Get in touch with the CART Index team

Have questions or just want to say hi? Send us a message here or you can email us on support@cartindex.ai.

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FAQs

Answers to questions you might have about CART Index.

What does CART Index do?

CART Index analyses your retail marketing designs and gives a CART Index score of how well your design grabs attention, delivers your message, reinforces brand recognition, and triggers purchase decisions.

Who is CART Index for?

Cart Index is designed for anyone involved in creating or reviewing ad creative for retail media or commerce - whether you're part of a small brand team, a large global brand organisation, an agency managing multiple clients, or a printer responsible for artwork production.

Which types of creative can I test?

CART Index AI currently supports 18 calibrated asset types across the shopper journey. From pre-store social and catalogue ads, to eCommerce banners, in-store posters, trolley media, aisle fins, wobblers, freezer decals, and header cards. Our focus is optimising mid-to-lower funnel executions where creative directly drives conversion.

What’s the difference between CART Index and other testing tools?

Unlike tools that focus only on the “big idea” or pure eye-tracking, CART Index evaluates each creative execution in the context of where shoppers encounter it. A billboard builds awareness; an in-aisle header drives purchase. We specialise in measuring and improving these touchpoint-specific executions.

How secure is my data on CART Index?

All creative assets are stored in a secure, encrypted environment and are accessible only to the originating user account, protected by two-factor authentication. Assets are processed as data strings for analysis, never visible to other users, and never used for AI self-learning or model training

How was the AI trained?

Our review framework is grounded in decades of effectiveness research. CART Index combines insights from global eye-tracking databases, shopper behaviour studies, and A/B creative effectiveness testing. The AI doesn’t “learn” from your uploads but applies this evidence-based model to benchmark attention, clarity, branding, and call-to-action strength.