Applied Behavioral Science
For Business Growth.
Your users are not rational. They rely on cognitive shortcuts, emotional heuristics, and mental models that traditional optimization ignores. I use behavioral science to understand what users are doing, why they are doing it, and how to influence the desired action.
Get a Behavioral Audit →How humans actually
make decisions.
Behavioral economics has proven that people do not make decisions the way classical economics assumes. We do not weigh options rationally, compare all alternatives, or maximize utility. Instead, we use heuristics — mental shortcuts shaped by evolution, context, and emotion.
Daniel Kahneman and Amos Tversky's research showed that human judgment is systematically biased. We overweight losses, anchor to the first number we see, default to the path of least resistance, and follow what others do when uncertain. These are not bugs — they are the operating system of human decision-making.
Applied behavioral science means designing your digital experience to work with these cognitive patterns, not against them. When your site aligns with how the brain actually processes information, conversion is not something you chase — it becomes the natural outcome.
From observation to
behavioral intervention.
Behavioral Diagnosis
Understand what users are actually doing
Before hypotheses come observations. I deploy behavioral analytics — heatmaps, session recordings, scroll maps, and click tracking — using tools like Contentsquare, Hotjar, Crazy Egg, and Microsoft Clarity. The goal: build a forensic picture of how users actually behave on your site, not how you think they behave.
Friction & Intent Mapping
Identify why users behave the way they do
I analyze behavioral data for dead clicks (elements users expect to be interactive but are not), rage clicks (repeated clicking from frustration), excessive scrolling past key content, form abandonment patterns, and hesitation signals. These are not vanity metrics — they reveal the cognitive friction that is silently killing your conversion rate.
COM-B Behavioral Framework
Apply the science of behavior change
Every behavioral intervention is grounded in the COM-B model — the evidence-based framework for understanding and changing behavior. For a user to convert, three conditions must be met: Capability (can they complete the action?), Opportunity (does the environment make it easy?), and Motivation (do they want to?). Most conversion problems are not motivation problems — they are capability and opportunity failures hiding in plain sight.
Experiment Design & Validation
Influence behavior toward the desired action
With diagnosis complete, I design interventions using behavioral economics principles — anchoring, loss aversion, default effects, social proof, framing, and choice architecture. Each intervention targets a specific COM-B gap, names the cognitive mechanism, and predicts the expected lift before the test runs. Every change is validated through rigorous A/B testing with revenue-connected KPIs.
The cognitive mechanisms
behind every experiment.
Every hypothesis I write names a specific behavioral principle. This is not A/B testing by gut feel — it is systematic application of decision science to your conversion funnel.
Loss Aversion
People feel losses roughly twice as strongly as equivalent gains. Framing choices in terms of what users stand to lose — not just what they gain — consistently produces larger conversion lifts.
Anchoring
The first piece of information a user encounters disproportionately influences subsequent decisions. Strategic anchor placement on pricing pages, comparison tables, and lead forms shapes perceived value.
Default Effect
Users disproportionately stick with pre-selected options. Thoughtful default design in forms, plan selection, and onboarding flows can shift conversion rates dramatically without changing the offer.
Social Proof
In uncertain situations, people look to others for guidance. Testimonials, usage statistics, and peer behavior signals reduce decision anxiety and accelerate conversion.
Cognitive Load
Every additional choice, field, or decision point depletes mental bandwidth. Reducing cognitive load — fewer options, clearer hierarchy, progressive disclosure — removes friction before it becomes abandonment.
Framing Effects
The same information, presented differently, leads to different decisions. How you frame price, risk, effort, and outcomes determines whether a user converts or bounces.
Three disciplines.
One behavioral framework.
Choice Architecture
Design decision environments that guide users toward desired outcomes. Defaults, framing, anchoring, and option presentation — validated through controlled experiments.
Learn more → ServiceDigital Psychology
Apply cognitive science to B2B conversion optimization. Leverage loss aversion, social proof, and scarcity across complex buyer journeys.
Learn more → ServiceBehavioral Economics Training
Equip marketing and product teams with applied behavioral science. Workshops and intensives built for practitioners, not academics.
Learn more →
Behavioral science powers
the experimentation engine.
Every behavioral intervention is validated through rigorous A/B testing. Hypotheses are grounded in cognitive science and the COM-B model. Results are measured in revenue, not clicks. This is how behavioral science connects to the lean experimentation system that drives measurable growth.
See the Full System →Go deeper on
behavioral science.
Common questions about
behavioral science consulting.
How is behavioral science different from traditional CRO?
Traditional CRO tests surface-level changes — button colors, headlines, layouts — and hopes something sticks. Behavioral science starts with why: understanding the cognitive mechanisms driving user decisions, diagnosing behavioral friction through session recordings and heatmaps, and designing interventions grounded in the COM-B model. The result is hypothesis-driven testing that produces larger, more durable lifts because you are addressing root causes, not symptoms.
What tools do you use for behavioral analysis?
I work with the leading behavioral analytics platforms: Contentsquare for enterprise-scale session replay and zone-based heatmaps, Hotjar for heatmaps and user feedback, Crazy Egg for scroll maps and click tracking, and Microsoft Clarity for free-tier behavioral analytics. The tool matters less than knowing what to look for — dead clicks, rage clicks, u-turns, form hesitation, and scroll depth drop-offs that reveal cognitive friction.
What is the COM-B model and how does it apply to CRO?
COM-B is the evidence-based behavioral framework developed by researchers at University College London. It states that behavior requires three conditions: Capability (can the user do it?), Opportunity (does the environment enable it?), and Motivation (does the user want to?). Most CRO programs only address motivation — better copy, stronger offers. But the biggest conversion gains often come from removing capability barriers (confusing navigation, unclear CTAs) and opportunity failures (slow load times, buried key information).
How do you measure the impact of behavioral interventions?
Every intervention is tested through controlled A/B experiments with pre-registered hypotheses and revenue-connected KPIs. I measure incremental revenue lift, not just statistical significance — so you know the dollar impact of each behavioral change, not just the p-value.
Ready to apply
behavioral science?
Start with a behavioral audit. I will map the cognitive friction in your funnel using heatmaps, session recordings, and behavioral analytics — then design COM-B-grounded experiments that create measurable, revenue-connected lift.
Book a Behavioral Audit →
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