How To Mix Knowledge In Looker Studio With Sensible Examples

How To Blend Data In Looker Studio With Practical Examples

Knowledge mixing in Looker Studio (previously Google Knowledge Studio) is a robust approach that lets you mix information from a number of sources in a single report or visualization.

You’ll be able to create customized charts and reviews that present a complete view of your information, bringing collectively insights from a number of information sources.

This system could be notably helpful for search engine marketing execs and digital entrepreneurs when it is advisable evaluate information from completely different sources.

How search engine marketing Specialists Can Use Knowledge Mixing

Since Google Search Console (GSC) and Google Analytics (GA) are completely different information platforms, you may’t see the social media visitors to articles and common place on the similar time.

It may be notably vital to investigate if there’s a correlation between social popularity and rating place in search. With Looker Studio constructing, now you can construct such correlation reviews.

Mixing information on web site visitors, bounce charge, and time on website with key phrase rating information can assist search engine marketing execs achieve a greater understanding of how web site efficiency impacts search engine rankings.

How PPC Entrepreneurs Can Use Knowledge Mixing

PPC entrepreneurs can evaluate information throughout a number of advert platforms reminiscent of Google Adverts, Fb Adverts, and LinkedIn Adverts.

By mixing information from these platforms, entrepreneurs can evaluate metrics reminiscent of price per click on (CPC), conversion charges, and ROI to determine which platform is performing finest.

Additionally, they’ll mix information from a number of campaigns, permitting them to achieve a extra holistic view of their total marketing campaign efficiency and determine patterns or developments that might not be seen in particular person campaigns.

Now let’s dive and be taught with use case examples.

How To Mix Google Analytics 4 And Google Search Console Knowledge

We’ll construct a blended information supply to search out out if social media visitors and Google Uncover visibility are correlating.

This might be an fascinating experiment, particularly given Gary Illyes recently said that social media might play an vital function in enhancing indexability.

To mix information from two sources in Looker Studio, we’ll want so as to add each sources to our undertaking.

Should you haven’t already added the sources, let’s learn to do this step-by-step. Should you already know the way to do that, you may skip and proceed below.

How To Add Google Analytics 4 Into Looker Studio

Go to Assets > Handle added information sources.

Manage added data sourcesScreenshot from GA4, Might 2023

Within the popup dialog, click on the Add information supply hyperlink and select your Google Analytics 4 (GA4) property.

How To Add Search Console Knowledge Into Looker Studio

Go to Assets > Handle added information sources as within the earlier step and seek for “search console” within the popup dialog to discover a connector.

Select Google DiscoverScreenshot from Looker Studio, Might 2023

Choose URL impressions > Uncover so as to add Google Uncover information into Looker Studio.

Select Google Discover

Now, let’s add information tables to our dashboard from every supply.

In spite of everything these steps, you will note information from every supply, however you’ll discover that GSC has a full URL, whereas the GA4 desk has solely the trail.

We should always carry each information into the identical format and set the identical ID for the dimension area to have the ability to mix them.

It’s vital to make sure that the IDs (or Names) and sorts of the fields you need to mix are constant throughout all information sources.

(Looker Studio does additionally match by area identify, however I extremely suggest utilizing the identical Fields IDs, too.)

General, the quickest option to mix information is to pick out each tables, right-click on them, and select “Mix information” from the menu.

Blend dataMix information.

However for those who attempt it with completely different sources, you’ll discover that the blended information doesn’t make sense, as proven under.

Wrong dataFlawed information.

In some circumstances, this will work, for instance, once you mix information from the identical supply – however when mixing information from completely different sources, we have to create a brand new area adjusted “Web page path,” which may have the identical format and ID.

Let’s create a “Web page path” within the GSC supply as a brand new area that may use the REGEXP_REPLACE system to take away the host from the URL.

The important thing level right here is to set the sphere ID “path,” which would be the similar once we create it in GA4.

Thus, Looker Studio is ready to match dimensions and merge them.

Do the identical with the GA4 supply and create a “Web page path” area with the ID “path.”

Page path new field in GA4 sourceWeb page path new area in GA4 supply.

Now within the tables, we’ve added exchange dimension with the newly created area “Web page path” (you may identify it something to simply differentiate them, the secret’s to have the “Area ID” be the identical).

Tables that use page path new field.Tables that use web page path new area.

Now you’ve got your information able to be blended by utilizing “Mix information” from the right click dialog proven above. However earlier than that, we need to ensure we now have solely social visitors from GA4. For that, we have to apply a filter to the GA4 desk by following these steps:

Add a Filter > Create a Filter, and within the popup dialog, set the filter identify and situation Medium comprises “social.”

Now you may mix information and have social visitors and Google Uncover impressions side-by-side.

Impressions and sessions from social in one tableImpressions and classes from social in a single desk.

Should you come throughout “null” values within the impressions column for older URLs, it’s as a result of GSC solely has information obtainable for newly revealed URLs.

Because of this, information for older URLs might not present up in GSC, which can lead to “null” values.

This can be a widespread incidence and never essentially indicative of any points along with your information or monitoring.

Under is a simplified diagram that reveals what mixing means.

Diagram which shows how data blending worksPicture created by writer, Might 2023

However what if we need to see additionally how impressions and social visitors evolve over time?

For that, we have to edit the blended information supply and drag it right into a dimensions listing and likewise a Date area.

(In different circumstances, you could want to copy the step for changing dimensions into the identical format and ID with the Date area, too. However on this case, since they’re in the identical format already and have the identical identify, it is going to work, as Looker Studio additionally matches utilizing area identify.)

Add a date fieldAdd a date area.

Now you may select the Time Sequence chart sort to see how Google Uncover impressions and social visitors align with one another.

Since impressions are a lot larger than social media visitors, it helps to decide on a logarithmic scale for higher visualization.

After analyzing the info, it’s clear that there’s a sturdy correlation between impressions in Google Uncover and social visitors. The ups and downs of impressions align very carefully with social visitors patterns, indicating that elevated social media visitors results in enhance visibility in Google Uncover.

(Please all the time bear in mind correlation shouldn’t be causation.)

Google Uncover’s rating algorithm may be very completely different from Google Search.

Now, you could ask if there’s a correlation between rating and social visitors. Let’s discover that, too.

All of the steps are the identical with the distinction being that you must add GSC’s net information desk and embody common place as a metric.

GSC web search data table GSC net search information desk.

After creating a brand new area, “Web page path,” with the identical Area ID “path” and mixing, we see that there isn’t any correlation between social visitors and rating place within the search engine outcomes web page (SERP).

You’ll be able to see that the rating place isn’t altering whereas social visitors goes up and down. Thus, we are able to conclude that rating place doesn’t correlate with social media visitors.

Social traffic and ranking positionSocial visitors and rating place. (Log scale)


With these examples, you may see what number of helpful information insights you may get by combining information from completely different information sources.

Lots of you’ve got entry to Ahrefs, Semrush, on some other search engine marketing instrument, and you’ll attempt to mix backlink information with Google Analytics referral visitors information to know the impression of your backlinks in your web site visitors.

The important thing precept right here is to create dimensions in two information units with the identical Area IDs, which might be utilized in mixing.

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Featured Picture: Andrey_Popov/Shutterstock

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