Home Data-Driven Thinking Super Bowl Ads Call For Big Game Analytics

Super Bowl Ads Call For Big Game Analytics

SHARE:

george-musi-ddt“Data Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media.

Today’s column is written by George Musi, Head of Cross-Platform Analytics at DG MediaMind.

The Super Bowl, which will air Feb 3rd, draws the year’s largest TV audience. Last year’s game set a new record for the most-viewed TV program in history, drawing 111.3 million viewers across the U.S. and tens of millions more around the world.

The massive, real-time audience gives brand marketers unparalleled opportunity to reach a broad cross-section of the U.S. population simultaneously, a rare opportunity in light of media fragmentation. Furthermore, a significant part of that audience will tune in for the commercials — in some cases as much as for the game itself. An appealing venue for brand marketers? Indeed.

This year, advertisers are paying an average cost of $4 million (a record high) for 30 seconds of airtime. Companies will pay millions more to film and produce their commercials, increasing total investment. That means the Super Bowl represents perhaps the biggest marketing investment an advertiser may make in a single media property all year.

In an era of greater advertising accountability, where every dollar is under heavy scrutiny (particularly by the CEO), it is critical for brand marketers (even more seasoned TV advertisers) to justify the huge marketing investment.

Ultimately, each marketer will define success of their Super Bowl ads relative to its advertising objectives and role for their brand and business, which might include many data points, from raising awareness to incremental sales, revenue, and profits.

Although there are different lenses (or many different indices) that can be used to evaluate the advertising impact, the key performance indicators (KPIs) or metrics that are commonly used are as follows:

Media Measurements

  • Media Metrics
    • TV, Online & Cross-platform Impressions, Reach, Frequency, GRP
  • Brand Metrics
    • Awareness
    • Message Recall & Association
    • AttitudesFavorability
    • Consideration
    • Purchase Intent
    • Trial, Repeat Purchase or Brand Switching
    • Preference
    • Likeability
  • Social Media Metrics
    • Social (Brand, Product & Commercial) Mention Reach, Passion & Frequency
    • Buzz Generation
    • Chatter / Comments
    • Consumer Engagement & Activation
    • Reactions
    • Emotional Response
    • Followers
    • Favorites
    • Social Bookmarks
    • # of Video Downloads
    • YouTube Views & Ratings
    • Facebook Likes/Fans/Friends
    • Twitter Followers & Mentions
    • Tweets (TPS -Tweets Per Second), Including Celebrity Tweets
    • Tweeter Conversations – Reach, Frequency & Velocity
    • Google+
    • Pins
    • Tumblr Posts
    • Tags
    • Shares (Amplification Rate)
    • Stumble
    • Reddit
    • And more KPIs
  • Action Metrics
    • Clicks
    • Web Traffic
    • Brand Searches
    • Lead Generation or Long-Tail
    • Sales, Revenue & Profits
    • Direct Response

We should recognize the potential power (and important role) of social media and online video (which are increasingly becoming an integral part of the Super Bowl marketing mix), and no longer only rely on the historical bias of measuring big game ads mostly by media metrics (reach, GRP’s and Nielsen ratings) and old-school methodologies (panels, surveys and polls) with their associated cognitive biases.

It’s a whole different measurement game, because of the availability of new technology (think Second Screen), big data analytics, and a plethora of metrics that offer the ability for deep dive and quantitative analysis of the Super Bowl ads. Brand marketers (and their agencies) will have to continue to adjust (and extend) their measurement tactics as their Super Bowl campaigns evolve, balancing the relationships between traditional and new/emerging data, analytics and metrics (they are not created equal), to comprehensively evaluate the effectiveness and impact of their Super Bowl ads on target consumers. However, don’t expect it all to get figured out anytime in the near future. Like most other measurement questions, I don’t think that there is going to be one standard way to determine the overall effectiveness and ROI of Super Bowl advertising.

In the end, Super Bowl spots will need to meet two distinct measurement requirements – one measurable based on traditional TV scoring, and another based on unique dynamics (and a far more complicated mix) of cross-platform paid, owned and earned metrics (before, during, and after the game). To make the most out of their Super Bowl commercial videos, brand marketers should look at the whole picture, which means measuring and quantifying the total impact effect (and full return) of the Super Bowl video campaign, not only game-day impact.

Taken together, this multivariate approach provides a comprehensive measure of a Super Bowl ad’s effectiveness, which can be compared against other (proprietary) databases to assess relative, as well as absolute, effectiveness.

Advertisers can leverage these insights to guide strategic and tactical (pre-, in- and post-game) planning decisions toward improving Super Bowl paid, owned and earned marketing performance for years to come and to inform campaigns for other major live events such as the Olympics, Academy Awards, and March Madness.

Follow DG MediaMind (@DGitNetwork) and AdExchanger (@adexchanger) on Twitter.

Must Read

Programmatic, FAST And Queerness – The Trifecta Of Revry’s Future

The law-professional-to-queer-media-founder pipeline is not a particularly common one. But it’s exactly how Alia J. Daniels came to co-found Revry, a free streaming platform centering LGBTQ+ storylines. Revry is home to PrismRiot, a programmatic ad exchange that also connects advertisers to other multicultural and diverse-owned publishers. 

Beehiiv Brings Dynamically Inserted Podcast Ads To Its Publisher Platform

Podcasters can open their inventory to programmatic demand to complement their direct-sold host-read ads and monetize their back catalogs.

Stagwell Acquires Publisher Monetization Network Freestar

The deal is the latest sign that media buyers are moving closer to publishers to shorten supply paths and get at the audience data they need to train AI agents.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

The Healthcare Marketing Tech Company OptimizeRx Is Going Programmatic

OptimizeRx, which has software that plugs into the systems doctors use to prescribe drugs and maintain patient records, has taken its next big step into the world of programmatic through a new partnership with The Trade Desk.

Single continuous line drawing robot riding pencil rocket flying in the sky. Tech education and creativity. Future technology development. Artificial intelligence. One line design vector illustration

Q3: Omnicom’s Media Business Is Growing, But Is It Agent-Proof?

If AI agents can plan and buy media, who needs a holding company? Good question. It came up during Omnicom’s Q3 earnings on Thursday.

Netflix Touts New Measurement Capabilities As It Struggles With “Modest” Engagement Growth

Netflix’s revenue grew 12% YOY to $12.9 billion in Q3, which it maintains is in line with its forecast. Its ads business, however, is lagging slightly compared with expectations, causing Netflix to tweak its forecast for the rest of the year.