contacts per customer) resolve to the primary contact as the Organization's linked Person, with additional contacts stored as additional Person records linked to the same Organization.

Fieldmagic

Customer

maps to

Pipedrive

Person

1:many
Fully supported

When a Fieldmagic Customer record represents an individual rather than a company (sole trader), it splits to a Pipedrive Person without a parent Organization. We use the customer type flag or a non-empty individual-name pattern to detect this case before migration. The email address serves as the Person record's unique identifier for de-duplication.

Fieldmagic

Site

maps to

Pipedrive

Organization (address fields) + custom fields

1:1
Fully supported

Fieldmagic Sites store multi-line addresses with GPS coordinates and site-specific notes. We map the address lines to Pipedrive Organization's combined address field. GPS coordinates, site reference numbers, and site-level custom properties migrate as Pipedrive custom fields on the parent Organization. Sites without a parent Customer are flagged for manual review before migration.

Fieldmagic

Contact

maps to

Pipedrive

Person

1:1
Fully supported

Fieldmagic Contacts map directly to Pipedrive Persons using first name, last name, email, phone, and job title. The primary_contact flag maps to the Person that auto-links to the parent Organization. Secondary contacts on the same Customer are migrated as separate Person records sharing the same Organization.

Fieldmagic

Contact.company_id

maps to

Pipedrive

Person.org_id

1:1
Fully supported

Fieldmagic's contact-to-customer link uses a customer_id foreign key. During migration we first create all Organizations, then resolve Contact.company_id to the new Pipedrive Organization ID. Unresolved references (deleted customers) land the Person as an unlinked record for your admin to reassign manually.

Fieldmagic

Job

maps to

Pipedrive

Deal

1:1
Fully supported

Fieldmagic Jobs are the core FSM entity with status, assigned technician, scheduled date, line items, and checklist steps. We map Jobs to Pipedrive Deals: job title → Deal title, total_amount → Deal value, status → Deal stage (value mapping), site_id → custom field + org link. The FSM checklist structure (step-by-step tasks) cannot map to any native Pipedrive object and is exported as a JSON attachment or custom field for rebuild reference.

Fieldmagic

Quote

maps to

Pipedrive

Deal

1:1
Fully supported

Fieldmagic Quotes (pre-approval sales documents) map to Pipedrive Deals. Quote status (quoted, approved, rejected) maps to Pipedrive Deal stage values via value_mapping. Approved Quotes that convert to Jobs in Fieldmagic create a Deal in Pipedrive with the job reference stored as a custom field, linking the two records for post-migration traceability.

Fieldmagic

Asset Type

maps to

Pipedrive

Product (category field)

1:1
Fully supported

Fieldmagic Asset Types (equipment categories like HVAC, Electrical, Plumbing) map to Pipedrive Product categories or a custom field on the Product object. The category tree structure in Fieldmagic is flattened to a single category string in Pipedrive. We preserve the full type name in a custom field to avoid information loss.

Fieldmagic

Asset

maps to

Pipedrive

Product

1:1
Fully supported

Fieldmagic Assets (individual equipment records with serial numbers, install dates, and location) map to Pipedrive Products. Serial number → Product code, install date → custom date field, warranty expiry → custom date field, location/site → custom field linking back to the Organization. Maintenance schedules and parts histories do not migrate — these are exported as a rebuild reference for Pipedrive automations.

Fieldmagic

User (technician / office staff)

maps to

Pipedrive

User

1:1
Fully supported

Fieldmagic Users (both office users and mobile technicians) map to Pipedrive Users by email match. All active Fieldmagic users get a corresponding Pipedrive user account. Inactive users are optionally migrated with a deactivated flag. Technician-specific permissions (mobile app access) are not replicated in Pipedrive — those permissions are destination-side configuration.

Fieldmagic

Invoice

maps to

Pipedrive

No equivalent

1:1
Fully supported

Fieldmagic Invoices have no Pipedrive equivalent — Pipedrive has no native billing module. We preserve invoice records as a custom field set on the associated Deal (invoice number, amount, date, status) and provide an invoice data export as a CSV for import into your accounting tool (Xero, QuickBooks, MYOB) post-migration.

Fieldmagic

Custom Property (all objects)

maps to

Pipedrive

Custom Field

1:1
Fully supported

Fieldmagic custom properties on Customers, Sites, Contacts, Jobs, Quotes, and Assets require pre-created Pipedrive custom fields before migration. We deliver a custom field creation plan with exact names, types (text, number, date, picklist), and object assignments. Pipedrive assigns 40-character hash keys to custom fields at creation — our migration engine resolves these dynamically so field mapping stays accurate per account.

Fieldmagic

Schedule

maps to

Pipedrive

Activity

1:1
Fully supported

Fieldmagic Schedules (technician time blocks on jobs) map to Pipedrive Activities with Type='Task' or Type='Meeting'. The scheduled start and end times map to the Activity's due date and duration. Full-day schedules with travel time do not have a Pipedrive equivalent and are stored as Activity description text for manual scheduling in Pipedrive.

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

Pipedrive logo

Pipedrive gotchas

High

Custom field hash keys differ per account

High

Export access gated by visibility groups

Medium

Token-based API rate limits since December 2024

Medium

Sequences and Automations not exposed via REST API

Low

Cost escalates via workflow caps and add-ons

Pair-specific challenges

  • Pipedrive has no native field-service module — jobs become deals and lose FSM context

    Fieldmagic Jobs carry scheduling windows, assigned technicians, site visit checklists, parts-used line items, and job-type categories that have no Pipedrive equivalent. FlitStack AI maps Jobs to Pipedrive Deals with the site reference and technician stored as custom fields, and exports the full checklist structure as a JSON rebuild reference. But the Pipedrive Deals view will not show a job-step timeline, a route-optimized schedule, or FSM-specific fields natively — your Pipedrive admin needs to decide which FSM context to surface as custom fields and which to rebuild as Pipedrive Activities or separate Products.

  • Pipedrive custom fields use dynamically-assigned hash keys — name-based mapping requires a pre-migration field-creation step

    When you create a custom field in Pipedrive, the platform assigns it a 40-character hash key (e.g., a1b2c3d4e5...) that is the actual API field name. Pipedrive does not use the human-readable field name as the API identifier. Before FlitStack AI can map Fieldmagic custom properties to Pipedrive custom fields, your Pipedrive workspace needs those custom fields created so we can retrieve their hash keys. We deliver a field-creation specification (exact names, types, and object assignments) before migration runs, and our engine resolves hash keys dynamically per account so field mapping is always accurate.

  • Pipedrive's asset model is a product catalog, not an equipment registry

    Fieldmagic Asset records store serial numbers, install dates, warranty expiry, maintenance schedules, and site associations for each piece of equipment. Pipedrive Products model items you sell, not items you service — there is no native field to store a warranty expiry date, an install location, or a maintenance schedule on a Product. FlitStack AI maps Assets to Pipedrive Products using the serial number as the product code and stores the FSM-specific fields (install date, warranty expiry, site reference) as custom fields on the Product. Recurring maintenance reminders and FSM-specific automation triggers have no Pipedrive equivalent and must be rebuilt in Pipedrive's automation builder.

  • Pipedrive's per-seat pricing with token-based API rate limits can throttle bulk migration

    Pipedrive introduced token-based rate limits in December 2024 that apply per API token per minute. Large migrations (50,000+ records) with many API calls for nested object resolution (Person → Organization → Deal → Activity) can hit rate limits if run on a single API token. FlitStack AI distributes write operations across multiple Pipedrive API tokens when record counts exceed a threshold, and implements exponential back-off with retry logic to handle 429 responses without data loss. We surface the rate-limit configuration to your Pipedrive admin before migration so they can provision additional API tokens if needed.

  • Invoices have no Pipedrive equivalent — billing data must migrate to a separate accounting tool

    Fieldmagic Invoices (with line items, tax rates, payment status, and Xero/QuickBooks sync history) have no Pipedrive equivalent — Pipedrive's data model is sales-focused and has no native invoicing module. FlitStack AI preserves invoice records as a structured CSV export with invoice number, date, amount, customer reference, and line items, tagged to the migrated Deal and Organization so the export can be imported into your accounting tool post-migration. The Xero or MYOB connector that Fieldmagic uses for invoicing must be replaced with Pipedrive's native accounting integrations or a Zapier/Make workflow rebuilt for the new accounting platform.

Migration approach

Six steps for a successful Fieldmagic to Pipedrive data migration

  1. Scope and audit Fieldmagic data

    FlitStack AI connects to Fieldmagic via scoped read-only API access and audits all Customers, Sites, Contacts, Jobs, Quotes, Assets, and custom properties before migration. We count records per object, profile data quality (duplicate detection, missing required fields, orphaned site references), and identify any Fieldmagic custom properties that lack a Pipedrive equivalent. The audit report identifies which records need pre-migration cleanup and delivers a Pipedrive custom-field creation specification so your workspace is ready before data moves.

  2. Create Pipedrive custom fields and configure pipelines

    Before any data lands in Pipedrive, your admin (or our team) creates the custom fields listed in the migration specification — job-status fields on Deals, site-reference fields on Organizations, install-date and warranty fields on Products, and any FSM-specific pick-list values. We also configure Pipedrive pipelines and stages to match the target state: if Fieldmagic has separate Quote and Job pipelines, these map to separate Pipedrive pipeline stages or separate Pipedrive pipelines. This step ensures Pipedrive's schema is ready to receive data without post-migration field creation.

  3. Resolve users and technicians by email

    FlitStack AI matches Fieldmagic Users and assigned technicians to Pipedrive Users by email address. Any Fieldmagic user whose email does not match an existing Pipedrive user is flagged before migration — your team either invites them to Pipedrive first or assigns their records to a fallback owner. No Deal, Person, or Organization lands without a valid Pipedrive owner. Site associations and asset-to-organization links are also resolved during this step so parent-child relationships are intact when child records load.

  4. Run sample migration with field-level diff

    A representative slice of records — typically 100–500 spanning Customers, Persons, Jobs/Deals, Assets/Products, and Activities — migrates first. We generate a field-level diff comparing each source field against the destination field so you can verify that site references resolved correctly, job status values mapped to the right Pipedrive stages, and asset serial numbers landed in the Product code field. Issues caught in the sample migration are corrected before the full run commits. Your team reviews the sample before we proceed.

  5. Full migration with delta-pickup and rollback

    The full migration runs against Pipedrive — Organizations first (to satisfy foreign keys), then Persons, then Deals with Job and Quote data, then Products with Asset data. A delta-pickup window (typically 24–48 hours) captures any records created or modified in Fieldmagic during the cutover so Pipedrive reflects Fieldmagic's final state at go-live. Our audit log records every operation. If reconciliation fails, one-click rollback reverts the Pipedrive workspace to its pre-migration state. We perform a post-migration QA pass checking record counts, org-person-deal relationships, and custom field values before sign-off.

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.
Pipedrive logo

Pipedrive

Destination

Strengths

  • Intuitive drag-and-drop pipeline that sales reps actually use without resistance or training overhead.
  • Per-seat unlimited-deals model on all tiers — reps cannot be blocked from logging activity.
  • Active marketplace with 400+ integrations and a documented REST API with OpenAPI 3 specs.
  • Mobile apps with offline access, call logging, and calendar sync keep field teams operational.
  • Strong focus on sales activity tracking — next-action reminders and follow-up scheduling are first-class features.

Weaknesses

  • No custom objects — teams needing non-standard data structures must work around the four standard entity types.
  • Workflow automation limits by tier (30, 60, 90 active workflows) force upgrades as processes grow.
  • No free permanent plan — teams evaluating fit must commit to a trial without a freemium option.
  • Limited advanced reporting and custom dashboard capabilities compared to HubSpot or Salesforce.
  • Export permissions are gated by visibility groups, meaning data scoping must account for who can see what before migration.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 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 Pipedrive.

  • Object compatibility

    B

    3 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 Pipedrive 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 Pipedrive data migrations

Answers to the questions buyers ask most during Fieldmagic to Pipedrive 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 Pipedrive migrations complete in 48–72 hours for under 50,000 total records. Larger setups with 200,000+ records or complex asset-to-product translation extend to 7–10 days. The longest step is usually creating Pipedrive custom fields to match Fieldmagic's custom property count before the first record loads — that setup work typically takes 3–5 business days and can overlap with FlitStack's audit phase.

Adjacent paths

Related migrations to explore

Ready when you are

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