Amazon knows who bought your rival's product last month. It knows when they bought it. It knows when they're about to run out. If you're running Amazon DSP, you can show your ad to every one of them at exactly the right moment.

In this episode, I walk through five specific ways to reach people who are currently buying from your competitors. Each one targets a different buyer at a different stage. Building a Product Purchases audience from rival ASINs and timing it to their reorder window. Targeting people who viewed a rival's listing but didn't buy while they're still deciding. The linked-product strategy most sellers never run, where you target buyers of complementary products that sit next to yours, which often beats direct rival targeting. Building lookalike audiences from your best Subscribe and Save customers using Amazon Marketing Cloud. And using the DSP overlap report to find buyer segments you'd never have picked on your own.

The data from brands running these methods: 89% higher conversions on the reorder window strategy versus cold traffic. Three to five times the return on AMC lookalikes versus standard in-market targeting. One brand hit a 480% jump in three months.

Whether you're exploring DSP for the first time, building a business case internally, or already running campaigns and looking for new plays, these are five you can build and test this quarter.

#AmazonDSP #AmazonAds #AmazonAdvertising #CompetitorTargeting #AmazonFBA #AmazonSeller #DSPStrategy #AmazonRetargeting #AmazonMarketingCloud #AMC #PPCStrategy #AmazonPPC #EcommerceStrategy #AmazonScaling #DigitalAdvertising

Most Amazon brands treat Sponsored Display and DSP as interchangeable, or assume DSP is just a more expensive version of the same thing. They're not. They operate on different mechanics, serve different strategic purposes, and target completely different budget levels. Getting this wrong means either funding the wrong tool for what you're trying to achieve or leaving the most powerful targeting capability on the platform untouched.

In this episode, I break down the real difference between these two tools. What each one can and can't do, where they overlap, and the one competitor audience that Sponsored Display structurally cannot access. I cover the exclusive ad inventory only available through DSP, including Prime Video, Twitch, IMDb, and Connected TV. And I walk through a real audit where a brand was using just 20% of the capacity available to them.

I also lay out five mistakes scaling brands make with these two tools and which ones are costing the most, plus a clear decision framework based on your current monthly ad spend. When to bring DSP in, what your setup needs to look like before it makes sense, and the measurement problem you need to fix first before any of the data is useful.

Whether you're researching Sponsored Display, trying to understand DSP, or evaluating whether DSP is worth the minimum spend, this is the honest comparison most agency content won't give you.

#AmazonDSP #SponsoredDisplay #AmazonAds #AmazonAdvertising #AmazonFBA #AmazonSeller #DSPvsSD #AmazonPPC #PPCStrategy #AmazonRetargeting #PrimeVideoAds #AmazonAdStrategy #EcommerceStrategy #AmazonScaling #DigitalAdvertising

We pulled a report for a brand recently. Established product, two years on Amazon, healthy ACoS across every campaign. What we found underneath it was that their organic rank had dropped four positions on their main keyword over six months. The revenue they were attributing to their ads? A significant chunk of it was sales they used to get for free. They weren't scaling. They were paying for ground they'd already owned.

In this episode, I break down why ACoS alone is the wrong target, what TACoS actually tells you that ACoS can't, and how to read your own numbers to figure out which side of this problem you're on. A brand with 18% ACoS and 22% TACoS is in trouble. That gap is too small. The same brand at 18% ACoS and 9% TACoS is healthy. ACoS can't tell them apart. TACoS can.

I walk through TACoS benchmarks by product stage: 25-40% at launch, 15-25% in growth, 8-15% at maturity. I cover how organic cannibalization works, where you're bidding aggressively on keywords you already rank for organically, your ad captures the click, your organic conversion rate drops, and over six months your rank drifts down one position at a time with no obvious inflection point. ACoS still looks fine. TACoS is creeping up. And you have no idea it's happening.

There's a two-minute calculation using your existing reports that tells you immediately whether your ad strategy is building your business or just replacing it. I show you exactly how to run it and where to redirect budget when ads are competing with your own organic listings.

We audited an account last month that had spent $6,600 over 65 days without a single order. Bids looked fine. Keywords made sense. Match types were clean. Nothing in Campaign Manager pointed to a problem, because the problem wasn't in Campaign Manager.

In this episode, I walk through a free report buried in Brand Analytics called Search Query Performance that most sellers have never touched. It breaks your top ASINs into a three-stage funnel: click rate, add-to-cart rate, and purchase rate, each one benchmarked against your category average. The whole thing takes about 20 minutes to pull.

In this account, stage one was basically perfect. Click rate sat at 1.64% versus a 1.62% market average. People were finding the product and clicking. No issue there. Stage two is where it collapsed. Add-to-cart rate was 38.7% against a 47% market benchmark. For every 100 clicks, roughly 8 buyers who should have carted the product just didn't. Faded product images, size info buried past the mobile title cutoff, confusing variant pricing. Four separate listing problems creating one ROAS problem that looked like it belonged to the campaigns.

Every single PPC dollar was working against a below-market conversion rate. No bid change in the world fixes that. Before you touch another bid, run that three-stage check. You might find out you've been optimizing the wrong thing entirely.

#AmazonPPC #AmazonAds #BrandAnalytics #AmazonFBA #AmazonSeller #SearchQueryPerformance #ConversionRate #PPCStrategy #AmazonListings #AmazonAdvertising #PPCOptimization #AmazonFBATips #ACoS #ListingOptimization #EcommerceStrategy

Amazon's standard ACoS calculation has a blind spot. When a customer clicks your ad for Product A but buys Product B, your campaign gets zero credit for that sale. You see high ACoS. You consider pausing. But the revenue was real. It just got credited somewhere else.

In this episode, I walk through a real client account where $78,400 in sales over 58 days was completely invisible in Campaign Manager. One product, a starter-size collagen pouch, was responsible for the majority of it. Its campaigns looked like they were barely breaking even at 60-80% ACoS. When we pulled the Purchased Product Report, that same product had driven $47,200 in halo revenue from customers who clicked the starter ad and upsized to larger variants.

I cover what halo purchases are and why Campaign Manager can't show them, the free report inside your account right now that reveals the full picture, the Gateway ASIN concept where one product carries the entire range through acquisition rather than direct conversion, and the Blended ACoS formula that gives you the real efficiency number. One campaign went from 108% direct ACoS to 27% blended. It was on the verge of being paused.

I also break down cross-category halo, where collagen ads were quietly driving $3,100 in joint support capsule sales that no campaign dashboard could explain. Cut the collagen spend because the direct ACoS looks soft and joint support drops weeks later with nothing in the data to tell you why.

The data is already in your account. You just need to know where to look.

#AmazonPPC #AmazonAds #AmazonAdvertising #ACoS #AmazonFBA #AmazonSeller #HaloSales #PPCStrategy #AmazonAttribution #CampaignManager #PPCOptimization #AmazonFBATips #EcommerceStrategy #AmazonData #BlendedACoS

There's a number buried in Amazon's ad documentation that changes how you should think about your entire campaign structure. It's 30. That's how many conversions per month a campaign needs before Amazon's algorithm can optimize your bids. In highly segmented accounts, most campaigns never get there. The structure you built for control is quietly working against you.

In this episode, I break down why the exact-match-only playbook from 2019 is now causing data starvation across most accounts. How Amazon's Cosmo engine changed the way the algorithm evaluates and optimizes campaigns. And what your account actually looks like to Amazon when most of your campaigns are sitting below that 30-conversion threshold with nowhere near enough signal to work with.

I cover why the instinct to fix it by pausing or toggling campaigns actually makes things worse, the 30-day audit you can run right now to see how much of your budget is stuck in the problem zone, and the 2026 campaign architecture built around three buckets that gives the algorithm enough data to actually do its job.

I also get into why budget allocation needs to completely flip from where most sellers have it today, and how negative keywords let you stay in control while running wider targeting.

If your account was built on the old segmented playbook and performance has been declining, this is probably why.

In April 2024, Amazon introduced a fee for carrying too little inventory. They already charged you for carrying too much. The window in between, 28 to 90 days of supply per FNSKU, is the only place you don't get penalized. And as of January 2026, that fee is now assessed per individual variation, not per parent ASIN. That rule change exposed a huge number of SKUs that were previously safe.

In this episode, I break down the full mechanics of how the low inventory fee triggers, the 2026 fee rates ($0.47, $0.87, and $1.11 per unit depending on how far below threshold you fall), and a real example where a single SKU selling 50 units a day generates $1,300 a month in fees. I also show you how to check if you're already being charged right now.

I cover how this fee interacts with DD+7 receiving timelines to create a cash flow trap that gets worse the faster you grow. Two Amazon policies pulling in opposite directions, one penalizing you for having too little stock and another limiting how quickly you can restock. Plus the May 2025 restock limit changes that made it even tighter.

I walk through three practical fixes: decoupling purchase orders from DD+7 timing, using Amazon Warehousing and Distribution, and domestic 3PL buffering. Plus the hidden lever most sellers don't know about, because a partial restock is enough to stop the fee from triggering.

You don't solve this with more cash. You solve it with better timing.

Amazon's ad platform has fundamentally changed. The old playbook of raising bids, increasing budgets, and winning more impressions is now actively working against you. CPCs are up 48% cumulatively since 2019. The algorithm no longer simply rewards the highest bidder. And more budget doesn't scale what's working. It gives Amazon permission to find traffic that doesn't convert.

In this episode, I break down what the algorithm actually rewards in 2026 and why a 15% converter beats a 2x bid every time. I walk through the 3-week budget trap where week one looks promising, week two softens, and week three falls apart as Amazon floods you with low-intent traffic. I cover the reset mistake that sends your campaign back to Day 1, and why ACoS is the wrong metric to watch when TACoS tells you what's actually happening with your business.

I also lay out the full diagnostic sequence you should follow in order before touching your budget. Start with creative and listing problems. Then bids. Then TACoS. Only then do you consider raising budget. Most sellers do this backwards and wonder why scaling makes things worse.

If you're spending more on Amazon ads and getting worse results, it's not a budget problem. It's a conversion problem. Stop outspending. Start out-converting.

#AmazonPPC #AmazonAds #AmazonAdvertising #AmazonFBA #AmazonSeller #PPCStrategy #ACoS #TACoS #AmazonAlgorithm #PPCOptimization #AmazonCPC #EcommerceStrategy #AmazonFBATips #AdSpend #AmazonBids