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Looker Studio (New Google Data Studio): The In-Depth Guide

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Looker Studio (New Google Data Studio): The In-Depth Guide

If you haven’t heard, Looker Studio has replaced the well-known Google Data Studio brand.

While Google Data Studio made reporting easier for many marketers, it certainly had its limitations.

As a brand’s marketing strategy evolves and becomes more complex, so does the sophistication of its reporting needs.

If you’re anything like me, you’re likely tired of spending hours updating the same spreadsheets each month.

Sometimes, more time is spent pulling a report than providing actual insights.

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When this happens, we’re doing a disservice by spending more time “doing” and less time actually analyzing the data.

There has to be a better way, right?

This in-depth Looker Studio guide will teach you how to create and customize action-oriented reports based on your own data.

What Happened To Google Data Studio?

Originally introduced in beta mid-2016, Google Data Studio is a free data visualization tool.

Many marketers have used this tool for years to unify and visualize data sets from multiple channels.

But now, you’ll notice that Data Studio is no longer referenced. Where did it go?

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Google officially rebranded its Data Studio product to be named Looker Studio in October 2022.

In their official announcement, Google stated:

“We are unifying our business intelligence product family under the Looker umbrella, bringing together Looker, Data Studio, and core Google technologies like artificial intelligence (AI) and machine learning (ML). Looker Studio is still free, and has the same features as Data Studio.”

What Is Google Looker Studio?

Google Looker Studio (formerly Data Studio) syncs all of your data sources into one unified reporting experience.

It enables users to create informative and visual dashboards that are easy to interpret, share, and customize.

Essentially, Looker Studio helps go beyond data visualization. It’s aimed to help marketers make more data-driven decisions for their clients and brands alike.

Currently, Looker Studio supports over 800 different data sources, along with 600+ data connectors.

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Looker Studio Vs. Data Studio

While Looker Studio touts many of the same features as the former Data Studio, the new name also brings new features.

  • Free version and Pro version (paid).
  • Different modeling method (LookML).
  • Looker integration with Google Sheets.
  • More flexible data modeling features.
  • Supports 50+ SQLs and databases.
  • Merging features from different data sources.

One of the key differences between Looker and Data Studio is the way data is modeled. Looker Studio uses LookML (Looker Modeling Language).

The second key difference that most marketers will benefit from is the new and improved data merging features from Looker.

In Data Studio, it allowed for data sources to be blended.

However, the biggest downside of this was that the blending feature was based on a left outer join and often didn’t blend data in a way that marketers needed.

It was a tedious process that left many to spend more time manually importing their data into a Google Sheet, then connecting that source to Data Studio.

Sounds frustrating, right?

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Looker Studio, on the other hand, requires SQL databases to integrate any source. This means that raw data is passed into a database, making it much easier for Looker to merge data from different sources.

The result? A faster, more meaningful way to visualize data from all your different marketing sources in an easy-to-digest format.

Getting Started With Looker Studio

There are a few key areas to ensure your first Google Looker Studio report is a success. These include:

  • Choosing a template or dashboard.
  • Connecting data sources.
  • Choosing metrics that matter.
  • Sharing reports.

Looker Studio Templates

The first thing to do is to choose a template.

To access Looker Studio, visit Looker Studio using your preferred Google Account. This should be the account that you access your Google Analytics, Search Console, Google Ads, etc.

Looker Studio provides a wide variety of templates to get you started.

If you’re new to Looker Studio, it is important to choose a template based on the type of data being portrayed.

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Screenshot from Looker Studio, December 2022Looker Studio provides many dashboard templates to get you started.

With any template, you have the ability to customize items and fonts to create a more consistent report.

The beauty of these reports is that multiple pages can be added.

Don’t feel like your entire marketing story needs to be shown on one page!

Every client has different needs, and their reporting should be no different.

The most efficient route I have found is to use and tweak different dashboards based on who the intended audience is.

For example, I may create a different dashboard or report page if I’m talking to a CMO vs. a Product Marketing Manager. Why?

Depending on the role of who you’re talking to, they will understand and interpret data in different ways.

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A CMO, for example, doesn’t need to know the “in the weeds” data. They want to know what channels are working, what’s not, and if they’re on track to meet their goals.

Connect A Data Source

Now that you’ve selected a template, it’s time to connect your data sources.

To add a connector to your template, go to Resource at the top navigation, then click Manage added data sources. Then, you’ll click + Add A Data Source.

Looker Studio has 24 Google-owned connectors.Screenshot from Looker Studio, December 2022Looker Studio has 24 Google-owned connectors.

There are currently 24 different Google connectors, such as Google Analytics, Google Ads, Google Sheets, BigQuery, and more.

However, you’re likely using other platforms like social media, third-party tools, CRM systems, and more.

For those non-Google connectors, Looker Studio can connect over 650 different data sources from their partner connectors!

Looker Studio can connect to over 650 partner data sources.Screenshot from Looker Studio, December 2022Looker Studio can connect to over 650 partner data sources.

By using the connectors, it takes the manual tasks and syncs all data for you!

It’d be impossible to list all the available data sources here, but some of the main ones I’ve used in the past include:

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  • Supermetrics connectors for:
    • Facebook + Instagram Insights.
    • Microsoft Advertising.
    • Ad + Google Analytics Data.
    • Position Tracking.
    • And many more.
  • SEOMonitor.
  • CallRail.
  • Salesforce.
  • HubSpot.

Most of these data sources come from third-party connectors. Keep in mind that many of them:

  • Additional cost.
  • Can slow down reports.
  • Metrics are sometimes deprecated, meaning it is vital to stay on top of any changes to your report and rebuild metrics if needed.

When adding a data source, you’ll be asked to authorize the connection between accounts.

An In-Depth Guide To Get Started With Looker Studio (The New Google Data Studio)

An In-Depth Guide To Get Started With Looker Studio (The New Google Data Studio)

Choosing Metrics That Matter

Speaking of metrics – they matter.

Let’s be real, the worst is when clients open reports and see a complete data dump.

While Looker Studio is completely customizable, this does not mean we should be showing all metrics available.

Does your client care about return on advertising spend (ROAS)? Be sure to include metrics such as spend and revenue.

How about overall brand awareness? Include pre-click metrics such as impressions, clicks, CTR, view rate, etc.

By conveying the proper metrics and insights based on goals, it shows the client that you are listening to them. A win-win for everyone!

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How To Edit A Report

Now that you’ve connected your data sources, it’s time to customize that report!

Let’s review this Google Ads template as an example.

First, you’ll want to make sure you’re in the “Edit” mode and not “View.”

An In-Depth Guide To Get Started With Looker Studio (The New Google Data Studio)Screenshot from Google Ads, December 2022An In-Depth Guide To Get Started With Looker Studio (The New Google Data Studio)

You can start customizing your report by utilizing the data field sets on the right-hand side.

If you’ve chosen a template like the one above, the first step is to change the data source for each chart you wish to choose.

An In-Depth Guide To Get Started With Looker Studio (The New Google Data Studio)Screenshot from Google Ads, December 2022An In-Depth Guide To Get Started With Looker Studio (The New Google Data Studio)

From there, you can choose from any of the different data fields from your chosen data source to change any visualization.

Pick and choose what data fields to visualize in Looker Studio.

Pick and choose what data fields to visualize in Looker Studio.

Not only can you create and edit charts and tables in Looker Studio, but the ability to choose the look and feel of a report is a game-changer for clients.

It gives a sense of consistency across an organization.

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A few ways to personalize the style of your report include:

  • Font and background color.
  • Changing comparison metric colors.
  • Text padding to align either left, center, or right.

Pro tip: If you want to change all scorecards or charts at once, simply select all at the same time before.

The style changes will apply to all selections. Another time-saver!

In this example, I changed the report background, scorecard colors, and label fonts to create brand standard consistency:

An In-Depth Guide To Get Started With Looker Studio (The New Google Data Studio)

An In-Depth Guide To Get Started With Looker Studio (The New Google Data Studio)

If you’re new to Looker Studio, it will take time, trial and error, and patience to create a report visual that meets your reader’s expectations. Don’t get discouraged along the way!

Adding Report Filters

An efficient way to group multiple visualizations together is by adding report and page filters.

For example, if you wanted all tables and charts to change when editing the date range, you could add a Date Range icon and set it to “Report Level.”

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This means that if the report is comprised of multiple pages, whenever the date range is updated, all chart data updates alongside it.

For example, if you wanted to dive into Campaign Type performance, there’s a filter for that!

Simply navigate to the toolbar and choose Add a control > Drop-down list and add the Control field of “Campaign type” as your filter.

Choose different filters for your data to drill down more granularly.

Choose different filters for your data to drill down more granularly.

This allows you to filter the data on that particular page by campaign type.

For example, if you wanted to show how Search performs compared to YouTube, you’d choose from the dropdown in that filter.

By default, filters added are at a page level.

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If you wish to make the filter report-level (meaning the filter would appear on each page of your report), simply right-click the filter and choose Make report-level.

Create A Chart

If you’ve gotten comfortable with your Looker Studio experience, let’s dive into how to create a chart from scratch.

The advantage of creating a custom chart is that you’re in full control from the beginning of visualizing exactly what matters most.

The first step is to consider who will be reading this report. Remember to include what data is important to them.

Your chart should tell a story, and it’s up to you to visualize that successfully.

For example, you may want to add an “Overview” table that encompasses the main metrics or key performance indicators (KPIs) that matter to them.

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To create a chart, click on “Insert,” which will show you all the different charts to choose from. These include:

  • Time series.
  • Bar chart.
  • Pie chart.
  • Tables.
  • Scorecards.
  • Bullet charts.
  • Much more.

A non-exhaustive list of available data visualizations in Looker Studio.

A non-exhaustive list of available data visualizations in Looker Studio.

In this example, I want to choose a simple bullet chart to add to my CMO Overview page. The goal of this chart is to show if we met our monthly goal of app installs.

The first step is to choose the metric you’re measuring. In this case, I chose “Installs.”

To make this bullet chart effective, you need to add your target/goal. Make sure to check the box that says “Show Target.”

Then, I input different range limits to show the progress.

I kept the last range the same as the target value. You can also put the last range as a higher value than your target, especially if you exceed that target value.

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An In-Depth Guide To Get Started With Looker Studio (The New Google Data Studio)

An In-Depth Guide To Get Started With Looker Studio (The New Google Data Studio)

So, what does this chart say? It portrays that our goal was 5,500 app installs for the month of November.

According to the bullet chart, they were close to hitting their goal but didn’t quite make it.

Sometimes simple charts are all you need to represent the necessary data.

Like all other elements of Looker Studio, you can modify the style of any chart, table, or element as I did above.

Sharing Reports

The following options are available for sharing a Looker Studio report:

  • Invite people.
  • Schedule email delivery.
  • Get report link.
  • Embed report.
  • Download report.

An In-Depth Guide To Get Started With Looker Studio (The New Google Data Studio)

An In-Depth Guide To Get Started With Looker Studio (The New Google Data Studio)

If you want to invite people to access the report in real time, it’s important to check the share settings.

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To add someone via email, it must be a Google account email. They can be added as a “Viewer” or an “Editor.”

An In-Depth Guide To Get Started With Looker Studio (The New Google Data Studio)

An In-Depth Guide To Get Started With Looker Studio (The New Google Data Studio)

Another data safety measure Looker Studio added was how links to the report can be shared.

You can choose from:

  • Restricted. Only people who you have shared the report with can open the link.
  • Unlisted. Anyone on the internet with the link can view (or edit – choose this setting carefully).
  • Public. Anyone on the internet with the link can find and view (or edit – choose this setting carefully).

An In-Depth Guide To Get Started With Looker Studio (The New Google Data Studio)

An In-Depth Guide To Get Started With Looker Studio (The New Google Data Studio)

Another cool feature Google added is the option to limit sharing in the following options. In the share settings, click on the “gear” icon in the right-hand corner:

  • Prevent editors from changing access and adding new people.
  • Disable downloading, printing, and copying for viewers.

An In-Depth Guide To Get Started With Looker Studio (The New Google Data Studio)

An In-Depth Guide To Get Started With Looker Studio (The New Google Data Studio)

I typically recommend checking the first box to prevent editors from changing access or adding new people.

By doing so, it allows us to maintain control of the report settings and the integrity of report changes.

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Get Started With Looker Studio Now

Hopefully, this introduction to Google Looker Studio will empower you to feel more confident in creating personalized reports for your clients and brands.

More Resources:


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How Compression Can Be Used To Detect Low Quality Pages

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Compression can be used by search engines to detect low-quality pages. Although not widely known, it's useful foundational knowledge for SEO.

The concept of Compressibility as a quality signal is not widely known, but SEOs should be aware of it. Search engines can use web page compressibility to identify duplicate pages, doorway pages with similar content, and pages with repetitive keywords, making it useful knowledge for SEO.

Although the following research paper demonstrates a successful use of on-page features for detecting spam, the deliberate lack of transparency by search engines makes it difficult to say with certainty if search engines are applying this or similar techniques.

What Is Compressibility?

In computing, compressibility refers to how much a file (data) can be reduced in size while retaining essential information, typically to maximize storage space or to allow more data to be transmitted over the Internet.

TL/DR Of Compression

Compression replaces repeated words and phrases with shorter references, reducing the file size by significant margins. Search engines typically compress indexed web pages to maximize storage space, reduce bandwidth, and improve retrieval speed, among other reasons.

This is a simplified explanation of how compression works:

  • Identify Patterns:
    A compression algorithm scans the text to find repeated words, patterns and phrases
  • Shorter Codes Take Up Less Space:
    The codes and symbols use less storage space then the original words and phrases, which results in a smaller file size.
  • Shorter References Use Less Bits:
    The “code” that essentially symbolizes the replaced words and phrases uses less data than the originals.

A bonus effect of using compression is that it can also be used to identify duplicate pages, doorway pages with similar content, and pages with repetitive keywords.

Research Paper About Detecting Spam

This research paper is significant because it was authored by distinguished computer scientists known for breakthroughs in AI, distributed computing, information retrieval, and other fields.

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Marc Najork

One of the co-authors of the research paper is Marc Najork, a prominent research scientist who currently holds the title of Distinguished Research Scientist at Google DeepMind. He’s a co-author of the papers for TW-BERT, has contributed research for increasing the accuracy of using implicit user feedback like clicks, and worked on creating improved AI-based information retrieval (DSI++: Updating Transformer Memory with New Documents), among many other major breakthroughs in information retrieval.

Dennis Fetterly

Another of the co-authors is Dennis Fetterly, currently a software engineer at Google. He is listed as a co-inventor in a patent for a ranking algorithm that uses links, and is known for his research in distributed computing and information retrieval.

Those are just two of the distinguished researchers listed as co-authors of the 2006 Microsoft research paper about identifying spam through on-page content features. Among the several on-page content features the research paper analyzes is compressibility, which they discovered can be used as a classifier for indicating that a web page is spammy.

Detecting Spam Web Pages Through Content Analysis

Although the research paper was authored in 2006, its findings remain relevant to today.

Then, as now, people attempted to rank hundreds or thousands of location-based web pages that were essentially duplicate content aside from city, region, or state names. Then, as now, SEOs often created web pages for search engines by excessively repeating keywords within titles, meta descriptions, headings, internal anchor text, and within the content to improve rankings.

Section 4.6 of the research paper explains:

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“Some search engines give higher weight to pages containing the query keywords several times. For example, for a given query term, a page that contains it ten times may be higher ranked than a page that contains it only once. To take advantage of such engines, some spam pages replicate their content several times in an attempt to rank higher.”

The research paper explains that search engines compress web pages and use the compressed version to reference the original web page. They note that excessive amounts of redundant words results in a higher level of compressibility. So they set about testing if there’s a correlation between a high level of compressibility and spam.

They write:

“Our approach in this section to locating redundant content within a page is to compress the page; to save space and disk time, search engines often compress web pages after indexing them, but before adding them to a page cache.

…We measure the redundancy of web pages by the compression ratio, the size of the uncompressed page divided by the size of the compressed page. We used GZIP …to compress pages, a fast and effective compression algorithm.”

High Compressibility Correlates To Spam

The results of the research showed that web pages with at least a compression ratio of 4.0 tended to be low quality web pages, spam. However, the highest rates of compressibility became less consistent because there were fewer data points, making it harder to interpret.

Figure 9: Prevalence of spam relative to compressibility of page.

The researchers concluded:

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“70% of all sampled pages with a compression ratio of at least 4.0 were judged to be spam.”

But they also discovered that using the compression ratio by itself still resulted in false positives, where non-spam pages were incorrectly identified as spam:

“The compression ratio heuristic described in Section 4.6 fared best, correctly identifying 660 (27.9%) of the spam pages in our collection, while misidentifying 2, 068 (12.0%) of all judged pages.

Using all of the aforementioned features, the classification accuracy after the ten-fold cross validation process is encouraging:

95.4% of our judged pages were classified correctly, while 4.6% were classified incorrectly.

More specifically, for the spam class 1, 940 out of the 2, 364 pages, were classified correctly. For the non-spam class, 14, 440 out of the 14,804 pages were classified correctly. Consequently, 788 pages were classified incorrectly.”

The next section describes an interesting discovery about how to increase the accuracy of using on-page signals for identifying spam.

Insight Into Quality Rankings

The research paper examined multiple on-page signals, including compressibility. They discovered that each individual signal (classifier) was able to find some spam but that relying on any one signal on its own resulted in flagging non-spam pages for spam, which are commonly referred to as false positive.

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The researchers made an important discovery that everyone interested in SEO should know, which is that using multiple classifiers increased the accuracy of detecting spam and decreased the likelihood of false positives. Just as important, the compressibility signal only identifies one kind of spam but not the full range of spam.

The takeaway is that compressibility is a good way to identify one kind of spam but there are other kinds of spam that aren’t caught with this one signal. Other kinds of spam were not caught with the compressibility signal.

This is the part that every SEO and publisher should be aware of:

“In the previous section, we presented a number of heuristics for assaying spam web pages. That is, we measured several characteristics of web pages, and found ranges of those characteristics which correlated with a page being spam. Nevertheless, when used individually, no technique uncovers most of the spam in our data set without flagging many non-spam pages as spam.

For example, considering the compression ratio heuristic described in Section 4.6, one of our most promising methods, the average probability of spam for ratios of 4.2 and higher is 72%. But only about 1.5% of all pages fall in this range. This number is far below the 13.8% of spam pages that we identified in our data set.”

So, even though compressibility was one of the better signals for identifying spam, it still was unable to uncover the full range of spam within the dataset the researchers used to test the signals.

Combining Multiple Signals

The above results indicated that individual signals of low quality are less accurate. So they tested using multiple signals. What they discovered was that combining multiple on-page signals for detecting spam resulted in a better accuracy rate with less pages misclassified as spam.

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The researchers explained that they tested the use of multiple signals:

“One way of combining our heuristic methods is to view the spam detection problem as a classification problem. In this case, we want to create a classification model (or classifier) which, given a web page, will use the page’s features jointly in order to (correctly, we hope) classify it in one of two classes: spam and non-spam.”

These are their conclusions about using multiple signals:

“We have studied various aspects of content-based spam on the web using a real-world data set from the MSNSearch crawler. We have presented a number of heuristic methods for detecting content based spam. Some of our spam detection methods are more effective than others, however when used in isolation our methods may not identify all of the spam pages. For this reason, we combined our spam-detection methods to create a highly accurate C4.5 classifier. Our classifier can correctly identify 86.2% of all spam pages, while flagging very few legitimate pages as spam.”

Key Insight:

Misidentifying “very few legitimate pages as spam” was a significant breakthrough. The important insight that everyone involved with SEO should take away from this is that one signal by itself can result in false positives. Using multiple signals increases the accuracy.

What this means is that SEO tests of isolated ranking or quality signals will not yield reliable results that can be trusted for making strategy or business decisions.

Takeaways

We don’t know for certain if compressibility is used at the search engines but it’s an easy to use signal that combined with others could be used to catch simple kinds of spam like thousands of city name doorway pages with similar content. Yet even if the search engines don’t use this signal, it does show how easy it is to catch that kind of search engine manipulation and that it’s something search engines are well able to handle today.

Here are the key points of this article to keep in mind:

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  • Doorway pages with duplicate content is easy to catch because they compress at a higher ratio than normal web pages.
  • Groups of web pages with a compression ratio above 4.0 were predominantly spam.
  • Negative quality signals used by themselves to catch spam can lead to false positives.
  • In this particular test, they discovered that on-page negative quality signals only catch specific types of spam.
  • When used alone, the compressibility signal only catches redundancy-type spam, fails to detect other forms of spam, and leads to false positives.
  • Combing quality signals improves spam detection accuracy and reduces false positives.
  • Search engines today have a higher accuracy of spam detection with the use of AI like Spam Brain.

Read the research paper, which is linked from the Google Scholar page of Marc Najork:

Detecting spam web pages through content analysis

Featured Image by Shutterstock/pathdoc

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New Google Trends SEO Documentation

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Google publishes new documentation for how to use Google Trends for search marketing

Google Search Central published new documentation on Google Trends, explaining how to use it for search marketing. This guide serves as an easy to understand introduction for newcomers and a helpful refresher for experienced search marketers and publishers.

The new guide has six sections:

  1. About Google Trends
  2. Tutorial on monitoring trends
  3. How to do keyword research with the tool
  4. How to prioritize content with Trends data
  5. How to use Google Trends for competitor research
  6. How to use Google Trends for analyzing brand awareness and sentiment

The section about monitoring trends advises there are two kinds of rising trends, general and specific trends, which can be useful for developing content to publish on a site.

Using the Explore tool, you can leave the search box empty and view the current rising trends worldwide or use a drop down menu to focus on trends in a specific country. Users can further filter rising trends by time periods, categories and the type of search. The results show rising trends by topic and by keywords.

To search for specific trends users just need to enter the specific queries and then filter them by country, time, categories and type of search.

The section called Content Calendar describes how to use Google Trends to understand which content topics to prioritize.

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Google explains:

“Google Trends can be helpful not only to get ideas on what to write, but also to prioritize when to publish it. To help you better prioritize which topics to focus on, try to find seasonal trends in the data. With that information, you can plan ahead to have high quality content available on your site a little before people are searching for it, so that when they do, your content is ready for them.”

Read the new Google Trends documentation:

Get started with Google Trends

Featured Image by Shutterstock/Luis Molinero

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All the best things about Ahrefs Evolve 2024

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All the best things about Ahrefs Evolve 2024

Hey all, I’m Rebekah and I am your Chosen One to “do a blog post for Ahrefs Evolve 2024”.

What does that entail exactly? I don’t know. In fact, Sam Oh asked me yesterday what the title of this post would be. “Is it like…Ahrefs Evolve 2024: Recap of day 1 and day 2…?” 

Even as I nodded, I couldn’t get over how absolutely boring that sounded. So I’m going to do THIS instead: a curation of all the best things YOU loved about Ahrefs’ first conference, lifted directly from X.

Let’s go!

OUR HUGE SCREEN

CONFERENCE VENUE ITSELF

It was recently named the best new skyscraper in the world, by the way.

 

OUR AMAZING SPEAKER LINEUP – SUPER INFORMATIVE, USEFUL TALKS!

 

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GREAT MUSIC

 

AMAZING GOODIES

 

SELFIE BATTLE

Some background: Tim and Sam have a challenge going on to see who can take the most number of selfies with all of you. Last I heard, Sam was winning – but there is room for a comeback yet!

 

THAT BELL

Everybody’s just waiting for this one.

 

STICKER WALL

AND, OF COURSE…ALL OF YOU!

 

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There’s a TON more content on LinkedIn – click here – but I have limited time to get this post up and can’t quite figure out how to embed LinkedIn posts so…let’s stop here for now. I’ll keep updating as we go along!



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