CRM migration
Field-level mapping, validation, and rollback between Fieldmagic and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Fieldmagic
Source
Pipedrive
Destination
Compatibility
12 of 13
objects map 1:1 between Fieldmagic and Pipedrive.
Complexity
BStandard
Timeline
48–72 hours
Overview
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.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
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
Pipedrive
Organization
1:1Fieldmagic 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
Pipedrive
Person
1:manyWhen 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
Pipedrive
Organization (address fields) + custom fields
1:1Fieldmagic 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
Pipedrive
Person
1:1Fieldmagic 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
Pipedrive
Person.org_id
1:1Fieldmagic'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
Pipedrive
Deal
1:1Fieldmagic 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
Pipedrive
Deal
1:1Fieldmagic 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
Pipedrive
Product (category field)
1:1Fieldmagic 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
Pipedrive
Product
1:1Fieldmagic 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)
Pipedrive
User
1:1Fieldmagic 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
Pipedrive
No equivalent
1:1Fieldmagic 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)
Pipedrive
Custom Field
1:1Fieldmagic 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
Pipedrive
Activity
1:1Fieldmagic 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.
| Fieldmagic | Pipedrive | Compatibility | |
|---|---|---|---|
| Customer | Organization1:1 | Fully supported | |
| Customer | Person1:many | Fully supported | |
| Site | Organization (address fields) + custom fields1:1 | Fully supported | |
| Contact | Person1:1 | Fully supported | |
| Contact.company_id | Person.org_id1:1 | Fully supported | |
| Job | Deal1:1 | Fully supported | |
| Quote | Deal1:1 | Fully supported | |
| Asset Type | Product (category field)1:1 | Fully supported | |
| Asset | Product1:1 | Fully supported | |
| User (technician / office staff) | User1:1 | Fully supported | |
| Invoice | No equivalent1:1 | Fully supported | |
| Custom Property (all objects) | Custom Field1:1 | Fully supported | |
| Schedule | Activity1:1 | Fully supported |
Gotchas + challenges
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 gotchas
Site-Asset hierarchy is a mandatory import dependency
Checklist auto-attachment and completion data require separate handling
Salesforce custom objects and custom fields are not covered by standard import
Contract pricing links to invoicing require value-level mapping
Bulk API extraction is not publicly documented
Pipedrive gotchas
Custom field hash keys differ per account
Export access gated by visibility groups
Token-based API rate limits since December 2024
Sequences and Automations not exposed via REST API
Cost escalates via workflow caps and add-ons
Pair-specific challenges
Migration approach
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.
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.
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.
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.
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
Fieldmagic
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Fieldmagic and Pipedrive.
Object compatibility
3 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Fieldmagic: Not publicly documented.
Data volume sensitivity
Fieldmagic doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
Answers to the questions buyers ask most during Fieldmagic to Pipedrive migration scoping. Not seeing yours? Book a call.
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