In Custom Reports, What Must Metrics And Dimensions Share In Order To Report Accurately?

Custom reports are a great way to get a better understanding of your business performance. However, it can be difficult to ensure that the metrics and dimensions you’re using to build your reports are accurately reflecting the data. In order to ensure that your custom reports are accurate, it’s important to understand what metrics and dimensions must share in order to report accurately.

What Metrics And Dimensions Must Share

Metrics and dimensions are both key components of a custom report. Metrics are used to measure a certain aspect of the data, such as page views or revenue. Dimensions are used to break down the data into different categories, such as device type or geographic location. In order to report accurately, the metrics and dimensions used in a custom report must be related to each other. For example, if you’re looking at page views, you need to also be looking at the device type that the page views are coming from.

Accurately Reporting with Custom Reports

When creating a custom report, it’s important to ensure that the metrics and dimensions you’re using are related to each other. This means that the metrics you’re measuring should be broken down by the dimensions you’re using. For example, if you’re looking at page views, you should also be looking at the device type that the page views are coming from. This will ensure that your custom report is accurately reflecting the data.

Another important factor to consider is the timeframe of the data. The timeframe of the data should be consistent across the metrics and dimensions used in the report. This means that if you’re looking at page views for the past month, the device type should also be for the past month. This will ensure that the data is accurate and reflective of the timeframe you’re looking at.

Creating custom reports can be a great way to get a better understanding of your business performance. However, it’s important to ensure that the metrics and dimensions you’re using are related to each other and that the timeframe of the data is consistent across the metrics and dimensions. This will ensure that your custom reports are accurately reflecting the data.