Optimize your ads, pre-launch.
Validate, upgrade, and generate creatives, backed by the cognitive science of how consumers decide.
Attention Map
Visualize where viewers look in the first 3–5 seconds. Instantly identify what grabs attention and what gets ignored
A/B Testing
Compare two creatives side by side and evaluate performance instantly.
Attention Score
See exactly what percentage of attention, goes on what ad element.
Performance Scores
Understand what works for your ad objective before launch.
Emotional Analysis
Understand the real core emotions triggered when viewers see your creatives.
AI Insights
Understand why your creative performs the way it does. Get strategic recommendations based on visuals, messaging, and emotional impact.
Creative Upgrade
Improve your existing creative with AI-driven enhancements that strengthen hierarchy, clarity, and attention flow.
Creative Generation
Generate new creatives built around attention, emotion, and performance principles from the start, using your brand kit.
Every read is checked against what has actually worked before
An attention map shows where eyes went. Turning that pattern into a verdict takes something to check it against: a dataset of 1.2M+ real campaigns, each one mapped against its real market outcome.
That dataset is what tells the model a dropped-off attention curve on a CTA has actually cost campaigns results before, or that a certain kind of visual hierarchy tends to hold attention longer in some categories than others.
Every study run through the engine adds another data point to this set, so the read gets sharper the longer the engine runs.
1.2M+
Real campaigns, mapped against real market outcomes
Across industries
CPG, D2C, retail and more, so the model knows how norms shift by sector
Across product categories
What holds attention on a snack ad and a financial services ad isn't the same thing
Across markets
Attention and recall don't behave identically everywhere; the dataset reflects that
Proven Uplift
Stronger Recall
De-risk Spend
Run it yourself, or build it into what you already use
The platform
Upload a creative and get the read back in minutes: attention map, cognitive scores, an emotional read, and recommendations. No engineering work needed to get started.
API & integrations
Call the same engine straight from your own workflow: a creative pipeline, an internal tool, a DAM, or a product you're building for your own clients.
Real-World Impact
See how consumer science insights have shaped major brand decisions.
Tropicana(2009)
In 2009, Tropicana invested $35 million in packaging its orange juice, which turned out to be a failure. They changed their iconic orange with a straw picture into an uninteresting design, and they positioned the logo on the side, where one wouldn't notice it right away. Loyal customers got confused, sales went down 20% in two months, and Tropicana spent over $50 million to revert back to the old design. This example is often used to illustrate how important the aspect of consumer recognition is, in branding.
Dolce & Gabbana
An eye tracking study of a Scarlett Johansson starring Dolce & Gabbana ad found that consumers looked mostly at her face, and mainly bypassed the product being promoted. This illustrates just how much celebrity influence can dominate over the product itself, as well as confirming the brand's strategy of using an actor's image to confer an identity on the fragrance.
Sunsilk
An eye tracking study on a Sunsilk print ad found that when the model looked directly at the viewer, people mostly ignored the product. But when the ad was redesigned and the model looked at the Sunsilk bottle, viewers followed her gaze and focused on the product. That became proof that minor design changes could make a huge difference in grabbing consumer attention.
