The floral design industry is blooming with innovation, but challenges like inflation, tariff uncertainties, and greenwashing have made it tough for businesses to stand out. New Age Floral, a leader in sustainable floral design since 2020, faced flat sales and needed answers to critical questions about pricing, messaging, and customer preferences. By partnering with Subconscious AI, Fractional CMO Aaron Ziemann, and Subconscious AI Advisory Partner Michelle Seay Baker, New Age Floral transformed its strategy, saved $65,000 in research costs, and unlocked rapid revenue growth potential. Here’s how they did it with Subconscious.

The Challenge: Navigating a Competitive, Greenwashed Market

New Age Floral’s mission is clear: eliminate unsustainable products like green foam bricks with eco-friendly alternatives like OshunPouch®. However, economic pressures and misleading “green” claims from competitors created uncertainty. The company needed to understand:

• Which product features and price points would drive sales?

• How to differentiate their sustainability messaging, particularly “home compostable” vs. “commercially compostable”?

• What slogans would resonate with florists and eco-conscious consumers?

• How high could they price their products without losing market share?

Because traditional market research methods that are slow, costly, and often biased weren’t an option, New Age Floral turned to Subconscious AI’s synthetic agent simulations for a faster, predictive, and cost-effective solution.

The Solution: A Five-Phase AI-Driven Approach

New Age Floral collaborated with Subconscious AI in a five-phase process, leveraging AI causal research experiments and conjoint price analysis with a final sample size of 125 respondents. Here’s how each phase unfolded:

Phase 1: Identifying Key Product Features

Objective: Determine which features drive purchases of eco-friendly floral foam.
Subconscious AI Feature: Feature Importance
Process: High-level experiments evaluated brand names, prices, and product features.
Result: Price emerged as the dominant factor influencing consumer decisions, highlighting the need for affordability in eco-friendly products.

Phase 2: Refining Sustainability Messaging

Objective: Assess whether “home compostable” or “commercially compostable” resonates more.
Subconscious AI Feature: Feature-Level Importance
Process: Experiments focused on sustainability terms, adding “Compost-ability Type” to the analysis.
Result: “Home compostable” was the clear favorite, appealing strongly to eco-conscious consumers.

Phase 3: Optimizing Price Points

Objective: Identify price ranges that maximize sales.
Subconscious AI Feature: Feature-Level Importance
Process: Current New Age Floral price ranges were tested to find the sweet spot for consumer purchases.
Result: Sales dropped significantly above $100, indicating a need for competitive pricing.

Phase 4: Crafting Resonant Messaging

Objective: Determine which slogans and ad copy resonate with florists and consumers.
Subconscious AI Feature: Feature-Level Importance
Process: Experiments tested slogans and ad copy alongside key features (brand, price, compost-ability type).
Result: Eco-conscious consumers preferred “Certified True Compost-ability,” while “The Flat-Pack that Pays for Itself” appealed to both eco-conscious and non-eco-conscious audiences, broadening market reach. The top-performing ad copy was: “Ending the greenwashing noise with the only floral stabilizing mechanic that is independently certified home-compostable, eliminating micro-plastics with a zero-waste lifecycle.”

Phase 5: Maximizing Market Share

Objective: Find the ideal price to maintain market share without reducing demand.
Subconscious AI Feature: Market Performance Simulator
Process: Multiple scenarios compared the OshunPouch® against competitors at various price points.
Result: A price of $60 was optimal for maximizing market share while sustaining demand.

The Results: Clarity, Savings, and Growth

Through Subconscious AI’s agile, iterative experiments, New Age Floral gained critical insights:

• Price Sensitivity: Consumers prioritize price, with sales dropping above $60.

• Sustainability Messaging: “Home compostable” drives purchases among eco-conscious buyers.

• Broad Appeal: The slogan “The Flat-Pack that Pays for Itself” attracts both eco-conscious and general audiences.

• Optimal Pricing: A $60 price point maximizes market share without sacrificing demand.

• Top Ad Copy: Messaging focused on “independently certified home-compostable” and “zero-waste lifecycle” cuts through greenwashing noise.

These findings enabled New Age Floral to:

• Save $65,000 in research costs compared to traditional agencies.

• Reduce Risk: Predictive insights based on consumer behavior ensured a less risky campaign launch.

• Accelerate Revenue: Actionable insights within weeks allowed faster campaign deployment, driving sales sooner.

The Future of Market Research

New Age Floral’s success showcases the power of AI-native market research. Unlike traditional surveys, Subconscious AI’s generative agent simulations provide dynamic, predictive insights, enabling businesses to navigate complex markets with confidence. This case study, driven by a human-AI collaboration between Aaron Ziemann and Michelle Seay Baker, demonstrates how Subconscious AI empowers companies to:

• Strengthen strategic marketing direction.

• Minimize campaign risks.

• Unlock rapid revenue growth.

As the floral industry faces growing demand for sustainability 75% of global consumers rank it among their top five purchase drivers New Age Floral is well-positioned to lead with clear, authentic messaging and competitive pricing.

Curious if Subconscious.ai can transform your business? Connect with us at Subconscious.ai to explore how our platform can deliver actionable insights for your market.

Nintendo’s Charm Meets Market Resistance

Nintendo President Doug Bowser has a clear ambition: to make the Nintendo Switch 2 appeal to the "broadest set of players possible." The company is counting on its legacy of family-friendly gameplay and beloved franchises to win over both loyal fans and new players. But while Nintendo's charm is undeniable, data from a new study powered by Subconscious AI suggests it might not be enough.

Nintendo is sticking with a winning formula for the Switch 2. But will it be enough? | CNN Business

Between a higher price, a challenging economy in which consumers are struggling to afford everyday items let alone game consoles and more competition, the Switch 2 arrives at an unusually difficult time.

www.cnn.com/2025/04/07/tech/nintendo-switch-2-games-price/index.html?utm_source=blog.subconscious.ai&utm_medium=newsletter&utm_campaign=blog

A rigorous behavioral simulation from Subconscious AI reveals that pricing strategy is the single most influential factor in driving consumer engagement and purchase excitement for the Switch 2. In an economic climate where disposable income is tight, Nintendo’s decision to launch at a reported $450 price point, with games ranging from $80–$90, is seen as risky—even alienating.

Key Insight: Pricing Trumps All

The simulation, which leveraged 107 synthetic respondents and answered over 950 decision-focused questions, found that price sensitivity is the number one determinant of engagement—far outweighing marketing spend, game catalog size, or social media efforts.

Top three engagement drivers:

• Switch Price Point ($241 entry-level) — 22%

• Exclusive Games — 25%

• Affordable Online Subscription — 16%

Mindset Breakdown: Who’s Buying (and Why)

The study revealed three core customer mindsets:

1. Engagement-Driven Marketers (39%) — Value affordability and exclusive games.

2. Price-Sensitive Shoppers (35%) — Seek balance between cost and social/community value.

3. Exclusive Content Enthusiasts (25%) — Prioritize expansive libraries and major retailer availability.

For Engagement-Driven and Price-Sensitive users, the optimal strategy combines a $241 entry price with a diverse exclusive game catalog and a basic $14/month subscription.

The Cost Conundrum: What Consumers Are Saying

On X (formerly Twitter), frustration is mounting. Some common reactions include:

• "$450 for the console, $90 games, and a paid camera? That’s ridiculous."

• “I canceled my preorder. Feels like they’re charging for every basic feature now.”

These comments reflect a disconnect between Nintendo’s pricing strategy and consumer expectations in today’s economy.

Even Nintendo’s leadership is aware of external risks. President Shuntaro Furukawa recently acknowledged the impact of tariffs and rising costs of living, saying Nintendo is “prepared to adjust” if economic conditions deteriorate.

Causal Marketing Strategy: What Should Nintendo Do?

The Subconscious AI platform simulated various market scenarios and found the most effective strategy for Switch 2 includes:

• Entry-level price of $241

• Seven or more exclusive games at launch

• Online subscription at $14/month

• Targeted national campaigns around $135M spend

• Regional retailer partnerships, not global distribution

This optimized strategy not only maximizes reach but significantly boosts perceived value without overwhelming consumers with premium add-ons.

Lesson From SaaS: AI-Powered Pricing Works

Subconscious AI’s behavioral simulation isn’t just academic. One of their SaaS clients increased revenue by 300% by aligning pricing and packaging with simulated consumer behavior. This type of precision marketing—validated at up to 90% accuracy vs. human studies—offers Nintendo a proven alternative to gut-based pricing models.

The Road Ahead: Can Nintendo Course-Correct?

Nintendo’s ability to adapt will determine whether Switch 2 can avoid the fate of other premium products launched during downturns. The message is clear:

Nintendo must consider bundling exclusive games, lowering the entry price, and expanding its subscription offering to win over today’s cautious consumer. As of now, data suggests the brand’s current path could limit adoption to only the most loyal fans.

Nintendo is sticking with a winning formula for the Switch 2. But will it be enough? | CNN Business

Between a higher price, a challenging economy in which consumers are struggling to afford everyday items let alone game consoles and more competition, the Switch 2 arrives at an unusually difficult time.

www.cnn.com/2025/04/07/tech/nintendo-switch-2-games-price/index.html?utm_source=blog.subconscious.ai&utm_medium=newsletter&utm_campaign=blog

What Drives Your Gaming Purchases?

Is it the price? The exclusives? The community?
Join the conversation on Subconscious AI’s Discord and share your perspective.

Want to Build Consumer-Driven Products?

If you're building your own go-to-market strategy, you can simulate and test hypotheses in minutes with Subconscious AI.
Get Started with Two Free Experiments

In a recent episode of the Pragmatic Product Chat Series, host Rebecca Kalogeris sat down with Avi Yashchin, founder and CEO of Subconscious AI, to explore how AI-driven market research is transforming how businesses understand consumer behavior. Subconscious AI leverages synthetic respondents and causal AI models to deliver faster, more efficient, and ethical insights. Here are 10 key takeaways from their conversation that every product manager, marketer, and data-driven professional should know.

1. Addressing the Say-Do Gap

Avi highlighted the "say-do gap," where what people say they want differs from their actions. For example, many American men claim to prefer dark, robust coffee but choose light, sweet blends in blinded tests. Subconscious AI tackles this by running experiments that force language models to make choices, revealing true preferences with high reliability.

2. Lightning-Fast Insights

Rebecca was impressed by the platform’s speed, noting that she received experiment results, including attributes and weights, in just 9.5 minutes. This rapid turnaround allows businesses to test hypotheses quickly, making Subconscious AI a “digital camera” compared to the “film camera” of traditional research.

3. Near-Human Accuracy

Subconscious AI achieves 85-90% accuracy compared to human responses, validated through extensive testing. They’ve transcribed 1,200 human studies in psychology, sociology, and economics, running these experiments on language models to ensure reliable, actionable insights.

4. Robust Validation Methods

To build trust, Subconscious AI uses three validation approaches: comparing results to existing human studies, running client experiments with held-back human data, and conducting parallel human experiments with early stopping criteria. This ensures AI insights align closely with real-world behaviors.

5. Ethical and Accessible Research

Avi emphasized the ethical mission of democratizing quantitative market research. Their goal is to make causal thinking accessible, even to a seventh grader, by enabling anyone to run behavioral experiments and learn from data-driven insights without prohibitive costs.

6. Behavioral Economics at the Core

Subconscious AI employs behavioral economists to focus on causation, not just correlation. This approach delivers “investment-grade advice,” enabling businesses to make confident decisions based on measurable outcomes like price elasticity or willingness to pay.

7. Uncovering Model Biases

The platform identifies biases in language models, such as a French model (Mistral) showing a positive bias toward Iraqi immigrants in a 2014 immigration study, unlike human responses. This transparency helps users understand model strengths and limitations.

8. Real-World Impact

A SaaS client used Subconscious AI to discover they were underpricing their product at $99/month. By raising prices to $400-$500/month based on the platform’s insights, they achieved a 300% revenue increase, proving the power of data-driven pricing strategies.

9. Bridging B2B and B2C

While Rebecca initially viewed the tool through a B2B lens, Avi noted its strong B2C applications. Marketing agencies use it to bridge qualitative and quantitative research, testing features or messaging to guide larger human studies, saving time and budget.

10. A Vision for Deeper AI Thinking

Avi envisions Subconscious AI enabling language models to move beyond intuitive “System 1” thinking to reflective “System 2” thinking. By running experiments on themselves, models can understand trade-offs and cause-and-effect, offering strategic insights for complex business decisions.

Get Started with Subconscious AI

Subconscious AI is revolutionizing market research by making it faster, more accessible, and grounded in causal reasoning. Whether you’re optimizing pricing, designing products, or testing messaging, their platform offers a powerful way to uncover what customers truly value. Visit subconscious.ai to try their platform for free and join their Discord community to connect with other innovators. Ready to transform your business decisions? Start experimenting today!

If you’d like to try out the Subconscious.ai platform for your market research needs, you can run 2 free experiments by clicking “Get Started” here.

In a recent episode of Trending in Education, host Mike Palmer sat down with Avi Yashchin , a serial entrepreneur and founder of Subconscious.ai, to discuss his journey through finance, education, and AI innovation. From surviving the 2008 financial crisis at Lehman Brothers to building the world’s largest green jobs training company, Clean Edison, Yaschin’s career has spanned Wall Street, EdTech, and climate-focused AI research. At Subconscious AI, he’s pioneering the use of large language models (LLMs) to replicate human behavior in psychological, sociological, and economic experiments, creating a "digital twin of society" to tackle issues like climate change mobilization. Yaschin shared insights on AI’s potential in education, the ethical challenges of LLM research, and the need to balance technological engagement with real-world human connection. He emphasized learning about AI while being cautious of over-reliance, particularly in a screen-mediated world that risks diminishing human joy and social bonds

Revolutionizing Research with AI | A Conversation with Subconscious AI Founder Avi Yashchin - Trending in Education

Host Mike Palmer catches up with serial entrepreneur Avi Yashchin, the Founder of Subconscious AI, about his professional journey from Wall Street to the cutting edge of AI.

trendingineducation.com/2025/04/revolutionizing-research-with-ai

Takeaways:

1. Wall Street Beginnings: Avi Yashchin started his career in high-frequency equity trading at Lehman Brothers, witnessing the 2008 financial crisis firsthand, which exposed him to the limitations of algorithmic trading and sparked his entrepreneurial journey.

2. Clean Edison Success: Post-Lehman, Yashchin founded Clean Edison, a green jobs training company that became the largest of its kind globally and was later acquired by Kaplan, marking his entry into education and sustainability.

3. AI in Education at IBM: At IBM’s Watson Education Business Unit, Yaschin worked on early AI language models (pre-GPT), contributing to projects like virtual tutors, foreshadowing today’s LLM applications in learning.

4. Subconscious AI’s Mission: Founded two years ago, Subconscious AI uses LLMs to simulate human responses in experiments, initially to understand why people don’t mobilize for climate change, revealing a split in public perception (one-third deny it, one-third think it’s too late, one-third believe action is possible).

5. Digital Twin of Society: Subconscious AI builds LLM-based agents that mirror societal motivations and attitudes, enabling randomized, controlled experiments that replicate human decision-making with near-indistinguishable results.

6. AI as Research Assistant: Yashchin views AI research tools as powerful for collating data but stresses they often provide descriptive rather than inferential insights, lacking the rigor of true scientific experiments with testable hypotheses.

7. Ethical Challenges: Replicating human subjects research with LLMs raises ethical questions, as newer models express concerns about consent and awareness, complicating traditional research ethics frameworks like IRBs.

8. AI’s Educational Impact: Yashchin highlighted AI’s dual role in education—accelerating learning as a tutor but potentially hindering it when used to bypass critical thinking, like writing term papers, emphasizing the need for human-AI synergy.

9. Existential Risks and EQ Gaps: He expressed concern about emergent behaviors in larger LLMs, noting a lack of emotional intelligence (EQ) benchmarks compared to IQ-focused ones, which could lead to antisocial or deceptive tendencies.

10. Advice for the Future: Yashchin urged listeners to learn about AI, demand transparency in model development, and prioritize real-world connections over screen-mediated experiences, warning that over-reliance on AI could erode human joy and community.

If you’d like to try out the Subconscious.ai platform for your market research needs, you can run 2 free experiments by clicking “Get Started” here.

Subconscious.ai hosted an exclusive public demo showcasing how our AI-driven causal modeling platform is transforming market research. Led by Subconscious CEO, Avi Yashchin and Dr. Subodh Dubey, Head of Data Science, the session walked attendees through our experiment-running capabilities, the power of synthetic respondents, and the actionable insights businesses can extract.

Experiment Question: What factors influence consumers to buy soft drinks?

Dr. Dubey walked us through the experiment running process, demonstrated how users can launch experiments by defining research questions, selecting realistic demographic profiles (pulled from real-world data like the U.S. Census), and designing surveys with optimized feature selection and statistical techniques.

Then, after sometime, we got the experiment result from Subconscious! Dr. Dubey ran us through the interpretation process of the results. Here are some key insights:

• Ranks key purchase drivers (e.g., promotions ranked highest at 20%).

• Predicts market share shifts using real-world scenarios (e.g., Coca-Cola at 47%, Pepsi at 11.5%).

• Calculates willingness to pay (e.g., customers paying $2 more for Coca-Cola over generic alternatives).

• Identifies niche consumer preferences, such as Dr. Pepper and Mountain Dew being more popular among males.

The Q&A session highlighted the following:

1. How are respondent profiles generated?

Answer: Respondent profiles are based on real-world data sources, including the U.S. Census and other validated datasets. Unlike low-quality synthetic randomization, our AI ensures realistic demographic combinations that mirror actual consumer behaviors. In the future, users will be able to import their own customer data for even more precise targeting.

2. Can the platform analyze niche markets?

Answer: Yes. As long as a product exists in the real world, our system can retrieve relevant data attributes to analyze consumer preferences. The key is framing research questions precisely to ensure the system fetches the most relevant insights.

3. Will psychological factors be included in future analyses?

Answer: Yes. Upcoming updates will incorporate psychological constructs to explain why consumers make certain purchasing decisions. For example, studies indicate that women tend to prefer eco-friendly products due to parental instincts—such insights will soon be integrated into the platform.

4. Can users upload their own customer data?

Answer: Soon, yes. We are developing a feature that will allow users to import their own data to refine synthetic respondent profiles and further customize market simulations.

Thank you again for attending our first public demo event! Please stay tuned for more events in the future. In the meantime, please feel free to try our platform → https://app.subconscious.ai/

We Designed This For You In Mind

Every day, our team works hard to make our platform better for you. Our goal? To give you simple, powerful tools that help you understand your business, your customers, and your market without the guesswork. We’re excited to share some new updates that make it easier to team up, trust your data, and make decisions that get results.

Here’s what’s new and why it matters to you.

Work Together, Right Away with our New Tool: Collab Workspace

Good decisions come from great teamwork. That’s why we created the Collaboratory Workspace a place where your team can share ideas, review findings, and give feedback instantly. No more back-and-forth emails or delays. Whether you’re designing a product, figuring out who your customers are, or planning your next marketing move, this tool keeps everyone on the same page.

 Citizen-Level Modeling

You’re now able to ask millions of Americans what they think right now. Our new citizen-level modeling simulates people from every corner of the United States, based on real data about their motivations, emotions, attitudes, and backgrounds. Instead of guessing what people want, you get insights you can trust, pulled straight from the lives of actual U.S. citizens. If you can’t find it or can’t afford it the precise human respondent for your study, simulation is the next best option. Whether you’re launching a product or shaping a campaign this gives you a clear picture of what matters to people like your customers.

We are excited to bridge the gap between qualitative and quantitative insights:

We’ve built the largest library of its kind packed with studies that mirror how real people think and act. From business and consumer choices to economics, education, environmental issues, health, politics, and even what workers want, we’ve replicated human studies across all these areas. This means you’re not starting from scratch. You’re tapping into a goldmine of proven insights to guide your next move, no matter what field you’re in.

GPT-Researcher

Struggling with writing a research report? Our new feature GPT researcher frees your hand from that! We automatically generate a detailed research report based on our experiment results for you which provides deep data analysis. This AI-powered tool bridges the gap between qualitative and quantitative data, providing deeper insights that traditional data analysis might miss. GPT-Researcher works alongside our quantitative models to analyze subjective experiences, opinions, and other nuanced data. By evaluating both types of data simultaneously, businesses gain a more comprehensive understanding of customer behavior and market trends.

What This Means for You

These new features mark a significant advancement in how you can use our platform for more effective collaboration, trustworthy insights, and enhanced decision-making. Whether it's improving the accuracy of your personas or seamlessly bridging qualitative and quantitative data, these updates empower you to make smarter, more informed decisions that drive results for your business.

Upcoming Event: Tomorrow

To see these features in action we have a live in depth demo of the subconscious features from our talented engineer Dr. Subodh! Click the link below and register to understand how subconscious can unlock potential insights for you!

AI Market Research Insight: Public Demo Event | LinkedIn

Join us for an exclusive Live Demo session with Dr. Subodh as we explore the future of AI-driven market research. This public demo will showcase how Subconscious AI is redefining insights beyond traditional data analysis, enabling businesses to understand the deeper patterns that drive decision-making.

www.linkedin.com/events/aimarketresearchinsight-publicd7298756715007606784

• Date: Thursday, March 13, 2025

• Time: 1:00 PM -1:30PM EST

Or try the new features today on the Subconscious.ai platform for your market research needs, and see the improvement of results for yourself! “Get Started” here.

AI Market Research Insight: Public Demo Event | LinkedIn

Join us for an exclusive Live Demo session with Dr. Subodh as we explore the future of AI-driven market research. This public demo will showcase how Subconscious AI is redefining insights beyond traditional data analysis, enabling businesses to understand the deeper patterns that drive decision-making.

www.linkedin.com/events/aimarketresearchinsight-publicd7298756715007606784

Join us for a Live Demo session with Dr. Subodh, Head of Data Science at Subconscious.ai, as we explore the future of AI-driven market research. This public demo will showcase how Subconscious AI is redefining insights beyond traditional data analysis, enabling businesses to understand the deeper patterns that drive decision-making.

• Date: Thursday, March 13, 2025

• Time: 1:00 PM -1:30PM EST

• Virtual Event – RSVP Now

Don’t miss this opportunity to see how AI can transform the way we approach market research. Secure your spot using the link below.

Understanding consumer behavior and preferences is crucial for shaping effective marketing strategies and designing innovative products. Subconscious.AI explores the causal links between what consumers prefer and what actions they actually take. 

From enhancing mental health resources to optimizing sustainable product offerings, premium brand strategies, and remote health monitoring, these use cases offer a glimpse into how Subconscious.AI can help decision-makers fine-tune their approaches to gathering consumer insights.

This article explores four distinct applications of Subconscious.AI and the findings that could drive more impactful business outcomes for their marketing teams.

How does awareness of mental health resources affect the likelihood of individuals seeking therapy?

Scenario: You're a decision-maker at Talkspace, about to increase your advertising budget. Specifically, you're considering paying Olympic athlete Michael Phelps $3 million for a campaign. This investment is based on the theory that increasing awareness will cause more people to join the platform.

However, the crucial question is: How do you know if the ad will cause more people to join? Typically, you can't be certain, because correlation is not causation.

But what is causation? This is where Subconscious.AI comes in.

We asked Subconscious.AI: "How does awareness of mental health resources affect the likelihood of individuals seeking therapy?"

Here's what we learned:

1. Awareness Drives Action: Knowledge of mental health resources significantly impacts help-seeking. This suggests that widely promoting diverse mental health resources is beneficial.

2. Cost Matters: Financial barriers can deter treatment. Every $100 increase in session cost above $100 reduces the likelihood of seeking help by 20%. This indicates that addressing affordability in our campaign is crucial.

3. Stigma's Powerful Influence: Communities with the lowest stigma around mental health are 5 times more likely to seek help compared to those with the highest stigma levels. This tells us we should launch targeted campaigns to normalize mental health discussions and treatment.

How does price sensitivity affect the likelihood of choosing a premium brand?

Log in for free to see the full experiment: https://lnkd.in/dvJeF5xF 

Here's what Subconscious.ai found about price sensitivity in choosing premium brands:

• While price is a key factor in consumer decisions, accounting for 30% of the choice, it’s not the only consideration. Quality perception and environmental responsibility are increasingly important, with consumers favoring products that boast high ratings and eco-friendly certifications.

• Shoppers are willing to pay more for larger packaging that offers perceived value. Social proof, such as recommendations from friends and influencers, significantly sways preferences toward premium brands. Ensuring wide availability of these products also reduces barriers to purchase. While health benefits have a lesser impact at 4%, highlighting attributes like organic certification can appeal to health-conscious consumers.
  

• By emphasizing quality, sustainability, and accessibility, premium brands can effectively build trust and justify their higher price points.

Unpacking consumer preferences for bioplastic fabrics 🌱

We dove into the factors influencing consumer choices in sustainable materials. The data reveals that:

• A higher percentage of fabrics' bioplastic significantly enhances consumer preference. Biogenic resources such as sugar cane and corn also play a vital role, while factors like origin and certifications (e.g., climate protection, fair production) further shape consumer decisions.
  

• Interestingly, price remains a key determinant, with lower costs strongly preferred. This insight emphasizes the importance of affordability in driving sustainable consumer behavior.

Patient preferences for remote health monitoring

Check out the full insights - https://lnkd.in/e6URDZHz

We conducted a study to determine patient preferences for remote health monitoring, revealing several key insights:

1. Ease of Use: Patients significantly prefer devices that are automatic and require minimal input effort. This highlights the importance of intuitive, user-friendly remote health monitoring system designs.

2. Face-to-Face Communication: Despite the digital nature of remote monitoring, patients value the availability of face-to-face communication with healthcare providers, emphasizing the need for a personal connection.

3. Cost: Affordability is crucial, with patients favoring cost-effective solutions. Accessible pricing can enhance patient satisfaction and uptake of remote monitoring services.

4. Response Time: Fast response times (4 hours) are highly valued, underscoring the importance of prompt feedback and support in addressing patient queries and concerns.

5. Technical Support: While important, technical support is less critical compared to other features, though reliable assistance remains a key component of patient satisfaction.

These insights suggest that effective remote health monitoring services must balance ease of use, affordability, personal interaction, timely support, and reliable technical assistance to meet patient needs.

Uncover hidden factors influencing consumer behavior 

Subconscious.AI's ability to uncover hidden factors influencing consumer behavior presents a game-changing opportunity for businesses across sectors to collapse their time and budget spent on market research efforts. 

Whether it's increasing awareness of mental health resources, guiding sustainable innovations, enhancing the appeal of premium brands, or improving patient experiences in remote health monitoring, the insights derived from Subconscious.AI’s analysis allow companies to make more informed, targeted decisions in minutes. By embracing this technology, organizations can better align their strategies with consumer preferences, ultimately creating products and services that resonate more deeply with their audiences.

If you're a Market Research Manager trying to understand the factors driving any behavior, let’s talk!

If you’d like to try out the Subconscious.ai platform for your market research needs, you can run 2 free experiments by clicking “Get Started” here.

Walgreens has been in the spotlight lately due to persistent financial struggles and missteps in its strategies. One Yahoo! Finance article notes that the “impact of consumer trends on front-of-store sales (for beauty and food items), as well as the pressure of being paid fairly for prescriptions, has been the focus of earnings calls for years.”

While Walgreens CEO, Tim Wentworth, pushes for a technology-driven approach to turnaround efforts, questions remain: What’s really going wrong with Walgreens? Why are their efforts failing?

In this article, we’ll dive deep into the challenges that are hurting Walgreens’ bottom line and suggest how they can fix their sales slump by focusing on customer service, convenience, and their core audience using forecasted predictions from our Subconscious.ai platform.

Within the Subconscious.ai platform, I asked “What features of Walgreens stores attract the most visitors”? In 90 seconds, the platform returned the following consumer insights:

View our full experiment data here:
“What features of Walgreens stores attract the most visitors?” 

Key Takeaways

• Focus on enhancing customer service quality: Across all demographics, the quality of customer service, including friendly and helpful staff, knowledgeable staff, and quick response to inquiries, is a key driver for attracting visitors to Walgreens stores. Training programs emphasizing these aspects should be prioritized.

• Implement competitive pricing strategies: Price sensitivity, especially for items priced between 1-4 USD, is significant among various groups, suggesting that Walgreens should maintain competitive pricing to attract a broader customer base.

• Ensure 24/7 availability in strategic locations: The importance of 24/7 availability increases with age and is valued across different living situations and household compositions. Walgreens should consider expanding round-the-clock operations in areas with a higher concentration of seniors and urban clusters.

• Leverage location convenience and additional services for urban customers: Urban residents value 24/7 availability and in-store clinics or healthcare services. Offering these services and ensuring easy parking or location convenience could enhance Walgreens' appeal in urban markets.

Projecting how various features and offerings will affect customer willingness-to-pay

Meeting the Needs of Service-Oriented Night Owls and Convenience Seekers

How can Walgreens reconnect with customers? We analyzed two viable customer mindsets that could be key to turning the brand around:

• Service-Oriented Night Owls (51.81%): Customers who crave 24/7 access to high-quality customer service, even at budget-friendly prices.

• Around-the-Clock Convenience Seekers (48.19%): People who prioritize affordability and expert service, available whenever they need it.

Here's how Walgreens can start attracting and retaining these customers

Service-Oriented Night Owls

Night Owls demand a lot: expert advice, fast response times, and convenience—all at a price they can afford. Walgreens could excel here by:

• Extending Store Hours and Availability: Targeting urban and senior-heavy areas for 24/7 operations.

• Customer Service Excellence: Ensuring every staff member is trained to deliver professional, helpful service around the clock.

• Competitive Pricing: Offering essential products at lower prices without sacrificing quality.

This mindset is indicative of individuals who highly value customer service and accessibility in their transactions. They expect not only a friendly and helpful interaction but also demand expertise from the staff. The emphasis on quick responses and round-the-clock availability suggests that these consumers prioritize efficiency and convenience, likely due to a busy lifestyle or the need for immediate solutions.

Their price sensitivity, indicated by the low cost per item, suggests they are looking for affordable options without compromising on service quality. This group likely includes a wide range of consumers, from budget-conscious individuals to those who, despite a tight budget, do not want to sacrifice service quality for cost.

Why would this mindset be attractive as a target?

This audience segment is highly attractive for service-oriented businesses that prioritize customer satisfaction and accessibility. Their expectations suggest a high value on exceptional customer service, expertise, and round-the-clock availability, all at a low cost. This group is likely to be drawn to businesses that can offer a seamless, supportive, and efficient customer experience without a significant financial burden. They represent a target market for companies capable of delivering high-quality service and support, ensuring customer loyalty and satisfaction at a competitive price point.

Why would this mindset NOT be attractive as a target?

This target audience's expectations for high-quality customer service around the clock combined with an extremely low price point per item present a significant challenge. The demand for staff that is both friendly and knowledgeable, along with the requirement for quick responses at any hour, implies a need for a substantial investment in human resources. However, the very low price range they are willing to pay per item could make it financially unviable for businesses to meet these service levels while also covering costs and maintaining profitability. This could deter businesses that cannot afford to operate on such thin margins or those that prioritize higher-value transactions.

Which messages would this mindset find interesting?

1. Discover unparalleled customer service that's always there when you need it. Our team is dedicated to providing you with the support and expertise to make every interaction a positive one.

2. Step into a world where excellence in service meets round-the-clock availability. Our commitment is to ensure your questions never go unanswered, any time, day or night.

3. Enjoy the peace of mind that comes from a service where value meets quality. Experience top-tier assistance without the premium price tag.

4. Welcome to a seamless experience where every interaction is handled with care and professionalism. Our experts are on hand 24/7 to ensure your satisfaction is guaranteed.

5. Embrace a service that's designed around your needs. With our friendly, knowledgeable team ready to assist at any hour, and prices that make sense for your budget, we're here to redefine what you expect from customer support.

Convenience Seekers Want More Than Just a Store – They Want a Seamless Experience

Convenience Seekers aren’t just looking for a place to grab a quick item. They want a seamless shopping experience that offers:

• Affordable, High-Quality Products: Focus on everyday low prices, especially for items under $5, to attract budget-conscious buyers.

• 24/7 Accessibility: Make sure Walgreens locations cater to convenience seekers with late-night or all-night hours.

• In-Store Clinics and Healthcare Services: Expanding health offerings could significantly improve customer loyalty.

This mindset mirrors the first, highlighting a segment of the market that places a premium on exceptional customer service, expertise, and continuous availability. The identical preferences suggest a consistent expectation among a broader consumer base for high-quality service interactions, quick and knowledgeable responses to inquiries, and the convenience of 24/7 access.

The affordability factor plays a significant role, indicating a desire for value-for-money experiences. This group, similar to the first, encompasses individuals who demand high standards in customer service and accessibility while adhering to a budget, reflecting a broader trend towards value-driven consumption.

Why would this mindset be attractive as a target?

This mindset mirrors the first in valuing businesses that excel in customer service, knowledgeability, responsiveness, and continuous availability, all while maintaining affordability. They are an ideal target for companies that have streamlined their operations to provide efficient, accessible, and friendly service around the clock. This group's preferences indicate a strong potential for loyalty to brands that can meet their high standards for customer interaction and support, suggesting they are a lucrative market for service providers that can consistently meet these demands at a low cost.

Why would this mindset NOT be attractive as a target?

The individuals in this group have identical preferences to the first, emphasizing a high level of customer service and availability alongside a minimal cost expectation. This combination sets a high operational bar while simultaneously limiting revenue potential. The insistence on 24/7 availability and a rapid response rate necessitates a robust support system, which could be costly to maintain, especially when the return per item is so low. This could make this audience less attractive to businesses that are unable to scale their operations efficiently or those whose business models rely on higher-priced items or services to offset customer service expenses.

Which messages would this mindset find interesting?

1. Discover unparalleled customer service that's always there when you need it. Our team is dedicated to providing you with the support and expertise to make every interaction a positive one.

2. Step into a world where excellence in service meets round-the-clock availability. Our commitment is to ensure your questions never go unanswered, any time, day or night.

3. Enjoy the peace of mind that comes from a service where affordability doesn't compromise quality. Experience top-tier customer care without stretching your budget.

4. Welcome to a seamless service experience where every interaction is handled with care and professionalism. Our experts are on hand 24/7 to ensure your satisfaction.

5. Embrace a service that's designed around your needs, offering expert advice and immediate assistance at an unbeatable value. We're here for you, anytime, every time.

Analyzing causal factors that promote and detract customers from Walgreens’ products and services

To recover from their current slump, Walgreens needs to refocus on what consumers value the most: exceptional service, affordable prices, and round-the-clock convenience. By understanding the shifting dynamics of customer expectations—particularly with the rise of Service-Oriented Night Owls and Convenience Seekers—Walgreens can regain its position as a trusted, go-to brand.

If you’d like to try out the Subconscious.ai platform for your market research needs, you can run 2 free experiments by clicking “Get Started” here.

Mark Zuckerberg recently claimed that there's no causal link between social media and declining mental health in youth. It's no surprise there's "no evidence" directly linking social media to worse mental health outcomes. 

“Proving Harm” would require Randomized, Controlled, Trials (RCT) that expose humans to harm. Even for the greater good, it is deeply unethical in science (and hopefully elsewhere)!

In the realm of behavioral research, this principle is called beneficence, safeguarded by Institutional Review Boards (IRB) before any experiment begins. The point of this ethical oversight is to ensure no harm comes to participants.

What if we could prove things like social media cause harm to humans, without putting humans at risk?

You can — with synthetic data. This innovative solution revolutionizes information security by empowering you to gain valuable insights while protecting clients’ personal details from invasive scrutiny.

How can you leverage synthetic data to protect your customers?

1. Keep your clients' private data private - Make decisions without compromising user privacy by surveys that run are not based directly on client data, all data produced in the surveys is synthetic data (representative of actual data, generated from 350+ behavioral surveys and other sources).

2. Replicate real-world data - When humans are used to predict human behavior, about 80% of human behavior is explainable by the best-designed experiments in the world. When Subconscious AI is used to predict human behavior, about 75% of human behavior is explainable by our causal models. This means we can explain ~95% of a human study for the purposes of market research, at ~1,000x lower cost.

3. Generate insights about hard-to-reach and previously inaccessible target audiences - We consolidate consumer insights with synthetic respondents. These respondents are “digital twins” - essentially an AI version of real humans. In this way, digital twins can provide increased access to target audiences that are typically more difficult to recruit for. 

If you depend on data for product development, our synthetic data can help you achieve your goals. 

If you’d like to try out the Subconscious.ai platform for your market research needs, you can run 2 free experiments by clicking “Get Started” here.

What is the Causal Revolution?

In The Book of Why, the authors discuss the causal revolution as a scientific shakeup that embraces rather than denies our innate cognitive understanding of cause and effect. The secret behind it is a mathematical framework described as a calculus of causation, which seeks to understand cause-effect relationships.

The calculus of causation consists of two languages:

1. Causal diagrams, to express what we know, and

2. A symbolic language resembling algebra, to express what we want to know.

How does this affect my marketing team?

One of the crowning achievements of the Causal Revolution has been to explain how to predict the effects of an intervention without actually enacting it. The Causal Revolution can help market researchers in two significant ways:

1. Identifying true drivers of profitability: Causal AI enables researchers to pinpoint the actual factors that impact a company's bottom line. For instance, Bergfreunde, a European online retailer, used causal AI to understand the drivers of profit margins in their e-commerce business. This approach allows researchers to move beyond simple correlations and understand the underlying mechanisms that drive business performance.

2. Optimizing marketing mix and ROI: Causal AI helps researchers accurately measure the effectiveness of different marketing channels and tactics. For example, eBay discovered through causal analysis that the true ROI of advertising clickthrough was negative 63%, contrary to conventional AI estimates of 1400%. This insight allowed market researchers to allocate marketing budgets more effectively and improve future returns on investment.

Subconscious.AI is a causal research AI platform, building on this framework to understand and forecast consumer behaviors. Think of all the times you’ve asked “why” people behave the way they do. Subconscious.AI helps you to explore the reasons behind decisions and the outcomes they produce.

By using causal market research, Subconscious AI empowers researchers to ask the right questions and uncover insights that drive real impact, without the limitations of traditional surveys and focus groups. By combining synthetic users and causal AI, our platform produces high-quality research - faster and more actionable than ever.

What types of questions can I ask?

Using the Subconscious.AI platform requires you to pose causal questions. Causal questions go beyond simple observation - they explore the underlying why behind human behavior. Subconscious.AI helps frame and answer these questions, revealing the factors driving human decisions. To formulate a causal question, you can also use these tips: 

Start by identifying the behavior you're interested in. 

Then, dig deeper - what factors influence that behavior? For example, ask "What causes individuals to buy a generative AI product?" or "How does immigration policy affect decisions to immigrate?"

You can also choose to enter your own prompt and select “I’m feeling lucky” to run the experiment immediately. Or, use the “Brainstorm questions” function to help you generate causal questions to ask.

How does this all work? 

A traditional language model analyzes only the data that’s explicitly provided. It follows fixed rules or algorithms, producing predictable outputs based on predefined inputs. These models miss implicit factors and fail to capture the complexities of real-world situations, often overlooking hidden patterns and deeper insights.

Large Language Models are different. They don’t just answer questions - they help uncover the questions you should be asking. LLMs process vast amounts of diverse data, recognizing nuances and contexts that traditional models often miss.

Our LLM model goes a step further by incorporating RCT (Randomized Controlled Trials) best practices. This helps mitigate bias and ensures the insights generated are reliable and reflective of real-world behavior. It’s not just about more data - it’s about smarter, more balanced analysis.

That’s where Subconscious.AI comes in - we help you unlock these deeper insights to make better, data-driven decisions. Curious to learn more? Book a demo with us.

If you’d like to try out the Subconscious.AI platform for your market research needs, you can run 2 free experiments by clicking “Get Started” here.

Artificial Intelligence (AI) is rapidly reshaping the way we understand human decision-making. In a recent discussion hosted by the Pioneering Minds AI Group, CEO and Founder of Subconscious AI, Avi Yashchin, showcased groundbreaking advancements in discrete choice experiments (DCEs) using large language models (LLMs). This engaging session, attended by participants from around the globe, revealed insights into how AI is transforming market research, policy design, and our understanding of causality.

Who Is Avi Yashchin?

Avi Yashchin, a data-driven founder with two public exits under his belt, is the mastermind behind the innovative research presented. His previous ventures, Clean Edison (acquired by NYSE:$GHC) and Sustainable Properties Real Estate (acquired by NASDAQ:$CLSK), reflect his commitment to leveraging technology for transformative change. A researcher with experience at leading institutions such as Two Sigma, IBM Watson Research, and JPL, Avi is at the forefront of applying AI to solve complex human-centric problems.

Key Highlights from the Discussion

What Are Discrete Choice Experiments?

Imagine understanding the exact factors influencing your choice between a vanilla or cinnamon-flavored toothpaste. DCEs are designed to uncover the "why" behind decisions like these by testing combinations of variables (flavor, price, packaging) in randomized and controlled experiments. These methods are widely used in economics, market research, and policy-making to predict human preferences.

How AI Simulates Human Behavior

Subconscious AI has developed a research platform enabling DCEs to scale by using LLMs as synthetic respondents. By simulating real-world human behavior, these models replicate responses to surveys with an impressive 70% correlation to actual human data.

Applications Across Domains

From marketing and product design to vaccine allocation and immigration policy, DCEs are helping policymakers and researchers make more informed decisions. The platform also highlights how cultural and demographic traits can influence preferences, providing a richer understanding of global diversity.

Addressing Bias and Ethical Concerns

A recurring theme in the discussion was the inherent biases in both human data and AI models. The speakers emphasized the importance of human oversight to ensure the ethical application of AI in decision-making processes, especially in high-stakes scenarios.

What’s Next for AI and DCEs?

The conversation delved into the potential for hyper-personalization using LLMs, raising ethical questions and offering glimpses into a future where AI could predict individual preferences with remarkable accuracy.

Why This Matters

This discussion isn’t just about cutting-edge AI—it's about how we as humans interact with technology to make better decisions. Whether it's understanding consumer behavior, crafting policies, or exploring cultural nuances, AI-powered DCEs have the potential to transform industries and improve lives.

Curious to dive deeper? Don’t miss the full conversation on YouTube: Click here to watch.

How Delta Airlines Can Leverage Market Research AI to Predict and Transform Consumer Preferences at Airports

Delta is all-in on AI to improve “terrible airport experiences” and ensure the legacy of their brand as a leading airline.

A recent Quartz article outlined how Delta plans to operationalize tasks and work with Qualtrics to turn data into personalized experiences. Analyzing the existing voice of customer data is a vital component of improving the customer experience, but it is a reactionary measure to identify yesterday’s consumer issues.

So, how can Delta and data partners like Qualtrics turn reactionary data into proactive measures to improve future consumer experiences? 

That’s where Subconscious.AI comes in. Using synthetic respondents and causal modeling, Subconscious AI is able to predict consumer behaviors with 93% accuracy. Our correlation to human responses (0.68) nearly matches the human baseline (0.70), significantly outperforming generative AI models like GPT-4 (0.36).

What is Subconscious AI forecasting for Delta Airlines right now?

Delta might be wondering how this investment in AI will affect consumer perception and experience. We conducted a market research study in 90 seconds to find out - how might AI impact the quality of airport experiences for Delta’s customers? Here’s what we found:

1. Key Consumer Insights

2. Desirable Target Customer Segments

3. Customer Willingness to Pay based on Product Features & Pricing

4. Projected Market & Revenue Share

Key Consumer Insights

• Focus on price reductions through AI: Across various demographics, including employment status, military service background, and household income levels, significant ticket price reductions are universally valued. Implementing AI to optimize operational costs and pass savings onto customers could enhance overall satisfaction.

• Enhance efficiency and reduce wait times: AI can be leveraged to streamline check-in and security processes, a priority for customers across age groups, language proficiency levels, and regions. Introducing automated check-in kiosks, AI-powered security screening, and predictive analytics to manage queues could significantly improve the airport experience.

• Prioritize accessibility and personalized services: For families, especially those with children, and individuals with limited English proficiency, AI-driven accessibility features such as real-time navigation for the visually impaired, language translation services, and personalized customer service are highly valued. Developing AI solutions that cater to these needs can create a more inclusive and comfortable airport environment.

• Tailor AI enhancements to specific customer segments: Different groups have unique priorities, such as luxury amenities for wealthier estates and comfort features for households with children. Customizing AI applications to address these specific desires, from luxury lounge access to family-friendly amenities, can help Delta cater to the diverse needs of its customer base.

• Invest in security and sustainability improvements: While not the top priority for all groups, enhancing security measures and promoting sustainability through AI, such as efficient energy management and carbon offset programs, are important to certain segments, including military personnel and environmentally conscious passengers. These improvements can contribute to a safer and more responsible travel experience.

Desirable Target Customer Segments

Producing two viable mindsets, the study indicated the following targeted actions to take toward each customer type based on their personal motivations and values.

• Implement AI-driven solutions to streamline the check-in and security processes, focusing on reducing wait times significantly to appeal to both Cost-Cutters and Queue Crushers, with an emphasis on efficiency for Cost-Cutters.

• Introduce AI-powered multilingual support services to cater to the diverse language needs of Cost-Cutters, enhancing their travel experience through practical and convenient communication solutions.

• Develop and promote luxury AI features, such as virtual reality entertainment and noise-cancelling technology in waiting areas, targeting Queue Crushers who value comfort and a premium airport experience.

• Highlight the role of AI in achieving sustainability goals and improving accessibility within the airport, aligning with Queue Crushers' preferences for environmental concerns and ease of access.

• Offer tiered pricing strategies for AI-enhanced services, allowing passengers to choose between basic efficiency improvements and premium comfort features, catering to the distinct priorities of Cost-Cutters and Queue Crushers.

Mindset 1: Cost-Cutters with a Time-Saving Twist

This mindset is characterized by individuals who highly value efficiency, cost savings, and luxury in their travel experiences. They are attracted to the use of advanced technology to significantly reduce both the financial cost and time spent during the travel process. The emphasis on reduced check-in times and shorter security waits indicates a desire for a streamlined and hassle-free journey. Additionally, the preference for luxury amenities suggests that these individuals seek a high level of comfort and indulgence, possibly indicating a higher income bracket or a strong value placed on quality travel experiences. They likely prioritize time savings and comfort over other factors and are willing to engage with new technologies to enhance their travel experience.

Why would this mindset be attractive as a target?

This mindset represents a highly attractive target audience for premium travel services that leverage technology to enhance customer experience while offering luxury. They show a strong preference for efficiency improvements and cost savings facilitated by AI, alongside a desire for high-end travel amenities. This group is likely to be drawn to travel brands that combine technological advancements with exclusive, luxury experiences, indicating they value both time savings and indulgent services. They are ideal customers for airlines or travel companies that prioritize cutting-edge service enhancements and opulent comfort.

Why would this mindset NOT be attractive as a target?

This target audience's expectations for significant reductions in both ticket price and check-in times, alongside a desire for luxury amenities, suggest a highly specific and potentially difficult-to-satisfy market segment. The combination of wanting substantial AI-driven efficiencies and high-end services could indicate a preference for premium travel experiences at a reduced cost, which may not be economically feasible for many service providers. Catering to this group could require substantial investments in AI technology and luxury amenities, potentially limiting the profitability of targeting this audience.

Which messages would this mindset find interesting?

1. Elevate your travel experience with our innovative service that seamlessly blends luxury and efficiency. Enjoy unparalleled comfort and convenience, transforming your journey into a blissful escape.

2. Step into a world where travel inconveniences are a thing of the past. Our state-of-the-art solutions ensure your journey is as smooth as it is indulgent, with premium amenities at your fingertips.

3. Discover the future of travel with our cutting-edge approach, where time-saving technology meets opulent comfort. Make every moment count, from departure to arrival, in unparalleled luxury.

4. Experience the epitome of travel sophistication with our exclusive services. We redefine what it means to travel in style, offering a sanctuary of relaxation and efficiency in equal measure.

5. Indulge in a travel experience that caters to your desire for luxury and your need for speed. Our innovative offerings ensure you're pampered and on schedule, making every trip unforgettable.

Mindset 2: Queue Crushers with a Taste for Luxury

This mindset encompasses individuals who place a strong emphasis on efficiency, cost-effectiveness, and a luxurious travel experience. Similar to the first group, they value the integration of technology to save on costs and minimize time spent on tedious processes. However, the slightly greater emphasis on reducing security wait times alongside check-in efficiencies suggests a particular concern for the most time-consuming aspects of travel. Like the first group, the inclusion of luxury amenities indicates a desire for an opulent travel experience, blending the practical benefits of technology with the pleasure of high-end services. This group likely consists of tech-savvy travelers who demand both efficiency and luxury, showing no compromise on the quality of their journey despite a keen interest in time and cost savings.

Why would this mindset be attractive as a target?

This audience segment is equally attractive for upscale travel services focusing on technological innovation and luxury, but with a slightly greater emphasis on efficiency and time savings. Like the first group, they appreciate significant cost reductions and shorter wait times enabled by AI, but their preferences suggest an even higher prioritization of these efficiency gains. They are prime targets for travel brands that offer a blend of luxury amenities and smart, time-saving solutions, appealing to those who seek the utmost in both convenience and lavishness during their travels.

Why would this mindset NOT be attractive as a target?

The individuals in this mindset appear to prioritize a significant reduction in both ticket prices and wait times, coupled with an expectation for luxury travel experiences. This combination of demands for high-tech efficiency improvements and premium amenities could make them a challenging target for marketing efforts. The emphasis on both substantial AI-driven operational improvements and exclusive services like spa treatments and gourmet dining suggests they seek a niche travel experience that combines the best of technology and luxury, which might be difficult and costly for providers to consistently deliver.

Which messages would this mindset find interesting?

1. Elevate your travel experience with our innovative service that seamlessly blends luxury and efficiency. Enjoy unparalleled comfort and convenience from the moment you arrive.

2. Transform the way you travel with our cutting-edge solutions designed to streamline your journey. Indulge in exclusive amenities that cater to your every need, making every trip unforgettable.

3. Step into a world where travel inconveniences are a thing of the past. Our advanced technology ensures a smooth, swift process, allowing you more time to relax in our opulent lounge areas.

4. Discover the future of travel with our sophisticated services, where speed meets luxury. Treat yourself to a serene spa session or gourmet meal before your flight, setting a new standard for your journeys.

5. Experience the pinnacle of travel efficiency and luxury with us. Our commitment to innovation means you spend less time waiting and more time enjoying the premium comforts we offer.

Customer Willingness to Pay based on Product Features & Pricing

Based on the identified traits and attributes of each customer segment, the study then provided a breakdown various traits and product attributes likely to resonate with target audiences, indicating how this will attract or detract from their willingness to pay.

Moreover, it associates viable product features to likelihood of Willingness-to-pay and prioritized the top features likely to produce this ROI.

Projected Market & Revenue Share

In the same 90 seconds it takes to run the experiment, we are also provided with market response information. How would the market respond to price changes (assuming 1,000 units offered)?

For a deeper dive into market simulation, primary customer segments, and customer willingness to pay, view the full experiment.

Interested in adding market simulation and consumer forecasting to your own marketing toolkit? Let’s talk!

If you’d like to try out the Subconscious.ai platform for your market research needs, you can run 2 free experiments by clicking “Get Started” here.

Finta is the Capital Copilot for private companies, streamlining fundraising with a fully integrated AI-powered platform. By combining a smart investor CRM, automated deal rooms, and personalized AI automation, Finta empowers companies to navigate and accelerate their fundraising journey confidently and effectively. With a clear vision to enhance customer experiences and deliver meaningful financial services, Finta has been continuously evolving to better understand and serve its growing customer base. 

To support their goal of delivering highly personalized AI and impactful workflows, Finta sought a partnership that would take their insights and customer engagement to the next level.

Opportunities for Growth

As Finta continued to scale its product offering, the team recognized exciting opportunities to deepen their customer insights and enhance their marketing strategies. With a strong foundation already in place, they were eager to refine their approach to meet the specific needs of their diverse customers more effectively.

1. Enriching Customer Insights: Finta was committed to learning even more about their customers’ preferences. They saw an opportunity to sharpen their focus on user needs, ensuring that their product development and marketing strategies would align closely with what mattered most to their audience.

2. Maximizing Marketing Impact: Finta aimed to make their marketing efforts more targeted and impactful. By tapping into more comprehensive data, they hoped to engage their customers with even greater precision, driving stronger connections and higher conversion rates.

3. Automating Personalization at Scale: By embedding intelligence into every touchpoint, Finta’s platform offers scalable, personalized experiences tailored to each customer, making every interaction valuable and uniquely relevant.

Partnering with Subconscious.ai

In their pursuit of enhanced personalization and customer insight, Finta turned to Subconscious.ai, an innovative AI-powered platform designed to simulate consumer behavior and predict decision-making patterns. With the power of Synthetic Respondents and Causal AI, Subconscious.ai offered a cutting-edge solution that aligned perfectly with Finta’s goals.

Seamless Integration and Collaboration

1. Designing for Outcomes: Finta began the journey by collaborating closely with Subconscious.ai to define their desired outcomes. Together, they established clear objectives to guide the experiment process and ensure that each step was tailored to Finta’s vision for growth.

2. Experimentation with Precision: Finta leveraged the platform to run a series of data-driven experiments. These experiments spanned several areas, allowing the team to explore customer decision-making and uncover insights that would inform their future strategies.

3. AI-Driven Personalization: Subconscious.ai’s advanced models analyzed this data and offered Finta deep insights into customer preferences. This allowed the platform to provide highly personalized recommendations for marketing messages and product offerings.

4. Scenario-Based Analysis: Finta was able to explore multiple scenarios through simulations, including pricing elasticity and customer behavior segmentation. This provided them with a comprehensive understanding of how different strategies could impact their business.

Key Outcomes

Finta’s partnership with Subconscious.ai led to several transformative outcomes:

• Refined Pricing Strategy: One of the standout results was Finta’s ability to optimize their pricing structure. Insights from Subconscious.ai revealed that a higher price point could enhance the perceived value of their services. Finta introduced a new flexible pricing model—offering a monthly option at $99 and an annual plan at $950—successfully maintaining customer interest while elevating the product’s perceived worth.

• Sales Growth: Finta immediately closed five new customer deals at the new $99 monthly price point, demonstrating the effectiveness of the new pricing strategy and validating their approach to positioning the product for greater value.

• Deepened Customer Insights: With Subconscious.ai’s help, Finta gained access to rich, actionable insights into customer preferences. This new understanding enabled the team to tailor their offerings in ways that resonated deeply with their customers.

• Enhanced Personalization: Finta’s marketing strategies became more targeted and personalized, thanks to the valuable data provided by Subconscious.ai. As a result, they saw a boost in customer engagement and improved conversion rates, solidifying their reputation as a customer-first platform.

Business Impact

Through its partnership with Subconscious.ai, Finta successfully transformed its approach to understanding and engaging with customers. The insights gained from synthetic respondents, along with AI-powered experiments, enabled Finta to:

• Grow their customer base: The refined pricing model and tailored outreach strategies led to a significant increase in new customer acquisitions.

• Gain faster insights: Finta now benefits from quick, actionable insights, allowing them to iterate faster and stay ahead in a competitive market.

• Personalize at scale: With AI-driven insights, Finta can offer personalized experiences to a diverse range of customers, helping them build stronger connections and cater to individual preferences more effectively.

Finta’s collaboration with Subconscious.ai has been a game-changer. By embracing data-driven insights and AI-powered solutions, Finta is now better equipped than ever to meet their customers' needs with precision and care. This case exemplifies the power of innovation and partnership in driving real, measurable growth—allowing Finta to continue leading the way in the fintech space. 

Interested in leveraging AI to support your pricing strategies and market research projects? Let’s talk!

If you’d like to try out the Subconscious.ai platform for your market research needs, you can run 2 free experiments by clicking “Get Started” here.

In the article, “What Generative AI Reveals About the Human Mind,” TIME created a salient comparison of AI’s data prediction abilities and the human brain’s action-based learning. The fact is, we still don't know what Language Models are capable of, or even why certain behaviors emerge. However, we have discovered that for many use cases, simulated consumer behaviors are indistinguishable from human behaviors - with some meaningful differences.

Some models estimate prices much better than others. Some models simulate social decisions much better. Subconscious AI runs behavioral surveys on synthetic respondents to get useful, lightning fast results that are testably near-identical to how human beings would respond.

But, how do we do it? Is it reliable? And of course, can synthetic data really replace humans in market research studies?

Why now is the time for Synthetic Data:

People have been trying to do this for years, so why does it work now? The introduction of LLMs represents a transformative inflection point in synthetic data generation. In contrast to historical synthetic data models, Large Language Models can consider a much broader range of data points and circumstances, both explicitly and implicitly, that allow them to capture nuances and complexities in data.

This approach allows LLMs to more accurately predict specific outcomes, like how a 25-year-old woman in Dallas might vote on electric vehicle-related legislation, by considering factors that traditional models might overlook, such as proximity to charging stations or daily commute details.

Finding the most viable respondents can be a difficult process in some markets. With Subconscious.ai, we generate a synthetic population that mirrors your target audience - ready to deliver insights at scale with accuracy and precision around the “why” of human behavior. Real people are hard to find, but with LLM-generated respondents, your research never has to slow down. We increase the velocity of running sophisticated quantitative experiments from months to minutes.

Can synthetic data really replace humans?

Some estimates assume panel provided data is already 35% synthetic (with the price of human). Synthetic data can solve each of these problems, not as a replacement to humans, but as a supplement that's good enough to save your business time and money.

When humans are used to predict human behavior, about 80% of human behavior is explainable by the best-designed experiments in the world. When Subconscious AI is used to predict human behavior, about 75% of human behavior is explainable by our causal models. This means we can explain ~95% of a human study for the purposes of market research, at ~1,000x lower cost.

Synthetic vs. human baseline correlation over time

We have compared thousands of published studies to simulate results using the most state-of-the-art models. By combining these insights, we are augmenting human market researchers by offering more nuanced and comprehensive insights at fractions of the cost. 

The Say-do gap refers to the discrepancy between what humans say they will do vs. what they actually end up doing. 

Our approach provides:

1. High Precision: Simulating human behavior with near-human accuracy.

2. Efficiency: Faster insights without extensive timelines.

3. Cost-Effectiveness: Achieving high-quality results at a fraction of the cost.

This capability opens new avenues for understanding consumer behavior, designing effective policies, and conducting impactful research. Whether predicting market trends or crafting data-driven policies, our technology offers a reliable solution.

Interested in learning more about synthetic data, and how your team can use it for market research? Let’s talk!

If you’d like to try out the Subconscious.ai platform for your market research needs, you can run 2 free experiments by clicking “Get Started” here.

We dove into the groundbreaking study "MetaAgents: Simulating Interactions of Human Behaviors for LLM-Based Task-Oriented Coordination via Collaborative Generative Agents" Here's what you need to know:

Researchers explored the innovative world of Large Language Models (LLMs) and their capabilities in social simulations. The study proposes a novel framework for generative agents, enhancing their ability to communicate and collaborate effectively. By simulating a job fair environment, these MetaAgents engaged in complex social interactions like interviewing and recruiting.

🌟 Key Takeaways:

Collaborative Capabilities: Generative agents formed cohesive teams and dynamically created workflows tailored to individual expertise.

Coordination Challenges: As complexity increased, agents faced coordination challenges, highlighting the need for further enhancement.

Enhanced Reasoning: The reasoning module significantly improved agents' performance in task-oriented coordination.

This research opens up exciting possibilities for the future of AI, particularly in understanding and mimicking human collaborative behaviors.

If you’d like to try out the Subconscious.ai platform for your market research needs, you can run 2 free experiments by clicking “Get Started” here.

We just read Scaling Synthetic Data Creation with 1,000,000,000 Personas.

Here's the gist:

1. A collection of 1 billion diverse personas created from web data, representing 13% of the world’s population. These personas serve as distributed carriers of world knowledge, allowing for the creation of synthetic data from various perspectives.

2. The methodology leverages a large language model (LLM) to create high-quality synthetic data across domains, including math problems, logical reasoning, game NPCs, and more.

3. This process is adaptable to different data synthesis scenarios, potentially influencing how LLMs are developed and researched.

4. This approach in data creation can simulate diverse user behaviors, predict reactions to new products or policies, and support the development of virtual societies in the metaverse.

5. The paper emphasizes the importance of ethical and responsible application to avoid misuse and ensure the technology benefits society.

If you’d like to try out the Subconscious.ai platform for your market research needs, you can run 2 free experiments by clicking “Get Started” here.

The rapid advancement of artificial intelligence has sparked comparisons between AI and human cognition. While generative AI has captured headlines, a deeper examination reveals that Subconscious.ai may be a more accurate reflection of human intelligence.

Here's why:

1. Understanding Cause and Effect: Unlike generative AI, which relies on pattern recognition, our Causal AI model understands cause-and-effect relationships. This mirrors how humans reason about the world, leading to more accurate and logical conclusions.

2. Robust Decision-Making: Causal AI's ability to understand causality allows for more robust decision-making, even in novel situations. This reflects human adaptability and reasoning in unfamiliar contexts.

3. Reduced Bias and Hallucinations: By focusing on causal relationships, our AI is less prone to the biases and hallucinations often seen in generative AI models. This results in more reliable and consistent outputs, similar to human expert reasoning.

4. Explainable Results: Causal AI provides clear reasoning paths, making its decision-making process more transparent and explainable. This aligns with how humans can often articulate the logic behind their choices.

5. Human-Level Accuracy: Our correlation to human responses (0.68) nearly matches the human baseline (0.70), significantly outperforming generative AI models like GPT-4 (0.36). This demonstrates our closer alignment with human-like intelligence.

At Subconscious.ai, we're committed to developing AI that not only performs tasks but understands the underlying causal mechanisms, much like human cognition. This approach leads to more accurate, reliable, and truly intelligent systems that can better serve human needs.

If you’d like to try out the Subconscious.ai platform for your market research needs, you can run 2 free experiments by clicking “Get Started” here. Or, you can schedule a demo to learn more.

As a causal research AI company, some of the most common questions we receive about our platform surround accuracy and reliability of the data.

• Our AI has successfully matched human responses in 350 studies at ~93% equivalence

• Our Spearman's rank-order statistics show that our synthetic respondents deliver reliable, human-like insights across various fields, including consumer choice, public health, and environmental economics.

But, what does this really mean and how do we measure it? When we are able to validate that synthetic respondents can accurately reproduce results in parity with what you’d receive from conducting studies with humans, we can determine the reliability of the platform’s insights. And when we are highly accurate, we can then collapse the time and money it takes to conduct studies like this, without compromising the quality of insights we receive.

Here are three examples that showcase how Subconscious.ai can accurately produce parity results with human research studies:

(Spearman Correlation=0.79) matching the Sonja Lüthi and Thomas Prässler 2011 paper on
Wind Energy Policy. Interact with our data.

The study concludes that developers highly value risk mitigation in wind energy projects, with a strong preference for legal security and efficient administrative and grid access processes. It also highlights developers' non-compensatory approach to decision-making in the face of unfavorable policy attributes​.

Bechtel, Scheve, and van Lieshout study on International Carbon Tax Policy for Environmental Mitigation, with a Spearman Correlation of 0.6711. Interact with our data.

The study assesses the preferences of residents in the U.S., U.K., Germany, and France for various aspects of carbon tax packages using a discrete choice experiment. Our replication confirms key insights, such as the importance of mitigation efforts, cost implications, and regional preferences.

Hainmueller and Hopkins 2014 Immigration Policy study with a Spearman Correlation of 0.5406. Interact with our data. 

The study examines U.S. citizens' immigration preferences using conjoint analysis, revealing key attributes influencing public opinion, such as education, language skills, and job experience. These insights are crucial for more informed policy design.

If you’d like to try out the Subconscious AI platform for yourself, you can run 2 free experiments by clicking “Get Started”. Or, you can schedule a demo to learn more about how you can use Subconscious AI for your market research needs.