Why our metrics are so predictive
There's a reason Designalytics' predictions align with sales outcomes more than 90% of the time: We started with the outcomes, reverse-engineering our consumer-derived design metrics and success thresholds based on the actual sales performance of redesigns launched to market. The result? Unprecedentedly predictive data that's laser-focused on brand growth.
What we measure
We’ve evolved tried-and-true KPIs to accommodate today’s retail realities and developed new metrics to gauge a brand’s mental availability. The result is the most robust picture of package design performance in the industry.
Which design are consumers most likely to purchase?
What do consumers think and feel about the design on first view? Which brands own the messages that drive purchase in the category?
Does the brand have visual assets that are truly unique and well-liked? How easily can consumers conjure the design from memory, or recognize it from a distance?
How well does the design grab and hold attention?
How quickly and accurately can consumers locate the brand when actively searching for it?
Element Engagement & ResonanceWhich are the most liked and disliked design elements, and why?