Decode serves Just Eat's Ad insights

Technology Used

Predictive AI

Predictive artificial intelligence (AI) refers to the use of machine learning to identify patterns in past events and make predictions about future events

To Measure Attention

Heatmaps

These visualize areas of the image or video that are likely to capture the most attention and areas that may receive less attention using a VIBGYOR color gradient.

Fog maps are visual representations that highlight areas of a visual field or image where viewers experience low clarity or comprehension, indicating regions that may be confusing or unclear.

Fog Maps

It quantifies the level of attention drawn by an image or video, indicating the consensus on its most captivating elements. Images/videos with numerous intriguing components tend to score lower as attention disperses. Conversely, assets with fewer focal points garner higher scores as viewer gazes converge on specific areas.

Focus Score

Saliency Maps

Saliency Maps highlight sections that are likely to be viewed by your audience; this map will only show the areas which are viewed by the users.

Attention Score

It quantifies the overall interest the stimuli has received. It is calculated based on the intensity of heat maps. If there are more intense regions, the attention value will be higher.

To Measure Clarity & Engagement

Clarity Score

It tells you if your customers will easily understand your stuff or not. It helps you see how clear your message or visuals are, so you can make them better for your audience.

Area of Interest

Define specific regions within your content for an even deeper analysis of viewer engagement.

Second by Second Analysis

This offers users deeper insights, elevating research to a new level of advanced data analysis.

Detailed Analysis of the Ad

Overall Score

51.7/100

Highest Focus: The ad reached its peak focus score of 88.56 at the 27-second mark, coinciding with the moment the brand's tagline appeared on screen. This is when viewer attention spiked to its highest level.

Lowest Focus: The focus score dropped to its lowest point of 44.86 at the 22nd second, likely due to an overwhelming number of characters on screen, causing a slight dip in audience engagement.

Highest Clarity: Clarity peaked at an impressive 93.51 at the 22-second mark, precisely when the ad unveiled the face of the brand’s delivery partner. This moment perfectly illuminated the commercial’s core message.

Lowest Clarity: The clarity score hit its lowest point of 53.82 at the 2-second mark due to the visual's inability to effectively convey the message. The scene featured five riders on bikes, their faces obscured by Squid Game-style masks, which added to the confusion.

Highest Attention: Viewer attention peaked at 73.39 at the 22-second mark, coinciding with the reveal of the delivery partner's face and the presence of multiple characters in the scene, which significantly boosted the attention score.

Lowest Attention: The attention score reached its lowest point of 14.54 at the 27-second mark, likely due to the lack of significant activity or detail in the scene, causing the dip.

Summary Analysis

To celebrate the highly anticipated release of Squid Game's second season, Just Eat has unveiled an immersive campaign that brings the thrill of the show to life. At its core is an engaging interactive experience where participants must complete a meal-themed task while avoiding the watchful gaze of the iconic Young-hee doll. The campaign, which reached a highest focus score of 88.56 and a highest clarity score of 44.86, is supported by dynamic TV and social media advertisements for maximum visibility. However, some scenes saw a dip in engagement, with the lowest attention score at 14.54 and a low percentage seen at 30.19, possibly due to less impactful visuals. A dedicated microsite ties the initiative together, allowing fans to test their skills and compete for exciting cash prizes, combining entertainment with participation to capture the essence of the series while rewarding viewers.

Suggestions for Improvement

Refine Messaging to Improve Clarity: Simplify instructions and ensure messaging is concise and visually prominent. Use voiceovers or on-screen text to guide participants seamlessly through tasks.