Helpdesk migration

Migrate from Helpy to Gorgias

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

Helpy logo

Helpy

Source

Gorgias

Destination

Gorgias logo

Compatibility

58%

7 of 12

objects map 1:1 between Helpy and Gorgias.

Complexity

BStandard

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Helpy to Gorgias is a platform-class migration: Helpy relies entirely on CSV import with no REST API for bulk record creation, while Gorgias exposes a documented REST API with per-resource endpoints for Customers, Tickets, Messages, Tags, Macros, and Help Center articles. We bridge that gap by extracting data from Helpy's CSV export layer, validating and sequencing the payloads, then writing them into Gorgias via the appropriate API endpoints with rate-limit handling and batch chunking. Ticket replies require chronological sequencing against the parent ticket number to preserve conversation integrity. Knowledge Base Docs must follow the category-first pass because Gorgias requires category IDs before articles can be assigned. We do not migrate Helpy automations or workflow rules; we deliver a written inventory of the existing logic for the customer's admin to rebuild in Gorgias using Rules and Macros.

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

Helpy logo

Helpy

What's pushing teams away

  • The platform lacks a mature REST API, making real-time integrations and automated data pipelines difficult to implement.
  • As ticket volume grows, the flat data model and limited reporting require workarounds to get the analytics teams need.
  • Feature development has slowed in recent cycles, leaving teams waiting for improvements in areas like mobile apps and SLA tooling.
  • Self-hosting is appealing but the operational overhead of maintaining the infrastructure falls on the internal team.
  • Limited third-party integrations compared to established platforms like Zendesk or Freshdesk means teams eventually consolidate onto a more connected stack.

Choosing

Gorgias logo

Gorgias

What's pulling them in

  • Shopify-native integrations pull order details, shipment status, and return data directly into the ticket view, eliminating the need for agents to switch between apps.
  • Unlimited user seats mean growing support teams do not trigger billing changes; pricing scales only on billable ticket volume.
  • AI Agent automates responses to high-volume queries like order status and returns, measurably reducing the number of billable tickets each month.
  • Omnichannel inbox consolidates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.
  • SOC 2 Type II certification and GDPR-aligned data handling satisfy enterprise procurement requirements for customer support platforms.

Object mapping

How Helpy objects map to Gorgias

Each row shows how a Helpy object lands in Gorgias, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Helpy

Customer

maps to

Gorgias

Customer

1:1
Fully supported

Helpy customers export via CSV with name, email, company, and locale fields. We transform these to Gorgias Customer API payloads, using email as the dedupe key. Any Helpy customer properties that do not map to a standard Gorgias Customer field become custom field values via the customer-fields endpoint. Active customer status in Helpy maps to active=true in Gorgias.

Helpy

Ticket

maps to

Gorgias

Ticket

1:1
Fully supported

Helpy tickets export with subject, body, priority, status, assignee reference, and channel. We map Helpy status values (new, open, pending, resolved, closed) to Gorgias Ticket status (open, pending, resolved, spam, or closed). Priority mapping preserves high/medium/low ordering. Assignee references resolve against the User mapping created in the agents pass. Channel information maps to the Gorgias channel field (email, chat, facebook, instagram, twitter, or other).

Helpy

Ticket Reply

maps to

Gorgias

Message

1:1
Fully supported

Helpy Ticket Replies are a standalone import type linked to parent ticket number. We sort all reply records chronologically by timestamp before writing to Gorgias via the Messages API endpoint. Each message is attached to its parent ticket by ticket ID and assigned a sender type (agent or customer) based on the Helpy reply author type. If replies arrive out of order or reference a non-existent parent ticket in the destination, we flag and hold them for reconciliation rather than silently dropping them.

Helpy

Knowledge Base Doc

maps to

Gorgias

Help Center Article

1:1
Fully supported

Helpy KB articles export with title, body, meta, and category assignment. We transform article content to Gorgias's Help Center article format and map the Helpy category ID to the corresponding Gorgias category ID computed during the categories pass. Articles without a resolvable category are held in an unassigned state for admin review post-migration. Content formatting (markdown or HTML) is normalized to match the target instance's configured Help Center format.

Helpy

Category

maps to

Gorgias

Help Center Category

1:1
Fully supported

Helpy categories export as a discrete type that organizes the Knowledge Base. We import categories first in a dedicated pass, capture the assigned Gorgias category IDs, and use those IDs as foreign keys when importing articles in the subsequent pass. Category hierarchy (parent-child relationships) is preserved if the target Gorgias instance supports nested categories; otherwise we flatten to a top-level structure with ordering preserved.

Helpy

Agent/Staff

maps to

Gorgias

User

1:1
Fully supported

Helpy agent records are not a standalone CSV import type. We provision agent accounts in Gorgias via the Users API using the agent's email address, assign the appropriate role (admin, agent, or viewer), and map ticket assignee references in the CSV export to the newly created Gorgias User IDs. Agents who should be deactivated post-migration are flagged during scoping and set to inactive rather than deleted so that historical assignment references remain intact.

Helpy

Tag

maps to

Gorgias

Tag

1:1
Fully supported

Helpy tickets can carry tags depending on the installed version's CSV schema. We audit the source schema during discovery and extract tags from the ticket export if present. Tags are created in Gorgias via the Tags API before the ticket pass and linked to tickets by name match. Tags that do not exist in Gorgias are created on the fly during the ticket pass with idempotent upsert logic.

Helpy

Attachment

maps to

Gorgias

Attachment

lossy
Fully supported

Helpy's CSV import does not support inline attachments. We flag attachment-heavy tickets during scoping, extract files to a managed CDN bucket, and provide a post-migration reference table mapping each attachment to its CDN URL and the ticket it belongs to. The reference table is delivered alongside the migration so that the customer's admin can attach files manually or use Gorgias's file upload API to complete the attachment restore.

Helpy

Custom Ticket Field

maps to

Gorgias

Custom Field

lossy
Fully supported

Helpy supports custom metadata on tickets but the CSV schema for these fields varies by installation. We audit the target Gorgias instance's custom field configuration during discovery and create any missing custom field definitions via the custom-fields API before the ticket pass begins. Helpy custom field values are then mapped to the corresponding Gorgias custom field values by name match. Fields that exist in Helpy but have no Gorgias equivalent are held in a custom field log for admin review.

Helpy

Workflow/Automation

maps to

Gorgias

Rule or Macro

lossy
Fully supported

Helpy automation rules (triggers and automations) are not exportable via CSV and have no documented API for bulk migration. We document the existing automation logic during discovery, map each trigger and condition to its nearest Gorgias Rules or Macro equivalent, and deliver a written inventory with step-by-step rebuild instructions. The customer's admin rebuilds Rules and Macros in Gorgias post-migration; we do not port automation logic as code.

Helpy

Macro

maps to

Gorgias

Macro

lossy
Fully supported

Helpy macro equivalents (canned response templates) are stored as part of ticket reply patterns rather than a discrete export type. We extract text patterns used repeatedly across ticket replies during the discovery pass, group them by similarity, and present a proposed Macro list for the customer to review. Macros are documented as a written handoff rather than migrated as executable code.

Helpy

Satisfaction Survey

maps to

Gorgias

Satisfaction Survey

lossy
Fully supported

If Helpy has satisfaction survey responses attached to tickets, we export those as a standalone data set and map them to Gorgias's satisfaction survey object. The Helpy survey question text and rating or response value are stored as a custom field on the ticket in Gorgias rather than as a native satisfaction survey record, since Gorgias's survey object is tied to its own survey configuration flow.

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.

Helpy logo

Helpy gotchas

High

No REST API for bulk record creation

Medium

CSV import is admin-only and schema-sensitive

Medium

Knowledge Base Docs and Categories must be sequenced correctly

Medium

Ticket Replies imported as a separate type require chronological sequencing

Gorgias logo

Gorgias gotchas

High

AI Agent adds outcome-based fees on top of billable ticket costs

High

Overage billing for tickets scales nonlinearly

Medium

API rate limits restrict bulk export throughput

Medium

Agent data visibility cannot be restricted by role for GDPR use cases

Low

Knowledge Base translations require separate API calls per locale

Pair-specific challenges

  • Helpy CSV export requires transformation for Gorgias API ingestion

    Helpy has no REST or GraphQL API for bulk record creation. All migration data must be extracted via Helpy's CSV export layer, validated against Helpy's template headers, and then reformatted as Gorgias API payloads for each record type (Customer, Ticket, Message, Tag, Help Center Article, Help Center Category). The two-layer conversion (Helpy CSV to intermediate representation, then intermediate representation to Gorgias API calls) adds a transformation pass that is absent in source-to-destination API migrations. We checksum all intermediate files and validate field counts and data types before each API pass to catch transformation errors before they reach Gorgias.

  • Gorgias cannot auto-sync ticket statuses after Helpy import completes

    Gorgias's import and continuous sync features (documented for Zendesk migrations) do not apply to Helpy because Helpy has no push mechanism. If tickets are resolved or updated in Helpy after the export snapshot, those changes are not reflected in Gorgias. We freeze Helpy writes during the migration window, run a final delta export immediately before cutover, and import any remaining changes via a last-pass API run. Any ticket modifications made in both systems simultaneously during the window result in a timestamp-based conflict that we resolve by preferring the most recent Helpy update.

  • Gorgias Help Center categories must precede article imports

    Gorgias requires that Help Center categories exist and return a category ID before articles can be assigned to them via the Articles API. We follow a strict import order: categories first (with IDs captured), then articles (with category_id mapped). If the category assignment in the source data does not match a valid Gorgias category ID, the article lands in an unassigned state and is flagged for manual review post-migration.

  • Reply threading requires chronological sequencing to preserve conversation context

    Helpy Ticket Replies are a standalone import type referenced by parent ticket number and ordered by timestamp. If replies arrive out of order or reference a non-existent parent ticket, Helpy silently drops them. We sort all reply records by timestamp before formatting, verify parent-ticket existence in Gorgias before each reply pass, and hold orphaned replies in a reconciliation queue rather than allowing silent data loss.

  • Large historical imports are throttled to ~720 tickets per hour

    Gorgias's documented import rate for ticket-heavy migrations averages around 720 tickets per hour, depending on the number of messages per ticket. Accounts with tens of thousands of historical tickets should plan for multi-day import windows. We manage batch sizing, implement exponential backoff on rate-limit responses, and run imports off-hours when possible to minimize impact on active agent sessions.

Migration approach

Six steps for a successful Helpy to Gorgias data migration

  1. Discovery and Helpy schema audit

    We audit the source Helpy instance across CSV export capability, active custom field configurations, tag usage, KB article count and category hierarchy depth, agent account list, and ticket volume by status. We validate that the Helpy CSV templates are accessible and match the expected column headers for customers, tickets, replies, docs, and categories. Any Helpy instance using a non-standard template (common in self-hosted deployments with custom forks) is flagged for manual header mapping before the export pass begins.

  2. Gorgias account provisioning and schema pre-creation

    We provision the Gorgias account at the appropriate tier (Starter for low-volume, Basic for mid-volume, Pro or above for high-volume and AI automation needs). We pre-create all custom field definitions via the custom-fields API, pre-create Help Center categories via the categories endpoint and capture their IDs for article mapping, and pre-create agent User accounts via the Users API with the correct role assignments. This ensures that the main migration passes write to pre-validated schema rather than encountering creation-time errors mid-pass.

  3. CSV extraction and transformation pipeline

    We extract data from Helpy's CSV export layer in dependency order: categories first, then customers, then tickets, then ticket replies. Each extract is validated against the expected column headers and row counts. The intermediate files are transformed to Gorgias API payload format and held in a staging environment with checksums. Ticket replies are sorted chronologically before transformation to preserve conversation threading. Any records with missing required fields are flagged to the customer for resolution before the Gorgias import pass begins.

  4. Sandbox migration and reconciliation

    We run a full migration into the customer's Gorgias sandbox using production-like data volume. The customer reconciles record counts (Customers in, Tickets in, Articles in, Categories in), spot-checks 25-50 random records against the Helpy source, and validates that ticket reply threads read in the correct chronological order. Any mapping corrections, missing custom fields, or category hierarchy issues are resolved in this phase. Sign-off on the sandbox pass is required before production migration begins.

  5. Production migration in dependency order

    We run production migration in strict record-dependency order: categories (first, for article foreign-key resolution), customers (with email as dedupe key), Help Center articles (with category_id resolved), agents (provisioned with correct roles), tickets (with assignee resolved to User ID), ticket replies (chronologically sequenced against parent ticket ID), and tags (idempotently upserted). Each phase emits a row-count reconciliation report before the next phase begins. API batch sizes are managed to stay within Gorgias rate limits with exponential backoff on throttling responses.

  6. Cutover, validation, and automation rebuild handoff

    We freeze Helpy writes during cutover, run a final delta migration of any records modified during the migration window, then enable Gorgias as the system of record. We deliver the automation and macro inventory document to the customer's admin team with step-by-step rebuild instructions for Gorgias Rules and Macros. We provide a one-week hypercare window where we resolve any reconciliation issues raised by the support team. We do not rebuild Helpy automations as Gorgias Rules inside the migration scope; that work is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

Helpy logo

Helpy

Source

Strengths

  • Open-source license with self-hosting option gives full data ownership and control.
  • Integrated Knowledge Base with category structure ships in the same product as ticketing.
  • CSV import templates are publicly available and admin-accessible without a developer.
  • Lightweight UI reduces onboarding friction for small support teams.
  • Active open-source community contributes patches and third-party themes.

Weaknesses

  • No public REST API means third-party integrations require custom development or workarounds.
  • No native bulk-export tool beyond CSV, so large-scale data extraction requires scripting.
  • Limited advanced reporting and analytics compared to enterprise helpdesk platforms.
  • Self-hosting model shifts server maintenance burden onto the customer's team.
  • Feature roadmap is community-driven, which can be slower than commercial competitors for enterprise features.
Gorgias logo

Gorgias

Destination

Strengths

  • Shopify and BigCommerce integrations surface order, return, and shipment data natively inside every ticket.
  • Unlimited agent seats remove per-user licensing friction as support teams grow.
  • AI Agent reduces billable ticket volume through automated resolution of high-frequency queries.
  • SOC 2 Type II certified with GDPR-aligned data handling for enterprise procurement readiness.
  • Omnichannel inbox aggregates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.

Weaknesses

  • Ticket-volume pricing with overage fees creates unpredictable monthly costs during seasonal traffic spikes.
  • Custom reporting is shallow; raw event-level data export for BI tooling is not natively supported.
  • Knowledge Base, Macros, and Rules lack simple export tooling, making competitive migrations complex.
  • GDPR compliance limitations mean customer data cannot be hidden from agents by role, blocking use by teams with freelance staff.
  • Performance and glitch reports emerge in G2 reviews at higher ticket volumes.

Complexity grading

How hard is this migration?

Standard Helpdesk migration. 1 of 7 objects need a manual workaround.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Helpy and Gorgias.

  • Object compatibility

    C

    1 of 7 objects need a manual workaround.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Helpy: Not publicly documented as numeric quotas.

  • Data volume sensitivity

    A

    Helpy exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Helpy to Gorgias 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 Helpy to Gorgias data migrations

Answers to the questions buyers ask most during Helpy to Gorgias migration scoping. Not seeing yours? Book a call.

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Most migrations land between two and three weeks for accounts under 3,000 tickets, 1,000 customers, and 500 KB articles. Migrations exceeding 10,000 tickets, large reply histories, or complex multi-tier KB category structures move to four to six weeks because of the multi-pass sequencing requirement (categories before articles, tickets before replies), the CSV-to-API transformation layer, and API batch throttling that can extend import windows for large historical volumes.

Adjacent paths

Related migrations to explore

Ready when you are

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