CRM migration
Field-level mapping, validation, and rollback between Fieldproxy and Zoho CRM. We move data and schema; workflows are rebuilt natively in Zoho CRM.
Fieldproxy
Source
Zoho CRM
Destination
Compatibility
15 of 15
objects map 1:1 between Fieldproxy and Zoho CRM.
Complexity
BStandard
Timeline
2–3 weeks
Overview
Teams migrate from Fieldproxy to Zoho CRM when they need a full CRM ecosystem beyond field service — combined sales, marketing, and customer support in one platform — and want to consolidate their tool stack. The migration carries Fieldproxy Organizations, Contacts, Jobs, Activities, Attachments, and Custom Fields into Zoho CRM's Leads, Accounts, Deals, Tasks, Events, and custom modules. Jobs map directly to Deals with Fieldproxy's status, amount, scheduled start, and actual end dates preserved. Custom fields (service route, technician assignment, GPS coordinates) require Zoho custom fields created before migration. Technician routing rules, customer notification triggers, and inventory replenishment automations do not migrate — we export Fieldproxy workflow definitions as a rebuild reference for your Zoho admin. The migration extracts from Fieldproxy's API or CSV export, transforms field service data into Zoho CRM's structure, and loads via Zoho's Bulk API with API credit management. We sequence Accounts before Contacts before Deals so foreign keys resolve correctly, run a sample migration with field-level diff before full run, and capture a 24–48 hour delta pickup window for in-flight changes at cutover.
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 Zoho CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Fieldproxy
Organization
Zoho CRM
Account
1:1Fieldproxy Organizations map directly to Zoho Accounts. Organization name becomes Account Name. Parent organizations map to the Parent Account lookup. Multi-company associations in Fieldproxy collapse to one primary Account with secondary relationships stored in Account Contact Relations. During migration, we validate that each Organization's primary contact and billing address transfer correctly to the corresponding Account record, ensuring data integrity across the organizational hierarchy.
Fieldproxy
Contact
Zoho CRM
Contact
1:1Fieldproxy Contacts map 1:1 to Zoho Contacts. First name, last name, email, phone, and address fields transfer directly. Owner assignment resolves by email match against Zoho Users list. Any custom contact fields in Fieldproxy require pre-created Zoho custom fields before migration runs. We also verify that contact-to-organization links map correctly to Zoho's Account Name lookup on Contacts.
Fieldproxy
Job
Zoho CRM
Deal
1:1Fieldproxy Jobs map to Zoho Deals — the closest equivalent in Zoho's data model. Job name becomes Deal Name. Job amount maps to Deal Amount. Job status (Pending, In Progress, Completed, Cancelled) maps to Zoho Deal Stage values via value mapping per pipeline. Close date maps to Expected Close Date.
Fieldproxy
Job.scheduled_start
Zoho CRM
Deal custom field Scheduled_Start__c
1:1Zoho Deals do not have a native scheduled start date field. Fieldproxy's scheduled_start migrates to a custom datetime field (Scheduled_Start__c) created in the Deal module before migration runs. We preserve the original timezone information in the field value and validate that date formats align with Zoho's datetime requirements. This ensures your scheduling data remains accurate and actionable within Zoho's interface.
Fieldproxy
Job.actual_end
Zoho CRM
Deal custom field Actual_End__c
1:1Fieldproxy's actual_end timestamp marking job completion has no Zoho native equivalent. We create Actual_End__c as a custom datetime field on Deals during schema setup. This preserves historical job completion data for reporting continuity. The field stores the full timestamp with original timezone data, enabling accurate reporting on job duration, technician performance, and service level metrics post-migration.
Fieldproxy
Job.service_route
Zoho CRM
Deal custom field Service_Route__c
1:1Fieldproxy service route data (route name, waypoints, optimization data) stores as text in Service_Route__c. If service routes are tracked as structured records in Fieldproxy, we assess whether to create a custom Service Routes module with a lookup from Deal, or store as formatted text for reference.
Fieldproxy
Job.technician_assignment
Zoho CRM
Deal custom field Technician__c
1:1Zoho CRM has no native technician assignment field on Deals. We create a custom text or multi-user field (depending on whether Fieldproxy allows multiple technicians per job) and store the assigned technician name and ID. Owner of the Deal also gets resolved by email match for Zoho native assignment.
Fieldproxy
Task
Zoho CRM
Task
1:1Fieldproxy Tasks map to Zoho Tasks. Subject, description, due date, and status transfer directly. Linked record ID (job ID, contact ID) stores as a custom reference field in Zoho for traceability. Owner resolves by email match. Task status values map to Zoho Task status (Not Started, In Progress, Completed).
Fieldproxy
Event
Zoho CRM
Event
1:1Fieldproxy Events map to Zoho Events. Subject, start datetime, end datetime, and location transfer directly. Event type (scheduled visit, follow-up) stores in a custom field if the values don't match Zoho's event types. Contact and Deal associations use Zoho's WhoId and WhatId lookups.
Fieldproxy
Call
Zoho CRM
Call
1:1Fieldproxy Call records map to Zoho Calls with subject, duration, outcome, and notes transferring directly. Call direction (inbound/outbound) maps to Zoho's Call Direction field. Owner assignment resolves by email match against Zoho Users. Linked record ID (referencing the original Job or Contact) stores as a custom reference field for traceability. This preserves the full call history and relationship context within Zoho CRM.
Fieldproxy
Note
Zoho CRM
Note
1:1Fieldproxy Notes map to Zoho Notes. Note title, body content, and created datetime transfer directly. Rich text formatting in Fieldproxy notes is preserved in Zoho Notes. Notes linked to Jobs store the Job ID in a custom field for cross-referencing.
Fieldproxy
Attachment
Zoho CRM
File (Attachments module)
1:1Fieldproxy file attachments (job photos, signed forms, invoices) require re-upload to Zoho via the Attachments API. We store the original Fieldproxy file URL as a reference field on the Zoho record so teams can locate the source file during the transition period. File metadata (filename, size, type) is preserved.
Fieldproxy
User / Technician
Zoho CRM
User
1:1Fieldproxy Users and Technicians map to Zoho Users. Owner resolution happens by email match — if a Fieldproxy user email matches an existing Zoho user email, ownership transfers automatically. Unmatched users get flagged before migration and assigned to a fallback owner or invited to Zoho first.
Fieldproxy
Custom Field (any module)
Zoho CRM
Custom Field
1:1Fieldproxy custom fields across all modules require Zoho custom fields created before migration. Multi-select fields in Fieldproxy need special handling — Zoho multi-select picklists store comma-separated values. Lookup fields that reference other Fieldproxy records store the external ID as a text reference field.
Fieldproxy
Workflow / Automation
Zoho CRM
Workflow Rule / Blueprint
1:1Fieldproxy technician routing rules, customer notification triggers, and inventory replenishment automations do not have Zoho native equivalents. These must be rebuilt as Zoho Workflow Rules, Blueprint stages, or Deluge scripts post-migration. We export the Fieldproxy workflow definitions as a structured reference document.
| Fieldproxy | Zoho CRM | Compatibility | |
|---|---|---|---|
| Organization | Account1:1 | Fully supported | |
| Contact | Contact1:1 | Fully supported | |
| Job | Deal1:1 | Fully supported | |
| Job.scheduled_start | Deal custom field Scheduled_Start__c1:1 | Fully supported | |
| Job.actual_end | Deal custom field Actual_End__c1:1 | Fully supported | |
| Job.service_route | Deal custom field Service_Route__c1:1 | Fully supported | |
| Job.technician_assignment | Deal custom field Technician__c1:1 | Fully supported | |
| Task | Task1:1 | Fully supported | |
| Event | Event1:1 | Fully supported | |
| Call | Call1:1 | Fully supported | |
| Note | Note1:1 | Fully supported | |
| Attachment | File (Attachments module)1:1 | Fully supported | |
| User / Technician | User1:1 | Fully supported | |
| Custom Field (any module) | Custom Field1:1 | Fully supported | |
| Workflow / Automation | Workflow Rule / Blueprint1:1 | 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
Zoho CRM gotchas
API access requires Professional tier or above
Subform fields do not export cleanly via CSV
API credit consumption is non-linear
Export download links expire in 7 days
Owner (User) assignments require pre-mapped user IDs
Pair-specific challenges
Migration approach
Audit Fieldproxy data model and map to Zoho CRM schema
FlitStack AI catalogs all Fieldproxy objects, custom fields, pick-list values, and active integrations. We identify every custom field on Jobs (service route, technician assignment, GPS data, parts consumed) and every integration (QuickBooks, Stripe, calendar sync, WhatsApp). The audit output is a Zoho schema plan: which custom fields to create, which modules to activate, and which pick-list values to pre-populate in Zoho before data lands. This step also scores data quality — duplicate organizations, orphaned contacts, and blank required fields get flagged for cleanup before migration runs.
Set up Zoho CRM schema for field service data
Before any data moves, FlitStack AI creates the Zoho custom fields identified in the audit: Technician__c (text or multi-user), Service_Route__c (text), Scheduled_Start__c (datetime), Actual_End__c (datetime), Customer_Signature_URL__c (url), Source_System_ID__c (text) on Deals. We also pre-populate Zoho pick-lists with Fieldproxy status values so stage mapping is ready. Workflow Rules and Blueprint stages for deal processing are documented for the post-migration rebuild. This step requires Zoho admin credentials with field creation permissions.
Extract and transform Fieldproxy data into Zoho CRM format
FlitStack AI pulls Organizations, Contacts, Jobs, Tasks, Events, Calls, Notes, Attachments, and Custom Fields from Fieldproxy via API or CSV export. Jobs transform to Deals with stage value mapping per pipeline. Custom fields (service route, technician assignment) write to the pre-created Zoho custom fields. Owner assignment resolves by email match against Zoho Users — unmatched owners get flagged for fallback assignment. Activity records (Tasks, Events, Calls) retain original created timestamps, owners, and linked record references stored as custom source ID fields.
Run sample migration and validate field-level mapping
A representative slice of 100–500 records migrates to Zoho first — spanning Organizations, Contacts, Jobs across multiple pipelines, and a sample of activities. FlitStack AI generates a field-level diff report comparing source values against destination field values. You verify that technician assignments landed in Technician__c, scheduled dates in Scheduled_Start__c, job status in Stage with correct value mapping, and activity ownership resolved correctly. Sample migration must pass validation before the full run commits. Any missed custom fields get created and the sample re-runs.
Execute full migration with delta pickup and audit log
Full migration runs against Zoho CRM with scoped read access on Fieldproxy. FlitStack AI sequences the load: Accounts first, then Contacts (resolving Account lookups), then Deals (resolving Contact and Account lookups), then Activities last. A 24–48 hour delta pickup window captures any Jobs, Contacts, or Activities created or modified during the cutover. Every operation logs to an audit trail. One-click rollback reverts the Zoho target to pre-migration state if reconciliation finds critical discrepancies. After rollback window closes, Fieldproxy is demoted to read-only reference access.
Platform deep dives
Fieldproxy
Source
Strengths
Weaknesses
Zoho CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Fieldproxy and Zoho CRM.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Fieldproxy and Zoho CRM.
Object compatibility
All 8 core objects map 1:1 between Fieldproxy and Zoho CRM.
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
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