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How AI Eye Tracking Can Help Businesses Make Better Marketing Decisions
Traditional market research has a systemic blind spot. For decades, brands have relied on what consumers say they do through focus groups, surveys, and post-purchase questionnaires. But human beings are notoriously unreliable narrators of their own
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You’ve run the creative test. Participants said they liked the ad. Stakeholders want proof it will stick. But when the campaign launches, …
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When media spend is wasted, most people blame targeting or bid strategy. The real damage, however, often happens earlier. It happens during …
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Ten interviews in, your report is late, your team is still arguing about what “confused” means as a theme, and a stakeholder …
How to Test UI UX for Friction Points Your Users Can’t Articulate
You run a UX test. Participants say the experience was easy, but the recordings show cursor thrashing, hesitation loops, and dead clicks. …
What ‘Engagement’ Actually Means in Live Research (and How to Quantify It)
You just wrapped a focus group. The moderator says everyone was “really engaged,” but the transcript tells a different story. Half the …
Measuring What Matters: A 5-Step Checklist for Setting Up AOIs with Eye Tracking AI
Two teams can analyze the same stimulus with eye tracking and reach opposite conclusions. The problem isn’t usually the data. It’s that …
Using Gaze Fixation Metrics to A/B Test Ad Creatives and Declare a Winner
You run the test, collect the data, and walk into the readout. Then you hear it: “But everyone liked Creative B.” The …
Spotting User Confusion: How Eye Tracking AI Reveals the “Gaze Plot Loop” in Your UX
Participants will tell you the page “made sense.” Then you watch the recording and see their eyes bounce between the same two …
Gaze Plot Analysis for Ad Creatives: How to Trace the Viewer’s Journey
Stakeholders love asking, “So what? People looked at it, right?” That question is why gaze plot analysis needs to go beyond simple …
