Custom Dimensions

Custom Dimensions

Custom Dimensions

Introduction

Custom dimensions are the metrics you create, and they will allow you to analyze the data, especially for your business needs. It would help if you did this when you made custom user properties, and when you made a custom dimension, you need to provide the name of the custom user property.

Then analytics should be associated with a new dimension; then, they occupy the new dimension with the values it collects from the equivalent user property, so when you create a custom dimension, that will allow you to access and efficiently use your users’ properties.

Scopes of the Custom Dimensions

Custom dimensions will have different scopes. It is a feature provided by various analytics, but one of the most extensive analytics is Google Analytics. It will help deliver the data beyond the primary metrics the platform offers. The association of hits is determined with a particular custom dimension value with the help of scope. Now this scope has four levels to it.

User: The value of the dimension is related to the user throughout the entire or more sessions. And all the hits will be applied to the current and future sessions until changes or the time the custom dimension is made inactive.

Hit: The value has been set for the single hit. It means it is for a specific interaction, for example, page view. This will allow you to analyze data only based on one interaction.

Product: The application of the value is set for the product for which it has been placed.

Session: The value is set for all the single sessions.

  1. Customs Based on Data: It can store different data, but that depends on an analytics platform. Let us look at some of the standard data types: Numbers, Text strings, and timestamps are some of the data types. You can select the type of data based on the nature of the information that has been tracked.
  2. Implementations: Implementing custom dimensions means adding additional configurations to your website. This includes analytics API, changing tracking code snippets, or even integration with tag management systems.
  3. Data Compatibility: The custom dimensions are not helpful for historical data, and it starts collecting data from the implementation point. When analyzing or comparing data before and after implementing the custom dimensions, you need to consider this.

Cases of Custom Dimensions

The primary work of the custom dimension is to provide flexibility in organizing and segmenting the data based on your business needs. It will help you enable and track data points that are accurate to your business. To understand this more clearly, let us look at some of the cases of custom dimensions.

Analysis of the content: The custom dimension also helps to tag and categorize your website content. That will allow you to analyze the performance with the help of category, content type, and topic. Suppose, for example, you can analyze the individual product categories or blog posts.

The Analysis of Region and Localization: If you have multiple businesses that work in different regions or other languages, you can use custom dimensions to analyze the engagement, conversions, user behavior, and all these based on language preferences and the user’s location.

User Segmentation: You can create dimensions to group and analyze users based on different criteria. Suppose, for example, A group of users are just the visitors, and another group is your registered users. Or you are running a physical product business; some will be just visitors, and some will be your customers.

Campaign Tracking: It will help you track the effectiveness of business campaigns with the help of campaign-specific attributes to your website’s analytics data. The parameters considered in this are content, source, and keyword.

Conclusion

Therefore, implementing the custom dimensions will involve recognizing the platform and seizing the extra data points that will help you track more and more deeply. With the help of custom dimensions, you will get more profound insights into your website or business data, and it will help you make better decisions for your business and apply better metrics that will matter more to your business.

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