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Who Watches Super Bowl Commercials According to Data?

According to Social Media, TV, and various conversations with coworkers here at Adlava who care about football, Super Bowl LI is just around the corner, and with it comes the most highly anticipated commercials of our time. In 2016, the cost to run an ad during the Super Bowl was $166,666 per second! And with good reason; (successful) Super Bowl commercials transcend advertising, with some reports stating that viewers watch the Super Bowl explicitly for the commercials. But who exactly is watching these commercials? Below is a short data story aimed at answering that question.

Visualizing Super Bowl data

If you haven’t heard, Google Data Studio was released to the public, and is pretty much my favorite thing in the world right now.

cutedata on Twitter

you thought I was kidding?

Using Google Data Studio, I imported data from Google Search Trends and Facebook’s Audience Insights tool (so this is in no way an exhaustive list of available data). You can view the live Dashboard here. Here are some takeaways:

View the live Dashboard here

Search popularity decreased from 2012 to 2015

Despite all the hype, Google Trends data suggests that there was actually a steady decrease in search interest for “super bowl commercials” and “super bowl ads” from 2012 to 2015.

super-bowl-viewer-statistics-search-trends

Does the decrease in searches for Super Bowl ads and commercials reflect a decrease in interest in the Super Bowl itself during that time? Nope:

super-bowl-search-trends

Who is interested in Super Bowl commercials?

Pulling data from Facebook’s Audience Insight tool, it looks like the majority of individuals interested in Super Bowl commercials are college educated individuals between the ages of 18-24. Curiously, the gender distribution shifts to about 98 percent male when the topic is changed from “Super Bowl Commercials” to “Super Bowl Advertising.” However, that’s a much broader topic that includes many things in addition to commercials.

super-bowl-commercial-viewer-statistics-gender

These individuals seem to fall primarily in the $50-$75K household income bracket, working in the sales, administration, and food service industries.

super-bowl-viewer-search-trends-jobs-household

According to Facebook, individuals with an interest in “Super Bowl Commercials” fall primarily under the lifestyle category of “Summit Estates” and “Firmly Established” – or upper middle class to wealthy. If you’re not familiar with Facebook’s lifestyle categories, there a great explanation of each here and here.

super-bowl-viewer-statistics-lifestyle-location

Lastly, these users tend to be homeowners, with low to medium online spending habits compared to other consumers (Facebook gets this information via Epsilon.)

super-bowl-commercial-viewer-statistics-purchase-habits

Key takeaways

  • Search popularity for “Super Bowl Commercials” & “Super Bowl Ads” decreased between 2012 & 2015
  • The downward trend for commercials & ads is not correlated with search popularity for the Super Bowl itself
  • Males & females between the ages of 18-24 are the primary audience
  • Users with an interest in Super Bowl commercials are college educated
  • Users with an interest in Super Bowl commercials make between $50-75K
  • Users with an interest in Super Bowl commercials work primarily in Sales, Administrative, & Food Service industries
  • Users with an interest in Super Bowl commercials live in households that fall under upper middle class
  • Users with an interest in Super Bowl commercials live in owned households
  • Users with an interest in Super Bowl commercials make a “low” to “medium” amount of purchases online
  • Google Data Studio is fun for everyone

Google Data Studio applications in web design

While this Super Bowl dashboard was a fun little project, it’s also an exercise in Google Data Studio applications. Imagine being able to quickly compile demographics, analytics, and behavior data in one place as a resource for all of your team members to use as a guide for the entire web design process. Making data easily accessible and easy to understand is how you enable designers and developers to make custom web experiences for the right audience


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