This podcast episode focuses on enhancing Amazon listing images using AI, emphasizing the importance of pre-design research and post-design testing. Hannah Tampioc from Mad Cat Creatives shares the SORT framework: Spot the priority, Observe and gather context, Reason through data, and Test before committing. She highlights that effective images require understanding shopper behavior, prioritizing mobile optimization, and addressing customer concerns from reviews and Rufus questions. Tampioc demonstrates using ChatGPT to analyze customer feedback and Gemini to generate image prompts, along with Canva for image creation. She also underscores the significance of A/B testing using tools like PICFU to validate image choices with the target audience, ensuring images not only look good but also convert effectively.
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