The Next Evolution is Here: ChatGPT and AI in Market Research
Published:
01 Jul 2024
By Julie Rose
As someone who has spent over three decades in the market research industry, I've seen firsthand how technology reshapes our professional lives. The advent of online surveys, the rise of internet scraping and text analytics, opportunities coming from big data mining, and the now the integration of Artificial Intelligence (AI) all represent significant milestones in the Digital Age intersecting with the Market Research Industry.
AI isn't just a new tool; it's a game-changer. It's capable of automating repetitive tasks, processing and analyzing vast amounts of data, at speeds previously unimaginable. It is an exciting time to once again, adopt new ways of working that will advance our mission to understand people and deliver insights that drive business growth.
New Heights in Market Research Analysis
In today's fast-paced world, the volume of data generated daily is staggering. AI excels at sifting through this data, identifying patterns, and providing preliminary insights. This capability is invaluable in market research analytics, where the first step is often labor intensive to comb through a variety of data sources to identify patterns, anomalies, outliers, consistencies and inconsistencies.
Here are a few examples of where AI analyses can advance market research:
Survey Analysis: AI can process and analyze survey data quickly, identifying key insights and trends. Automated tools can generate reports and visualizations to present findings effectively.
Visual Content Analysis: AI can analyze images and videos to extract relevant information about consumer preferences and trends. This is useful for understanding visual content's impact on consumer behavior.
Customer Segmentation: AI can analyze consumer data to create detailed segments and personas, creating the opportunity for unprecedented personalization on a mass scale and ensuring that marketing efforts are precisely targeted.
Sentiment Analysis: AI-powered sentiment analysis tools can scan social media, reviews, and forums to gauge public opinion about a brand or product and decipher consumers’ values based on the information.
Competitive Analysis: You can use AI to monitor competitors’ activities, including pricing, marketing strategies, and product launches. This can provide valuable insights into market positioning and strategy.
Predictive Analytics: Machine learning models can predict future trends based on historical data, helping businesses make informed decisions about future business endeavors.
Practical Considerations
AI takes data processing and analysis to new levels, providing speed and pattern recognition that was unheard of even a few years ago. That said, the storytelling aspect of market research - translating data into a clear and inspiring story with actionable insights that will unlock new growth opportunities - is where human expertise shines.
Creative Analysis: AI tools can quickly and easily identify themes and patterns in qualitative transcripts and quantitative data sets. It provides a great first pass, however, interpreting these findings and crafting a compelling narrative requires human intervention, to ensure creativity and business relevance in the final deliverables.
Ethical Considerations: As we integrate AI into our workflows, maintaining ethical standards in data collection and analysis is crucial. Human oversight ensures that AI applications adhere to ethical guidelines and respect consumer privacy.
Bias and Synthetic Data: AI models can sometimes perpetuate existing biases present in the training data, leading to skewed results and insights. Additionally, the use of synthetic data to train AI models can introduce its own set of challenges, as it may not fully capture the complexities and nuances of real-world data. Human oversight is essential to identify, mitigate, and correct these biases, ensuring the analyses remain fair, accurate, and representative of the target population.
Embracing the Future of AI in Market Research
As AI technology continues to evolve, so will SIVO’s approaches and techniques. We view AI as a powerful augmentation to our workflows and capabilities and will continue to experiment and adopt new ways of working that drive our effectiveness and efficiency. At the same time, we believe that it is the combination of the AI tools and experienced, empathetic market researchers that skillfully identify the nuances of consumers perceptions and behaviors that leads to actionable, strategic insights. We will continue to invest in both resources – artificial intelligence and human intelligence.
Join us on this exciting journey
At SIVO, we are committed to blending the best of human expertise and AI innovation to deliver insights that drive your business forward. Contact us at Contact@SIVOInsights.com or visit SIVOInsights.com to schedule a discovery call and explore how we can help you take your market research to new heights!
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Qualitative Exploration
Why is Consumer Insight Important? Where to Get Consumer Insights
Across industries, brands attempt to access and leverage data to unlock stronger sales and business growth. Your team can bring a wealth of experience and expertise to initiatives, but getting feedback from the people who engage with the product produces better outcomes. Below, we’ll answer the questions: what are consumer insights?Why are consumer insights important? And What is the best way to get consumer insights for my business?
What Are Consumer Insights?
First thing’s first, what are consumer insights? Consumer insights are the underlying motivations or needs that make a consumer behave a certain way. Insights professionals work to understand consumer attitudes, requirements, desires and behaviors to uncover insights that can then guide brand building, portfolio and marketing communications efforts. Many organizations gather data from their consumers, but the real depth of insight comes in asking the right questions and getting the full picture from consumers. Insights gleaned from studying and connecting with your consumers can inform nearly every aspect of your business’ path to growth.
How to Get Consumer Insights
So, how do you get consumer insights? Businesses can get consumer insights in several ways. The correct method for your team depends largely the business question, as well as the industry and market you serve. For example, organizations may capture qualitative data via focus groups, in-depth interviews, and user immersions to identify the nuances in consumer values and opinions.
Meanwhile, quantitative data like path-to-purchase, product testing, and volumetric forecasting can help teams validate consumer interest and behaviors and build confidence in decision-making and actions. Consumer insights experts can gather this information in a number of ways. See some of the most effective consumer insight solutions and techniques below:
Qualitative Consumer Insights
Ethnographies In-Depth Interviews Focus Groups Shopalongs Shopper Intercepts Mobile Missions Online Bulletin Boards Fishbowls Agile Sprints Rapid Refinement Communication Checks User Immersions In-Home Usage Interactive User Experience Jobs to Be Done
Now that we know what they are, why are consumer insights important? Essentially, consumer insights remove some of the speculation from your business decisions and actions. It provides actionable answers to what consumers think about your brand, your category, and your products or services. Once you receive those insights, you can take it and run. It’s the fuel that ignites new product or service innovation and optimization, brand experiences and communications. At a higher level, it gives your business access to an entirely new perspective within your consumer market. Consumer insights give you a more holistic understanding of the consumer target audience you want to connect with, allowing you to gain a competitive edge within your industry.
Why Business Should Get Consumer Insights
So, why is consumer insight important? There are several reasons growing brands invest in these solutions to drive growth and gain a competitive edge. See why more and more businesses focus on obtaining consumer insights for their strategies below:
Business and Brand Strategy
Enhance Portfolio
Build Loyalty
Optimize Campaigns
Improve Engagements
Business and Brand Strategy
The best business strategies have data-backed insights behind them. Consumer insights allow you to identify a “why” to inform and support your business initiatives. The same goes for your brand.
Understanding what people truly believe about your brand can transform marketing strategies. Today, it is important to know who your customers are, what they do, what they value, and why it matters. The best way to answer those questions is to identify your consumers and start a dialogue to better understand them. This dialogue and the insights that come from it allows your business to bring more value to the people you serve. It all leads to better customer experiences and a stronger return on investment.
Enhance Portfolio
Every product or service has areas for improvement. Who are the best people to provide that feedback? The individuals who purchase and use them. Getting honest opinions on your current portfolio helps you identify the best places for optimization. You can spot holes in the market and create solutions that fill consumers' unmet needs. Some of the best product ideas and business innovation can come straight from your customers.
Build Loyalty
It all starts with empathy. Providing enhanced, consumer-focused products and services can only benefit brand loyalty. Brands need to continuously check in with their customers to ensure they have positive brand experiences and identify new ways to delight them. As mentioned above, your products/services can consistently improve to meet the needs of your customer base. Ultimately, this all works toward a stronger relationship with your audience to gain ongoing loyalty. That goes a long way when they are choosing between brands.
Optimize Campaigns
How can consumer insights fuel your marketing campaign? Speaking directly to your target audience members creates more nuance and specificity in your consumer-first marketing campaigns. Every engagement in your advertising and beyond should prioritize your consumer. Understanding their values and preferences deeply allows you to speak to them more directly and effectively. If you’re on the journey of building your brand or audience-based marketing (AMB) strategy, these insights provide a path toward successful campaigns that move the needle and influence consumer behavior.
Improve Engagements
What is your customer’s experience with your brand? Are there features that they like or dislike? Sometimes small things go unseen by marketers, but small details can leave a lasting impression on consumers. Whether it’s digital user journeys, messaging, or customer service conversations, it’s invaluable to hear, understand and react to what people think when they engage with your brand, products, and representatives.
How to Get Consumer Insights
If your organization is wondering how to get consumer insights, the best path is through a specialized consumer insights company. SIVO is a global insights and strategy firm specializing in understanding people and their needs and beliefs that drive behavior. We partner with brands to answer key questions that guide strategies and fuel growth. First, we schedule a discovery meeting, where we ask your stakeholders and subject matter experts key questions about your business and needs. Then, we design a custom research approach that aligns with those requirements. From the data gathered, we identify key insights that inform your decisions and drive business growth. Our experts act as your ongoing partner, helping you access your consumers and interpret the research every step of the way.
Let SIVO Transform Your Strategy with Valuable Consumer Insights
Ready to get meaningful consumer insights to unlock your next business and brand strategy? SIVO provides full-service custom consumer research and experiences for business across industries. Whether you need consumer insights, organizational intelligence, market and competitive intelligence, or on-demand talent, we empower organizations to get the most of their business, marketing, and brand building efforts to better achieve their goals. Contact SIVO today to get started.
Beyond Traditional Segmentation: Using Demand Spaces To Find Growth Opportunities
As customer needs evolve and competition intensifies, traditional segmentation frameworks often fall short. Many segmentation models are based on demographics and psychographics, and often define customers based on traits such as their age, gender, attitudes and values. They tell you who your consumer is – but not why they make the choices they do.
To fuel meaningful, strategic growth, businesses need more than demographic snapshots. They need contextual insight. This is where frameworks like Demand Space thinking comes in.
What Is Demand Space Thinking?
Demand Space frameworks shift the focus from static consumer traits to the moments that drive decisions. Instead of defining your audience only by traits such as age, gender, or income, this approach considers:
When the decision happens
Where the consumer is
Who they’re with
What they’re trying to achieve
How they feel in that moment
It’s not about who your consumer is on paper – it’s about what’s happening around them, and inside them, when they make choices.
Why It Matters
Consumers don’t always behave the same way, even when they share similar traits on paper. A single person has different needs and behaviors throughout the day, week, or year, and traditional segmentation often misses these moments that drive real-world decisions. Demand Spaces, on the other hand, are based on the moments where context, emotion, and need converge.
The Power of Demand Spaces for Growth
When implemented thoughtfully, Demand Spaces help businesses:
1. Reveal Unmet Needs
Demand Spaces help businesses find the moments when consumers are underserved by existing options. These blind spots often become the clearest opportunities for growth. By identifying emotional or contextual gaps in the consumer experience, teams can design solutions that respond to real pain points and not using assumptions.
2. Unlock Innovation Whitespace
They also help businesses go beyond what consumers say they want and uncover what they actually need in specific situations. This helps teams design offerings that better reflect real-world behaviors. It’s a way to spark smarter ideas, grounded in daily routines, shifting priorities, and overlooked occasions that traditional research often misses.
3. Strengthen Brand Positioning
Demand Space tools help position brands based on context and need, not just category. This reduces overlap and creates clearer brand roles. That means brands can carve out distinct emotional territory, ensuring each one plays a defined role in the consumer’s life, not just on a shelf.
4. Clarify Audience Priorities
By focusing efforts on the most critical consumer moments – when the stakes, emotions, or needs are highest – teams can prioritize smarter. It enables brands to align resources with the occasions that drive the most value, loyalty, or conversion – improving both focus and ROI.
5. Reduce Internal Cannibalization
They also help in assigning each brand, product, or service distinct moments. This ensures they serve different needs or occasions rather than competing for the same ones. By separating who serves what – and when – demand spaces bring clarity to brand architecture and reduce inefficiencies across portfolios.
Demand Spaces help businesses unlock growth by bringing clarity to what consumers need, when they need it, and why. Instead of chasing broad segments or spreading resources thin, brands can focus on the moments that truly drive behavior – revealing new opportunities, reducing internal friction, and building solutions that resonate in the real world.
Real-World Example: Same Consumer, Different Moments
Let’s say your target is a 35-year-old parent who regularly shops for snacks. Depending on the situation, they might want:
A quiet, solo snack to recharge after work (need example = calm, emotional reset)
A fun, shareable treat for a family movie night (need example = togetherness)
A convenient, energizing bite during school drop-off chaos (need example = speed, functionality)
Each moment carries different emotional and functional needs – and may lead them to choose entirely different brands or products. This is the nuance Demand Spaces capture.
How to Map Demand Spaces
In a challenging market, brands can’t afford to rely on guesswork. Demand Spaces provide both smarter lenses for targeting and innovation, a more human understanding of consumer behavior, and a faster path to discovering what will actually drive choice – and growth.
To identify and activate demand spaces, brands need to move beyond static surveys. Instead, they should use context-rich research tools like:
Mobile ethnography and video diaries
In-the-moment interviews and shop-alongs
Qualitative deep dives to understand emotional context
Behavioral observation and journey mapping
These are some of the methods that help businesses capture real consumer behavior, in real environments. At SIVO, we combine deep qualitative expertise with flexible research models to help you map the demand spaces that matter most to your business. Whether you're reassessing brand positioning, exploring whitespace for innovation, or trying to understand behavior shifts in today’s market – we help you with the right tools and insights for your business.
Want to talk about how Demand Space research can unlock strategic clarity for your team? We’d love to help!
It is an enlightening and humbling experience to really get to know who they are, what they think, how they experience your product or service, and what they need from that experience. It can be very beneficial to be face to face, having conversations with consumers to build your intuition and empathy. However, often it is more valuable to leave the interviewing to expert moderators, allowing you to focus on the answers, rather than how to pose the questions.
Why Use Experts Qualitative Research Moderators
Expert qualitative research Moderators are skilled at conducting qualitative research to uncover the “why” behind the “what” of consumer behavior and preferences. Experienced Moderators apply a range of specific research techniques, with nuance and finesse, to get beyond consumers’ top-of-mind thoughts. This allows them to identify the underlying needs and motivations that drive behaviors and choices.
Specifically, Moderators can help teams across four key learning dimensions:
Discover Feelings & Emotions: Delving deeply into consumer thoughts, feelings, and emotions, going far beyond surface level observations.
Understand Motivations: Uncovering the underlying motivations, desires, and needs that drive consumer behavior.
Explore Perceptions: Understanding how consumers perceive brands, products, or services to shape marketing strategies and improve brand positioning.
Gain Context: Gaining conceptual understanding of consumer behavior through exploration of the social, cultural, and environmental factors that influence consumer decision-making.
Moderation Techniques Enable Insights to Surface
With certifications from organizations such as, RIVA, QRCA, and the Insights Association, great Moderators have a broad toolkit, employing specific qualitative research techniques to achieve their research objectives. These research techniques include:
Open-Ended Questions: Starting with open-ended questions that encourage participants to provide detailed responses. These questions typically begin with phrases like “Can you describe…” or “Tell me about…”
Comparative Questions: Asking participants to compare or contrast different aspects of their experiences or opinions. For example, “How does this compare to your previous experience in a similar situation?”
Timeline and Sequencing: Exploring the chronological aspects of experiences by asking participants to recount events in a specific order. This can help create a detailed narrative.
Sensory Exploration: Encouraging participants to describe sensory aspects of their experiences, such as what they saw, heard, felt, or smelled during a particular event.
Metaphorical or Analogical Questions: Asking participants to describe their experiences using metaphors or analogies. This can help participants express complex concepts more vividly. For example, “If this brand was a shoe, what kind of shoe would it be and why?”
Projective Techniques: Using projective techniques like storytelling, drawings, or role-playing to access participants’ subconscious thoughts and feelings.
Whether it is through in-depth interviews, in-context missions, ethnographic research or through online community bulletin boards, great Moderators will employ these techniques to discover underlying insights about the consumer that they could not otherwise articulate through simple conversations.
Trust SIVO with your Qualitative Research
Contact SIVO, Inc. at Contact@SIVOInsights.com to discuss how SIVO can provide you with the insights you need, via our team of expert Moderators to lead your qualitative research projects. Also, check out SIVO’s On Demand Talent Profiles to learn more about how a fractional Qualitative Research Strategist/Expert Moderator can be an asset to you and your team.
AI for Innovation: Applications Implications for Market Research
Artificial Intelligence (AI) is revolutionizing industries, and marketing research is no exception. In the field of innovation, AI isn’t just a tool—it’s a transformative force. As market researchers strive to speed up timelines, generate breakthrough insights, and stay ahead of consumer trends, AI offers new opportunities. At SIVO, we believe in exploring AI’s strategic potential, balancing excitement with careful consideration of its limitations and practical applications.
AI’s Advantages in the Innovation Process: Speed, Cost, and Quality
AI offers unparalleled efficiency across all phases of innovation. For example, traditional brainstorming sessions might yield a few dozen ideas over several hours, but AI-driven generation tools can produce hundreds of concepts in minutes. Models like ChatGPT can produce ideas 200 times faster than humans, feeding researchers more possibilities and compressing the innovation cycle, enabling faster decision-making.
AI also delivers significant cost savings. Research shows that organizations using AI for innovation can reduce costs by as much as 85% through the automation of “front-end” work streams such as data analysis, ideation, and concept validation. By minimizing the manual labor required, AI allows companies to reallocate resources toward high-value strategic efforts without sacrificing quality.
And it’s not just about speed and cost - AI excels in generating high-quality ideas. Studies suggest that AI-powered ideation rivals, and sometimes surpasses, human creativity. AI isn’t just capable of producing novel ideas but is also highly effective in generating nuanced originality. Furthermore, the emerging field of synthetic testing allows AI to simulate human consumer sentiment, attitudes, and behaviors, enabling iterative, real-time refinement during the ideation phase.
Key Applications for Innovation Insights Work Streams
AI offers powerful tools for businesses throughout the innovation funnel, from discovery to launch. At SIVO, we’re particularly intrigued by AI’s role in the “front end” of innovation and the growing potential of synthetic validation. Key areas include:
Trend-Watching and Market Analysis: AI tools can scan vast datasets to detect emerging trends, helping businesses capitalize on opportunities early. This capacity allows AI to uncover patterns and insights that humans might miss, all at unprecedented speeds. With AI, businesses can shift from limited market understanding to robust assessments in a matter of hours, rather than weeks.
Idea Generation: AI pushes the boundaries of human creativity, generating diverse, contextually conscious ideas based on vast amounts of structured and unstructured data. Its objective nature helps overcome creative blocks and organizational inertia, allowing for breakthrough concepts that transcend traditional human limitations.
Simulated Consumer Testing: AI’s ability to simulate consumer responses via synthetic personas is transforming how researchers test products and services. Synthetic testing models mimic real-world consumer feedback at scale, significantly reducing the reliance on traditional, resource-intensive field testing. It’s important to recognize that synthetic data isn’t “fake”—it’s a machine-assisted way to process existing public and proprietary data to quickly generate valuable insights.
AI is reshaping innovation research. Thoughtful adoption of these tools is essential for businesses that want to remain competitive in today’s rapidly evolving marketplace.
Challenges and Watchouts: The Importance of Oversight in AI-Supported Innovation
While AI offers immense potential, it also presents important challenges:
Bias in AI Models: AI tools are only as good as the data they’re trained on. If the data contains biases or is incomplete, the resulting insights can be skewed. Ethical considerations and human oversight are essential to ensure that AI-generated insights are accurate, reliable, and free from bias.
AI Hallucinations: Sometimes, AI can produce ideas that seem plausible but lack real-world applicability. These “hallucinations” can mislead the conclusions if not properly filtered. Human intervention is key to distinguishing between useful creativity and impractical output.
Synthetic Data Limitations: AI-generated synthetic data may not always capture the complexity of human behavior. It can replicate biases from original datasets and miss outlier insights, leading to incomplete conclusions. Blending synthetic data with traditional qualitative and quantitative research methods provides more reliable results.
In a field where accuracy and context are critical, these limitations must be accounted for. AI should not replace human creativity and research expertise but should instead serve as a collaborative partner that enhances researchers’ ability to innovate more efficiently and comprehensively.
Strategic Integration of AI for Innovation: A Balanced Approach
To successfully integrate AI into your innovation process, it’s important to narrow your focus. Identify the areas where AI can deliver the most value—whether in trend analysis, ideation, or simulated consumer testing. From there, begin experimenting with AI in those areas to build trust and familiarity.
For those hesitant to fully embrace AI, running parallel testing alongside human-led research can be a great starting point. This approach allows teams to compare AI-generated insights with traditional methods, building confidence in AI’s capabilities while reducing risk. Alternatively, AI can be applied to lower-profile projects first, allowing teams to rehearse its application and refine their approach as they gain experience.
The key is to strike a balance—lean into focused, mindful use of AI to reap its benefits and stay competitive without feeling the need to chase every new use case. AI should be applied where it truly adds value and enhances the innovation process.
SIVO: Your Partner in AI-Enhanced Innovation
At SIVO, we’re actively experimenting with AI tools and exploring AI’s potential to transform how market research supports your new product innovation needs. We see AI as a powerful tool to accelerate processes and enhance creativity, and advocate for a stepwise, cautious approach. We’re eager to guide clients through proof-of-concept tests, blending AI’s scientific power with the art of human-driven insight application, which remains at the core of our work.
If you’re ready to experiment with AI and enhance your innovation process, contact us at Contact@SIVOInsights.com or visit SIVOInsights.com today to schedule a discovery call.
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