Helpdesk migration

Migrate from Freshservice to Gorgias

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

Freshservice logo

Freshservice

Source

Gorgias

Destination

Gorgias logo

Compatibility

92%

11 of 12

objects map 1:1 between Freshservice and Gorgias.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Freshservice to Gorgias is a domain shift from IT service management to customer experience. Freshservice is built around ITIL principles — Tickets, Agents, Requesters, Assets, Changes, Problems, and CMDB records. Gorgias is a Shopify-centric CX platform designed for eCommerce support teams handling Orders, Customers, Tickets, and Macros. We migrate the objects that overlap natively (Tickets, Agents, Requesters, conversation history) and document the ITSM-specific objects that have no Gorgias equivalent — Change records, Problem records, and CMDB assets — so your admin can decide whether to export them to a spreadsheet, a separate tool, or accept them as data that does not belong in a CX platform. We handle the Freshservice agent-based license to Gorgias per-ticket pricing model mapping during scoping to prevent billing surprises post-migration. Automation rules, SLA policies, and Freshservice Freddy AI configurations do not migrate as code; we deliver written inventories for your team to rebuild in Gorgias.

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

Freshservice logo

Freshservice

What's pushing teams away

  • Freddy AI became a paid add-on rather than a platform-included feature, which felt like a bait-and-switch for customers who purchased expecting the AI to remain included at their tier.
  • Reporting on hierarchical ticket structures — particularly child tickets — is weak and requires exporting to BI tools to get meaningful cross-ticket views.
  • Advanced customizations that require custom objects are only available on Forest and Enterprise plans, and the absence of native-to-custom object associations limits real-world utility.
  • Dashboard performance degrades when handling large ticket volumes, leading to slow load times that frustrate agents during high-activity periods.
  • Platform evolution is frequent and sometimes removes or restructures features mid-subscription, forcing customers to adapt workflows unexpectedly.

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 Freshservice objects map to Gorgias

Each row shows how a Freshservice 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.

Freshservice

Ticket

maps to

Gorgias

Ticket

1:1
Fully supported

Freshservice Tickets migrate to Gorgias Tickets with subject, description, status, priority, type, and group preserved. Channel assignment maps from the Freshservice source channel (Email, Portal, Chat, Phone) to the Gorgias channel type. We use Freshservice's ticket_id as the Gorgias external_id so that cross-references remain valid in any linked documentation. Custom fields on Freshservice tickets migrate as Gorgias custom fields with the same label and data type.

Freshservice

Agent

maps to

Gorgias

Agent

1:1
Fully supported

Freshservice Agents map to Gorgias Agents by email address as the dedupe key. Freshservice role assignments (Agent, Category Manager, Requester, Admin) map to Gorgias permission levels. Agent group memberships in Freshservice map to Gorgias teams. We flag any Freshservice Agent without an email match in the Gorgias destination for manual account creation before the agent-lookup step of ticket migration.

Freshservice

Requester

maps to

Gorgias

Customer

1:1
Fully supported

Freshservice Requesters map to Gorgias Customers. First name, last name, email, phone, and organization all migrate directly. If Freshservice Requesters are associated with an Organization record, we map that to a Gorgias Customer tag or note rather than a native organization object, since Gorgias does not have a standalone Organization/Account object separate from Customer. Email address is the primary dedupe key.

Freshservice

Ticket Conversation

maps to

Gorgias

Ticket Message

1:1
Fully supported

Freshservice Ticket conversations (comments, public notes, internal notes) migrate to Gorgias Ticket Messages with the message body, author (Agent or Customer), and timestamp preserved. Public comments from Freshservice map to Gorgias public messages; internal notes map to Gorgias private notes where the destination supports private note visibility. Attachment URLs migrate as links in the message body with a flag noting they are historical references.

Freshservice

SLA Policy Assignment

maps to

Gorgias

Ticket Priority

lossy
Fully supported

Freshservice SLA Policies tied to ticket priority or type have no direct Gorgias equivalent because Gorgias SLA management is an add-on feature with different configuration semantics. We map Freshservice SLA priority levels (Low, Medium, High, Urgent) to Gorgias ticket priority (Low, High) as a two-tier simplification, and document every Freshservice SLA Policy configuration in a written inventory so the customer's admin can configure matching SLAs in Gorgias Automate or as manual rules.

Freshservice

Change

maps to

Gorgias

None — written handoff

1:1
Fully supported

Freshservice Change records (planned IT environment modifications with risk levels, approvers, and CI associations) have no Gorgias equivalent because Gorgias is a CX platform with no change management module. We export Change records to a CSV with all fields and relationships preserved and deliver the file in the migration report. The customer decides whether to import the CSV into a separate ITSM tool, retain it as an archive, or discard it.

Freshservice

Problem

maps to

Gorgias

None — written handoff

1:1
Fully supported

Freshservice Problem records (root-cause tracking behind one or more incidents) have no Gorgias equivalent. Gorgias ticket resolution is the terminal state with no problem-incident linkage. We export Problem records to a CSV, including the linked incident ticket IDs, and document the linkage for the customer to recreate in a separate tool if needed.

Freshservice

Asset / CI

maps to

Gorgias

None — written handoff

1:1
Fully supported

Freshservice Assets and Configuration Items (hardware, software, network items tracked in the CMDB) have no Gorgias equivalent. Gorgias is a customer support tool, not an ITSM CMDB. We export the asset inventory to CSV with type, location, assignee, and status fields preserved and flag that Gorgias customers who need asset management typically run Freshservice or a dedicated CMDB tool in parallel.

Freshservice

Custom Object

maps to

Gorgias

None — written handoff

1:1
Fully supported

Freshservice Custom Objects (Forest and Enterprise only) that reference Tickets, Agents, or other native objects have no Gorgias equivalent. Gorgias does not support standalone custom object types — only custom fields on Ticket and Customer. We export Custom Object records to CSV, map any ticket reference fields as plain-text ticket IDs, and deliver the full schema and data inventory for the customer to assess whether the data belongs in a separate database or can be restructured as Gorgias custom ticket fields.

Freshservice

Solution / Knowledge Base

maps to

Gorgias

Help Center Article

1:1
Fully supported

Freshservice Solutions (knowledge-base articles with categories) map to Gorgias Help Center articles. Article title, body (HTML or markdown), category, and publication status migrate. We preserve any Freshservice article-to-ticket linkage as a note field on the article record. The Gorgias Help Center article URL is generated from the article title slug.

Freshservice

Service Catalog Item

maps to

Gorgias

None — written handoff

1:1
Fully supported

Freshservice Service Catalog items (multi-step request forms with approval chains) have no Gorgias equivalent because Gorgias does not have a service catalog module. We document every catalog item, its form fields, its approval workflow, and its current request volume as a written handoff so the customer can decide whether to recreate simplified versions in Gorgias Macros or accept that the catalog use case moves to a separate ITSM tool.

Freshservice

Survey / CSAT

maps to

Gorgias

Satisfaction Survey

1:1
Fully supported

Freshservice Surveys (CSAT and CES ratings attached to tickets) map to Gorgias Satisfaction Surveys with score, comment, and ticket reference preserved. The Freshservice survey response timestamp migrates as the Gorgias survey timestamp. We map Freshservice survey type (CSAT vs CES) to Gorgias satisfaction rating type if the destination plan supports multiple survey types.

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.

Freshservice logo

Freshservice gotchas

High

API rate limits vary by plan and must be accounted for during migration scoping

Medium

Agent-based vs requester-based licensing affects migration sizing

Medium

Custom Objects cannot define associations to native Freshservice objects

Low

Child ticket reporting is limited in native Freshservice dashboards

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

  • ITSM objects without Gorgias equivalents require a disposition decision

    Freshservice Change records, Problem records, and the full CMDB asset inventory have no Gorgias equivalent because Gorgias is a customer experience platform, not an ITSM suite. We export these records to CSV and deliver a written schema-and-data inventory during migration handoff. If the customer needs these records accessible post-migration, they must be imported into a separate ITSM tool (Freshservice retained, ServiceNow, Jira Service Management) or accepted as archive data. Failing to make this decision upfront means the data sits in an undefined state after cutover.

  • Freshservice agent-based licensing does not map to Gorgias per-ticket billing

    Freshservice bills per Agent regardless of ticket volume; Gorgias bills per billable ticket with unlimited agents on paid plans. The migration scoping must recalculate the agent roster (every Freshservice Agent becomes a Gorgias Agent seat at no incremental cost) and project the expected billable ticket volume under Gorgias pricing. If the source account counted all users as agents, moving to Gorgias can significantly reduce or increase monthly cost depending on actual ticket volume. We flag this pricing delta during the discovery call and recalculate the destination plan recommendation before migration begins.

  • Freshservice Custom Objects cannot associate to Gorgias tickets natively

    Freshservice Custom Object records that reference Tickets, Agents, or Assets have no native association path in Gorgias. We store the related record ID as a plain-text custom field on the Gorgias ticket rather than a native lookup, which means the association is visible but not clickable. The customer must decide during scoping whether to accept this degraded association or to export the Custom Object data to a separate database with full relationship preservation.

  • Freshservice SLA policies have a different configuration model in Gorgias

    Freshservice SLA policies are defined as first-class policy objects with response and resolution time targets tied to priority, urgency, or request type. Gorgias SLA management (available on higher tiers) uses a different rule-based configuration model. We do not migrate SLA configurations as code. We deliver a written SLA inventory mapping every Freshservice policy to a Gorgias rule configuration description, and the customer's admin rebuilds the SLAs in Gorgias. Ticket priority levels require a two-tier remap from Freshservice's four levels (Low, Medium, High, Urgent) to Gorgias's two levels (Low, High) unless custom priority tiers are enabled in the destination plan.

  • Freshservice Freddy AI add-on has no Gorgias AI Agent migration path

    Freddy AI on Freshservice (paid add-on for triage, resolution suggestions, and conversational assist) has no equivalent in the Freshservice-to-Gorgias migration scope. Gorgias AI Agent is a separate product with its own per-resolution pricing. We do not migrate AI training data, triage rules, or Freddy AI configurations. We document which Freshservice Freddy AI features are in active use so the customer can evaluate whether Gorgias AI Agent covers the same use cases at their expected ticket resolution volume.

Migration approach

Six steps for a successful Freshservice to Gorgias data migration

  1. Discovery and ITSM-to-CX scope boundary

    We audit the Freshservice portal across plan tier, agent count, requester count, active ticket volume, closed ticket history depth, SLA policy count, asset inventory size, and any active Change, Problem, or Release records. We pair this with a Gorgias plan recommendation based on expected billable ticket volume. The critical output of this step is the ITSM scope boundary: we classify every Freshservice object as migratable-to-ticket, migratable-to-customer, migratable-to-article, or export-to-csv-with-written-handoff. This classification is reviewed with the customer before migration begins so that no ITSM data sits in limbo post-cutover.

  2. Gorgias workspace setup and plan activation

    We configure the Gorgias workspace before data import: agent accounts created to match Freshservice agents by email, teams mapped from Freshservice agent groups, channel routing configured for the source channels present in Freshservice (Email, Portal, Chat, Phone), and custom ticket priority remapped from Freshservice's four tiers to Gorgias's two-tier model or extended priority tiers if the plan supports them. Any Gorgias automations (macros, rules) are noted as placeholders to be rebuilt; we do not build them during migration scope.

  3. Demo migration and ITSM data disposition review

    We run a full migration into a Gorgias Sandbox or staging environment using production-like data volume. The customer's team reviews the migrated Tickets, Customers, and Agents and validates that channel assignments, priority mappings, and timestamp fidelity are correct. For any Freshservice ITSM objects slated for CSV export (Changes, Problems, Assets, Custom Objects), we deliver sample output files and confirm the customer has a tool and process to receive them before production migration begins. Sign-off on the demo output gates the production migration date.

  4. Production migration in dependency order

    We run production migration in this sequence: Agents (validated against pre-provisioned accounts), Customers (from Freshservice Requesters with email dedupe), Tickets (with Customer resolved via email lookup before ticket insert), Ticket Messages (linked to tickets and authors), Satisfaction Surveys (linked to tickets), Knowledge Base Articles (with categories). Each phase emits a row-count reconciliation report. ITSM data exports (Change, Problem, Asset, Custom Object CSVs) run in parallel as a separate data package.

  5. Cutover, delta migration, and ITSM data delivery

    We freeze Freshservice writes during cutover, run a delta migration of any tickets or messages created or modified during the migration window, then deliver the ITSM CSV package (Changes, Problems, Assets, Custom Objects) with full schema documentation. We do not import these records into Gorgias because no Gorgias equivalent exists. The customer receives a written object-by-object migration report with record counts, any skipped records (with reason), and a recommended disposition path for each ITSM object type.

  6. Automation rebuild handoff and post-migration support

    We deliver a written automation inventory: every Freshservice Workflow, Service Catalog item, SLA policy, and Freddy AI configuration with its trigger, conditions, and actions, plus a recommended Gorgias equivalent (Gorgias Macros, Gorgias Rules, Gorgias Automate, or Gorgias AI Agent). We do not rebuild automations inside migration scope. We support a one-week post-cutover window where we resolve any record reconciliation issues raised by the customer's support team. Post-migration admin support, training, and automation rebuild are separate engagements.

Platform deep dives

Context on both ends of the pair

Freshservice logo

Freshservice

Source

Strengths

  • Agent-based licensing model with no charge for approvers or requesters keeps total cost predictable across team sizes.
  • Fast time-to-value: teams report getting from signup to first resolved ticket within a single session.
  • Asset discovery scans networks and endpoints automatically, cutting manual CMDB population time significantly.
  • Automation rules, SLA management, and service catalog are native — no professional services engagement required to activate them.
  • Escalation rules and group-based routing handle complex IT org structures without requiring custom code.

Weaknesses

  • Freddy AI is a paid add-on at additional cost rather than included in platform tiers, which surfaces frequently in negative reviews.
  • Child ticket reporting and dashboard performance degrade under large ticket volumes, pushing teams toward external BI tools.
  • Custom Objects are locked behind Forest and Enterprise plans and do not support associations to native objects.
  • Advanced workflow customization and API extensibility require developer resources that smaller IT teams may not have on staff.
  • Feature releases sometimes restructure or remove functionality mid-subscription without advance notice.
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?

Moderate Helpdesk migration. 3 of 7 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

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

  • 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

    Freshservice: 200 calls/min (Growth) to 700 calls/min (Enterprise) depending on plan tier; limits are per-account, not per-agent.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Freshservice 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 Freshservice to Gorgias data migrations

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

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Most migrations land between three and five weeks for accounts under 5,000 active tickets and clean agent and requester inventories with no active Change, Problem, or Asset records requiring CSV export. Migrations with large historical ticket archives (over 50,000 closed tickets), Freshservice Custom Objects, or customers who want a full ITSM data export reviewed before production migration move to six to ten weeks because of the schema-gap documentation work and multi-phase export validation.

Adjacent paths

Related migrations to explore

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