Amazon Ads: 5 Myths Hurting Sellers in 2026

There’s so much bad advice out there about Amazon ads and how the auction works, and it’s costing sellers a fortune by sending them down totally inefficient paths. Figuring out how this whole thing really operates, from the weird legal challenges it’s facing to the absolute necessity of good business intelligence, is what separates the brands that are actually growing from the ones just treading water. So what are the common beliefs about Amazon’s ad system that are killing businesses in 2026?

Myth 1: Amazon’s Ad Auction is a Simple First-Price Bid System

A lot of advertisers think if they bid $2.00 for a click on a Sponsored Product ad, they’ll pay $2.00 every time they win. That’s a huge and costly misunderstanding. Amazon actually uses a second-price auction model, just like other big ad platforms. This means the winner pays only one cent more than whatever the second-highest bidder offered, up to their own max bid. If you bid $2.00 and the next person in line bid $1.50, you’ll only pay $1.51 for that click. It’s designed this way to get you to bid what you’re truly willing to pay, since you know you won’t get gouged on every single win. This one mistake creates two bad outcomes: some advertisers get scared of overspending and set their bids too low, completely missing out on impressions, while others overbid by a massive margin because they think they need to, not realizing the actual cost-per-click (CPC) is set by their competitors. Just getting a handle on the second-price auction is the first step to using your budget efficiently. It means you can bid aggressively when you have to, knowing the final price will be kept in check by the rest of the field. We’ve seen countless accounts where simply explaining this principle to the managers resulted in an immediate jump in impression share and profit because they could finally bid their true value without being terrified of paying it.

Myth 2: External Data is as Powerful as Amazon’s First-Party Data for Targeting

Advertisers often show up with their own treasure troves of customer data or third-party audience lists from other campaigns, thinking they can plug it into Amazon Ads and get the same results. While that external data is good for your own strategy sessions, inside Amazon’s walled garden, Amazon’s first-party data reigns supreme for actually targeting people and getting results. It’s an architectural reality of their platform. Amazon has a staggering amount of data on purchase history, browsing patterns, and shopper demographics that is directly connected to its millions of customers. Think about it: when you use their “In-Market Audiences” or “Lifestyle Audiences,” you’re plugging directly into Amazon’s own analysis of who is about to buy what, an insight derived from billions of real-world clicks and “add to cart” actions on their site. An advertiser might have a fantastic email list, but trying to upload and match it with the same accuracy on Amazon is going to be disappointing because the platform will always trust its own signals more. Recent privacy laws, like the Digital Markets Act (DMA) that went into effect in the EU in March 2024, just make this more concrete by putting tight restrictions on how “gatekeepers” like Amazon can mix and match data. This all means you have to get really good at using Amazon’s built-in signals instead of trying to make your external data do something it can’t. A report from eMarketer.com in early 2025 even showed that advertisers who focused on Amazon’s native targeting tools had a 15% higher return on ad spend (ROAS) on average than those who kept trying to rely on imported data.

Myth 3: Amazon’s Advertising Data is Transparent and Easy to Interpret

There’s this idea, especially with people new to selling on Amazon, that the platform gives you all the data you need in a clean, easy-to-read format. The truth is that it’s a mess. Amazon provides a ton of reports, but the sheer volume of it and the way they define their metrics can be incredibly confusing and even misleading if you don’t have a strong business intelligence (BI) framework to sort through it. For instance, you have to know how their attribution models work. The default for Sponsored Products is often a last-touch, 7-day click-through model which completely ignores how your other ads might have influenced that final sale or the longer journey a customer took. Another tricky one is the “New-to-Brand” sales metric. It sounds great, but a customer can be counted as “new-to-brand” for one of your ASINs even if they’ve been buying other products from your brand for years. Is that really a new customer? Without BI tools to pull the raw data and compare it against your other sales channels, you can end up celebrating the wrong things. We see clients all the time who are optimizing for a metric that looks great on the surface but, after a deeper analysis, isn’t actually driving incremental growth at all. The IAB (iab.com/insights) constantly puts out guidance on digital measurement for this exact reason, pushing for better tools to put platform-specific reports into proper context. If you ignore this complexity, you’re just throwing money away.

Myth 4: Legal Challenges to Amazon Ads are Primarily About Antitrust

When people talk about the legal heat on Amazon’s ad business, their minds usually jump straight to big, general antitrust lawsuits about market dominance. And while that’s definitely happening in both the US and EU, the more immediate and practical legal actions have been much more focused on data privacy, transparency, and the unfair competition that comes from Amazon being both the marketplace and an advertiser. The European Commission’s investigations under the Digital Services Act (DSA) and DMA, for example, are looking at exactly how Amazon uses third-party seller data to help its own private-label products and ad campaigns. This is way more specific than just antitrust. It’s about whether the game is rigged. In the US, the Federal Trade Commission (FTC) is asking similar questions, probing whether Amazon’s access to every third-party seller’s sales data gives its own ad business an advantage no one else can compete with. It’s not just about how big Amazon is, but whether it’s playing fair. As an advertiser, you have to watch this stuff, because it could lead to sudden changes in how targeting works, what data you’re allowed to see, and even how ads get placed. Ignoring these legal fights is like driving with your eyes closed, you’re going to be totally unprepared when the platform suddenly changes the rules.

Myth 5: Setting It and Forgetting It is a Valid Strategy for Amazon Ads

The idea that you can set up your campaigns with some good keywords and bids and then just let them run on autopilot is probably the most destructive myth in Amazon advertising. The truth is that Amazon’s algorithms are in a state of constant evolution and refinement. A strategy that worked perfectly six months ago could be completely useless today, which is why you need to be constantly monitoring, analyzing, and adjusting. Just look at how often Amazon tweaks its main search algorithm, which has a direct effect on your organic rank and, in turn, how well your Sponsored Product and Sponsored Brand ads perform. They’re also regularly rolling out new ad formats, like Sponsored TV or more advanced Sponsored Display audiences, and if you’re not adapting your budget and strategy to test these new opportunities, you’re falling behind. Then you have to account for seasonal shopping spikes, what your competitors are doing, and shifts in what customers are searching for, all of which demand your attention. This is where a good BI system becomes non-negotiable, giving you daily or weekly reports that can flag problems like a sudden drop in impression share or a CPC spike for a key term, letting you figure out and react to what happened. Neglecting this continuous management is the fastest way to either leave a ton of money on the table or, even worse, just burn through your budget on campaigns that stopped working weeks ago. Amazon’s ad platform is complicated, but it also offers a huge opportunity for growth. Getting past these myths and adopting an approach that is data-driven, legally aware, and always ready to adapt is the only way you’re going to win.