Custom reports have become an essential tool for businesses of all sizes. They allow you to gain valuable insights into your website traffic, marketing campaigns, and overall business performance. However, to create an accurate custom report, you need to ensure that your metrics and dimensions share certain characteristics. In this article, we will explore what those characteristics are and why they are crucial to report accuracy.
Firstly, let us define what metrics and dimensions are. Metrics are quantitative measurements that represent specific aspects of your website or business performance. Examples of metrics include the number of sessions, pageviews, bounce rate, and revenue. Dimensions, on the other hand, are attributes that provide context to your metrics. They are qualitative data points that describe your website or business. Examples of dimensions include the source/medium of your website traffic, the device used to access your website, and the location of your users.
In custom reports, metrics and dimensions need to share the same scope or level of detail to report accurately. The scope refers to the level of granularity of your data. For instance, if you are creating a custom report on website traffic, the scope could be at the session level, pageview level, or user level. Let us assume that you are creating a custom report on the number of sessions by source/medium. In this case, your metric is the number of sessions, and your dimension is the source/medium. Both your metric and dimension need to share the same scope, which is at the session level. Otherwise, your report will not accurately represent your website traffic data.
Secondly, metrics and dimensions need to share a common denominator or unit of measurement to report accurately. A common denominator refers to the unit of measurement used to express your metric and dimension values. For instance, if your metric is revenue, the common denominator could be a dollar. If your dimension is the location of your users, the common denominator could be a country or city. If you are creating a custom report on the revenue by location, both your metric and dimension need to share the same common denominator. Otherwise, your report will not accurately represent your revenue data.
Thirdly, metrics and dimensions need to share a logical relationship to report accurately. A logical relationship refers to the relationship between your metric and dimension, which makes sense in your business context. For instance, if your metric is the number of pageviews, and your dimension is the device used to access your website, it makes logical sense to report the number of pageviews by device. However, if your dimension is the weather condition on the day of the pageview, it does not make logical sense to report the number of pageviews by weather condition. Therefore, you need to ensure that your metrics and dimensions share a logical relationship to report accurately.
In conclusion, metrics and dimensions are crucial components of custom reports. To create an accurate custom report, you need to ensure that your metrics and dimensions share the same scope, a common denominator, and a logical relationship. By doing so, you will be able to gain valuable insights into your website traffic, marketing campaigns, and overall business performance, which will help you make informed decisions to drive your business forward.