MAKE CONFIDENT CREATIVE DECISIONS BEFORE IDEAS, OPINIONS, AND REVISIONS SPIRAL OUT OF CONTROL.
Super K predicts how people will react to your packaging, ads, and eCommerce visuals using knowledge learned from millions of real consumer evaluations.
FROM ENDLESS OPTIONS TO CLEAR DECISIONS
Creative work has no natural finish line.
There is always another version to test but time and budgets are limited.
Super K helps you move faster at the early stages. You can test unlimited creative options in minutes, at a fraction of the cost.
SUPER K BUILT ON MILLIONS OF REAL CONSUMER EVALUATIONS AND PROVIDES YOU WITH:
- Clear, easy-to-read performance metrics
- Benchmarks for each metric and product category
- One Super K score to compare options side by side
ADVERTISING
PACKAGING
ECOMMERCE
CONCEPTS & IDEAS
ONE PLATFORM FOR ALL YOUR CREATIVE VISUALS
COMMENTS THAT TURN INSIGHT INTO IMPROVEMENT
Super K does not stop at scores.
For every creative, Super K provides clear, practical comments that explain what works, what does not, and how to improve results based on your business goal.
HEATMAPS THAT SHOW WHERE ATTENTION GOES
Heatmaps show where people look, focus, and notice first.
They are built on large-scale eye-tracking and click-test data from real consumers, making visual attention easy to understand without complex analysis.
BUILT TO WORK INSIDE YOUR SYSTEMS
Super K is available both as a platform and through an enterprise-ready API.
The API provides access to Super K models, metrics, predictions, and category benchmarks, using the same underlying data and validation framework as the user interface.
BUILT ON REAL DATA, BENCHMARKS, AND STRONG MODELS
Super K is built on a large and continuously growing base of proprietary consumer data. Our models are trained on more than 20 million consumer tests conducted with real participants, including ratings, choices, eye-tracking, and click-test data. We also maintain a benchmark database of over 300,000 category-specific references, enabling results to be interpreted in a relevant competitive context with prediction accuracy consistently exceeding 85% within validated use cases.