CRM migration

Migrate from Fieldy to Zoho CRM

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

Fieldy logo

Fieldy

Source

Zoho CRM

Destination

Zoho CRM logo

Compatibility

91%

10 of 11

objects map 1:1 between Fieldy and Zoho CRM.

Complexity

BStandard

Timeline

2–4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Fieldy is a field service management platform built around job records, technician scheduling, customer management, and invoice generation for service businesses. Zoho CRM is a broader sales and customer relationship platform organized around Leads, Contacts, Accounts, Deals, and pipeline stages. The migration from Fieldy to Zoho CRM is a data-model translation problem: Fieldy's job records map to Zoho Deals (or Cases), customers map to Contacts, companies map to Accounts, invoices map to Zoho's Invoice module, and Fieldy's staff roster maps to Zoho Users. The core challenge is that Fieldy's scheduling-centric job model — with technician assignments, service types, and job statuses — does not have a native equivalent in Zoho's deal-pipeline architecture. Zoho's Blueprint process automation and workflow rules do not migrate from Fieldy's custom automation engine; they must be rebuilt in Zoho's Deluge-based workflow builder. FlitStack AI uses Zoho's REST API v8 and bulk data endpoints to extract Fieldy records, transform them according to the field-level mapping, and load them into the correct Zoho modules in dependency order — Accounts first, then Contacts, then Deals with line items and attachments — with a delta pickup window capturing any records modified during cutover.

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

Fieldy logo

Fieldy

What's pushing teams away

  • Lack of API documentation or public bulk export endpoint makes data portability a manual, error-prone process that frustrates teams with large historical records.
  • Limited third-party integration ecosystem compared to established FSM platforms, creating friction for businesses relying on accounting or ERP connections.
  • The white-label offering referenced in reviews suggests feature limitations that become apparent as businesses scale beyond basic field service needs.

Choosing

Zoho CRM logo

Zoho CRM

What's pulling them in

  • Free tier is genuinely usable for up to 3 users with leads, pipeline management, and email tracking — no credit card required, making it easy to evaluate before committing.
  • Pricing undercuts Salesforce by 80–90% at equivalent feature tiers, with Enterprise plans offering capabilities that cost 3–4× more on competing platforms.
  • Deep ecosystem of 45+ integrated apps (Books, Desk, Creator, Campaigns) means companies already in the Zoho suite get native integrations without third-party connectors.
  • Highly customizable: custom modules, custom fields, Canvas drag-and-drop layouts, and Blueprint workflow automation without requiring developer resources.
  • Small-business reviewers highlight real-time team visibility, daily time savings of 60–90 minutes, and the ability to mold the CRM to any industry vertical.

Object mapping

How Fieldy objects map to Zoho CRM

Each row shows how a Fieldy 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.

Fieldy

Customer

maps to

Zoho CRM

Contact

1:1
Fully supported

Fieldy customers migrate to Zoho Contacts. Each customer record carries name, email, phone, address, and custom properties. Primary company association in Fieldy maps to Contact.Account lookup in Zoho. Customer type or tags become custom pick-list fields in Zoho. During migration, we validate that email addresses are unique to prevent duplicate contact records in Zoho.

Fieldy

Company

maps to

Zoho CRM

Account

1:1
Fully supported

Fieldy company records map 1:1 to Zoho Accounts. Company name becomes Account Name. Website, industry, employee count, and annual revenue map to matching Zoho standard fields. Parent-company hierarchy in Fieldy maps to Account.Parent_Account lookup in Zoho. If a parent company is missing, we create a placeholder Account and flag it for your team to resolve after migration.

Fieldy

Job

maps to

Zoho CRM

Deal

1:1
Fully supported

Fieldy job records are the primary translation challenge. The job name maps to Deal Name, job amount maps to Deal Amount, and Fieldy job status (e.g., Scheduled, In Progress, Completed) maps to Zoho Deal Stage values via value mapping. Fieldy job priority migrates as a custom pick-list field on the Zoho Deal. Site address and service type are preserved as custom fields on the Deal record.

Fieldy

Job Assignment

maps to

Zoho CRM

Deal.Owner (User lookup)

1:1
Fully supported

Fieldy technician assigned to a job resolves by email match to a Zoho User record. The matched User becomes the Deal Owner in Zoho CRM. Unmatched technicians are flagged before migration; your team assigns them to Zoho users first. This ensures every Deal has a responsible owner and adheres to Zoho's sharing rules for record visibility across your organization.

Fieldy

Job Line Items / Products Used

maps to

Zoho CRM

Deal Line Items + Products

many:1
Fully supported

Fieldy job line items (parts, labor, materials) migrate as Zoho Deal Line Items linked to the Deal. Product records in Fieldy map to Zoho Products with SKU, unit price, and description. If Fieldy products have no SKU, Zoho product records are created with a generated identifier.

Fieldy

Invoice

maps to

Zoho CRM

Invoice

1:1
Fully supported

Fieldy invoices migrate to Zoho Invoices when the Professional tier or higher is active. Invoice number, date, due date, line items, tax, and payment status map directly. If the Zoho plan does not include the Invoice module, invoices migrate as custom fields on the Deal with the invoice data preserved for reference.

Fieldy

Staff / Technician

maps to

Zoho CRM

User

1:1
Fully supported

Fieldy staff and technician records map to Zoho Users. First name, last name, email, phone, and role title map to matching Zoho User fields. Active/inactive status in Fieldy controls the Zoho User active flag. Admin and technician roles in Fieldy require manual review against Zoho role and profile assignments.

Fieldy

Attachment / Signature

maps to

Zoho CRM

Deal Attachment

1:1
Fully supported

Fieldy job attachments — including customer signatures, photos, and job documents — re-upload as Zoho Attachments linked to the corresponding Deal record. Zoho supports up to 25MB per file via its Files module. Inline images in job notes are downloaded and rehosted in Zoho's Documents.

Fieldy

Custom Fieldy Property (Contact)

maps to

Zoho CRM

Contact Custom Field

1:1
Fully supported

Any Fieldy custom property on a customer record that has no Zoho standard field equivalent requires a Zoho custom field created before migration. We deliver a custom field creation plan specifying field label, API name, data type, and pick-list values where applicable.

Fieldy

Custom Fieldy Property (Job)

maps to

Zoho CRM

Deal Custom Field

1:1
Fully supported

Fieldy job-specific custom properties (e.g., service type categories, warranty codes, site-specific notes) map to Zoho Deal custom fields. Multi-select values in Fieldy custom properties may require custom multi-select fields in Zoho, which are supported up to the 300-field module limit.

Fieldy

Job Notes / Activity Log

maps to

Zoho CRM

Deal Notes + Tasks

1:1
Fully supported

Fieldy job activity logs and internal notes migrate as Zoho Notes attached to the Deal. Timestamps and the technician who added the note are preserved. If Fieldy logs specific action types (e.g., site visit, Parts ordered), those can map to Zoho Tasks with Type field for reporting clarity.

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.

Fieldy logo

Fieldy gotchas

High

No documented public API or bulk export endpoint

Medium

Custom workflow automations do not export as portable rules

Low

Pricing tiers and per-user limits not publicly confirmed

Zoho CRM logo

Zoho CRM gotchas

High

API access requires Professional tier or above

High

Subform fields do not export cleanly via CSV

Medium

API credit consumption is non-linear

Medium

Export download links expire in 7 days

Medium

Owner (User) assignments require pre-mapped user IDs

Pair-specific challenges

  • Workflows and automations do not migrate between platforms

    Fieldy automations — such as job-status-change triggers, technician notification rules, or job-creation-from-customer workflows — are built within Fieldy's custom automation engine and have no direct equivalent in Zoho. Zoho Blueprint uses stage-gated processes with Deluge scripting that requires destination-side configuration. We export Fieldy workflow definitions as a rebuild reference document for your Zoho admin or consultant before the migration runs, so the logic can be reconstructed in Zoho's workflow builder.

  • Zoho caps custom fields at 300 per module and 5 lookup fields

    Fieldy setups with extensive custom properties on job records can exceed Zoho's per-module field limit. Each custom property on a Fieldy customer or job becomes a Zoho custom field. Teams with 200+ custom properties on jobs need to audit which fields are actively used and archive deprecated ones before migration, or consider splitting data across Zoho custom modules. We surface this in the pre-migration audit so the schema can be cleaned before data lands.

  • Job scheduling model does not map to Zoho deal pipeline architecture

    Fieldy models a job as a flat record with status, priority, technician, and date fields. Zoho CRM uses a deal pipeline with stages and Blueprint step gating. A Fieldy job status of 'In Progress' does not automatically route to a Zoho deal stage — the Zoho pipeline stages must be designed in advance to match Fieldy's job lifecycle. We deliver a pipeline design recommendation based on your Fieldy job statuses before migration so the stage mapping is ready for data load.

  • Attachment size limits and signature handling in Zoho CRM

    Fieldy job photos and customer signatures attached to job records must re-upload to Zoho CRM as Deal Attachments. Zoho CRM supports files up to 25MB per attachment via its Files module. Very large photo sets from field jobs may need to be archived or linked to Zoho Documents rather than stored inline. Customer signatures in Fieldy are stored as image files and migrate as Zoho Deal attachments with a custom field flag marking the attachment type.

  • API credit consumption during bulk migration affects Zoho daily limits

    Zoho CRM uses a daily API credit budget tied to the edition tier — Professional tier allows 2,500 requests per minute and Enterprise tier allows 10,000 requests per minute. Bulk migration of high record counts can consume credits quickly, especially when using COQL queries that deduct 1–3 credits per call. FlitStack AI throttles API calls per Zoho's rate limit headers (X-RateLimit-Limit, X-RateLimit-Remaining) and batches inserts to stay within daily credit windows, which extends migration time for large datasets.

Migration approach

Six steps for a successful Fieldy to Zoho CRM data migration

  1. Audit Fieldy data model and design Zoho schema

    FlitStack AI exports a full snapshot of your Fieldy data — customers, companies, jobs, invoices, staff, and all custom properties — and audits it for duplicates, missing required fields, and relationship completeness. We deliver a Zoho schema setup plan specifying which Zoho modules to activate, which custom fields and pick-list values to create, and how to structure the deal pipeline stages to match your Fieldy job statuses.

  2. Resolve Fieldy staff to Zoho Users by email

    Fieldy technician and staff records are matched to Zoho User accounts by email address. This matching process ensures that each technician in Fieldy corresponds to an active Zoho User who can own migrated Deals. Any Fieldy staff member without a corresponding Zoho User is flagged before migration begins, and your team either creates Zoho User accounts for those staff members or designates a fallback Zoho User to own those migrated records.

  3. Import Accounts before Contacts before Deals

    Zoho enforces referential integrity, meaning Accounts must exist before Contacts can link via Account_Name lookup, and Deals must link to Contacts via Contacts lookup. We sequence the migration so Accounts import first, then Contacts, then Deals with line items and attachments following. This strict ordering ensures every lookup relationship resolves correctly during data load, preventing orphaned records and maintaining data integrity across the Zoho CRM schema.

  4. Run a sample migration with field-level validation

    A representative slice — typically 100–300 records spanning customers, companies, jobs, and invoices — migrates to a Zoho sandbox first. We generate a field-level diff showing source field values against destination field values so you can verify job status mapping to deal stages, technician mapping to deal owners, and custom property placement before the full dataset commits. This validation step catches mapping errors early and allows your team to approve the field mapping before we proceed with the full migration.

  5. Execute full migration with delta pickup window

    The full dataset loads into Zoho CRM using Zoho's Bulk API v8 and REST API endpoints, with API calls throttled per your edition's credit limits. A 24–48 hour delta pickup window after the main load captures any Fieldy records modified during cutover. All operations are logged in FlitStack's audit trail, and one-click rollback is available if reconciliation against the Fieldy source reveals record discrepancies.

Platform deep dives

Context on both ends of the pair

Fieldy logo

Fieldy

Source

Strengths

  • Per-user pricing model that is budget-friendly for growing field service businesses, according to Fieldy's own positioning.
  • Real-time live location tracking for field technicians with scheduling and dispatch automation built in.
  • All-in-one quote-to-payment workflow consolidates what many SMBs manage across multiple disconnected tools.
  • Mobile and web access for field reps with instant onboarding and no mandatory credit card to start a trial.
  • Customizable workflows, checklists, forms, and notifications for 25+ industry verticals.

Weaknesses

  • No publicly documented API or bulk export endpoint, making data portability a manual process.
  • Limited integration ecosystem compared to larger FSM competitors like ServiceTitan or Jobber.
  • Feature set oriented toward small-to-mid businesses; white-label limitations become apparent at scale.
  • No third-party review presence beyond a single G2 review and a 3.3-star Capterra rating, suggesting limited enterprise adoption or market penetration.
Zoho CRM logo

Zoho CRM

Destination

Strengths

  • Generous free tier (3 users) with real CRM functionality — no artificial feature restrictions that prevent valid use cases.
  • Per-seat pricing is transparent and predictable; no contact-based billing surprises that inflate monthly invoices.
  • Blueprint visual workflow builder lets sales ops teams automate stage progressions without developer involvement.
  • Canvas drag-and-drop layout editor lets non-technical users customize module views and forms per role.
  • Active development cadence: API v8 is well-documented, supports bulk endpoints, and COQL queries handle complex filtering.

Weaknesses

  • Poor support quality and inconsistent SLA — Enterprise tier requires 50+ user minimum for Priority Phone support.
  • Daily export limits in the UI vary by plan tier, making large dataset extraction slow and planning-dependent.
  • Zia AI features are gated behind $40+/user Enterprise tier, not available to most SMB customers who chose Zoho for cost savings.
  • User-reported occasional UI inconsistencies and performance slowdowns on large datasets with many custom fields.
  • No EU-hosted option limits appeal for GDPR-sensitive companies; some competitors offer data residency guarantees Zoho does not.

Complexity grading

How hard is this migration?

Standard CRM migration. 1 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 Fieldy and Zoho CRM.

  • Object compatibility

    B

    1 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

    Fieldy: Not publicly documented..

  • Data volume sensitivity

    B

    Fieldy doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Fieldy to Zoho CRM 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 Fieldy to Zoho CRM data migrations

Answers to the questions buyers ask most during Fieldy to Zoho CRM migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Book a free 30 minute consultation

Most Fieldy-to-Zoho CRM migrations complete in 2–4 weeks of clock time for under 25,000 total records with clean data. Complex setups involving extensive custom properties, sub-form relationships, or multi-module invoice and product data extend to 4–6 weeks. The longest phase is typically the Zoho pipeline design and custom field creation, not the data load itself, because designing the pipeline stages and creating custom fields requires stakeholder review and testing before data lands.

Adjacent paths

Related migrations to explore

Ready when you are

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