5 Reasons We Love Looker Studio

Google Looker Studio logo
These are some of our favorite advanced reporting techniques that keep it simple and honest for our clients in their real-time dashboards.

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You’ve probably noticed how much we LOVE producing visuals and reporting digital marketing data for our clients. It’s so important for our clients to know the true impact of digital marketing on their business, and our real-time reporting keeps everyone informed in between scheduled calls.

Google’s Looker Studio (formerly known as Google Data Studio) is our favorite tool to use for real-time client dashboards and for designing great looking data visualizations. It’s a powerful tool, and it’s free to use (although you may need to purchase a connector to sync certain data. We like SuperMetrics for this).

These are some of our favorite features and advanced reporting techniques that keep our real-time dashboards simple and honest.

One of the most powerful things about Looker Studio is the ability to share a link to anyone who needs access to view the data. This is similar to Google Drive, where you can share to a specific user, or make the document available to “Anyone with the link.” This doesn’t make the document or report findable on the internet, but it does mean that our clients can share their reports with any relevant stakeholders by simply sending them a link.

Google Looker Studio Sharing Settings
Google Looker Studio Sharing Settings

Managing access across digital marketing assets is not easy, and sometimes our clients want someone to be able to see certain summary data without having full permissions to make changes within all the ads and analytics accounts. This is a great workaround for a situation like that. We create the reports using our credentials to each platform, which makes the selected visualized data visible to anyone with view access to the dashboard, and they don’t have to hunt down a password or navigate granting access to each stakeholder each time they want to check on performance.

We also love how we can show data from multiple sources with just one link. This is so much easier for clients than logging into each ad or analytics platform and trying to understand which metrics answer their burning questions. We know they’re busy running their businesses, and we want to take that off their plate with specific and clear reporting that answers their questions in real-time while filtering out the noise.

Not only can you make charts using different platform data, you can also blend data from multiple sources in the same charts.

We like to use this in our clients’ executive summaries. While we get pretty detailed throughout the rest of the dashboards, we blend all data into a summary page where we can analyze sum totals, average KPIs, and trend lines of things like ad spend, conversions, clicks, cost per click, cost per conversion, ROAS, and the list goes on!

We work with our clients to identify appropriate KPIs for their business and visualize them in useful ways. Our clients can then print or share their executive summary and be prepared for board meetings, investor meetings, or meetings with their bosses, and those who ARE the boss are able to keep an eye on the big picture.

This ROAS chart blends spend data from Meta Ads, Google Ads, and purchase revenue from Google Analytics into a trend line.

ROAS Trendline Chart

We also love to use the text block feature to define and give context to these metrics, since we know most of our clients don’t have time to decipher marketing jargon or try to understand how their data might compare against industry benchmarks. This section shows the summed ad spend from both Google and Meta Ads, as well as a custom calculated ROAS over all time. Context is also given for any industry averages used for benchmarking.

Metric Charts for Total Ad Spend and Total ROAS

Another great feature of Google Data Studio is the ability to add additional dimensions and metrics. You can transform existing fields to be more useful for you based on various logic or formulas.

We do this most frequently with CASE statements. CASE statements use if/then logic to group data based on what values are in an existing dimension. This allows us to create custom categories which we then use to group campaigns by marketing strategy, product/service categories, or any other useful categorization.

In the example below for a higher education client, we grouped campaigns based on the targeted program, then further split them out based on whether they were targeting potential students within the US or internationally. Since we used a consistent naming convention for the campaign names, we were able to use CASE statements to detect patterns and assign custom dimensions for Program and Geographical Targeting based on the campaign’s name. This aggregation resulted in more streamlined summary reporting for our client.Pivot chart that shows a row per program and columns based on international targeting. Aggregated metrics of clicks, CPC, and cost

Another way we use this is to translate more technical values into a label that is actually meaningful to those reading the report. For example, Google Analytics has event naming recommendations that aren’t always meaningful to every report viewer. A quick CASE statement transforms this chart:

Chart that shows conversions split out by acquisition source, where each conversion is named according to the technical Google Analytics event naming recommendations.into this chart:Chart that shows conversions split out by acquisition source, where each conversion is labelled in a way that makes more sense to the viewer and is clear about what action triggers the conversion.

While the difference might seem small, we like to take every opportunity to reduce confusion for our clients. When we hear that our clients have a question about how to read a report or what a certain chart or label means, we make a change to clarify it for them so they aren’t wasting any of their valuable time.

While we believe that the most transparent and honest reporting is typically best achieved with the simplest visualizations, sometimes a fancy visualization is needed to effectively tell the story of a specific set of data.

Looker Studio has a section for Community Visualizations where community partners can create their own custom visualizations, and these can be pretty complex and specific.

Our favorites are Metric Funnel and Heatmap.

Client customized funnel visualization that starts with all site visitors, those who submit lead forms, and those who complete the process of signing documents.
Funnel visualization customized for a client’s business processes: All site visitors, those who sign up, and those who complete the process by submitting the final paperwork.


Heatmap of clicks split horizontally across days of the week and vertically across hours of the day.
Heatmap of clicks across days of week and hours of day.
Looker Studio Menu of Various Interactivity Features
Looker Studio Control Menu

Charts in Looker Studio can be made interactive.  To allow our clients to examine the reporting across various date ranges, we include a date selector on most pages. Depending on our client’s business needs, we also sometimes add dropdown filter selectors, drill-downs, or expansions. When combined with custom categories created with a CASE statement, this can be very useful for summarizing high level information while still allowing a detailed view if desired.

Table with Drill-down enabled. Shows a table of Campaigns with various metrics, and the right-click menu is displayed, showing how the chart can be drilled down. Once drilled down, the dimension shown would be ad group.
Drill-down chart example – campaigns are shown, but user can drill down to show all ad groups, or just the ad group in the clicked campaign.
Example of a chart that can expand to show additional hierarchical breakdowns. Shown is a table of campaigns and campaign metrics, and by expanding the "+" sign, you'll see the next subgrouping, which is set to ad group.
Expand/Collapse chart example. By clicking the plus sign, the campaigns will be expanded to show their ad group breakdowns.

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