Your customers are not rational. Your strategy should not be either. We design decision environments that produce systematically better outcomes.
Decades of behavioral research have documented exactly how human decision-making diverges from the rational-agent model. Loss aversion, anchoring, present bias, scarcity, social proof, framing. These are not edge cases. They are the operating system of every purchase decision.
Most organizations design pricing, conversion funnels, and customer experiences as if the rational-agent model were true. That mismatch is what produces conversion plateaus, abandoned carts, and pricing power left on the table. We close the mismatch by engineering decision environments around how brains actually work.
Anchoring, social proof, loss framing, and choice architecture, composed as one decision environment.
Design the first number a customer sees so the rest of the journey is evaluated against the right reference point. Affects pricing pages, plans, and product comparison.
Loss looms twice as large as gain. We rewrite value propositions, retention messaging, and abandoned cart flows around what is being lost, not just gained.
Review aggregation, peer validation, and authority signals positioned at the decision moment, not buried in a testimonial section nobody scrolls to.
Authentic scarcity signals (inventory, deadlines, cohort caps) integrated honestly into the funnel. No fake countdowns. The behavior survives without the lie.
The number, ordering, and framing of options. Decoy effects, default selection, progressive disclosure designed to make the better choice the easier choice.
Cognitive load measured at each step of the journey. Friction added where customer protection requires it, removed everywhere else.
2 to 3 weeks. Decision audit across the funnel. Mapping cognitive load, friction points, and the implicit choice architecture currently in place.
4 to 6 weeks. Specific interventions designed against the diagnostic. Each intervention paired with a measurable hypothesis and validation method.
A/B and multivariate testing governed by causal inference. Each behavioral mechanism validated against a holdout before it ships at scale.
Successful interventions documented, generalized, and rolled across adjacent surfaces. Behavioral wins compound when the underlying decision system improves.
Behavioral economics applied to the purchase journey. Trust framing and friction removal lifted conversion and cut abandonment.
Read Case Study →Omnichannel journey redesign with behavioral interventions at the digital-to-physical handoff.
Read Case Study →CRO architecture rebuilt around decision-stage friction maps and trust signals at commit.
Read Case Study →Three questions on whether your commercial system is built around real decision mechanics.
Behavioral economics consulting applies findings from psychology and economics to understand how people actually make decisions, not how rational models predict they should. Consultants use this to design choice environments, pricing structures, and communication strategies that produce better outcomes for both organizations and consumers.
By identifying and systematically addressing the cognitive friction points in the customer journey. Loss aversion, anchoring, social proof, and scarcity are not marketing buzzwords, they are documented psychological mechanisms that, when properly architected into a conversion funnel, produce measurable and reproducible uplift.
E-commerce, financial services, healthcare, hospitality, and any industry where consumer decision quality has direct revenue impact. The ASOS engagement, which produced +81% conversion uplift, demonstrates the potential in high-consideration digital retail environments.
No. The distinction between ethical persuasion and manipulation is transparency and alignment of interest. We design choice environments that help people make decisions that are genuinely better for them, not environments designed to extract value from people who would otherwise choose differently.
Most engagements produce measurable results within 90 days. A typical engagement begins with a diagnostic phase (2 to 3 weeks), followed by intervention design and testing (4 to 6 weeks), with deployment and measurement rounding out the first quarter.
Because behavioral interventions target the decision-making process itself rather than increasing traffic or spend, the returns compound over time as optimized decision architectures continue to perform. ROI depends on the scope of intervention and the complexity of the decision environment.
Cognitive mechanisms, composed and tested as a system, not isolated nudges.