SUPPORT

Analyze your Gorgias data in plain English.

Connect Gorgias support tickets, especially useful alongside Shopify order data.

Gorgias data analysis questions

→ "Which SKUs generate the most support tickets per 100 orders?"
→ "Show me support volume by channel — email vs chat vs social."
→ "Find customers who escalated to refund after a support ticket."
→ "Compare support team response time by shift."
→ "Build me a dashboard linking ticket topics to order issues."

How to connect

Sign in to Tablize and open the Integrations page in your workspace.
Pick Gorgias and follow the OAuth flow (or paste an API key, depending on the connector).
Run your first sync. Tablize pulls historical data and sets up an incremental cursor so future syncs stay fresh.
Open a new chat and ask your first question. Tablize already knows the schema.

What lands in your workspace

tickets Gorgias tickets with channel, status, assignee, customer.

messages Message records across email, chat, and social.

Common workflows

Ticket-to-refund pipeline

Weekly: tickets that ended in a refund, grouped by root cause for ops review.

Every Gorgias ticket is a signal about the product. Tablize clusters them by topic, ties them back to the orders or SKUs that caused them, and tells you which emerging issue is growing fastest this week.

Once Gorgias is authorized, tables like tickets and messages sync into a dedicated schema in your workspace’s PostgreSQL — incrementally, so only new and changed rows move after the first backfill. Ask something like “Which SKUs generate the most support tickets per 100 orders?” and Tablize writes the SQL, runs it, draws the chart, and offers to keep the answer as a report, a scheduled script, or a live dashboard.

A setup teams reach for first — Ticket-to-refund pipeline: Weekly: tickets that ended in a refund, grouped by root cause for ops review.

Try Gorgias with Tablize.

Free to try on your own data. Your first answer in under 60 seconds.

Try free with your data