In this episode of the Seven Figures and Beyond Ecommerce Marketing Podcast, Greg Shuey dives into how AI can help brands unlock the hidden value inside their customer feedback. He explains that while collecting reviews, surveys, and chat transcripts is easy, the real challenge lies in making sense of that data at scale. Traditional manual analysis is slow, subjective, and prone to bias, while AI can quickly process thousands of comments, cluster them into meaningful themes, and surface patterns marketers might never notice on their own.
Greg walks through specific, budget-friendly tools and workflows that make this possible, from using ChatGPT or Gemini to cluster responses by topics like price, quality, and trust, to setting up automations with Tally, Zapier, and OpenAI that summarize new feedback in real time. He also introduces emerging tools like FormWise.ai, which automatically analyzes sentiment and intent within survey data. These insights reveal what truly drives customers to buy, what holds them back, and how they feel about their experiences, all essential inputs for shaping marketing, creative, and even product development decisions.
To bridge the gap between insight and execution, Greg shares a simple framework: list each theme, summarize what customers say, and define what action to take. By focusing on high-impact opportunities, like improving clarity around fit or shipping speed, brands can increase conversion rates, enhance customer satisfaction, and ultimately grow faster. He ends with a challenge: take your last 50 reviews, run them through AI, identify recurring patterns, and act on them. Doing this monthly, he says, will help brands stay attuned to evolving customer sentiment and continually align marketing with what buyers care about most.
Episode Links
Greg Shuey LinkedIn: https://www.linkedin.com/in/greg-shuey/
Formwise.ai: https://www.formwise.ai/
Tally: https://tally.so/
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