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

When it comes to analyzing data in Google Analytics, you might be wondering in custom reports, what must metrics and dimensions share in order to report accurately?

Understanding these requirements can help you create more effective custom reports that provide meaningful information about your website’s performance.

One important consideration is the scope of the metrics and dimensions you’re using.

Each metric and dimension has a scope that determines the level of detail it provides.

For example, some metrics are session-level, meaning they apply to the entire visit, while others are hit-level, meaning they apply to specific interactions with your site.

Similarly, dimensions can be user-level, session-level, or hit-level.

To create accurate custom reports, it’s important to pair metrics and dimensions that share the same scope.

Another factor to consider is the compatibility of metrics and dimensions.

Not all metrics and dimensions can be combined in custom reports. Google Analytics provides a list of valid dimension-metric combinations to help you ensure that your reports are accurate.

In general, it’s best to choose metrics and dimensions that are closely related to the information you’re trying to analyze.

By selecting the right combinations, you can create custom reports that provide valuable insights into your website’s performance.

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

If you are using Google Analytics to create custom reports, you must ensure that the metrics and dimensions you choose to report accurately share certain characteristics.

In this section, we will discuss the role of metrics and dimensions in custom reports and what they must share to ensure accurate reporting.

Role Of Metrics

Metrics are quantitative measurements used to evaluate and analyze data.

They are the numerical values that describe a given data set, such as revenue, cost, or number of users.

In custom reports, metrics can be used to represent key performance indicators (KPIs) and other important data points.

To ensure accurate reporting, metrics must have the same scope as the dimensions they are paired with.

Each metric has a scope, which can be user-level, session-level, or hit-level.

For example, if you are reporting on the number of sessions per user, you should pair the “Sessions” metric (which has a session-level scope) with the “User Type” dimension (which has a user-level scope).

Role Of Dimensions

Dimensions are qualitative attributes used to describe data points.

They are the labels used to describe data points, such as date, region, or product.

In custom reports, dimensions can be used to segment data and provide additional context to your metrics.

To ensure accurate reporting, dimensions must have the same scope as the metrics they are paired with.

Each dimension has a scope, which can be user-level, session-level, or hit-level.

For example, if you are reporting on the number of sessions per user, you should pair the “Sessions” metric (which has a session-level scope) with the “User Type” dimension (which has a user-level scope).

In summary, to ensure accurate reporting in custom reports, metrics and dimensions must share the same scope.

When selecting metrics and dimensions for your custom reports, it is important to consider the scope of each and choose pairs that are compatible.

By doing so, you can create custom reports that provide valuable insights into your website’s performance.

Accurate Reporting Through Shared Context

When creating custom reports, it is crucial to ensure that metrics and dimensions share a common context to report accurately.

In this section, we will discuss the impact of metrics and dimensions on accurate reporting.

Impact Of Metrics

Metrics are quantitative measurements that provide insights into the performance of a website or application.

They include website visits, number of sales, revenue, and more. To report accurately, metrics must share a common context.

For instance, if you are comparing the performance of two landing pages, you must ensure that the metrics you are comparing, such as bounce rate, have the same scope.

Each metric has a scope, which can be user-level, session-level, or hit-level.

You should only combine metrics that share the same scope to report accurately.

For example, combining a user-level metric, such as lifetime value, with a session-level metric, such as bounce rate, will not provide an accurate report.

Impact Of Dimensions

Dimensions are categories or labels used to organize and analyze metrics.

They include geographic location, age, gender, and more.

To report accurately, dimensions must share a common context.

For instance, if you are analyzing the performance of a product, you must ensure that the dimensions you are using, such as product category or product name, have the same scope.

Each dimension has a scope, which can be user-level, session-level, or hit-level.

You should only combine dimensions that share the same scope to report accurately.

For example, combining a user-level dimension, such as user ID, with a hit-level dimension, such as page title, will not provide an accurate report.

In conclusion, to ensure accurate reporting in custom reports, metrics and dimensions must share a common context.

You should only combine metrics and dimensions that share the same scope to report accurately.

By following these guidelines, you can create custom reports that provide valuable insights into the performance of your website or application.

Common Mistakes And How To Avoid Them

When creating custom reports in Google Analytics, it’s important to ensure that metrics and dimensions are combined accurately.

Here are some common mistakes that can occur and how to avoid them:

Issues With Metrics

Metrics are quantitative measurements of user interactions with your website or app.

Here are some issues that can arise when working with metrics:

  • Combining incompatible metrics: Not every metric can be combined with every dimension. Each dimension and metric has a scope: user-level, session-level, or hit-level.
    • In most cases, it only makes sense to combine dimensions and metrics that share the same scope.
  • Using the wrong metric: Make sure you’re using the right metric to measure what you’re interested in.
    • For example, if you’re interested in measuring engagement, you might use metrics like time on page or pages per session, rather than metrics like bounce rate or exit rate.

To avoid these issues, make sure you understand the scope of each metric and choose the right metric for your analysis.

Issues With Dimensions

Dimensions are attributes of user interactions with your website or app.

Here are some issues that can arise when working with dimensions:

  • Using too many dimensions: Including too many dimensions in a report can make it difficult to interpret and may hide important insights.
    • Choose dimensions that are relevant to your analysis and avoid including unnecessary dimensions.
  • Combining incompatible dimensions: Just like with metrics, not every dimension can be combined with every metric.
    • Make sure you’re combining dimensions and metrics that share the same scope.

To avoid these issues, choose relevant dimensions and make sure you’re combining dimensions and metrics that share the same scope.

By avoiding these common mistakes, you can ensure that your custom reports accurately reflect the metrics and dimensions you’re interested in.

Key Takeaways

When creating custom reports in Google Analytics, it is important to ensure that the metrics and dimensions being used share the same scope or level of detail to report accurately.

Here are some key takeaways to keep in mind:

  • Each dimension and metric has a scope: user-level, session-level, or hit-level.
  • It only makes sense to combine dimensions and metrics that share the same scope.
  • Not every metric can be combined with every dimension. Some metrics and dimensions can’t be paired in a custom report.
  • Refer to valid dimension-metric combinations for details.
  • To create a custom report, navigate to your view, open Reports, and click CUSTOMIZATION > Custom Reports.
  • Pick the dimensions and metrics and decide how they should be displayed.
  • After creating custom dimensions or metrics in your property, you must also modify your tracking code.
  • This should be completed by a qualified developer.
  • View the Custom Dimensions report using MonsterInsights Dashboard reports for the most comprehensive reports right inside your WordPress dashboard.

By following these key takeaways, you can create accurate and meaningful custom reports in Google Analytics to help you better understand your website traffic.

Share this post:

Related Content