'Tis the season for different publishing niches
Just like retail stores sell certain products during certain times of the year, like swimsuits in June and ornaments in December, books tend to go through different seasons. Now, self-publishing can move pretty quickly, so the trends can change over time, but here we’ll address the following question: When is the best time to publish in each niche?
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Here's how one of our brilliant coaches answered this question inside our exclusive AIA Facebook group of over 35k freedom seekers from around the world:
Just to recap, here are some general trends within the self-publishing industry:
You’ll notice another trend here is to publish the book slightly in advance of when readers will be searching for it. This gives you the perfect opportunity to start collecting positive reviews, which can go on to essentially sell your book for you.
Here’s how to stay on top of things:
You should be doing market research each and every time you publish a book because what was popular last month might get outshined by something else three months from now. Finding success as a publisher is all about adaptability. It’s kind of like surfing. Are you willing to get back on your board knowing that another big wave is on its way?
AI is disrupting every industry, and publishing as well as writing books with artificial intelligence is no exception. Those who adapt and learn to integrate it are automatically going to be lightyears ahead of those who don’t. There are already so many uses for it, like coming up with book topics, creating book outlines and book descriptions, and even editing and proofreading your work.
And the best part is it’s accessible to everyone.
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AI can’t write, edit, and format a whole book for you with just one button. At least, even if it could, it would be missing that human touch of creativity and probably wouldn’t be very good.
The thing is, it’s evolving every single day, and big companies like Google and Amazon are starting to notice. They’re all investing billions of dollars into AI research for a reason.
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