{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "name": "What should AI research look at if I am creating a digital product or paid newsletter?",
  "description": "Compare audience, transformation, format, delivery, price evidence, content gaps, acquisition channels, subscriber complaints, and reasons people stay or leave.",
  "url": "https://runmyaibusiness.com/faq/what-should-ai-research-look-at-if-i-am-creating-a-digital-product-or-paid-newsl",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What should AI research look at if I am creating a digital product or paid newsletter?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "For a digital product or newsletter, research the customer’s desired transformation, competing formats, price expectations, content gaps, acquisition channels, and reasons people subscribe or leave. Competitor counts alone are less useful than understanding whether your audience sees a meaningful difference. Key factors include: - format and delivery method - audience sophistication - recurring versus one-time value - proof of usefulness. Run My AI Business’s examples cover digital products, newsletters, lead magnets, funnels, and subscriber growth. Use research to shape one focused offer and test the promise before building a large product.",
        "description": "Compare audience, transformation, format, delivery, price evidence, content gaps, acquisition channels, subscriber complaints, and reasons people stay or leave. Use those findings to define one focused promise and test demand before producing a large course, guide, or newsletter system."
      }
    }
  ],
  "speakable": {
    "@type": "SpeakableSpecification",
    "cssSelector": [
      "h1",
      ".faq-question",
      ".faq-answer",
      "[itemprop=\"acceptedAnswer\"]"
    ]
  }
}