What Is a Scorecard in Looker Studio and When Should You Use One?

A Looker Studio scorecard is a single-metric display element—a large number prominently shown on a dashboard, often with a comparison value showing change versus a prior period. Scorecards are the most effective way to highlight the KPIs that matter most to your stakeholders. When someone opens your dashboard, the scorecard is what they see first: Total Conversions, Revenue, Goal Completions, Cost Per Acquisition. Before they read a chart or a table, they know immediately whether the business is trending in the right direction.

GA4’s concept of goal completions has evolved significantly from Universal Analytics. In GA4, any event can be marked as a conversion, and the aggregate count of conversion events is what replaces “goal completions.” Displaying these GA4 conversion counts as scorecards in Looker Studio is one of the most common executive dashboard requirements—and one that requires careful setup to display the right numbers for the right time periods.

Step 1: Connect GA4 as a Looker Studio Data Source

Open Looker Studio and create a new report or open an existing one. Click “Add data” and select “Google Analytics.” Choose your GA4 account and property. Looker Studio will connect to your GA4 property and make all standard GA4 dimensions and metrics available. The key metric for conversion scorecards is “Conversions”—the count of events you have marked as conversions in GA4 Admin → Conversions. This metric aggregates all conversion events by default, which you will refine by event name in the next steps.

Step 2: Add a Scorecard for Total Conversions

In your Looker Studio report, click “Insert” → “Scorecard.” A scorecard element will appear on the canvas. In the Chart Properties panel on the right, set the Data Source to your GA4 connection. Set the Metric to “Conversions.” Looker Studio will display the total conversion count for the current date range. Add a comparison period by clicking “Comparison date range” in the properties and selecting “Previous period”—the scorecard will now show both the current period count and the percentage change versus the previous period, with a green up-arrow (positive) or red down-arrow (negative) to make the trend immediately obvious.

Step 3: Create Per-Conversion-Type Scorecards

If you track multiple conversion events (purchase, lead_form_submit, phone_call, newsletter_signup), you may want separate scorecards for each. The GA4 connector in Looker Studio does not natively filter conversions by event name in a scorecard directly. To work around this, create separate Looker Studio data sources for each conversion type using the GA4 connector’s “Filter” option, or use a custom calculated metric.

The most reliable approach is to use a Looker Studio “Create field” calculated metric with a CASE statement. In your data source, click “Add a field” and create a calculated metric: CASE WHEN Event Name = 'purchase' THEN Conversions ELSE 0 END. Name this field “Purchase Conversions.” Create similar calculated fields for each conversion type. Now you can create individual scorecards for each conversion type by selecting these calculated metrics—giving your dashboard separate cards for Purchase, Lead, and Phone Call conversions that update dynamically based on the dashboard’s date range filter.

Step 4: Add a Revenue Scorecard

For ecommerce dashboards, a Revenue scorecard is as important as a Conversions scorecard. In the GA4 Looker Studio connector, the revenue metric is called “Purchase Revenue” (previously “Transaction Revenue” in UA). Add a second scorecard to your dashboard, set the metric to “Purchase Revenue,” and format it as currency using the Metric formatting options in the properties panel. Select your currency code (USD, GBP, EUR, etc.) and set the decimal places to 2. Enable the same “Previous period” comparison as your Conversions scorecard so stakeholders can see revenue trend alongside conversion trend.

Step 5: Create a Conversion Rate Scorecard

Conversion rate is often more informative than raw conversion count—it normalizes for traffic volume changes. In Looker Studio, create a calculated field in your GA4 data source: Conversions / Sessions * 100. Name this “Conversion Rate %.” Format it as a number with two decimal places and add a “%” suffix in the display format. Add a third scorecard using this field. Now your dashboard top row shows three key numbers: Conversions (volume), Revenue (value), and Conversion Rate (efficiency)—giving stakeholders the complete picture in three glances.

Step 6: Add a Date Range Control

Connect all your scorecards to a shared date range control so stakeholders can adjust the analysis period without needing to edit each chart individually. Click “Insert” → “Date range control.” Place it in the top right of your dashboard. Ensure each scorecard’s date range is set to “Auto” (meaning it inherits from the report-level date range or the date range control). Set a default date range of “Last 30 days” so the dashboard shows meaningful data on first open. When stakeholders change the date range control to “Last quarter” or a custom range, all scorecards update simultaneously—no manual reconfiguration required.

Step 7: Style Scorecards for Executive Readability

Executive dashboards succeed or fail based on visual clarity. Apply consistent styling to your scorecards. Use a large font size for the primary metric (at least 36pt) so it is readable at a distance. Use a smaller font for the comparison delta (12–14pt). Color the background of each scorecard card distinctly if they represent different metric types, or keep them uniform for a clean corporate look. Add a short label above each scorecard—”Purchases,” “Revenue,” “Conversion Rate”—using a text element in Looker Studio so stakeholders know what each number represents without hovering over it.

Place your scorecard row at the very top of the dashboard, before any charts or tables. The human eye naturally reads top-to-bottom, so your most important numbers get seen first, every time the dashboard is opened. Below the scorecard row, place trend line charts showing the same metrics over time—so stakeholders who want to understand the context behind the summary numbers can immediately dive deeper without leaving the dashboard.

Conclusion

Looker Studio scorecards connected to GA4 conversion data are the most direct way to communicate business performance to stakeholders who do not have time for detailed data analysis. By building scorecards for total conversions, revenue, conversion rate, and per-conversion-type breakdowns—all connected to a shared date range control and styled for executive readability—you create a dashboard that answers the most important business questions in the first five seconds. Build this scorecard layer first and add supporting detail charts around it, not the other way around.