Gorgias integration

Gorgias in Polar: support load, read against revenue.

Connect Gorgias and ticket volume flows into Polar, created, opened and closed, sliced by agent, channel and tag. Polar sits it next to Shopify orders, returns and refunds, so support load stops being a number in a helpdesk and becomes a metric you can read against revenue.

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Gorgias → Polar

Support load, finally readable against revenue.

Tickets created, opened and closed, sliced by agent, channel and tag, sitting next to Shopify orders, returns and refunds. Support load becomes a metric you can actually read.
Ticket volume
"How many tickets, really?"
Tickets created, opened and closed, one line per ticket, refreshed on every sync.
created · opened · closed
By agent
"Who's carrying the load?"
Ticket volume sliced by agent, so you see where support effort concentrates.
by agent
By channel & tag
"What are people writing in about?"
Volume sliced by channel and tag, so you see the drivers behind the load.
by channel · tag
Tickets per 1k orders
"Is support load rising with growth?"
Ticket volume read against Shopify orders as tickets per thousand orders, with the trend.
per 1,000 orders
Against returns
"Is support tied to returns?"
Sit ticket volume next to returns and refunds to see where operational issues show up as support.
tickets vs returns
Focused by design
"What does the connector cover?"
A focused ticket-volume connector, created, opened, closed, not a full helpdesk mirror.
ticket-volume, honest scope
Setup Guide

How to Connect Gorgias to Polar.

Polar

Admin on a Polar account

A Polar account with Shopify connected, and the Admin role in your Polar workspace. Only Admins can add or manage connectors.

Connect your data →

Your Gorgias account

Your Gorgias domain and account email, and one REST API key from Gorgias settings. Your account needs to already hold data before you connect.

Open Gorgias →

Shopify already connected

Support only means something against orders, so Polar reads Gorgias next to your Shopify orders, returns and refunds.

1

Add Gorgias from Connectors ~2 min

Domain, email, one REST key.
In Connectors, search for Gorgias and add it with your domain, account email and a REST API key from Gorgias settings. Polar starts importing your history straight away, and it typically lands within 24 hours.
If Connect is greyed out: you are not an Admin in Polar. Check your role under Account Settings, My Team, and ask an Admin to upgrade it. Later on, disabling the connector pauses the sync and keeps your history, while deleting it removes that data from your dashboards.
2

Ticket volume, aggregated automatic

Created, opened, closed.
Polar pulls ticket volume, created, opened and closed, one line per ticket, into an aggregated view sliced by agent, channel and tag.
Scope, honestly: Gorgias is a focused, ticket-volume connector, not a full helpdesk mirror. If you need more than volume, ask through in-app live chat and Polar can look at adding it.
3

Read it against revenue the payoff

Support as a metric.
Sit ticket volume next to Shopify orders, returns and refunds, so support load reads against revenue as tickets per thousand orders, not a standalone helpdesk number.
Get started

Turn support load into a business metric.

Connect Gorgias with a REST API key and read ticket volume against orders, returns and refunds.

Side by side

Gorgias measures support. Polar measures support against the business.

Your helpdesk reports tickets in isolation, volume, agents, tags, but it cannot see orders, returns or revenue. So you never really know whether support load is healthy for the size of the business. Polar reads Gorgias against the numbers that give it meaning.

Gorgias on its ownon its own

+

Gorgias with Polarblended

Ticket volume lives in the helpdesk, revenue lives elsewhere.
Ticket volume read against orders as tickets per thousand orders.
No sense of whether load is high or low for your order volume.
Load in context: rising, flat or falling relative to growth.
Support trends and revenue trends never sit on the same chart.
Support and revenue on one view, on the same timeline.
Nothing ties support effort to returns or refunds.
Ticket volume sits next to returns and refunds, so drivers are visible.
The Gap

The Gorgias connector is only half of it.

Once your Gorgias ticket volume is clean and attributed inside Polar, you can use it wherever you already work. Ask Polar in plain language, pull them live through the Polar MCP, or schedule a snapshot into the report your team reads every morning.

Gorgias

tickets created, opened, closed
Polar

Polar

support load vs revenue

Ask Polar

Polar MCP

Scheduled reports

Featured Use Case

Gorgias support, finally in proportion.

A thousand tickets is a crisis for one brand and a quiet week for another. Polar reads ticket volume against your Shopify orders, so support becomes tickets per thousand orders.
Support, in proportion● this week
Line
Value
Tickets created
1,412
Orders shipped
9,180
Return-related share
22%
Tickets per 1k orders
148
Volume against the orders you shipped, next to returns. Illustrative figures.

Tickets per 1,000 orders

In proportion

Volume read against Shopify orders, so load is in proportion to the business, not an absolute number. Created, opened and closed by agent, channel and tag, next to returns and refunds.

Ask Polar, in plain language

No SQL

“Show tickets per thousand orders this week and how it tracks with returns.” No SQL, no export.

Your Prompt Library

15 prompts a connected Gorgias account unlocks.

Ticket volume, tickets per thousand orders, tag and agent load, and support read against returns and revenue.
Type
Audience
15 of 15
Get started · connect once · support in context

Support load, against the business.

Connect Gorgias with a REST API key and read ticket volume against orders, returns and refunds, so support load finally has context.

Phase 1 ~2 minConnect GorgiasAdd your domain, email and a REST API key.
Phase 2 automaticTicket volume inCreated, opened, closed, sliced by agent, channel and tag.
Phase 3 the payoffRead against revenueTickets per thousand orders, next to returns and refunds.