Launderette Ad: Spin Your Emotions with Predictive AI!

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

49.74/100

Highest Focus: A score of 88.05 occurred at 7 seconds when the shot featured the pop singer in the center of the frame capturing the main focus in the scene.

Lowest Focus: A score of 14.34 occurred at 25 seconds where the main character is seen sitting far away from the eyesight of the viewer. This may have resulted in the loss of focus of the viewer.

Highest Clarity: A score of 72.46 was achieved at the 10th second of the ad when a close up shot was placed when Beyonce removed the belt from her jeans. This added to a defined set of objects on the screen thus improving the clarity score.

Lowest Clarity: A score of 47.2 was captured at 26 seconds involving too many characters shown on camera leading to a loss of clarity on the visuals. The overlaying window screen has blurred texts on it that may have caused the reduce in clarity of the entire scene.

Highest Attention: The ad grabbed viewers' attention at 25 seconds with a scene packed with multiple elements and increased depth in camera angle, scoring an impressive 79.29

Lowest Attention: A score of 17 was recorded at 7 seconds when the scene constituted only the pop singer in the center of the frame.

Summary Analysis

Pop icon Beyoncé takes center stage as the new face of Levi’s in a bold campaign that reimagines iconic moments from past commercials. In the first ad, Beyoncé sings “Levi’s Jeans” from her latest album while dramatically removing her jeans in a laundrette, paying tribute to the famous 1985 "Launderette" ad, now a cultural classic. The campaign scores high in Focus (88.05) and Clarity (72.46), effectively delivering its creative message. However, it faces challenges with Attention (17) and Percentage Seen (34.52), suggesting it struggles to maintain viewer engagement. To improve its impact, Levi’s could consider more captivating visuals or an attention-grabbing hook to keep audiences engaged throughout.

Suggestions for Improvement

Intriguing visuals: Could use a visually striking opening scene that sets the tone for the campaign and piques curiosity.