CRM migration
Field-level mapping, validation, and rollback between Field Squared and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Field Squared
Source
Pipedrive
Destination
Compatibility
9 of 10
objects map 1:1 between Field Squared and Pipedrive.
Complexity
BStandard
Timeline
24-48 hours
Overview
Field Squared is a field-service automation platform built around work orders, tasks, technicians, and asset management. Pipedrive is a sales CRM built around persons, organizations, deals, and activities. The two platforms share a person-organization model but diverge sharply on work-order handling and service-specific data. We map Field Squared contacts to Pipedrive Persons, companies to Organizations, work orders to Deals (preserving amounts and stages), and tasks to Activities with original timestamps and owners intact. Custom fields in Field Squared (30+ field types) become Pipedrive custom fields — we translate compatible types directly and flag complex types that need restructuring. Pipedrive's token-based rate limits (introduced December 2024) require throttled extraction from Field Squared's REST API, which we manage with batch operations and retry logic. Workflows, automations, and third-party integrations do not migrate and must be rebuilt in Pipedrive or reconnected via Zapier. We sequence the migration so foreign-key relationships resolve correctly: Organizations first, then Persons, then Deals, then Activities. A delta-pickup window captures records modified during cutover so Pipedrive reflects Field Squared's final state at go-live.
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 Field Squared 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.
Field Squared
Contact
Pipedrive
Person
1:1Direct 1:1 map. Field Squared contacts become Pipedrive Persons preserving name, email, phone, and job title. Contacts without a primary company link to a default organization or land unlinked in Pipedrive. Custom fields on contacts migrate as Pipedrive custom person fields.
Field Squared
Company
Pipedrive
Organization
1:1Direct 1:1 map transfers Field Squared company data to Pipedrive Organizations. The company name, domain, address, industry classification, and employee count fields map to their Pipedrive Organization equivalents. Parent-child company hierarchies in Field Squared are preserved using Pipedrive's parent organization field. When multiple contacts belong to the same company, they link to a single Organization record with multiple associated Persons.
Field Squared
Work Order
Pipedrive
Deal
1:1Field Squared work orders become Pipedrive Deals. The work order name becomes the Deal title, amount maps to value, status maps to Pipeline stage, and expected completion maps to close date. Custom service fields on the work order migrate as custom Deal fields. Multiple work order types can map to separate Pipedrive pipelines.
Field Squared
Task
Pipedrive
Activity
1:1Direct map. Field Squared tasks become Pipedrive Activities with type, due date, and status preserved. TaskType values (Service Visit, Delivery, Installation) map to Pipedrive Activity type values. Original scheduled start and end times, as well as completion timestamps, migrate as custom datetime fields for audit continuity.
Field Squared
Document
Pipedrive
Activity / Note
1:1Field Squared documents attached to work orders or tasks migrate as linked Files or Notes in Pipedrive. Documents associated with specific Persons or Organizations attach to the corresponding Pipedrive record. File size limits in Pipedrive are enforced; large files may be re-hosted or linked by URL.
Field Squared
Custom Field (Person)
Pipedrive
Custom Field (Person)
1:1Field Squared custom fields on contacts create equivalent Pipedrive custom person fields. Field Squared's 30+ field types must be translated to one of Pipedrive's 16 supported types — unsupported types (e.g., signature capture, barcode) become text fields or are preserved as attachments for reference.
Field Squared
Custom Field (Work Order)
Pipedrive
Custom Field (Deal)
1:1Custom fields on Field Squared work orders migrate as Pipedrive custom Deal fields. Pick-list values require value-by-value mapping to Pipedrive pick-list options, ensuring each source value has a corresponding target option. Multi-select fields in Field Squared map to Pipedrive multi-select custom fields if the target plan supports them. We validate each pick-list translation before migration runs.
Field Squared
Workflow / Automation
Pipedrive
Automation
1:1Field Squared workflows and automation rules do not migrate. Each platform's automation engine is independent — triggers, conditions, and actions have no common schema. We export workflow definitions as a reference document so your Pipedrive admin can rebuild them using Pipedrive Automations (available on Advanced+ plans).
Field Squared
Asset
Pipedrive
Organization / Custom Field
many:1Field Squared assets linked to companies can merge into the corresponding Pipedrive Organization record as custom fields (e.g., asset count, asset type, serial number). Each asset attribute becomes a separate custom field on the Organization. Complex asset hierarchies with nested relationships may require a separate asset register maintained outside Pipedrive or a custom integration to preserve the full hierarchy structure.
Field Squared
Integration connection
Pipedrive
Integration (via Zapier/Make)
1:1Field Squared integrations with QuickBooks, Salesforce, Box, and Google Drive do not transfer. Each must be reconnected in Pipedrive separately. Common rebuild paths: QuickBooks via native integration or Zapier, Salesforce via Data Migration Tool, Box/Google Drive via Pipedrive's file integration settings.
| Field Squared | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Work Order | Deal1:1 | Fully supported | |
| Task | Activity1:1 | Fully supported | |
| Document | Activity / Note1:1 | Fully supported | |
| Custom Field (Person) | Custom Field (Person)1:1 | Fully supported | |
| Custom Field (Work Order) | Custom Field (Deal)1:1 | Fully supported | |
| Workflow / Automation | Automation1:1 | Fully supported | |
| Asset | Organization / Custom Fieldmany:1 | Fully supported | |
| Integration connection | Integration (via Zapier/Make)1:1 | 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.
Field Squared gotchas
Automation Rules and Dashboard configurations lack public API access
No dedicated Customers API—contact data extracted from Work Orders
Batch document migration requires array-based payload construction
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
Extract Field Squared data via REST API with batch operations
We authenticate to Field Squared's REST API using scoped read access. The extraction pulls all contacts, companies, work orders, tasks, documents, and custom field definitions in batch array operations — this is the fastest and most complete method. We retrieve the full custom field schema including field types, pick-list options, and required flags. The extraction runs in stages: Organizations first, then Persons (contacts), then Work Orders (deals), then Activities (tasks). Documents are extracted last and linked by ID reference.
Create Pipedrive custom fields matching Field Squared field types
Before writing any data, we create the target custom fields in Pipedrive using the Fields API. Each Field Squared custom field type is translated to the nearest Pipedrive equivalent — unsupported types (signature, barcode, media) are converted to text fields or flagged for file attachment handling. Pick-list fields are created with the correct options in the same order as the source. Pipedrive's hash-key naming convention is captured at this stage so subsequent writes target the correct fields.
Map and transform data with foreign-key resolution
Field Squared data is transformed to match Pipedrive's object model. Person.org_id lookups require Organizations to exist first — we sequence writes accordingly. Work order amounts and stages map to Deal value and stage per pipeline. Owner IDs resolve by email match against Pipedrive users; unmatched owners are flagged for your team to resolve before the full migration. Timestamps are preserved as custom datetime fields because Pipedrive's native created_date is set at import time.
Run sample migration with field-level validation
A representative slice of 50-100 records migrates first — covering at least one of each object type and several custom fields. We generate a field-level diff comparing source values against Pipedrive values so you can verify that custom field mapping, date formats, and pick-list value translations are correct before committing the full dataset. You review and approve the sample before the full run proceeds.
Execute full migration with delta-pickup and audit log
The full migration executes with rate-limit-aware throttling on Pipedrive's API, managing token-based limits through adaptive delays and retry logic. A delta-pickup window runs concurrently, capturing records created or modified in Field Squared during the cutover phase. Every record operation is written to an audit log. After migration completes, we verify record counts and spot-check associations such as person-to-organization links and activity-to-deal links before declaring the migration complete.
Platform deep dives
Field Squared
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 Field Squared 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
Field Squared: Not publicly documented.
Data volume sensitivity
Field Squared exposes a bulk API — large-volume migrations stream efficiently.
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 Field Squared to Pipedrive migration scoping. Not seeing yours? Book a call.
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