I’ve been trying all day, but I haven’t been able to see my Amazon ads dashboard. It doesn’t load. Have you been having problems as well?

I've been sitting on this post for a while because I wanted to make sure I wasn't just being dramatic. After months of watching the space closely, I'm convinced this isn't fear-mongering — it's pattern recognition. Here's my honest breakdown of where Amazon KDP is headed — for all of us. The Ground is Already Shifting Under Our Feet KDP is currently the frontline of AI disruption. The market isn't just "getting competitive" — it's being flooded with synthetic content at a scale we've never seen before. Amazon knows it. That's why they're actively rewriting the rules: algorithm changes, royalty structure tweaks, review policy updates. The A10 algorithm shift wasn't accidental. They're trying to manage a glut they didn't anticipate, and they're doing it in real time. If we've noticed our organic rankings slipping over the past year, we're not imagining it. The playbook that worked in 2022 is now actively working against us. The Next 1–2 Years: We're No Longer Authors. We're Media Buyers. Here's the hard pill: writing a well-structured, 30,000-word book is no longer a differentiator. We can produce it in a day. Execution — the thing we used to compete on — has been commoditized overnight. And before anyone says, "just write better, more human content," readers can't actually tell the difference anymore. That ship has sailed. Competing on the quality of the text itself is a losing game, regardless of how it's produced. So what actually wins now? External attention. Amazon's new algorithm heavily rewards books that arrive with an audience already attached. That means the winners over the next two years won't be the best writers. They'll be the best digital marketers — the ones building newsletters, growing YouTube followings, nurturing Skool communities, and then pointing that audience toward their books. Our identity in this business has to evolve. We need to think of ourselves less as authors and more as media brands that happen to publish books. The second piece of this is what I'm calling the trust premium. Readers are already experiencing AI fatigue, even if they can't name it. They can feel when a person is behind something — not because the writing is better, but because the marketing is authentic, the niche is specific, and the face behind the brand is real and present. Verifiable human presence and transparent, specific marketing will convert dramatically better than anonymous, optimized content. Our humanity isn't in the text anymore. It's in how we show up off the page.

Yesterday was an interesting day: @Matt Radkiewicz and @Barry Georgiou published videos on how to structure Amazon Ads campaigns. Matt and Barry are accomplished publishers, and clearly, we can extract a lot of value from both videos. But on the surface, they seem to contradict each other in some areas. For example, using an auto campaign at the start. I would like to give my perspective on the topic, and we could continue in the comments. Barry provided a clear, simple structure: Phase 1, Phase 2, and Phase 3, with exact goals for each phase. And it's great if we assume the promoted book is great, the niche has potential, and the promotion timeline is infinite. Matt, on the other hand, provided the structure for a publisher that cannot make a long-term commitment to the book yet due to insufficient data. His $500 campaign provides a framework for gathering initial data to determine whether the promotion should continue. As for me, Matt and Barry described frameworks for completely different scenarios, and we should not compare them; rather, we should consider them for different use cases. What is your opinion on the topic? @Robert Enochs does it make sense for you?

I published a new video breaking down my 5-step Amazon KDP Ads strategy for promoting a book with a $500 budget. For most books, spending $500 wisely on ads is enough to increase sales, collect meaningful data for optimization and scaling, and identify potential bottlenecks holding the book back. The amount of data you gather depends on the cost per click (CPC) in your niche. What are your average CPC levels?

Most authors worry about piracy. But there's a much more dangerous threat: Copyright Weaponization. On Amazon, your original content isn't just an asset - it's a vulnerability. Bad-faith actors are now using Amazon's own "Safe Harbor" tools to sabotage legitimate creators. Here is how the "Strategic Sabotage" loop works and how to protect your account. The Trap: "Guilty Until Proven Innocent" Amazon operates under a "notice-and-takedown" regime. Because they want to avoid legal liability, their systems are hard-wired to: - Act First, Verify Later: They remove content immediately upon a claim, favoring the claimant by default. - Shift the Burden: You are forced to "prove a negative" (that you didn’t steal your own work), usually within a 5-7 day window. - Automated Bias: AI bots handle these claims. If a bot sees a similarity, you get the "strike" - even if the other person stole from you. Tactics to Watch For - "Ghost" Content: Thieves using your manuscripts or scrape your "Look Inside" preview, publish it themselves, and then report you for plagiarism. - Retaliatory Strikes: If you report a copycat, they file a false counterclaim against you, resulting in a "confidentiality deadlock" where both accounts are suspended. - Trademark Trolling: Bad actors trademark common phrases used in titles (e.g., "Mamma Bear" or specific niche keywords) to retroactively wipe out top-selling competitors. Your Defensive Checklist To survive the "copycat era," you need a defense-first workflow. Don't wait for a strike to happen: 1. Register with the USCO: A formal Federal Copyright Registration is your "Silver Bullet." 2. Use Independent Witnesses: Services that provide digital timestamps are available. This creates an indisputable record that your work existed before the thief's version. 3. Keep the "Paper" Trail: Always save your original layered files (PSD, AI) and early manuscript drafts. Flattened PDFs or Canva receipts are often rejected as "low-weight" evidence.