How to Measure Page Scroll With Google Analytics

By on January 29, 2020

Content marketing is one of the hardest forms of online marketing. From finding the right topics that suit your target audience, to researching them, writing and later promoting the articles, one word comes to mind – Hard.

And after spending so much time on researching and writing a blog post, it’s natural that authors and content marketers would like to know if users are actually reading their articles or not, and if they do, how much they read 재즈 명곡.

While Google Analytics tracks the views a particular page gets, you can’t tell if users who viewed that page actually read it or they just loaded the article and exited. In order to see this, scroll tracking would have to be installed on your site.

Unfortunately, this tracking does not come with the default Google Analytics install but if you are using GTM, you are in luck as you can get this tracking working relatively quickly with Google Tag Manager.

So in this article, we will help you learn how to install scroll tracking with Google Tag Manager to further improve your Google Analytics content marketing tracking computer wallpapers.

The process of installing the tracking is pretty straightforward: Enable the built-in variables, create the trigger and add the tag.

Related: Why Enterprises Should Think About Moving Analytics to the Cloud

Enabling the built-in variables

In order to install the scroll tracking, we need to enable 2 built-in variables: “Page Path” and “Scroll Depth Threshold”. For this, from the “Variables” GTM menu, we need to click on “Configure” button and enable the “Page Path” and “Scroll Depth Threshold” variables 윤민수 옛사랑.

Creating the trigger

Since Google Tag Manager has built-in support for scroll tracking, creating the trigger is really simple. From “Triggers” menu, click on “New” and choose “Scroll Depth” as trigger type.

Next, select “Vertical Scroll Depth” and choose “Percentage”. In that field enter “0,25,50,75,100” which means that this trigger fires when a user scrolls vertically for 0% (during the initial page view), 25%, 50%, etc Shalom Bible. of page.

Now that we have the variables enabled and the trigger created, it’s time to create the tag which will send the actual event to Google Analytics. 

Creating the tag

To create the scroll tracking tag, from the “Tags” menu, click on “New” and select “Google Analytics: Universal Analytics” as the tag type. From the “Track type” we need to select “Event” and in the category field, we can write “Scroll클럽바이오.

In the “Action” field we can select the “Scroll Depth Threshold” variable we enabled earlier while in the “Label” field, we can add the “Page Path” variable.

In this way, in the event action we will see the scrolled percentage of the page while in the event label we will see the path of the page, metrics which are really important for analyzing and auditing your content.

After this, we need to select the “Google Analytics Settings” variable, set the “Non-interaction” option to true and add the “Scroll” trigger we created earlier 한자체.

With these changes made, we can save the tag and test the implementation.

Testing the scroll tracking

The first thing to do when testing the tag is to enable the “Preview” mode in GTM. We do this by clicking on the “Preview” button from the GTM top-right corner. If the preview mode has been enabled successfully, when going to any page from the site where Google Tag Manager is installed, you should see the GTM console at the bottom of the page 포르자 모터스포츠 6.

On this page, to test if the scroll tracking is working correctly, when we scroll the page, we should see the scroll depth events firing in the “Summary” section of GTM preview console.

When clicking on any of these events, we should see the “GA – Event – Scroll” tag we created earlier, firing.

If we see the tag firing, we should confirm that the event was successfully sent to Google Analytics by going to the “Events” section of the “Real Time” report Super Bunny Man pc free. Since we have set the events as “Non-Interaction”, we will only see them in the “Events (Last 30 min)” section of that report.

So if we see those events there, it means the tracking is working correctly and we can publish the changes in Google Tag Manager.

After this, you should be able to see these events in the Behavior / Events / Top Events report.

Analyzing how users scroll using this default report from Google Analytics might not be very user friendly for some users so if you want to take your reporting to the next level, you could create a Data Studio dashboard to report this data 스타크래프트 맵. 

Creating the Google Data Studio dashboard

The first thing to do is to add Google Analytics as a data source. For this, in Data Studio, you need to click on “Create” button and choose “Data Source”. On the next screen select Google Analytics and choose your property.

After adding your Google Analytics property, you can start creating the dashboard 유료폰트. From the main Data Studio screen, click on “Create” and choose “Report”. On the next screen you will be asked to select a data source so you need to choose the Google Analytics data source you created earlier.

Next, we need to create a pivot table that will show the scroll percentage for each page. To create one, from the “Insert” menu, click on “Pivot Table” and select “Event Label” as the row dimension and “Event Action” as the column dimension. For the metric we can use “Total Events”.

By default, this pivot table will display all events so in order to view only the scroll events, we need to create a filter.

To make the report easier to read, we can rename “Event Action” to “Scroll %” and “Event Label” to “Page”.

In the end, our report should look like this:

With a report like this, it will be much easier to see if users actually read your articles until the bottom of the page or they just load the page and exit it without reading it.

Related: Link Building Strategies You Should Adopt in 2020

If you have any questions or need help with this report, feel free to post a comment below and we’ll try to help you.

About Carol Hill

Carol is a web analyst spatialized in content performance tracking. She works mainly with tools such as Google Analytics, Tag Manager and Data Studio. Follow her on Twitter.

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