The landscape of market research is undergoing a significant transformation, driven by the rapid advancements in artificial intelligence. With the emergence of AI tools, researchers are now able to streamline the entire process—from crafting survey questions to data analysis—resulting in faster and more cost-effective insights for businesses. This evolution is exemplified by companies like Cashew Research, which is at the forefront of this change.
A New Era for Market Research
Addy Graves, a seasoned market researcher with over a decade of experience, witnessed the launch of ChatGPT in 2022 and immediately began to consider its potential applications in her field. Traditionally, market research studies were time-intensive, often spanning a minimum of two months, involving extensive planning, survey development, data collection, and reporting. Graves notes, “It wasn’t until AI that we were able to automate those workflows.” In 2023, she co-founded Cashew Research, a company designed to utilise AI throughout the market research process.
Cashew’s innovative approach allows researchers to generate online survey questions, gather responses from actual participants, analyse the data, and produce reports in record time. “We’re cutting down the time frame by at least five to six weeks,” Graves explains. “We can turn a study around in a couple of days to a week.” This acceleration not only benefits researchers but also significantly enhances the client experience.
Cost Efficiency and Accessibility
The integration of AI in market research has led to a dramatic reduction in the resources required to conduct studies. Instead of relying on large teams, a single researcher at Cashew can handle up to 20 clients simultaneously. This efficiency translates into lower costs for clients, with services priced 60 to 80 per cent less than traditional market research firms. “Something that was super sophisticated and super expensive is now opened up to mid-market brands with smaller budgets,” Graves asserts. “It allows these brands to grow faster.”
One notable client, Joni, a plant-based period care company located in Victoria, sought Cashew’s services as a more affordable alternative. The insights provided by Cashew prompted Joni to launch a new product line of period underwear, a shift that was previously unconsidered. Co-founder and CEO Linda Biggs remarked, “It shifted our product development approach to what the consumer felt they needed,” emphasising the reliability of the data derived from genuine human responses.
The Rise of Synthetic Data
While companies like Cashew prioritise human responses, larger market research firms such as Leger Marketing are exploring the potential of synthetic data. This method involves querying AI-generated personas that can convincingly mimic human responses. Sarah Mottet, Leger’s vice-president of transformation and AI, states, “We evaluated that the quality of the answers is between 85 and 90 per cent, which is very high and much more than enough to make a marketing or business decision.”
Despite the advantages of speed and cost, Mottet cautions that synthetic data should not be relied upon for significant, high-stakes decisions. However, it can be beneficial for minor choices, such as testing social media content or assessing new advertising strategies. For instance, a snack company could utilise synthetic data to narrow down 30 flavour concepts to the top five before proceeding to human taste testing.
AI-Moderated Interviews and Future Trends
Leger also employs an AI-driven platform known as AIMI, which facilitates real-time interviews conducted by AI moderators. These AI systems present questions to respondents and can dynamically adjust based on the answers provided, ensuring thorough responses. Mottet describes this as a step towards enhancing the efficiency of qualitative research.
However, concerns surrounding synthetic data remain. Guneet Nagpal, an assistant professor at Western University’s Ivey Business School, expresses reservations about the reliance on historical data, stating, “The response that we get [from AI] is based on what has been fed into it in the past.” She advocates for robust verification strategies to minimise errors, including behavioural pattern analysis and CAPTCHA systems to filter out unreliable responses.
At Cashew, Graves confirms that their researchers employ various algorithms to ensure that the data collected is genuinely sourced from human respondents. Looking to the future, Nagpal foresees improvements in the reliability of AI-generated data and anticipates the introduction of sophisticated tools, such as facial recognition software, to glean deeper insights from respondents.
Why it Matters
The integration of AI into market research not only accelerates the process and reduces costs but also democratises access to valuable insights for smaller brands that previously could not afford such services. As the industry continues to evolve, the potential for AI to enhance the accuracy and depth of market research will shape the strategic decisions of businesses across various sectors. The implications are profound: faster insights lead to quicker market adaptations, ultimately fostering innovation and growth in an increasingly competitive landscape.