Case Study: Jellyfish speeds up UX audits and validates designs faster with EyeQuant

Jellyfish boosts IcyHot page UX score from 54 to 72 with EyeQuant

Jellyfish, a global digital marketing agency, faced the challenge of understanding how users visually perceive websites before they click, which traditional analytics and slow, biased eye-tracking studies couldn't capture. They used EyeQuant's AI-powered service to predict design performance and gain this insight faster during client pitches and audits.

By implementing EyeQuant, Jellyfish could instantly generate attention maps and clarity scores to validate redesigns predictively before launch. This solution helped them win a pitch for IcyHot by proving their proposed changes would improve UX scores from 54 to 72, leading to a broader client relationship. EyeQuant provided Jellyfish with faster audits, greater credibility in client conversations, and earlier validation of design decisions.

Jellyfish