Helpdesk migration
Field-level mapping, validation, and rollback between Helpy and Zoho Desk. We move data and schema; workflows are rebuilt natively in Zoho Desk.
Helpy
Source
Zoho Desk
Destination
Compatibility
7 of 12
objects map 1:1 between Helpy and Zoho Desk.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Helpy to Zoho Desk is a schema translation from a CSV-only platform to one with both REST API and structured CSV import. Helpy has no public REST API, so all data exits as CSV exports following their template headers; Zoho Desk receives data via its assisted migration pipeline that expects specific file naming conventions and column headers for Agents, Accounts, Contacts, Tickets, Threads, and Knowledge Base. We resolve that structural gap by formatting all source payloads to match Zoho Desk's expected CSV layout before submission. Ticket Replies in Helpy are a standalone import type linked by parent ticket number, and they require chronological sequencing or they are silently dropped on import. Knowledge Base Docs in Helpy depend on pre-existing Categories; we import Categories first, wait for Zoho Desk to acknowledge the section IDs, then wire each article to its category in a second pass. We do not migrate Helpy automation rules, self-hosted server configuration, or attachment files (Helpy CSV import does not support inline attachments). We deliver a written automation inventory for the customer's admin to rebuild in Zoho Desk.
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 Helpy object lands in Zoho Desk, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Helpy
Customer
Zoho Desk
Contact
1:1Helpy Customer records (name, email, company, locale) export via CSV and map to Zoho Desk Contact. Required Zoho Desk columns are ContactExtId (external ID from Helpy), Last Name (required), First Name (optional), Email (optional). If a Contact with the same email already exists in Zoho Desk, the system maps to the existing record. We extract the original Helpy customer ID as ContactExtId for reconciliation. Companies in Helpy (if present) map to Accounts in Zoho Desk first so that the AccountExtId lookup is satisfied before Contact import.
Helpy
Company
Zoho Desk
Account
1:1Helpy Company records map to Zoho Desk Account via Accounts_XX.csv with required fields AccountExtId and Account Name. Optional fields including Phone, Email, Website, Industry, Street, City, Description, and Annual Revenue migrate where present in the Helpy export. Account is created before any Contact import so that the AccountExtId lookup on Contact resolves at insert time. If the source Helpy instance does not track companies, the customer contacts land as standalone Contacts without Account linkage.
Helpy
Agent/Staff
Zoho Desk
Agent
1:1Helpy agent provisioning is manual via admin settings since agents are not a standalone CSV import type. We create the Zoho Desk Agent accounts via Agents_XX.csv before any ticket migration, using agentExtId, Last Name, First Name, Full Name, and Email. Required fields are agentExtId, Last Name, and Email. Agents are associated with the departments in Zoho Desk where tickets will be imported. We hold any Helpy assignee references that cannot resolve to an email-matched Zoho User in a reconciliation queue.
Helpy
Ticket
Zoho Desk
Ticket
1:1Helpy Tickets export as a standalone CSV type with fields for subject, body, priority, status, assignee, and channel. We map to Zoho Desk's Tickets_XX.csv format with required TicketExtId, Subject, and Description. Status values from Helpy (open, pending, resolved, closed) map to Zoho Desk status equivalents. Priority maps to Zoho Desk priority. Assignee email resolves to the agentExtId in Zoho Desk before the ticket insert pass. Original Helpy ticket number is preserved as TicketExtId.
Helpy
Ticket Reply
Zoho Desk
Thread and Ticket Comment
1:1Helpy Ticket Replies are a separate CSV import type referenced by parent ticket number. We sort all reply records by timestamp before formatting to ensure chronological sequence. Zoho Desk receives Replies as Threads and Ticket Comments via the Threads_XX.csv format. Each reply references the parent ticket by the Helpy ticket number translated to the Zoho Desk TicketExtId. If a reply references a non-existent parent ticket, Zoho Desk silently drops it; we verify parent-ticket existence in the destination before the reply pass begins.
Helpy
Knowledge Base Doc
Zoho Desk
Article
1:manyHelpy KB Articles map to Zoho Desk Articles, but the target section hierarchy must exist first. Zoho Desk organizes articles under Sections and Sub-sections. We import Zoho Desk Sections first, wait for the API to return section IDs, then map each Helpy doc to its section via the Articles_XX.csv format with Title, Body, and Section ID. Article content migrates as HTML or markdown depending on the target Zoho Desk configuration. Meta fields from Helpy migrate to custom article fields or description as applicable.
Helpy
Category
Zoho Desk
Section
1:1Helpy Categories (the top-level KB organizer) map to Zoho Desk Sections. Categories must be imported before any KB Article pass because Docs reference category IDs in their CSV row. We create Sections_XX.csv with Section Name and parent section reference where applicable, preserving the Helpy category hierarchy as a flat or nested section structure in Zoho Desk. The section IDs returned by Zoho Desk after the section import feed the section ID references in the Article pass.
Helpy
Attachment
Zoho Desk
Attachment (flagged)
lossyHelpy's CSV import does not support inline attachments. We flag attachment-heavy tickets during scoping, extract file references from the source CSV export, and upload them to a managed CDN bucket with a reference mapping table. Post-migration, the customer's admin reattaches files to the corresponding Zoho Desk tickets. We do not perform attachment migration as standard scope because neither the Helpy export nor the Zoho Desk CSV import path handles binary file ingestion.
Helpy
Tag
Zoho Desk
Tag or Custom Field
lossyHelpy ticket tags are not always present in the CSV import template depending on the installed version. We audit the target Helpy instance's schema during discovery and include tags in the ticket row if the column is present. In Zoho Desk, tags migrate as a comma-separated tag field or as a custom field depending on the customer's preference expressed during scoping. If Zoho Desk tagging is not used, tags are documented in a post-migration reference file.
Helpy
Custom Field
Zoho Desk
Custom Field
1:1Helpy supports custom metadata on tickets but the CSV schema varies by installation. We audit the target Helpy instance's custom field configuration during discovery and create matching custom fields in Zoho Desk via Setup > Layouts and Fields before any ticket import. Custom field values from Helpy map to the Zoho Desk custom field API names. Fields that cannot be expressed in Zoho Desk's schema are flagged for post-migration manual entry or excluded from scope with documented reason.
Helpy
Workflow / Automation
Zoho Desk
Blueprint / Assignment Rule
lossyHelpy's automation rules (triggers and automations) are not exportable via CSV and have no documented API for bulk migration. We do not migrate automations as code. During discovery we document the existing automation logic including trigger conditions, actions, and delays, and we deliver a written inventory with recommended Blueprint or Assignment Rule equivalents in Zoho Desk. The customer's admin rebuilds these post-migration.
Helpy
User-generated timestamp
Zoho Desk
Created Time / Modified Time
lossyZoho Desk's assisted CSV migration does not migrate created_at timestamps by default. We provide a customization option where timestamps are appended to the ticket description body with author attribution so the original creation date is preserved in the record even without native timestamp migration. Customers can also request a Zoho Desk API-level migration pass for timestamp preservation at additional scope cost.
| Helpy | Zoho Desk | Compatibility | |
|---|---|---|---|
| Customer | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Agent/Staff | Agent1:1 | Fully supported | |
| Ticket | Ticket1:1 | Fully supported | |
| Ticket Reply | Thread and Ticket Comment1:1 | Fully supported | |
| Knowledge Base Doc | Article1:many | Fully supported | |
| Category | Section1:1 | Fully supported | |
| Attachment | Attachment (flagged)lossy | Fully supported | |
| Tag | Tag or Custom Fieldlossy | Fully supported | |
| Custom Field | Custom Field1:1 | Fully supported | |
| Workflow / Automation | Blueprint / Assignment Rulelossy | Fully supported | |
| User-generated timestamp | Created Time / Modified Timelossy | 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.
Helpy gotchas
No REST API for bulk record creation
CSV import is admin-only and schema-sensitive
Knowledge Base Docs and Categories must be sequenced correctly
Ticket Replies imported as a separate type require chronological sequencing
Zoho Desk gotchas
Agent email identity determines comment ownership after migration
Blueprints and SLA policies do not export via API
File upload capped at 10GB per migration batch
Tier-gated export and migration capabilities
Inbound migration is two-phase with a hard Phase 2 cutoff
Pair-specific challenges
Migration approach
Discovery and CSV audit
We audit the source Helpy instance across its CSV import templates, custom field configuration, KB category hierarchy, ticket count, and reply volume. We identify whether Tags are present in the ticket CSV, whether Companies are tracked separately from Customers, and whether any custom metadata is used on tickets. The discovery output is a written migration scope that enumerates each object, the estimated row count, any schema gaps, and a recommendation on whether to use Zoho Desk's assisted migration tool or a direct API-led approach for the customer's data volume.
Schema pre-creation in Zoho Desk
We create the destination structure in Zoho Desk before any data import. This includes provisioning Agents via Agents_XX.csv, creating Departments (if the customer's Zoho Desk plan supports multi-department), creating custom fields in Setup > Layouts and Fields to match Helpy's custom metadata, and configuring the Section hierarchy for Knowledge Base. Custom fields must be live in Zoho Desk before the ticket import pass so that field IDs are available for mapping.
Source CSV extraction and transformation
We extract all data from Helpy via CSV exports in the following order matching Zoho Desk's dependency requirements: (1) Agents/Staff, (2) Companies/Accounts, (3) Customers/Contacts, (4) Categories/Sections, (5) Tickets, (6) KB Articles. We transform each file to match Zoho Desk's expected column headers, rename fields to Zoho Desk equivalents, and resolve assignee email references to agentExtId values in the destination. Ticket Replies are extracted separately, sorted chronologically, and held until after the parent ticket insert is confirmed.
KB Category and Section import
We import the Category hierarchy into Zoho Desk as Sections first. Zoho Desk returns section IDs for each created Section. We use these IDs to build the section mapping table that wires each Helpy KB Doc to its corresponding Zoho Desk Section in the subsequent article pass. If the customer has a deep category nesting, we flatten it to Zoho Desk's Section and Sub-section levels, preserving the hierarchy name path.
Tickets and Ticket Replies import
We import Tickets first using Tickets_XX.csv with resolved assignee references. Once Zoho Desk confirms the ticket IDs, we import the Ticket Replies using Threads_XX.csv, referencing parent tickets by the ticketExtId value that maps to the Zoho Desk ticket record. Replies are sequenced by timestamp before formatting. Any reply with an unresolved parent ticket is held in a reconciliation report for the customer to review before the record is excluded.
Validation, reconciliation, and automation handoff
We run row-count reconciliation across all imported objects against the source CSV totals. We spot-check 25-50 random tickets in Zoho Desk against the Helpy source to verify subject, body, assignee, status, and thread chronology. We deliver a written automation inventory documenting every Helpy trigger and automation with a Zoho Desk Blueprint or Assignment Rule equivalent recommendation. We do not rebuild automations as code. Post-migration, the customer's admin configures Zoho Desk workflows, SLA policies, and escalation rules using the inventory as a rebuild guide.
Platform deep dives
Helpy
Source
Strengths
Weaknesses
Zoho Desk
Destination
Strengths
Weaknesses
Complexity grading
Standard Helpdesk migration. 1 of 7 objects need a manual workaround.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Helpy and Zoho Desk.
Object compatibility
1 of 7 objects need a manual workaround.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
Helpy: Not publicly documented as numeric quotas.
Data volume sensitivity
Helpy 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
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