Migrate your Glassix data
Omnichannel customer communication platform with built-in voice infrastructure, AI chatbots, and unified inbox across messaging, chat, email, and social channels for support, sales, and marketing teams.
In its favor
Why people choose Glassix
The signal that keeps Glassix on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Built-in voice infrastructure eliminates third-party telephony dependencies like Twilio, reducing costs by up to 40% and lowering latency compared to platforms that bolt voice on top of digital channels.
AI chatbot handles 24/7 first-response support across WhatsApp, Apple Messages, and social channels with measurable resolution rates and customer satisfaction scoring.
Unified inbox consolidates all messaging channels into a single view, giving teams visibility into first response time per channel and chatbot performance.
Advanced reporting and real-time dashboards surface actionable insights on agent performance, channel metrics, and AI resolution rates that smaller teams previously lacked.
Clean, intuitive interface makes it easy for small teams and non-technical users to configure AI chatbots without a steep learning curve.
Over-reliance on automated responses and AI processes can lead to impersonal customer experiences that alienate users who prefer human interaction.
Support response times frustrate customers when issues arise, with acknowledged slowdowns acknowledged in official responses from Glassix leadership.
Limited customization of reporting and analytics compared to enterprise platforms forces data-savvy teams to export data for analysis elsewhere.
API access restrictions on Starter and Growth tiers block integration-heavy workflows and prevent customers from building custom automation without upgrading.
Reasons to switch
Why people leave Glassix
The recurring reasons buyers give for replacing Glassix. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Glassix fits
Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.
SWOT — strengths, weaknesses, and use-case fit
Strengths
Weaknesses
Where it works
Where it struggles
Pricing tiers
Glassix pricing overview
Glassix uses per-user monthly pricing with Starter at $41.65/user, Growth at $65/user, and Enterprise requiring a custom quote. AI capabilities are add-ons on Growth and Enterprise tiers rather than core inclusions, and API access is gated by tier—Starter has none.
Starter
Tier 1 of 3
$499.80 one-time ($41.65/user/month)
What's included
Need help selecting your Helpdesk?
Book a free 30 minute consultationPricing is informational. FlitStack AI does not bill on Glassix's schedule — see our quote-based pricing →
What gets migrated
Glassix object support
Object-by-object support for Glassix migrations. Per-pair details surface during scoping.
Tickets
Fully supportedTickets are the core object in Glassix, carrying status, priority, assignee, department, and channel origin. We migrate ticket records with full field fidelity including custom fields via the setFields endpoint. Rate limits on Growth tier require chunked extraction.
Customers (Contacts)
Fully supportedCustomer profiles store contact details, interaction history, and channel preferences. We map Customers to Contacts or Leads in the destination CRM, preserving any channel opt-in flags.
Agents (Users)
Mapping requiredAgent records include name, email, role, department assignment, and availability status. We map Agents to Users in the destination platform, handling differences in role terminology and department structure.
Conversations (Messages)
Fully supportedConversations are threaded message records attached to Tickets and Customers. We preserve full message chronology including internal notes, attachments, and timestamp sequences.
Channels
Mapping requiredGlassix Channels define the communication medium (email, chat, WhatsApp, Facebook, Instagram, Apple Messages). We map channel types to equivalent integrations in the destination platform.
AI Chatbots
Mapping requiredChatbot configurations include trigger rules, response templates, and training data. We extract chatbot logic and map it to equivalent automation rules or bot builders in the destination.
Custom Fields (Tickets)
Mapping requiredCustom fields extend the Ticket object with customer-defined properties. We identify custom field schemas during scoping and map them to equivalent custom properties or note fields in the destination.
Workflows (Automation Rules)
Mapping requiredWorkflows automate ticket routing, escalation, and responses based on conditions. We map workflow rules to automation constructs in the destination, flagging any unsupported trigger types.
Departments
Fully supportedDepartments group agents and tickets for organizational routing. We create equivalent department structures in the destination and remap agent assignments.
Reports (Analytics)
Not in this platformGlassix analytics dashboards (response times, CSAT, resolution rates) are rendered data, not raw records. We do not migrate historical analytics; we document the schema so customers can rebuild dashboards in the destination.
KB Articles
Mapping requiredKnowledge base articles power chatbot responses and self-service. We export article content, categories, and associations, mapping them to KB structures in the destination.
| Object | Support | Notes |
|---|---|---|
| Tickets | Fully supported | Tickets are the core object in Glassix, carrying status, priority, assignee, department, and channel origin. We migrate ticket records with full field fidelity including custom fields via the setFields endpoint. Rate limits on Growth tier require chunked extraction. |
| Customers (Contacts) | Fully supported | Customer profiles store contact details, interaction history, and channel preferences. We map Customers to Contacts or Leads in the destination CRM, preserving any channel opt-in flags. |
| Agents (Users) | Mapping required | Agent records include name, email, role, department assignment, and availability status. We map Agents to Users in the destination platform, handling differences in role terminology and department structure. |
| Conversations (Messages) | Fully supported | Conversations are threaded message records attached to Tickets and Customers. We preserve full message chronology including internal notes, attachments, and timestamp sequences. |
| Channels | Mapping required | Glassix Channels define the communication medium (email, chat, WhatsApp, Facebook, Instagram, Apple Messages). We map channel types to equivalent integrations in the destination platform. |
| AI Chatbots | Mapping required | Chatbot configurations include trigger rules, response templates, and training data. We extract chatbot logic and map it to equivalent automation rules or bot builders in the destination. |
| Custom Fields (Tickets) | Mapping required | Custom fields extend the Ticket object with customer-defined properties. We identify custom field schemas during scoping and map them to equivalent custom properties or note fields in the destination. |
| Workflows (Automation Rules) | Mapping required | Workflows automate ticket routing, escalation, and responses based on conditions. We map workflow rules to automation constructs in the destination, flagging any unsupported trigger types. |
| Departments | Fully supported | Departments group agents and tickets for organizational routing. We create equivalent department structures in the destination and remap agent assignments. |
| Reports (Analytics) | Not in this platform | Glassix analytics dashboards (response times, CSAT, resolution rates) are rendered data, not raw records. We do not migrate historical analytics; we document the schema so customers can rebuild dashboards in the destination. |
| KB Articles | Mapping required | Knowledge base articles power chatbot responses and self-service. We export article content, categories, and associations, mapping them to KB structures in the destination. |
Gotchas
What to watch for in Glassix migrations
Issues we've hit on past Glassix migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
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
| Severity | Issue |
|---|---|
| High | Starter tier blocks all API access during migration |
| Medium | Rate limits vary significantly by subscription tier |
| Medium | AI capabilities are add-on pricing, not core tier inclusion |
Leaving Glassix?
Where Glassix customers move next
7 destinations Glassix can migrate to.
How a Glassix migration works
Four steps, Glassix-specific
Connect
API key + bearer access token (rotated every 3 hours) per docs.glassix.com into Glassix. Scopes limited to read-only on the data we move.
Map
We translate Glassix-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Glassix quirks before production.
Migrate
Full migration with Glassix rate-limit handling. Rollback available throughout.
FAQ
Glassix migration FAQ
Answers to the questions buyers ask most during Glassix migration scoping. Not seeing yours? Book a call.
Can't find your answer?
Walk through your Glassix migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationOther helpdesks we support
Ready when you are
Migrate Glassix.
Without the rebuild.
Free scoping call with a migration engineer. Tell us about your Glassix setup and destination — written quote back within a business day.