M&M’s 'Bad Passengers' is Most Engaging Ad of Super Bowl 2019

Realeyes’ #EmotionAI Research Shows Christina Applegate Spot Was Super Bowl 2019 Winner After Attracting Most Attention And Strongest Emotional Response

That’s according to new data released today by #EmotionAI company Realeyes, which used webcams and its face-reading technology to rank this year’s Super Bowl ads based on how much attention and emotional engagement they generated from viewers.

Realeyes, whose AI tech helps brands such as Coca-Cola and Hershey’s maximise the impact of their video marketing, found the M&M’s ad was the most engaging ad aired during the Big Game last night (Sunday, February 3).  

The 30-second commercial, which stars Christina Applegate struggling to stop the M&M's characters Red, Yellow and Orange from misbehaving on the back seat, attracted an overall score measuring emotional impact and level of attention of 9.72 out of 10.


The ad finished at the top of the pile after eliciting the joint second strongest emotional responses from viewers and joint third highest levels of continuous attention, putting it just ahead of Bubly’s “Michael Bublé vs Bubly” (score 9.68) in second spot.

Mint Mobile’s “Chunky Style Milk That's Not Right” and Dietz & Watson’s “Craig Robinson Likes Dietz Nuts” were joint third (score 9.66).

Other brands to feature in Realeyes’ top 20 Super Bowl 2019 Ad Effectiveness Chart include Doritos, Pringles, Audi, Pepsi, T-Mobile, Bud Light and Microsoft.

High-profile campaigns from Burger King, Google, Amazon and Kia all failed to make the top 20. Bumble’s “The Ball is in Her Court”, featuring tennis star Serena Williams, finished last (62nd place).

Realeyes CEO Mihkel Jäätma said: “The Patriots may have won the game, but M&M’s was the real winner of the Super Bowl last night, producing an attention-grabbing ad with real emotional punch.






Bad Passengers ft. Christina Applegate














Michael Buble vs. Bubly












Dietz & Watson


Craig Robinson Likes Dietz Nuts












Mint Mobile

Chunky Style Milk That's Not Right

10 99





WeatherTech CupFone 10 95 9.5 9.52


Realeyes’ 2019 Super Bowl Effectiveness Study was compiled using the AI company’s facial recognition technology, which measured the attention levels and emotional reactions of more than 1,300 US consumers as they watched 62 of the ads broadcast during the 2019 Super Bowl on Sunday, February 3rd.

The software tracks and interprets consumers’ facial expressions and body language as recorded by their webcams while watching Super Bowl 2019 ads.

A 150-person sample audience was prompted to opt-in via their webcam to view the video content. Each viewer watched the content on their own devices, representing a natural and authentic viewing experience. Realeyes’ technology analysed the subtle facial expressions and body language of the sample audience to identify the subconscious emotional responses to the content.

Ad rankings are based on the following:

  • EmotionAll® score: A 1-10 score based on the composite of four metrics: Attraction, Retention, Engagement and Impact – % Better than being the score’s position against every video tested to date on the Realeyes database of over 18,000 videos.

  • Attention: A 1-10 score which measures just how attentive or distracted viewers are while watching. The metric is measured using webcams, looking at participants’ body position and head/eye movements.

These scores were then fed into an algorithm to determine an overall score out of 10. The higher the score, the more effective the ad is at grabbing attention and eliciting strong emotional responses. Realeyes has more than 18,000 ads in its database.


About Realeyes

Realeyes uses the power of AI to help brands measure the effectiveness of their creative at scale.  We’ve taught computers to read human emotions and track our attention levels, enabling marketers to transform the impact of their content, make more informed media decisions and eliminate media waste. We also run custom brand surveys and use AI to capture and categorise the word-for-word sentiment of viewers’ written responses about a brand or ad, giving brands an additional layer of data to maximise the power of their marketing campaigns.