AI Marketing Lab

Supporting ResearchMind, interface, and conversion

Psychology and conversion research that informs the AI Marketing Lab. Patterns behind attention, emotion, and CTA design that keep AI marketing systems feeling human.

5 live studies

Field-tested patterns

Practical takeaways

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Studies

Live research

Mind and interface studies that keep AI marketing systems grounded in how people notice, feel, and decide. Findings stay practical.

Experimental2023

12 min read

Neural Pattern Recognition in Brand Interactions

I mapped how people encode and recall brand moments across digital flows. For AI marketing systems, consistent interaction patterns beat novelty when you want recognition that feels familiar, not forced.

I teamed up with

Stanford Neuromarketing Lab

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Field Study2022

15 min read

Emotional Response Mapping in Digital Interfaces

I measured how common UI patterns land emotionally in real sessions. That map guides how I shape AI-assisted journeys so the interface feels calm, clear, and human instead of clever for its own sake.

I teamed up with

MIT Media Lab

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Quantitative2023

16 min read

Visual Hierarchy Optimization Through Eye Tracking

I used eye tracking to see where attention actually goes before a click. The findings help me place proof, offers, and next steps where AI-driven pages need them, without guessing from heatmaps alone.

I teamed up with

UC Berkeley Vision Science

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Mixed Methods2022

14 min read

Psychological Triggers in Call-to-Action Design

I tested which CTA cues change decision speed and follow-through. The useful ones are quiet: clarity, timing, and perceived risk. I use that when AI systems write or place the ask.

I teamed up with

NYU Psychology Department

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Neuroscience2023

13 min read

Microinteractions Study: Neural Reward Mechanisms

I studied how tiny feedback moments reinforce progress without turning the product into a slot machine. Those mechanics inform AI marketing UX that rewards completion, not endless stimulation.

I teamed up with

Harvard Cognitive Science Lab

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Field guides

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Practical strategies and first-person notes from shipping AI marketing systems live in the articles archive.

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