Helpdesk migration
Field-level mapping, validation, and rollback between Glassix and Gorgias. We move data and schema; workflows are rebuilt natively in Gorgias.
Glassix
Source
Gorgias
Destination
Compatibility
9 of 12
objects map 1:1 between Glassix and Gorgias.
Complexity
BStandard
Timeline
1-2 weeks
Overview
Moving from Glassix to Gorgias means trading an omnichannel communication platform built for messaging-first teams for a helpdesk purpose-built for ecommerce brands with deep Shopify integration. The migration surfaces several structural differences: Glassix organizes interactions as Tickets flowing through Channels (email, chat, WhatsApp, social) into a unified inbox, while Gorgias uses a flat Ticket model with channel metadata attached. Glassix REST API access is tier-gated—Starter workspaces have zero API access and Growth tier has limited endpoints—so scoping must confirm the Glassix tier before any migration plan is designed. We sequence Customer records first (as Gorgias Customers), then Agent mapping (as Gorgias Users), then Ticket migration with full conversation history attached. Custom fields on Glassix Tickets map to Gorgias Ticket and Customer custom fields using the Gorgias custom-fields API. AI chatbot configurations, Workflow automation rules, and Glassix Departments do not migrate as code; we deliver a written inventory for the customer's admin to rebuild in Gorgias Automate or as Teams.
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 Glassix 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.
Glassix
Tickets
Gorgias
Tickets
1:1Glassix Tickets map directly to Gorgias Tickets. The Glassix ticket status (open, pending, resolved, closed), priority (low, medium, high, urgent), assignee, department, and channel origin migrate as typed fields in Gorgias. We use the Gorgias POST /tickets endpoint with the ticket data structured as {subject, status, priority, channel, assignee_email, tags, custom_fields}. If Glassix tickets carry an external_id reference, we preserve it in a custom field glassix_ticket_id__c for audit traceability.
Glassix
Customers
Gorgias
Customers
1:1Glassix Customer profiles (name, email, phone, channel preferences, interaction history) map to Gorgias Customers. We extract the Glassix customer email as the primary key and resolve it against Gorgias existing customers to avoid duplicate creation. Channel opt-in flags migrate to the corresponding Gorgias channel metadata fields. If Glassix Customers reference a company record, we create a matching organization in Gorgias before importing customers to satisfy the organization_id lookup.
Glassix
Agents
Gorgias
Users
1:1Glassix Agents (name, email, role, department, availability status) map to Gorgias Users. We match by email as the dedupe key. The Glassix agent role maps to Gorgias permission levels (agent, admin) with a custom field glassix_role__c preserving the original role name. Department mapping is covered separately—Glassix Departments map to Gorgias Teams, and the agent's department membership is recreated via the Gorgias team-user assignment after Users are created.
Glassix
Conversations (Messages)
Gorgias
Ticket Comments
1:1Glassix Conversations are threaded message records attached to Tickets. We migrate each Glassix conversation entry as a Gorgias Ticket Comment using the POST /tickets/{id}/messages endpoint. Internal notes (agent-to-agent) are differentiated from customer-facing messages using the public boolean flag. Attachment URLs migrate as Gorgias attachment references. The message chronology is preserved by setting the comment timestamp to the original Glassix created_at value. This is the most data-dense step: a Glassix workspace with 10,000 tickets and an average of 6 message entries each generates approximately 60,000 comment inserts.
Glassix
Channels
Gorgias
Ticket Channel field
lossyGlassix Channels (email, chat, WhatsApp, Facebook, Instagram, Apple Messages, voice) map to the Gorgias channel attribute on Tickets. Voice channel tickets from Glassix cannot natively carry call recordings into Gorgias unless the Gorgias Voice add-on is active on the destination; we flag any voice-channel ticket and note the recording attachment path for manual handoff. SMS and WhatsApp tickets migrate with channel metadata intact if the equivalent Gorgias integration is configured.
Glassix
Custom Fields (Tickets)
Gorgias
Custom Fields (Tickets)
1:1Glassix custom fields on Tickets (defined via setField) map to Gorgias Ticket custom fields. We query the Glassix workspace for custom field definitions during scoping, then create matching Gorgias custom fields via the POST /custom-fields endpoint with object_type=Ticket before migration begins. Field types are matched: string to string, number to number, boolean to boolean, date to date. Multi-select fields on Glassix become multi-select picklists in Gorgias. The custom field mapping is validated in a pre-migration field audit so no data is dropped during the ticket import phase.
Glassix
Custom Fields (Customers)
Gorgias
Custom Fields (Customers)
1:1Glassix customer-level custom fields (used for contact preference tracking, CRM data, or segmentation) map to Gorgias Customer custom fields via POST /custom-fields with object_type=Customer. We identify the customer custom field schema during scoping and pre-create all destination fields so that the customer import phase has no drop-on-insert failures. Customer custom field data types follow the same string/number/boolean/date mapping rules as ticket custom fields.
Glassix
Departments
Gorgias
Teams
1:1Glassix Departments group agents and tickets for organizational routing. We map each Glassix Department to a Gorgias Team created via the POST /teams endpoint before agent migration. The department-agent assignment in Glassix becomes a team-user assignment in Gorgias. If Glassix Departments carry routing rules (auto-assign to department on channel trigger), we document those as Automate rules to rebuild in Gorgias since automation rules do not migrate as code.
Glassix
KB Articles
Gorgias
Knowledge Base Articles
1:1Glassix Knowledge Base articles (used for chatbot responses and self-service) export as content, categories, and associations. We map article titles, body content, category assignments, and publication status to Gorgias Help Center articles via the Gorgias Help Center API. Article-to-category hierarchy migrates as folder structure in Gorgias. We do not migrate article view counts, SEO metadata, or version history—these are rendered data with no exportable storage in Glassix.
Glassix
AI Chatbots
Gorgias
Automate Rules
lossyGlassix AI chatbot configurations (trigger rules, response templates, training data, and automated response rules) are extracted as a structured configuration document. There is no direct API endpoint for chatbot logic export on Growth-tier workspaces. We pull available response templates and routing rules via the Glassix REST API where accessible, and document the full chatbot workflow for the customer's admin to rebuild in Gorgias Automate or as AI Agent training intents. This is a configuration rebuild, not a data migration—the chatbot logic itself does not transfer programmatically.
Glassix
Workflows (Automation Rules)
Gorgias
Automate Rules
lossyGlassix Workflows (conditional ticket routing, escalation, and auto-response rules) map to Gorgias Automate rules. We extract the workflow trigger (channel, condition, time-based), the condition logic (field equals, contains, priority thresholds), and the resulting action (assign, tag, status change, auto-reply). Because workflow logic does not migrate as code, we deliver a written inventory of every active Glassix Workflow with its trigger conditions, actions, and a recommended Gorgias Automate equivalent. The customer's admin rebuilds these in Gorgias Automate post-migration.
Glassix
Reports (Analytics)
Gorgias
Reports
1:1Glassix analytics dashboards (response times, CSAT scores, resolution rates, channel performance metrics) are rendered data stored as UI aggregates rather than raw records. We do not migrate analytics. We deliver a data dictionary documenting the Glassix report schema (metric names, calculation logic, time granularity) so the customer's admin can rebuild equivalent dashboards in Gorgias reporting or a connected BI tool. Historical CSAT scores that exist as individual ticket-level custom fields migrate as part of the ticket custom field mapping described above.
| Glassix | Gorgias | Compatibility | |
|---|---|---|---|
| Tickets | Tickets1:1 | Fully supported | |
| Customers | Customers1:1 | Fully supported | |
| Agents | Users1:1 | Fully supported | |
| Conversations (Messages) | Ticket Comments1:1 | Fully supported | |
| Channels | Ticket Channel fieldlossy | Mapping required | |
| Custom Fields (Tickets) | Custom Fields (Tickets)1:1 | Mapping required | |
| Custom Fields (Customers) | Custom Fields (Customers)1:1 | Fully supported | |
| Departments | Teams1:1 | Fully supported | |
| KB Articles | Knowledge Base Articles1:1 | Mapping required | |
| AI Chatbots | Automate Ruleslossy | Mapping required | |
| Workflows (Automation Rules) | Automate Ruleslossy | Mapping required | |
| Reports (Analytics) | Reports1:1 | Not 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.
Glassix gotchas
Starter tier blocks all API access during migration
Rate limits vary significantly by subscription tier
AI capabilities are add-on pricing, not core tier inclusion
Gorgias gotchas
AI Agent adds outcome-based fees on top of billable ticket costs
Overage billing for tickets scales nonlinearly
API rate limits restrict bulk export throughput
Agent data visibility cannot be restricted by role for GDPR use cases
Knowledge Base translations require separate API calls per locale
Pair-specific challenges
Migration approach
Tier confirmation and API access audit
We confirm the Glassix workspace tier (Starter, Growth, or Enterprise) via Settings > Developers > API Keys. If the workspace is on Starter, we flag that API access is unavailable and advise a Growth or Enterprise upgrade before migration scoping begins. On Growth tier we test the available endpoints (tickets, customers, agents, conversations) against the actual workspace data to measure API capacity and pagination behavior. We also confirm whether the AI chatbot add-on is active, which affects chatbot configuration extraction scope.
Source data inventory and custom field schema audit
We enumerate all Glassix objects available via API: ticket count, customer count, agent count, conversation message density, custom field definitions on tickets and customers, department count, KB article count, and active workflow count. For each custom field we record the field name, data type, and whether it is a required or optional field in Glassix. This inventory determines the pre-migration custom field creation phase in Gorgias (POST /custom-fields for both Ticket and Customer object types) and informs the overall migration timeline estimate.
Destination schema creation in Gorgias
Before any data moves, we create the target schema in Gorgias. This includes pre-creating all Ticket and Customer custom fields (with correct data types matching Glassix), creating Teams (mapped from Glassix Departments), provisioning Users (matched by email from Glassix Agents), and configuring the Knowledge Base structure (mapped from Glassix KB categories). Channel integrations (WhatsApp, Facebook, Instagram, email) are enabled in Gorgias Settings > Channels to ensure the channel metadata on migrated tickets is valid. We run this schema creation against a Gorgias Sandbox if the customer has an Enterprise plan; otherwise against the production workspace with a rollback plan.
Sample migration and reconciliation
We run a sample migration of the most recent 100-200 Glassix tickets (including conversation history, customer records, and custom field data) into Gorgias. The customer's team spot-checks 20-30 records against the Glassix source to validate ticket subject accuracy, conversation chronology, custom field values, and agent assignment. Any mapping corrections (field name mismatches, type errors, lookup resolution failures) are resolved in the sample phase before the full migration begins. This step is the last opportunity to adjust the field mapping without impacting production data.
Full production migration in dependency order
We execute production migration in record-dependency order: Teams (departments) first, then Users (agents), then Customers (with organization resolution), then Tickets with full conversation history attached as Comments, then KB articles. Custom field values are inserted inline during each record phase. We monitor Glassix API rate limit responses (429 Too Many Requests) and implement exponential backoff tuned to the detected tier. The Gorgias Bulk API is used for high-volume ticket inserts where batch endpoints are available. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, delta sync, and automation rebuild handoff
We freeze Glassix writes during the cutover window, run a final delta migration capturing any records created or modified during the migration, then enable Gorgias as the system of record. We deliver the Workflow and AI chatbot configuration inventory document to the customer's admin team with recommended Gorgias Automate and AI Agent equivalents for each Glassix workflow. We do not rebuild Glassix Workflows or chatbot configurations as Gorgias Automate rules inside the migration scope; that is a separate configuration engagement. A 72-hour hypercare window covers reconciliation of any record-level data issues surfaced post-cutover.
Platform deep dives
Glassix
Source
Strengths
Weaknesses
Gorgias
Destination
Strengths
Weaknesses
Complexity grading
Standard Helpdesk migration. 3 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Glassix and Gorgias.
Object compatibility
3 of 7 objects need a mapping; the rest are 1:1.
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
Glassix: Max 30 token requests/min across all tiers; per-endpoint per-minute and per-hour limits vary by tier — returns 429 Too Many Requests when exceeded.
Data volume sensitivity
Glassix 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
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