Gorgias to BigQuery

Export Gorgias to BigQuery

Load Gorgias help desk data into BigQuery with Coupler.io for SQL-powered support analytics at any scale. Join ticket records with data from 400+ sources, run queries across millions of rows, and build a warehouse that grows with your support operation.

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What data you can export from Gorgias?

Accounts

This entity represents the top-level Gorgias account, containing key information and settings for your help desk.
Customers

This entity represents your customer profiles, which include their contact information and a history of their interactions with your support team.
Custom fields

This entity represents custom data fields you have created to store unique information on tickets or customer profiles.
Events

This entity represents the various activities and occurrences within Gorgias, such as a ticket being created, a message being sent, or a status being changed.
Integrations

This entity represents the third-party applications and services that are connected to your Gorgias account.
Jobs

This entity provides information on background jobs and their status, such as bulk imports or exports.
Macros

This entity represents saved responses or automations that can be used to quickly reply to common customer inquiries.
Views

This entity represents custom views or filters for tickets, allowing users to organize and prioritize their work.
Rules

This entity represents the automation rules you have created to perform actions based on specific triggers, such as automatically assigning a ticket or adding a tag.
Satisfaction surveys

This entity represents the satisfaction survey data collected from customers after their support ticket is closed.
Tags

This entity represents the tags used to categorize and organize tickets.
Teams

This entity represents the different teams or groups of users within your Gorgias account.
Tickets

This entity is a core record representing a customer's support request. It tracks the entire communication history and status of the issue.
Messages

This entity represents the individual messages that make up a ticket, including emails, chat messages, and social media posts.
Users

This entity represents the individuals within your organization who use Gorgias, such as support agents and managers.
Views items

This entity provides a detailed list of the tickets that are included in a specific view.

All-in-one tool for Gorgias data exports and analytics

Collect data from Gorgias and enrich it with information from other sources

Send Gorgias data to BigQuery and join it with e-commerce orders, payment records, or CRM tables already sitting in your warehouse. Coupler.io handles the ingestion so your analysts can focus on writing queries, not building pipelines.

Organize raw Gorgias data in the form of a ready-to-use data set

Transform raw help desk exports into properly typed, well-structured tables before they reach BigQuery. Apply filters, drop unnecessary columns, and standardize formats in Coupler.io so your warehouse schema stays clean from day one.

Automate data refresh on a custom schedule

Run automated pipelines that keep BigQuery tables in sync with your Gorgias account. Refresh intervals range from monthly to every 15 minutes, with daily, hourly, and 30-minute options available depending on how fast your support data needs to land.

Connect Gorgias data to AI to query and analyze data using natural language conversations

Skip the SQL for quick questions. Coupler.io AI integrations let you ask about your Gorgias data in plain language and get answers without opening a query editor. Use it for fast checks when a full SQL query feels like overkill.

Why export Gorgias to BigQuery - real life cases

Cross-source support analytics at scale

Join Gorgias tickets with Shopify orders, Stripe payments, or Salesforce accounts in BigQuery. Write SQL queries that answer questions no single tool can handle, like which product categories generate the most support cost per dollar of revenue.

Historical trend analysis over large datasets

Store months or years of Gorgias ticket history in BigQuery and query it without performance limits. Identify long-term shifts in ticket volume, resolution times, and satisfaction that weekly reports miss entirely.

Custom reporting for data teams

Give analysts direct SQL access to Gorgias data in a warehouse they already know. Build custom views, scheduled queries, and downstream transformations that feed dashboards, alerts, or machine learning models.

Multi-brand or multi-instance consolidation

Pull Gorgias data from multiple accounts or brands into a single BigQuery dataset. Compare support metrics across business units using SQL, without manually exporting and merging spreadsheets.

How to export Gorgias to BigQuery

Step 1. Connect to your Gorgias account and select the data to export

30 seconds

Step 2. Organize data using transformation options such as filters, column management, aggregation, etc.

30 seconds

Step 3. Connect your BigQuery project and specify where to load your data

30 seconds

Step 4. Schedule data refresh to automate data flow from Gorgias to BigQuery

10 seconds

Automate data exports with the no-code Gorgias BigQuery integration

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Talk to AI about your Gorgias data

SQL gives you precision. AI gives you speed. Coupler.io AI integrations let you connect the same Gorgias data that sits in BigQuery to AI tools like Claude and Gemini for conversational exploration. Use AI when you need a fast directional answer, then follow up with SQL when you need exactness.

There is also a faster path that skips both SQL and external AI setup. Coupler.io AI Agent answers plain-language questions about your Gorgias data directly inside the platform. Powered by Coupler.io's Analytical Engine, it queries the data, runs calculations, and validates every result before delivering an answer.

Examples of questions you can ask about Gorgias data:
"What is the average ticket resolution time per product tag for the last 90 days, and which tags are above the overall median?"
"Show me the month-over-month trend in new tickets by channel since the start of the year."
"Which agents handle the highest volume of tickets tagged 'refund' and what are their satisfaction scores on those tickets?"
"How many customers submitted tickets across more than one channel last quarter?"

Customer success stories

At Coupler.io, our mission is simple: to help our customers succeed by unlocking the full potential of their data. Check out how using Coupler.io has helped businesses like yours scale and achieve better ROI.

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