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James and Cissy explore one of the most practical uses of AI for authors: analysing advertising, sales, and marketing data to make better business decisions. James shares how he used Claude to review Facebook ads, KDP income, and reader engagement data, while Cissy explains how she used AI to assess years of BookBub performance and identify the best strategy for future promotions. Alongside the data discussion, they touch on the ongoing debate around AI writing, why detection remains unreliable, and how authors can focus on using AI as a powerful backend assistant rather than a creative replacement. The episode also includes a mention of James's upcoming webinar on improving AI translations.
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By James Blatch4.8
219219 ratings
James and Cissy explore one of the most practical uses of AI for authors: analysing advertising, sales, and marketing data to make better business decisions. James shares how he used Claude to review Facebook ads, KDP income, and reader engagement data, while Cissy explains how she used AI to assess years of BookBub performance and identify the best strategy for future promotions. Alongside the data discussion, they touch on the ongoing debate around AI writing, why detection remains unreliable, and how authors can focus on using AI as a powerful backend assistant rather than a creative replacement. The episode also includes a mention of James's upcoming webinar on improving AI translations.
Key Talking Points
Links & Resources Mentioned

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