To measure user-interactions in Google Analytics

To measure user-interactions in Google Analytics: -

Reports with unique dimension combinations to drive product growth.
An interaction is any point of contact with an element on a website.
These are defined by analysts or Google Analytics users and can be clicks, scrolls, scrolls, etc.
Engagement rate is the percentage of people who interact (click, hover, tap) with an item.
Engagement rate is a very useful measure in the world of Product Analytics and helps analysts find areas on websites or applications where the customer may have problems.
Let's say a software engineer notifies us that some of the Add to Cart buttons on the website stopped working and we need to know what percentage of sessions usually use this item so that the development team can understand how urgent it is to fix this button.
This metric can also be used to provide insight into why a user may or may not convert and can be used as a key performance indicator for goals and objectives.
There are 3 main metrics captured in Google Analytics (Universal): total events, unique events, and a more complicated metric to understand, unique dimension combinations.
These metrics are commonly analyzed using 3 dimensions: Event Category, Event Action, and Event Label.

Difference between event metrics:

To understand what users are doing on websites and applications, we can look at the three-event metrics: total events, unique events, and unique dimension combinations.
If a user clicks the Add to Cart button 4 times, the event will be sent or "Fired" 4 times to Google Analytics and the Total Events metric will be 4.
If another user also clicked the Add to Cart button 4 times, the total events for this button would be 8.
Google Analytics increments the Total Events metric based on the number of times the tracking combination is triggered.
For one-time interactions, Google Analytics counts 1 for the first time the event fires in the session with these dimension values ​​and ignores any additional events with the same values.
The Total Events metric counts each time the value is sent.
Next, we have Unique Dimension Combinations.
This metric counts the number of unique dimensions and value combinations for each dimension in a report.
This metric will often be close to the Unique Events value in most cases, but it may differ depending on the dimensions that are used.
Unique dimension combinations allow you to combine or group dimensions without needing to update or add additional tracking.
Understanding how events are fired on the website will help you determine which metric to use.
If events are sent to Google Analytics at the same time, Unique Events will match the Unique Dimension Combinations metric.
If the events are sent to Google Analytics at different times in the session, these metrics will not match and the unique events will be inflated.
When in doubt, always use Unique Dimension Combinations, as this should be correct in both circumstances.

Calculation of the interaction rate:

If we wanted to understand how many people interact with the Add to Cart button, we would first take a look at all sessions that have viewed the page where the item lives.
In Google Analytics you can create a segment for the page where the interaction takes place to find the number of sessions.
Next, we'll find out how many unique dimension combinations there are for the event category, action, and event tag that is triggered for Add to Cart on the Sock product page.
Now we can divide the unique dimension combinations by Sessions * 100 to calculate the engagement rate.
The answer for our example would be 80%.
Another useful measure is the average number of times an item is interacted with, within a session.
(Average Clicks) Used to understand pain points.
If an item that only needs to be clicked once or twice has a high avg. clicks, this may be an indication that the user is stuck or clicking due to frustration.

https://envisionrole.in/to-measure-user-interactions-in-google-analytics/


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