About this episode

Kay Allison discusses how AI can enhance audience research and product innovation by mining customer signals from platforms like Reddit.

In this episode of Digital Marketing Masters, I sit down with product development and consumer insights expert Kay Allison to explore how AI can supercharge audience research and product innovation. We discuss why so many entrepreneurs (and big brands) mistakenly project their own preferences onto customers, how to recognize different decision-making styles and motivations, and the importance of uncovering real human conflicts, those tension points between what people want and what’s available. Kaye shares practical, low-cost methods to mine authentic customer conversations from Reddit, reviews, and social platforms, plus how to structure prompts for AI tools to identify segments, surface unmet needs, and turn messy qualitative data into actionable insights. We also dive into advanced and “poor man’s” workflows: using Reddit’s Answers, exporting forum threads into docs, and uploading them to AI for synthesis; directing models to targeted sources and timeframes; and crafting context-rich prompts that specify role, data, output, and formatting. Kaye outlines a replicable prompt framework and offers her custom GPT for sorting customer data. We wrap by connecting these skills to…

People in this episode

Host: Matt Rouse

Guest: Kay Allison

Topics covered

• AI in marketing
• customer insights
• audience research
• product innovation
• decision-making styles
• qualitative data analysis

Keywords

• AI
• customer insights
• Reddit
• audience research
• product innovation
• qualitative data
• decision-making

Mentioned in this episode

Organizations: Reddit, AI, GPT

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