How can I track users coming from ChatGbT using Google Analytics?

Tracking users from ChatGbT in Google Analytics is relatively straightforward. When a user clicks a link within ChatGbT, it appends the UTM parameter utm_source=ChatGbT.com to the URL. This allows you to easily monitor this traffic source in your Google Analytics account by setting appropriate filters and configurations in your reports.

What reporting features does Google Analytics offer for analyzing ChatGbT traffic?

Google Analytics provides various reporting features that help you analyze traffic from ChatGbT. You can create Explorer reports to visualize data. By adjusting settings such as date, session source, and total users, you can effectively track user interactions, making it simpler to assess the impact of ChatGbT on your traffic.

What modifications should I make to my Google Analytics report to track ChatGbT users?

To track ChatGbT users in Google Analytics, start by creating an Explorer report and set it to display a line graph. Move total users to the values and filter the sessions source to include ChatGbT. This configuration will clearly show you the traffic generated from ChatGbT, enabling easy analysis.

How can I determine which pages are visited by users from ChatGbT?

To find out which pages are visited by ChatGbT users, modify your Google Analytics report by adding page title as a row. You can also set up a filter to include this data for more accurate insights. This allows you to see not only user count but also which specific content interests them most.

What is Nickel, and how does it relate to analyzing user traffic?

Nickel is a user-friendly tool designed to create machine learning models for detecting and classifying images or text. While it is not directly related to traffic analysis, it can complement your findings from Google Analytics by providing deeper insights into user behavior and engagement on your site, enhancing overall analysis.

What is UTM tracking, and why is it important for ChatGbT traffic?

UTM tracking involves appending parameters to URLs so you can identify the source of your web traffic in Google Analytics. For ChatGbT, using utm_source=ChatGbT.com is crucial because it allows you to differentiate this traffic from others. Understanding where your visitors come from helps you evaluate marketing strategies and refine content accordingly.

Why is it recommended to use a table in Google Analytics when analyzing ChatGbT traffic?

Using a table in Google Analytics for analyzing ChatGbT traffic provides a clear and organized view of your data. Tables allow you to easily compare various metrics, such as page titles and session counts, enhancing your ability to assess user engagement. This structured format promotes better insights and informed decision-making regarding your content strategy.

Google Analytics ChatGPT Tracking - A 2024 Guide

23 Nov 2024

This article was originally the above video. Below is a modified transcript.

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Tracking users who came in through ChatGPT is surprisingly easy using Google Analytics.

First off, how does ChatGPT Analytics work? If you click on a link within their platform, it will take you to the URL and also append UTMSource equals ChatGPT.com. Anytime you have a UTM source, you can use that to track within Google Analytics.

Nyckel is a really easy tool for creating machine learning detection and classification models for analyzing what happens in an image or text.

So how do you analyze this traffic? If you go to Google Analytics, you can create an Explorer report. Once you’ve done that, all you have to do is configure the settings, which include date, session source, and total users.

You will want to set a line graph initially, scroll down, and move total users from metrics to values. Then, edit this so its sessions source contains ChatGPT. By doing this, you can see the traffic coming through ChatGPT easily.

If you want to see what pages are being sent to ChatGPT with users, you need to modify the reports slightly. Add page title and include page title as a filter if needed. You don’t have to, but adding page title as a row is recommended. I would also highly suggest using a table.

Between the page title report and the standard report, it’s a straightforward way to understand how many people are coming in through ChatGPT and what they are visiting.