Helpdesk migration

Migrate from Service to Gorgias

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

Service logo

Service

Source

Gorgias

Destination

Gorgias logo

Compatibility

100%

12 of 12

objects map 1:1 between Service and Gorgias.

Complexity

BStandard

Timeline

24–48 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Service platforms and Gorgias take fundamentally different approaches to ticket architecture. Most Service implementations store tickets with rich metadata fields, nested conversation threads, and a variety of custom properties that track case type, severity, or department. Gorgias normalizes around a simpler Ticket + Message + Customer model with separate custom field definitions for both Ticket and Customer objects. We extract all ticket data including closed-at timestamps, source channels, and resolution codes; map them into Gorgias's Ticket object and its attached messages; and create custom fields for any source properties that have no native Gorgias equivalent. Macros, rules, and automations do not migrate — we export definitions as JSON so your Gorgias admin can rebuild them referencing the original logic. The migration runs via API at Gorgias's rate limits (40 req/20 sec for API-key auth, 80 req/20 sec for OAuth), with a delta-pickup window after the initial cutover to capture any in-flight tickets. Sample migration with field-level diff runs first so you verify the mapping before the full commit.

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

Service logo

Service

What's pushing teams away

  • Performance and speed inconsistencies are cited in multiple reviews, with users describing occasional sluggishness, slow loading when multiple tabs are open, and a heavy user interface that impacts daily productivity.
  • Steep learning curve and complex administration requirements make the platform difficult to implement and train users on, according to reviews from smaller teams and those without dedicated ITSM expertise.
  • The platform is perceived as overkill for simpler use cases, with organizations noting they need to use only a fraction of available features while paying enterprise pricing for full functionality.

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 Service objects map to Gorgias

Each row shows how a Service 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.

Service

Case / Ticket

maps to

Gorgias

Ticket

1:1
Fully supported

The primary case record from your Service platform maps to a Gorgias Ticket. We preserve the original subject line as the Ticket subject, the created-at timestamp as a custom datetime field (since Gorgias sets Created at migration time), and the current status. Source channel metadata (email, chat, phone, social) maps to Gorgias's channel field on each message.

Service

Case Comment / Message Thread

maps to

Gorgias

Message

1:1
Fully supported

Each message in your Service platform's conversation thread becomes a Gorgias Message record. We set the Message.type to 'email', 'chat', 'note', or 'call' based on the source channel. Public replies from agents and customers populate as standard messages; internal analyst notes map to Messages with privacy=true in Gorgias. The original message timestamp and author are preserved on each record.

Service

Contact / Customer

maps to

Gorgias

Customer

1:1
Fully supported

Customer records from your Service platform map to Gorgias Customer objects. We match on email address as the primary key. First name, last name, phone, and external_id transfer directly. Company name maps to the Customer's company field. Any CRM-linked order data that your Service platform stores must be recreated via Gorgias's Shopify or commerce integrations post-migration.

Service

Case Custom Fields

maps to

Gorgias

Ticket Custom Fields

1:1
Fully supported

Gorgias requires custom fields to be pre-created via the API before data can be written to them. We read every custom field definition from your Service platform during discovery, create matching fields in Gorgias (with the same type: string, boolean, date, number, select, or multi-select), then map field values during the data migration pass. Picklist values on the source are recreated as options in Gorgias's select custom field.

Service

Case Attachment / File

maps to

Gorgias

Attachment

1:1
Fully supported

File attachments on Service cases download from source storage and re-upload to Gorgias's file hosting. We preserve the original filename, MIME type, and attach each file to the corresponding Ticket or Message in Gorgias. Inline images embedded in rich-text case descriptions are extracted, downloaded, and re-hosted separately to maintain display fidelity.

Service

Agent / User

maps to

Gorgias

User

1:1
Fully supported

Agents from your Service platform are matched to Gorgias Users by email address. Active agents are created as Gorgias Users with the 'agent' role; admins map to the 'admin' role. We flag any source agent with no email match and surface them before migration so you can either invite them to Gorgias first or reassign their open tickets to a fallback owner.

Service

Team / Group

maps to

Gorgias

Team

1:1
Fully supported

Support team or group names from your Service platform map to Gorgias Teams. We preserve the team name and membership during migration. If a team name conflicts with a pre-existing Gorgias team, we suffix the name with a qualifier from the source system and surface the conflict in the migration plan for your admin to confirm.

Service

Macro / Auto-Reply Template

maps to

Gorgias

Macro

1:1
Fully supported

Service platform macros do not transfer as data records. We export all macro definitions as JSON (name, body, variable placeholders, and conditions) so your Gorgias admin can rebuild them as Gorgias Macros. The export includes the same variable syntax where we can detect it, reducing rebuild time. Macros are not migrated automatically because the variable substitution syntax differs between platforms.

Service

Workflow / Automation Rule

maps to

Gorgias

Rule

1:1
Fully supported

Workflow rules, trigger conditions, and escalation logic are configuration, not data. We export all rule definitions as a structured JSON file including trigger events, conditions, and actions. Your Gorgias admin can use this as a reference spec when building Gorgias Rules. Any rules tied to custom fields require those fields to be created in Gorgias first (see custom field mapping above).

Service

CSAT / Satisfaction Rating

maps to

Gorgias

Custom Field on Ticket

1:1
Fully supported

Gorgias has no native CSAT field on tickets. Satisfaction survey responses from your Service platform are stored as a custom number or select field on the Ticket after migration. The built-in Gorgias Satisfaction Survey feature must be enabled and configured separately post-migration for ongoing collection.

Service

Tag / Label

maps to

Gorgias

Tag

1:1
Fully supported

Ticket tags from your Service platform migrate to Gorgias Tags on the matching Ticket. We preserve the tag name exactly. Tags that contain special characters are normalized to Gorgias's tag format (lowercase, hyphenated). Duplicate tag names are deduplicated during import.

Service

Source Ticket ID / Case Number

maps to

Gorgias

Custom Field on Ticket

1:1
Fully supported

Gorgias does not preserve the original source ticket ID natively. We store the original Service ticket ID or case number in a custom field (Source_Ticket_ID__c) on each migrated Ticket. This enables delta-run de-duplication and allows your team to cross-reference the original record during the transition period.

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.

Service logo

Service gotchas

Medium

Performance slowness in UI and load times is a documented issue

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

  • Satisfaction ratings have no native home in Gorgias tickets

    Gorgias does not store CSAT, NPS, or star ratings as standard fields on Ticket records. If your Service platform tracks satisfaction scores per case, those values must migrate into a custom number field on the Ticket. The native Gorgias Satisfaction Survey feature is a separate configuration that collects new ratings going forward — it does not backfill historical data from the migration source. We preserve scores as CSAT_Score__c, but your team should enable the Gorgias survey post-migration to capture ongoing feedback.

  • Gorgias API rate limits require paced migration for large datasets

    Gorgias enforces 40 requests per 20 seconds for API-key authentication (the standard integration path) and 80 requests per 20 seconds for OAuth2 apps. Enterprise accounts reduce the window to 10 seconds. For a migration with 20,000 tickets and 60,000 messages, this pacing extends the migration clock considerably. We implement exponential backoff on 429 responses, and we run the migration in off-peak hours to minimize the risk of hitting limits that would delay the delta-pickup window.

  • Macros and rules must be rebuilt from exported definitions

    Gorgias Macros and Rules are platform configuration objects, not data records, so they do not appear in the API's standard resource list the way Tickets and Customers do. We export your Service platform's macro definitions (name, body, variables, conditions) as a JSON spec that your Gorgias admin can use as a reference when recreating them. The translation is not automated because variable substitution syntax differs: Service platforms typically use handlebars-style {{variable}} placeholders, while Gorgias uses its own {{ticket.variable}} syntax.

  • Original created_date and updated_date are not settable in Gorgias

    Gorgias sets Ticket.created_datetime and Ticket.updated_datetime at the time of API insertion — there is no API parameter to backdate these to the original source values. We handle this by storing the original timestamps in custom datetime fields (Original_Created_Date__c and Updated_At_Source__c) on each Ticket. Your reports that depend on creation-date trending will need to reference these custom fields rather than the native timestamps until Gorgias supports retroactive timestamp writes. If your SLA dashboards rely on exact creation times, adjust the metric definitions to pull from the custom fields or schedule a post-migration reconciliation run.

  • Ticket channel metadata requires per-message mapping not per-ticket

    Gorgias models channel at the individual message level (each Message has a channel field), while many Service platforms set channel at the case level. If a ticket spans email back-and-forth that then switches to live chat, Gorgias requires a separate Message record for each channel event. We parse the source conversation thread and split messages into separate Gorgias Message records when channel type changes mid-thread, ensuring the full conversation context is preserved but broken into the correct channel segments.

Migration approach

Six steps for a successful Service to Gorgias data migration

  1. Discover source data model and export definitions

    We connect to your Service platform via API with read-only credentials and inventory all objects: tickets, messages, customers, agents, teams, attachments, custom fields, and tags. We also export macro and rule definitions as JSON. This inventory produces the migration plan that identifies every field that needs mapping, flags custom fields that must be pre-created in Gorgias, and surfaces any agents without email matches or teams with naming conflicts.

  2. Pre-create custom fields and teams in Gorgias

    Before any data lands, we create all required custom fields in Gorgias via the API — Ticket-level and Customer-level. We match field types (string, boolean, date, number, select, multi-select) from the source schema. Teams are created using the Team API with the names and member lists from the source. This step runs first because custom fields must exist before we can write values into them during the migration pass.

  3. Resolve agents by email and flag unresolved owners

    Agents from the source platform are matched to Gorgias Users by email. We create Gorgias Users for matched agents with the appropriate role (agent, admin, observer). Any agent in the source with no email match or no corresponding Gorgias invite is flagged and assigned to a fallback user you designate. No ticket lands without a valid assignee_id in Gorgias. You can review the flagged list in the migration plan and decide whether to invite missing agents before the final pass.

  4. Run a sample migration with field-level diff

    A representative slice of tickets (typically 100–300 records spanning open, pending, resolved, and closed states) migrates first. We generate a field-level comparison showing every source field and its resolved destination value, including custom field values, timestamps, tags, and assignee resolution. You review the diff before the full run commits. Any mapping errors are corrected and the sample re-runs. The sample also verifies that attachment URLs are preserved and that any cross-references to other tickets are updated to the new IDs.

  5. Execute full migration with delta-pickup window

    The full data migration runs at Gorgias's API rate limits with retry logic on 429 responses. A delta-pickup window opens at cutover — any tickets created or updated in the source platform during migration are captured in a second pass within 24–48 hours. After delta-pickup completes, we generate an audit log of all operations. One-click rollback reverts all migrated records if reconciliation fails.

  6. Deliver macro and rule export package

    We deliver the macro and automation rule definitions as structured JSON, organized by rule name and trigger type. This package serves as the reference spec for your Gorgias admin to rebuild rules in Gorgias Rules and Macros. We do not load this configuration automatically because the variable substitution syntax differs between platforms — manual review ensures accuracy. Webhook endpoints that existed in the source platform are surfaced as a separate list for manual recreation.

Platform deep dives

Context on both ends of the pair

Service logo

Service

Source

Strengths

  • Deep ITSM workflow automation across incident, problem, change, knowledge, and request management in one unified platform.
  • Enterprise-grade governance — role-based access controls, ACLs, approval chains, and audit logging.
  • Extensive integration ecosystem connecting to enterprise identity, CMDB, asset, and monitoring systems.
  • Robust customer support for ITSM operations, rated highly by enterprise reviewers.
  • Scoped application architecture lets large enterprises build and deploy custom apps with isolated data domains.

Weaknesses

  • Heavy user interface and occasional performance sluggishness reported across multiple reviews
  • Steep learning curve requiring dedicated administrators and significant training investment
  • Complex pricing structure designed for large enterprises, making cost predictability difficult for smaller organizations
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. 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 Service 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

    Service: Configurable per-instance rate limits. ServiceNow enforces a default inbound transaction quota and inbound API rate limits that admins can tune by user, IP, or system property. HTTP 429 responses signal throttling..

  • Data volume sensitivity

    A

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

Estimator

Estimate your Service 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 Service to Gorgias data migrations

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

Can't find your answer?

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Most migrations complete within 24–48 hours for environments with fewer than 30,000 tickets and standard custom field configurations. Larger datasets or setups with complex multi-segment conversation threads extend the timeline to 5–10 days, primarily because Gorgias's API rate limits (40 req/20 sec for API-key auth) govern the maximum throughput. The longest single step is usually the custom field pre-creation and sample migration review — actual data transfer time depends on total record volume.

Adjacent paths

Related migrations to explore

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