25 august 2023
Under the Hood of Ad Benchmarking: Creativity
In the first installment of “Under the Hood,” we talked about the development of the industry database, comprising more than 13,000 high-performing industry ads from 17 diverse industries. In this installment, we will share how the Creativity Analytics was built on atop of the database.
Learn about the cultural models behind our AI apps and how they make data analysis a breeze.
In the dynamic world of advertising, creativity is a key differentiator for best-performing ads. At Quilt.AI, we used a fine tuned AI model in order to decode creativity.
We first defined creativity by identifying three fundamental aspects:
is about originality and unlike anything one would have seen before.
is about resonance with today’s audience and touching on pertinent issues.
Visual and Aesthetic Appeal
is about captivating visuals and stunning cinematography.
Upon defining each creative element, we developed a creative training subset using the initial industry database of high performing ads. We further added to this list by identifying ads that have won the Cannes Lions awards or shown during the Superbowl. These events were used as a proxy to identify unusually creative ads.
Within this creative training subset, we had to be even more selective in order to truly reflect creativity. Considering each frame of the video, we removed transition scenes, single-color frames, and scenes that only contained logos and branding.
Following that, we embarked on a multi-dimensional exploration. We transformed the creative training dataset into vectors across multiple dimensions, by embedding each ad frame into a datapoint in a vector space. This process encapsulated more than mere visual elements like colors and shapes, reaching into the intricacies of photographic compositions and nuanced aesthetic principles.
Once we embedded the ad frames into vectors, we can do sophisticated semantic similarity scores, effectively converting “creativity” into “maths”.With the Creativity AI model, we are not merely classifying or categorizing; we are pioneering an analytical framework that connects the concept of creativity to tangible, actionable insights.
As we continually expand the creative training subset, the Creativity AI model will only grow more robust, further enhancing our ability to decode and apply creativity’s intricate dimensions. This journey under the hood reveals a complex but elegant dance of data and design, mathematics and art.
Sphere’s Ad Benchmarking app uses predictive AI to rapidly analyze video data frame by frame and compare how your ads perform against various industry benchmarks.
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