CRM migration
Field-level mapping, validation, and rollback between Fieldproxy and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Fieldproxy
Source
Pipedrive
Destination
Compatibility
12 of 12
objects map 1:1 between Fieldproxy and Pipedrive.
Complexity
BStandard
Timeline
48–72 hours
Overview
Fieldproxy and Pipedrive serve different operational models: Fieldproxy is built around field-service jobs, technician scheduling, and mobile-first task execution, while Pipedrive centers on sales pipelines, deal stages, and activity tracking. The migration challenge is translating Fieldproxy's job records, work-order line items, and technician assignments into Pipedrive's deal model without losing the service-context that drives your operations. We map Fieldproxy contacts to Pipedrive People, companies to Organizations, and active job records to Deals with stage values derived from job status. Technician assignments map to Pipedrive user ownership by email match. Open activities, notes, and attachment URLs migrate to Pipedrive's activity and file stores. Custom Fieldproxy workflows and automation rules do not have a Pipedrive equivalent and must be rebuilt manually or exported as reference documentation. Our migration engine uses Fieldproxy's REST API for structured record extraction and Pipedrive's bulk API for high-volume import, with a delta-pickup window capturing any jobs created or modified during the cutover window.
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 Fieldproxy 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.
Fieldproxy
Contact
Pipedrive
Person
1:1Fieldproxy contacts map directly to Pipedrive People using a one-to-one field correspondence. Core contact fields including email address, phone number, and physical address migrate as-is without transformation. The primary company association from Fieldproxy becomes the Organization link in Pipedrive's Person record, establishing the relationship between contacts and their employer. If a contact record in Fieldproxy has no associated company, it imports as an unlinked Person record in Pipedrive without organizational affiliation.
Fieldproxy
Company
Pipedrive
Organization
1:1Fieldproxy companies map to Pipedrive Organizations through a direct field-to-field translation. The company name, domain/website, industry classification, employee count estimate, and address components (street, city, state, zip, country) migrate as standard Organization fields in Pipedrive. Parent-child hierarchical relationships between companies in Fieldproxy are preserved by mapping them to Pipedrive's Owner's organization link or the organization hierarchy feature if that structure exists in your Pipedrive account.
Fieldproxy
Job
Pipedrive
Deal
1:1Fieldproxy job records are the core transformation object. Job title becomes Deal name. Job status (scheduled, in-progress, completed, cancelled) maps to Pipedrive Deal stage via a configurable status-to-stage mapping table. Job value or quoted amount maps to Deal value if present.
Fieldproxy
Job Line Item
Pipedrive
Deal Product
1:1Fieldproxy job line items (parts, labor) migrate to Pipedrive Deal Products. Each line item becomes a product entry on the Deal. Pricing, quantity, and description carry over. Products must exist in Pipedrive's product catalog first or get created during migration.
Fieldproxy
Technician
Pipedrive
User
1:1Fieldproxy technician records map to Pipedrive Users through email address resolution as the primary matching key. Active technicians who are currently working in Fieldproxy become active Users in Pipedrive with full platform access. Inactive or archived technicians from Fieldproxy become Pipedrive Users with inactive status, preserving the historical assignment context for reporting purposes without consuming a paid Pipedrive seat if your admin chooses that configuration.
Fieldproxy
Job Assignment
Pipedrive
Deal Owner
1:1The technician assigned to a Fieldproxy job becomes the Owner of the corresponding Pipedrive Deal after migration. Owner resolution relies on email address matching against the existing Pipedrive Users list. Technicians from Fieldproxy whose email addresses do not match any Pipedrive User are flagged in the pre-migration audit and assigned to a configurable fallback owner before the migration run commits to prevent orphaned deals.
Fieldproxy
Activity (Call, Meeting, Task)
Pipedrive
Activity
1:1Fieldproxy's activity log entries including call logs, site visit notes, status updates, and internal communications migrate to Pipedrive Activities as a direct record transfer. The activity type in Fieldproxy determines the Pipedrive activity kind (call, meeting, or task). Original creation timestamps and the activity owner's user ID are preserved and populated into Pipedrive's activity record fields during import.
Fieldproxy
Note
Pipedrive
Note
1:1Fieldproxy notes attached to jobs, contacts, or companies migrate to Pipedrive Notes with preservation of the attachment relationship. Notes are associated with the corresponding Person, Organization, or Deal record in Pipedrive based on the parent object reference in Fieldproxy. Rich-text formatting exported as HTML from Fieldproxy is preserved in Pipedrive's HTML note format; plain-text fallback applies automatically for notes that contain no formatting markup.
Fieldproxy
Attachment
Pipedrive
File
1:1Fieldproxy file attachments including job photos, customer signatures, and invoice PDFs that have accessible URLs are downloaded from Fieldproxy's storage and re-uploaded to Pipedrive Files, then programmatically linked to the parent Deal, Person, or Organization record. Files exceeding Pipedrive's 25MB per-file limit are identified in the pre-migration audit and flagged for manual re-upload or Google Drive integration linking after the migration completes.
Fieldproxy
Custom Field (Job)
Pipedrive
Custom Field (Deal)
1:1Fieldproxy custom fields defined on job records, such as service_type, site_location, and equipment_id, require pre-creation as Pipedrive custom deal fields before migration execution. FlitStack analyzes Fieldproxy's custom field definitions including data types and pick-list values, then generates a Pipedrive field creation script that your admin runs to provision the corresponding fields using Pipedrive's REST API or manual field editor.
Fieldproxy
Custom Field (Contact)
Pipedrive
Custom Field (Person)
1:1Fieldproxy custom contact fields such as preferred_service_area and contract_type migrate to Pipedrive custom person fields. The mapping handles field type equivalence: pick-list fields become Pipedrive pick-list fields, text fields become text fields, number fields become number fields, and date fields become date fields. Multi-select fields from Fieldproxy that allow multiple chosen values map to Pipedrive's multi-option field type to preserve all selected values.
Fieldproxy
Workflow
Pipedrive
Not Migrated
1:1Fieldproxy AI-powered workflows including dispatch rules, scheduling automations, parts replenishment triggers, and customer notification workflows have no direct equivalent in Pipedrive's feature set. These automation definitions must be rebuilt using Pipedrive's Automation builder or exported as JSON definitions for a Pipedrive-certified implementation partner to recreate. FlitStack exports all workflow definitions as JSON reference documentation included in the pre-migration deliverable package.
| Fieldproxy | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Job | Deal1:1 | Fully supported | |
| Job Line Item | Deal Product1:1 | Fully supported | |
| Technician | User1:1 | Fully supported | |
| Job Assignment | Deal Owner1:1 | Fully supported | |
| Activity (Call, Meeting, Task) | Activity1:1 | Fully supported | |
| Note | Note1:1 | Fully supported | |
| Attachment | File1:1 | Fully supported | |
| Custom Field (Job) | Custom Field (Deal)1:1 | Fully supported | |
| Custom Field (Contact) | Custom Field (Person)1:1 | Fully supported | |
| Workflow | Not Migrated1:1 | 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.
Fieldproxy gotchas
Custom Workflows do not export as portable definitions
API rate limits and bulk endpoints not publicly documented
Spare Parts inventory requires quantity reconciliation
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
Audit Fieldproxy data and Pipedrive schema setup
FlitStack pulls a full export from Fieldproxy via its REST API: contacts, companies, jobs, job line items, activities, notes, and attachments. We profile the data for duplicates, missing required fields, and orphaned records (jobs with no customer). Simultaneously, your Pipedrive admin creates the custom deal and person fields that correspond to Fieldproxy custom fields. We generate the exact field creation script so nothing is missed. This step produces a data quality report and a Pipedrive pre-setup checklist before any migration run executes.
Design job-to-deal stage mapping and owner resolution plan
We work with your team to define the Pipedrive pipeline and stages that correspond to your Fieldproxy job statuses. If you have multiple job types (installation, repair, warranty), we design separate pipelines or use deal categories for routing. We also resolve the technician-to-user mapping by email, flagging any technicians not yet invited to Pipedrive. The mapping plan covers deal title format, value sourcing, and expected close date logic. This plan is a shared document your team approves before field-level migration begins.
Run sample migration with field-level diff
A representative sample — typically 100–500 records covering contacts, organizations, jobs, and activities — migrates into your live Pipedrive account. We generate a field-level diff report showing source values against destination values for every mapped field. You review the diff to confirm that job status mapping, custom field population, owner resolution, and activity attachment links meet expectations. We correct any mismatches before the full migration run commits. Sample migration results also validate that Pipedrive's 40-character custom field hash keys were set up correctly.
Execute full migration with delta-pickup window
All records migrate in dependency order: Organizations first (since People link to them), then People, then Deals with product entries, then Activities and Notes. Attachment URLs are downloaded and re-uploaded to Pipedrive Files. During the cutover window (typically 24–48 hours), any new jobs created or modified in Fieldproxy are captured by a delta-pickup run and appended to Pipedrive before the go-live signal. FlitStack logs every record operation in an audit log. If reconciliation shows gaps, one-click rollback reverts the Pipedrive state to pre-migration and the run can be re-executed after fixes.
Export workflow definitions and deliver post-migration package
After the migration completes, FlitStack delivers the complete post-migration package: workflow JSON exports from Fieldproxy for your Pipedrive admin to reference during rebuild, a field-mapping summary document, an unmatched-technician resolution list, a large-attachment flagging report for manual re-upload, and a delta-capture summary showing what changed during the cutover window. We schedule a 30-day post-migration support window to address any data discrepancies discovered after go-live.
Platform deep dives
Fieldproxy
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 Fieldproxy 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
Fieldproxy: Not publicly documented.
Data volume sensitivity
Fieldproxy 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 Fieldproxy to Pipedrive migration scoping. Not seeing yours? Book a call.
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