Helpdesk migration

Migrate from Gorgias to Freshdesk

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

Gorgias logo

Gorgias

Source

Freshdesk

Destination

Freshdesk logo

Compatibility

58%

7 of 12

objects map 1:1 between Gorgias and Freshdesk.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Try the reverse

Freshdesk
Gorgias

Overview

What this migration involves

Moving from Gorgias to Freshdesk is a migration from a ticket-volume-priced e-commerce helpdesk to a per-seat-priced multi-channel support platform with a broader industry focus. The structural shift is from Gorgias's Shopify-centric ticket model (where order context is native to every ticket) to Freshdesk's agent-based licensing with company and contact hierarchy. We handle the per-ticket overage cost exposure that drove the switch by scoping peak monthly ticket volume during discovery and recommending a Freshdesk plan with sufficient agent headroom. Macros, Rules, and Views export as written configuration documents rather than executable code because neither platform has a native macro export that survives the cross-system import intact. Knowledge Base articles and categories migrate in full with translation content. Workflows, automations, and AI Agent configurations do not migrate; we deliver a written handoff inventory for the customer's admin team to rebuild.

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

Gorgias logo

Gorgias

What's pushing teams away

  • Ticket-volume pricing catches teams off guard during seasonal spikes; overage fees at $0.40 per ticket plus $1.50 per AI Agent interaction compound quickly.
  • G2 reviews document ticketing glitches and performance issues at higher volumes, with some users reporting that the platform becomes unreliable as ticket counts grow.
  • Custom reporting is limited; teams with evolving business intelligence needs find Gorgias's built-in analytics insufficient and cannot export raw event-level data easily.
  • Knowledge Base, Macros, and Rules do not export cleanly via native tooling, making it costly to migrate to an alternative platform without a specialist integration partner.
  • GDPR compliance gaps make the platform unusable for teams using freelance agents; customer data visibility cannot be restricted per-agent role in the way EU data handling requires.

Choosing

Freshdesk logo

Freshdesk

What's pulling them in

  • Free tier for 1-2 agents with no credit card makes initial evaluation risk-free and appeals to startups and small support teams.
  • Per-agent pricing is predictable and scales cleanly as teams grow from Growth at $15/agent/month to Enterprise at $89/agent/month.
  • Freddy AI Copilot and Email AI Agent bring AI assistance without forcing a full platform switch, appealing to teams already embedded in Freshdesk.
  • Multilingual help desk and customer portal features serve global SMB teams without requiring enterprise-level investment.
  • Collaborators up to 5,000 included in paid plans allow non-agent stakeholders to view tickets without additional licensing cost.

Object mapping

How Gorgias objects map to Freshdesk

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

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

Gorgias

Ticket

maps to

Freshdesk

Ticket

1:1
Fully supported

Gorgias Tickets map directly to Freshdesk Tickets with status, priority, assignee, and channel preserved. The Gorgias channel field (email, chat, Facebook, Instagram, WhatsApp, SMS, voice) maps to Freshdesk's type field. We preserve the original ticket ID as a custom field for cross-reference during reconciliation. Customer lookup resolves to Freshdesk Contact by email match.

Gorgias

Customer

maps to

Freshdesk

Contact and Organization

many:1
Fully supported

Gorgias Customers (end shoppers) map to Freshdesk Contacts. When a Gorgias Customer has a company_name field populated, we create or match a Freshdesk Organization and link the Contact to it. This creates a two-record structure (Contact plus Organization) versus Gorgias's single Customer record, which requires admin review of the Organization assignment logic post-migration.

Gorgias

Agent

maps to

Freshdesk

Agent

1:1
Fully supported

Gorgias Agents map to Freshdesk Agents by email match. Group membership in Gorgias maps to Freshdesk Agent Groups, which control ticket assignment routing. We preserve agent status (active/inactive) and flag any Gorgias agent without a matching Freshdesk user for the customer's admin to provision before production migration.

Gorgias

Group

maps to

Freshdesk

Agent Group

1:1
Fully supported

Gorgias Groups (also called Teams) map to Freshdesk Agent Groups. Group membership and routing rules are preserved in a written configuration document for the admin to reapply in Freshdesk's group settings, since routing logic is defined differently in each platform's automation layer.

Gorgias

Macro

maps to

Freshdesk

Macro

lossy
Fully supported

Gorgias Macros (saved reply templates with variable substitution and dynamic action fields) are exported as written configuration documents listing the macro body, conditions, and action sequence. Freshdesk supports macros natively, but we do not import them as executable code because Gorgias's variable substitution syntax differs from Freshdesk's. The customer's admin rebuilds each macro in Freshdesk's macro editor using our written macro inventory as the specification.

Gorgias

Rule

maps to

Freshdesk

Automations

lossy
Fully supported

Gorgias Rules (ticket routing, assignment, and auto-responses) are exported as written inventory documents describing trigger conditions, filters, and actions. Freshdesk Automations use a different configuration model (time-based and event-based triggers with different action types). We do not migrate Rules as executable code; the written inventory is the handoff for the customer's admin to rebuild in Freshdesk Automations.

Gorgias

View

maps to

Freshdesk

Saved Views

lossy
Fully supported

Gorgias Views (saved filter configurations) export as written filter specifications: field conditions, operators, and sort order. Freshdesk supports saved views with equivalent filter logic. We document each Gorgias View with its filter configuration so the admin can recreate it as a Freshdesk saved view.

Gorgias

Knowledge Base Category

maps to

Freshdesk

Category

1:1
Fully supported

Gorgias KB Categories map to Freshdesk Categories with name, position, and description preserved. Category hierarchy and ordering migrate as parent-child relationships. We capture the category locale assignments for multi-locale accounts.

Gorgias

Knowledge Base Article

maps to

Freshdesk

Article

1:1
Fully supported

Gorgias KB Articles migrate to Freshdesk Articles with full HTML body content, author attribution, status (draft/published/archived), and folder assignment preserved. For multi-locale articles, we enumerate all enabled locales from Gorgias account settings and issue a separate article fetch per locale to capture complete translation coverage, then import each locale version as a separate Freshdesk article with locale metadata.

Gorgias

Conversation

maps to

Freshdesk

Conversation

1:1
Fully supported

Gorgias Conversations (individual messages within a ticket, including internal notes and public replies) map to Freshdesk Ticket Conversations. We preserve author, timestamp, privacy flag (internal vs public), and message body. Attachments referenced by URL in Gorgias are downloaded and re-uploaded as Freshdesk attachments, handling file type restrictions and size limits.

Gorgias

Satisfaction Survey

maps to

Freshdesk

CSAT Survey Response

1:1
Fully supported

Gorgias CSAT ratings migrate to Freshdesk CSAT Survey Responses with rating score, free-text response, and timestamp preserved, linked to the originating ticket. The survey configuration (rating scale, survey questions) migrates as a written configuration document.

Gorgias

Custom Field (Tickets and Customers)

maps to

Freshdesk

Custom Field

lossy
Fully supported

Gorgias custom fields (string, boolean, date, number, select, multi-select) on Tickets and Customers map to Freshdesk custom fields of equivalent type. Select and multi-select fields require enumerated value mapping since Freshdesk uses a different picklist structure. We preserve field type, archived status, and any conditional visibility rules as written configuration for the admin to reapply in Freshdesk's field settings.

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.

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

Freshdesk logo

Freshdesk gotchas

High

API access is blocked on the free plan

High

Per-minute rate limits are account-wide and endpoint-specific

Medium

Multi-channel source types do not map 1:1 to all destinations

Medium

Custom objects created in-product cannot be accessed by other apps

Low

Contact import requires at least 10 existing tickets in the account

Pair-specific challenges

  • Ticket-volume pricing shift requires peak-volume scoping

    Gorgias pricing scales on billable ticket volume with overage at $0.40 per ticket plus $1.50 per AI Agent resolution. Freshdesk pricing is per-agent with no ticket overage. We track the customer's trailing six-month peak monthly ticket volume during discovery and recommend a Freshdesk plan with sufficient agent seats to handle the same peak load without overage exposure. Skipping this step results in a Freshdesk plan that appears cheaper on average but leaves the customer paying overage-style costs for high-volume months under a different name.

  • Macros, Rules, and Views do not migrate as executable code

    Gorgias Macros use variable substitution syntax that differs from Freshdesk's macro format, and Rules use routing logic with different trigger and action models. We do not import them as executable code. We deliver a written configuration inventory for each Macro, Rule, and View with its full specification (body content, conditions, operators, actions, sort order) so the customer's admin rebuilds them in Freshdesk. This is the standard scope for helpdesk migrations and is disclosed upfront.

  • Multi-locale Knowledge Base requires per-locale API calls

    Gorgias stores Knowledge Base translations as separate field structures per locale. The API does not return all translations in a single response; each locale must be fetched individually. We enumerate enabled locales from the Gorgias account settings and issue a separate article fetch per locale to capture complete translation coverage. For accounts with many locales and thousands of articles, this adds meaningful API time to the migration scope.

  • API pagination limits create long export windows for high-volume accounts

    Gorgias API rate limits are 40 requests per 20 seconds for API key auth and 80 requests per 20 seconds for OAuth2, with page sizes capped below 100 records per response. For accounts with hundreds of thousands of tickets, a naive sequential export takes days. We implement pagination with exponential backoff and parallelize across object types where the API permits, staying within the rate limit envelope. Freshdesk's import API has its own rate limits (100-700 calls per minute by plan tier) which we coordinate with during import.

  • Customer-to-Organization restructuring may require admin review

    Gorgias stores customer records as flat Customer objects, some with a company_name field. Freshdesk uses a two-object model: Contacts attached to Organizations. We create or match a Freshdesk Organization for each customer with a company_name and link the Contact to it. For customers without a company_name, we create a personal Organization or link directly to the Contact. The Organization assignment logic requires admin review before production migration to ensure the customer-facing account structure matches the support team's workflow.

Migration approach

Six steps for a successful Gorgias to Freshdesk data migration

  1. Discovery and plan recommendation

    We audit the source Gorgias account: monthly ticket volume (trailing six months, identifying peak), active agents, Macros, Rules, Views, Knowledge Base article count and locale count, custom field schemas on Tickets and Customers, attachment volume, and CSAT survey configuration. We pair this with a Freshdesk plan recommendation based on agent seat count needed for peak volume and the plan tier required for the customer's required API rate limit. The discovery output is a written migration scope and a Freshdesk plan recommendation.

  2. Object inventory and field mapping specification

    We produce a field-level mapping document for each object: Tickets to Tickets (with channel type mapping), Customers to Contacts with Organization merge logic, Agents to Agents, Groups to Agent Groups, Knowledge Base Categories to Categories, and Knowledge Base Articles to Articles with per-locale fetch instructions. Custom field types are mapped (string, boolean, date, number, select, multi-select) to Freshdesk equivalent field types. Macros, Rules, and Views are documented as written configuration specifications for admin rebuild.

  3. Sandbox migration and reconciliation

    We run a full migration into a Freshdesk trial or sandbox environment using production-like data volume. The customer's support operations lead reconciles record counts (Tickets in, Contacts in, Organizations in, Agents in, Articles in), spot-checks 25-50 random ticket threads against the Gorgias source, and reviews Knowledge Base article rendering. Any mapping corrections happen here, not in production.

  4. Knowledge Base translation enumeration

    For accounts with multi-locale Knowledge Base, we enumerate enabled locales from Gorgias account settings and issue a separate article fetch per locale before the main migration pass. Each locale's articles are tagged with locale metadata for Freshdesk import. This step runs in parallel with other export work to reduce total migration wall time.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Agents (validated for matching), Organizations (from Gorgias customers with company_name), Contacts (with OrganizationId resolved), Tickets (with ContactId resolved by email match and custom field values populated), Knowledge Base Categories, Knowledge Base Articles (with per-locale tagging), Conversations (linked to Tickets), Attachments (downloaded and re-uploaded), and CSAT responses. Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and configuration handoff

    We freeze Gorgias writes during cutover, run a final delta migration of any records modified during the migration window, then enable Freshdesk as the system of record. We deliver the Macro, Rule, and View configuration inventory to the customer's admin team with a rebuild guide. We support a one-week hypercare window where we resolve any reconciliation issues. We do not rebuild Macros, Rules, or Automations in Freshdesk inside the migration scope; that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

Gorgias logo

Gorgias

Source

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.
Freshdesk logo

Freshdesk

Destination

Strengths

  • Generous free tier with no credit card required for 1-2 agents for 6 months.
  • Per-agent pricing model is transparent and scales linearly with team growth.
  • Freddy AI Copilot integrates assistance directly into the agent workspace without requiring separate tooling.
  • Multilingual help desk and customer portal serve global teams on Pro and Enterprise plans.
  • Shared inbox, threads, and tasks keep ticket context unified across multi-channel conversations.

Weaknesses

  • Freddy AI is a separate paid add-on charged per session, making AI costs unpredictable and hard to budget.
  • Performance issues including delayed loading and duplicate tickets are recurring user complaints during high-volume periods.
  • Customization is more limited than Zendesk, with fewer workflow options and reporting flexibility.
  • Add-ons for chat, advanced routing, and custom reporting are gated behind higher tiers or separate module purchases.
  • API access is completely disabled on the free plan, blocking any programmatic data export or migration tooling.

Complexity grading

How hard is this migration?

Standard Helpdesk migration. 3 of 7 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 Gorgias and Freshdesk.

  • Object compatibility

    C

    3 of 7 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

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

  • API constraints

    B

    Gorgias: 40 req/20s (API key) or 80 req/20s (OAuth2); Enterprise uses 10-second window.

  • Data volume sensitivity

    A

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

Estimator

Estimate your Gorgias to Freshdesk 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 Gorgias to Freshdesk data migrations

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

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Most migrations land between three and five weeks for accounts under 50,000 tickets, 5,000 customers, and a single-locale Knowledge Base. Migrations with high ticket counts (over 200,000), multi-locale Knowledge Base content, complex custom field schemas, or customer records requiring Organization restructuring move to six to ten weeks because of API pagination time, translation enumeration per locale, and custom field type mapping work.

Adjacent paths

Related migrations to explore

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