Google Analytics 4 - Data Table Widget
Rishabh Singh Jasrotia avatar
Written by Rishabh Singh Jasrotia
Updated over a week ago

On this page:


Report on GA4 properties under Optmyzr Google Analytics Reporting using different performance table widgets.

Data Tables

The table widgets offer a structured, organized way to view and analyze Google Analytics 4 data. They work with events, metrics, and dimensions available in GA4. For each of the data table widgets, you'll find a Campaign selector (to select the desired GA4 property), Dimensions selector, Metrics selector, and filters for the selected Dimensions & Metrics.

The Report designer gives convenience and flexibility with both custom and pre-configured table widgets. Let’s check out the different data tables available for GA4.

Types of Data Tables

GA4 Performance Table

The GA4 data table is a fully customizable table where you can create custom views by selecting the desired metrics and dimensions.

In the widget settings on the right, you can search and add your combinations of dimensions and metrics. For instance, you can start by analyzing the event types to see how much revenue, engaged sessions, new users, etc. they have.

Key Performance Indicators

The GA4 Key Performance Indicators widget offers the convenience of viewing multiple metrics from a property at once, providing an overview of their performance. From the settings on the right, you can choose to display up to 9 metrics in the widget.

Additionally, you can assess the performance change of these metrics across different periods by selecting the 'Include Percentage Change' option.

Pre-configured table widgets

These widgets are pre-configured with some specific set of dimensions and metrics based on different goals and areas of analysis. The dimension(s) selected can’t be changed but you can play with metrics here.

  • User Acquisition: gives the most important data on your new users, where they are coming from (different acquisition channels), and their engagement.

  • Traffic acquisition: shows you what led the user to your website most recently.

  • Events: get a report on the events that you’ve added in Google Analytics. For example, add_to_cart, completing a purchase, a webpage link click, etc.

  • Conversion: get a report on the events you’ve marked as conversions.

  • Landing Pages: shows you how different landing pages are performing.

  • Page Titles & Screen: shows you the pages on your website and screens on your mobile app that people are visiting and engaging with.

  • E-commerce Purchases: get a report on information about the products or services you sell and interactions with those items.

  • In-app Purchases: get on a report on the features/products that you sell on mobile-app via Google Play or Apple App Store.

  • Demographics: get a report on how different age groups and gender, interests, etc. interact with your business.

  • Tech: get a report on traffic by different platforms, operating systems, app versions, etc.

Each data table mentioned above will have different combinations of dimensions & metrics. For example, in the case of User acquisition, these would be as follows:

  • Dimension: First user default grouping channel

  • Metrics: New users, Engaged sessions, Engagement rate, Event Count, Conversions, Total Revenue.

Notes:

  • You can only add a max of 3 dimensions and 7 metrics.

  • In some cases, certain metrics might be incompatible with the selected dimensions. In such cases, you’ll see a warning stating the dimensions & metrics are incompatible. For example, if you add a dimension for a “campaign” and wish to see “users” as a metric. In that case,

Filters

You can add Dimension & Metric filters to filter out results in the data tables.

Dimension filter

You can add filters on top of your dimensions. For instance, see the event name containing “App” in it.

Metric Filter

You can also apply filters to your metrics. For instance, see the country that brings in more than 1000 new users in the selected date range.

Sort

You can also sort by a certain metric or a dimension.

Did this answer your question?