Understand
Behavioral Data Analysis: Use existing consumer behavior data (e.g., sales data, website analytics, social media interactions) to identify patterns and trends. By applying neuroeconomic principles, you can help companies understand factors like decision fatigue, choice overload, and pricing strategies that impact consumer behavior.
A/B Testing and Optimization: Design and conduct A/B tests for product packaging, website layouts, or advertising campaigns. By applying insights from neuroscience—such as the impact of colors, shapes, and layouts on attention and memory—you can help companies identify which versions of their materials are most effective.
Neuro-Informed Survey Design: Create and analyze surveys that tap into consumers’ subconscious preferences and biases. Use techniques like implicit association tests (IAT) to reveal underlying attitudes toward products or brands that traditional surveys might miss.
Attention and Engagement Analysis with Basic Tools: Use simple eye-tracking software (e.g., webcam-based eye-tracking tools) or mouse-tracking studies to analyze how consumers interact with digital content, like websites or ads. These tools can help identify which elements attract the most attention and engagement without the need for advanced neurovisual glasses.
Emotional and Cognitive Triggers in Copywriting: Offer services in crafting marketing copy that leverages known emotional and cognitive triggers, such as scarcity, social proof, and anchoring. This could involve optimizing product descriptions, promotional messages, and call-to-action (CTA) phrases based on principles of neuroeconomics.
Customer Journey Mapping with Neuro Insights: Map out the customer journey and identify key touchpoints where neuroeconomic principles can be applied to influence decision-making. For instance, you could suggest changes in how information is presented at different stages to reduce cognitive load and encourage purchase behavior.
Heuristic-Based Product Pricing: Use well-known pricing heuristics (like charm pricing, decoy effect, and anchoring) to advise companies on pricing strategies. These strategies leverage psychological biases, such as the tendency to perceive 
10, to drive sales.
Simple In-Store Observation Studies: Conduct in-store observation studies to analyze consumer behavior using a structured framework. For example, you can study how consumers navigate aisles, what products they pick up and examine, and how they respond to in-store marketing cues. This can provide actionable insights into optimizing store layouts and product placements.
Digital Experience Audits: Evaluate websites, e-commerce platforms, and digital ads using neuroeconomic principles. For example, assess whether the website design minimizes cognitive load, guides the user through a clear purchasing path, and uses effective visual cues to retain attention. Provide actionable recommendations for improvements.
Neuromarketing Workshops and Training: Offer training sessions or workshops for marketing teams on applying neuromarketing principles in their daily work. Topics can include effective messaging strategies, the psychology of color and design, and understanding consumer decision-making processes. These sessions empower teams to apply these insights in-house regularly.
Storytelling in Branding and Advertising: Help companies develop storytelling techniques in their branding and advertising that resonate on an emotional level. By focusing on narrative structures that trigger emotional engagement and memory retention, you can guide companies in creating content that builds stronger brand connections.
Impulse Purchase Strategy Consulting: Use insights from neuroeconomics to advise on strategies that encourage impulse purchases, such as bundling products, point-of-sale displays, and limited-time offers. Provide ongoing consultation to adjust these strategies based on sales data and changing consumer behavior.
More Technical
Eye-Tracking Studies with Neurovisual Glasses: Use neurovisual glasses to track where consumers’ eyes are drawn in-store or while viewing advertisements. This data can help identify which product placements, packaging designs, or ad elements capture the most attention, allowing for more effective product displays and marketing materials.
AI-Driven Visual Attention Analysis: Use AI to analyze images, packaging, and advertisements to identify elements that attract the most attention. This could include identifying the optimal layout, color schemes, and imagery that are most likely to engage consumers.
Emotional Response Testing: Use EEG or facial coding technology to measure consumers’ emotional responses to various stimuli, such as product packaging, advertising campaigns, or in-store displays. This data can guide companies in designing emotionally engaging marketing strategies.
In-Store Behavioral Analysis: Combine neurovisual glasses with other tracking technologies (like beacon technology or RFID) to understand shopping patterns and behaviors. Analyze which areas of the store receive the most traffic and attention, and how product placement influences purchasing decisions.
Neuro-Driven Product Packaging Optimization: Conduct A/B testing using neuroscience tools to optimize product packaging. Measure consumers’ neural responses to different packaging designs to determine which design elements lead to better recall, engagement, and purchase intentions.
Virtual Reality (VR) Simulations: Develop VR environments that simulate shopping experiences. Use eye-tracking and other neurotechnological tools to assess how consumers interact with virtual products and store layouts. This can provide insights into optimal store layouts, product placements, and marketing strategies.
Consumer Decision-Making Analysis: Use biometric and neural data to study how consumers make purchasing decisions, especially in situations involving complex choices. This could include analyzing how pricing, promotions, or product bundles affect decision-making processes.
Ad Effectiveness Testing: Use EEG, eye-tracking, or facial expression analysis to evaluate the effectiveness of advertisements. Measure attention, emotional engagement, and memory retention to determine which ad elements are most compelling and likely to drive conversions.
Subliminal Messaging and Priming Studies: Test how subtle cues in packaging, ads, or store environments influence consumer behavior. Use neuroimaging and behavioral tests to measure the effectiveness of priming techniques in guiding consumer choices.
Impulse Purchase Trigger Analysis: Study the neurological and psychological triggers of impulse buying in retail settings. Use this data to advise on in-store strategies such as point-of-sale displays, product placement near checkouts, and sensory marketing tactics.
Brand Perception and Loyalty Studies: Use neuroimaging techniques to understand how consumers perceive different brands on a subconscious level. This can reveal the underlying neural mechanisms that drive brand loyalty and help companies tailor their branding strategies to foster stronger emotional connections.
Cross-Modal Sensory Marketing: Analyze how different sensory inputs (e.g., sight, sound, touch, smell) affect consumer perception and behavior. For example, you could study how packaging texture or background music in stores influences purchasing decisions.
Cognitive Load Analysis in Advertising: Use neuroscience tools to measure the cognitive load required to process advertisements or product information. This can help companies simplify their messaging and make it more effective for consumers.