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Gorgias to Power BI

Export Gorgias to Power BI

Load Gorgias support data into Power BI with Coupler.io for advanced help desk analytics and DAX-driven reporting. Build data models that connect ticket activity to business metrics, with automated refreshes pulling from 400+ sources to keep your BI dashboards accurate.

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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

Import Gorgias ticket and customer data into Power BI's modeling layer alongside records from e-commerce tools, billing systems, or CRMs. Create relationships between support activity and revenue data to measure how service quality affects the bottom line.

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

Prepare help desk exports for Power BI analysis before they land in your data model. Apply filters, adjust column types, and aggregate records so your DAX calculations run on clean, structured inputs from the start.

Automate data refresh on a custom schedule

Keep Power BI reports and data models fed with fresh Gorgias data through automated pipelines. Schedule refreshes at monthly, daily, hourly, 30-minute, or 15-minute intervals to match your reporting cadence.

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

Get answers from your support data without writing DAX formulas or building new report pages. Coupler.io AI integrations let you ask plain-language questions and receive insights drawn directly from the same Gorgias data that powers your BI dashboards.

Why export Gorgias to Power BI - real life cases

Support KPI scorecards with DAX calculations

Build Power BI scorecards that calculate first response time, resolution rate, and tickets per agent using DAX measures. Set conditional formatting to flag when metrics drift outside acceptable ranges.

Cross-source support and revenue modeling

Combine Gorgias ticket data with order and payment records in Power BI to model the cost of support per transaction. Identify product lines that generate the most tickets relative to revenue.

Agent and team performance benchmarking

Create Power BI data models that rank agents and teams by resolution speed, satisfaction scores, and ticket throughput. Use slicers to compare performance across time periods or issue categories.

SLA compliance monitoring

Load ticket timestamps into Power BI and calculate SLA adherence rates with DAX. Build alert visuals that highlight breached tickets and surface the root causes behind missed targets.

How to export Gorgias to Power BI

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. Load data to Power BI following the in-app instructions

30 seconds

Step 4. Schedule data refresh to automate data flow from Gorgias to Power BI

10 seconds

Automate data exports with the no-code Gorgias Power BI integration

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Talk to AI about your Gorgias data

Power BI dashboards give you structured views of support performance, but ad-hoc questions often need a faster path than building a new report page. Coupler.io AI integrations connect your Gorgias data to AI tools for conversational exploration that works alongside your existing BI setup. Ask a question, get an answer, and decide whether it warrants a new DAX measure or visual.

For quick checks that do not need an external tool, Coupler.io AI Agent handles it right inside the platform. Type a question in plain language and get verified answers on the spot. AI Agent is powered by Coupler.io's Analytical Engine, which queries your data, performs calculations, and validates results before returning a response.

Examples of questions you can ask about Gorgias data:
"What is the average number of messages per ticket for each support channel over the past 60 days?"
"Which agents resolved the most tickets last month while maintaining satisfaction scores above 80%?"
"Compare week-over-week ticket volume for the past eight weeks and flag any weeks with more than a 20% increase."
"What are the three most common tags on tickets that took longer than 48 hours to resolve?"

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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