AI-driven market research can now bring together a range of research methodologies, data types and machine learning techniques to automate the research process from design to delivery. By putting AI at the core of a platform and layering methodologies and frameworks around it, AI can not only drive research design to generate insights, but also can provide recommendations that inform business decisions.
Moreover, instead of market research being a one-and-done proposition, in which the knowledge gained informs a single decision and then gathers dust, AI-driven research project data and knowledge persist, joining the company’s entire body of research to be leveraged to provide answers to business questions. With AI, users can access a portal to ask questions in natural language, receiving answers (and reports) via natural language processing.
The practical applications of this capability are virtually limitless, and they’re not confined to just the marketing department. Another advantage of AI-driven market research is that AI and machine learning functions get smarter over time and create scalable business impact across the organization. But here are three use cases for AI-driven market research that are especially useful for marketing:
Segmentation: Marketers take on segmentation projects to more efficiently target customers and refine and optimize marketing strategies. AI-driven market research can assist by making it simple to build dynamic micro-segmentation models, create archetype segmentation for messaging design purposes, develop attitudinal segmentation to understand the customer mindset and optimize global marketing investment with country clustering.
Brand optimization: AI-driven market research tools can deliver a brand measurement framework centered on the customer, accessing diverse information sources to provide a comprehensive picture of brand health. This gives marketers insight about brand equity and the actions they can take to capitalize on it most effectively. Practical applications can include a brand health dashboard and identification of key brand loyalty drivers.
Media strategy: The right AI-driven market research tool can assist with media planning and execution by defining campaign success and identifying impact. It can bring diverse data together, including survey information, social media and in-house sales data to provide recommendations that improve customer interactions. AI-driven research can also measure ROI from media spend and promotions and recommend channels to optimize reach.
With a platform-based, AI-driven market research solution, the data, results and insights generated from research projects can be leveraged across the enterprise, training self-learning algorithms that get more intelligent and align with unique company dynamics. Continuous learning and data generate benefits beyond marketing, delivering a positive impact on sales, product development, supply chain and more.
Also Read: A Modern Formula for Data-Driven Marketing
It’s now possible for marketing to add an AI-driven marketing research tool to the solution stack. Since market research projects no longer require weeks and months to complete or a team of experts to interpret, companies can leverage market research in daily operations. The democratization of market research will be a gamechanger for the industry.