Highway to Sell: Amazon PPC Insights

Amazon DSP had a credibility problem. Brands would spend $10K+, see incredible ROAS on the dashboard, pause campaigns, and sales stayed exactly the same. The attribution was lying, and everyone knew it. So they quit. They were right to.

In this episode, I break down exactly why DSP attribution was broken and how phantom conversions happened in the first place. Then I cover the three major upgrades Amazon made in 2025 and early 2026: multi-touch modeling, AI incrementality testing, five-year lookback windows, and randomized controlled trials that actually prove lift.

The new system uses control groups to measure what would have happened without your ad spend. That's a massive shift from the old model, which took credit for sales that were going to happen anyway.

I also walk through real brand case studies showing the pause test actually works now. Run campaigns, pause them, measure the difference, and the data lines up.

If you abandoned DSP in 2023 or 2024 because the numbers couldn't be trusted, the system that broke your trust got rebuilt from the ground up. This episode shows you exactly what changed and whether it's worth reconsidering.

#AmazonDSP #AmazonAdvertising #AmazonAds #AmazonFBA #DSPAttribution #ProgrammaticAds #AmazonSeller #AmazonMarketing #IncrementalityTesting #EcommerceStrategy #AmazonPPC #DigitalAdvertising #AmazonBrands #AdAttribution #EcommerceTips

Brands spending over $100,000 per month on Amazon PPC don't scale by raising budgets or bidding higher. They use six specific strategies that most sellers never implement.

In this episode, I break down the exact tactics we see in every high-spending account we manage. Search term isolation to stop waste from funding your winners. Dayparting to spend only during high-conversion hours with the same budget. Defensive moats that block competitors from stealing your traffic on brand terms and product pages. Amazon Marketing Cloud prediction that lets you bid on behavior instead of guessing. SQP gap filling using Brand Analytics to find "invisible bestseller" keywords where you convert 2x better but only get 2% impression share. And DSP buyer ownership, where you target who someone is instead of what they search.

These aren't theories. These are the actual plays running in accounts spending six figures monthly on Amazon ads. If you're trying to scale by just increasing bids and budgets, you'll hit a ceiling fast. Inefficiency kills growth faster than budget fuels it.

#AmazonPPC #AmazonAds #AmazonAdvertising #AmazonDSP #PPCStrategy #AmazonFBA #AmazonSeller #AmazonMarketing #AMC #BrandAnalytics #AmazonPPCTips #PPCOptimization #EcommerceStrategy #AmazonScale #SponsoredProducts

Amazon raised FBA fees on January 15th, 2026. If you haven't adjusted your PPC strategy since then, your campaigns that look profitable on the surface are probably bleeding margin right now.

In this episode, I break down exactly how the $0.08 fee increase combined with rising CPCs has changed your break-even ACoS. That 28-30% target you've been running? It's not profitable anymore, and I show you the hidden math behind why.

I walk through how to recalculate your new break-even ACoS after the fee increase, the CPC inflation problem most sellers aren't tracking, and three surgical bid adjustments that cut waste without tanking your sales volume. I also cover why lowering bids on mid-performers first protects margin better than cutting budgets, and why Seller Central data alone isn't giving you the full picture.

This isn't generic PPC advice. This is a defensive strategy built for the reality of increasing Amazon fees in 2026. If you're running the same ACoS targets you used in 2025, your margins are shrinking and you won't see it until your monthly P&L drops.

#AmazonPPC #AmazonFBA #FBAFees #AmazonAds #ACoS #PPCStrategy #AmazonSeller #AmazonAdvertising #PPCOptimization #AmazonFees2026 #EcommerceProfitability #AmazonFBATips #PPCManagement #AmazonBids #EcommerceStrategy

On January 11th, Google announced the Universal Commerce Protocol at the National Retail Federation conference. AI agents can now complete purchases without customers ever visiting your website. No redirect, no checkout page. Just "buy this" and done.

Google partnered with Shopify, Walmart, Target, Etsy, Wayfair, Visa, Mastercard, Stripe, and PayPal to make this happen. The infrastructure is live right now.

In this episode, I break down what Google actually announced and why it's different from every other AI shopping feature that came before it. I cover the "N-by-N integration bottleneck" that killed previous AI commerce attempts and how UCP solves it, the 90-day window to get ahead before this becomes table stakes, and what actually changes versus what doesn't (you still own the customer, and I explain why).

I also get into the new metric that will predict revenue in 2026. Hint: it's not traffic.

If you're still optimizing for website visits, you're optimizing for a metric that's about to stop mattering. The sale can now happen without the site visit. That changes everything about how you compete online.

The brands that win in 2026 won't be the ones spending the most on ads. They'll be the ones with the cleanest data and the most reliable systems.

#GoogleUCP #Ecommerce #AICommerce #AmazonFBA #ShopifySeller #DigitalCommerce #AIAgents #EcommerceStrategy #GoogleAI #RetailTech #OnlineSelling #ProductData #EcommerceTips #FutureOfRetail #AmazonSeller

Google quietly rebuilt Google Trends with Gemini AI built directly into it. It launched on January 14th, and it makes most paid SEO tools look overpriced.

In this episode, I walk through exactly what changed and why it matters. The new Google Trends surfaces keyword opportunities automatically, compares up to 8 trends at once, and classifies search intent for you. That last part is huge. Google is now telling you why people are searching, not just what they're searching for.

I cover the 4 ways creators and brands are already getting results with it, how to use it for keyword research, content ideation, competitive analysis, and workflow integration. I also break down a real example where one creator ranked #1 in Google Discover within 12 hours using insights from the updated tool.

Traditional keyword research takes hours. This takes minutes. And it's free.

If you're doing SEO, content marketing, YouTube keyword research, or product research, this episode shows you how to get more out of a free tool than most people get from their paid subscriptions.

#GoogleTrends #KeywordResearch #SEO #FreeSEOTools #GoogleGemini #ContentMarketing #YouTubeSEO #MarketResearch #ContentStrategy #SEOTools #GoogleAI #TrendingTopics #DigitalMarketing #EcommerceTips #ContentCreator

Google Analytics can't see AI bots. Neither can Ahrefs. So we installed server-side tracking on our website and recorded every AI crawler that visited in 24 hours. ChatGPT, Meta AI, Amazon Q, Claude, TikTok AI, and more all showed up. GA4 caught none of it.

In this episode, I break down why GA4 is completely blind to AI bot traffic and why that's not something a setting change can fix. I also cover why Ahrefs Brand Radar only catches around 3% of actual AI mentions, the 3 levels of AI visibility tracking and where your brand should be, and our real 24-hour data showing which bots showed up, what they crawled, and what surprised us.

I get into the zombie URL problem, where duplicate or outdated pages are splitting your AI signal without you knowing, and why ranking on Google and getting cited by AI are two completely different things.

If you're selling on Amazon or running any ecommerce brand, AI platforms are already deciding whether to recommend you or your competitor. This episode shows you what's actually happening behind the scenes, with the data to prove it.

#AISearch #AIVisibility #ChatGPT #GoogleAnalytics #EcommerceSEO #AmazonFBA #AmazonAdvertising #ServerSideTracking #AIBots #DigitalMarketing #SEO #Ecommerce #BrandVisibility #AIOptimization #MarketingData

Most Amazon sellers guess what to put in their listing images. That guesswork is costing you conversions, organic rank, and ad efficiency all at the same time.

In this episode, I walk through a data-driven method to identify the exact image problems stopping customers from buying on your Amazon listings. Using a tool called Keplo, you can scrape your reviews, competitor reviews, customer questions, and Amazon Rufus AI data to find the specific purchase barriers killing your conversion rate. Then generate optimized images to fix them.

I cover a real example where five critical patterns showed up on a single listing: size confusion, quality doubts, color accuracy issues, missing proof of claims, and unclear materials. Each one was a conversion killer hiding in plain sight.

I also break down the flywheel effect and why a 2% conversion rate improvement doesn't just add 2% to your business. It compounds through sales velocity, organic ranking, traffic, and PPC efficiency. Better images lead to higher CVR, which leads to more sales, which leads to better rank, which brings more traffic at that higher conversion rate. The math on this is wild.

If you're an Amazon seller with a conversion rate problem and you've been guessing at image fixes, this episode shows you how to let the data tell you exactly what to change.

#AmazonFBA #ConversionRate #AmazonListingOptimization #AmazonImages #AmazonSeller #AmazonCVR #EcommerceOptimization #AmazonPPC #ProductPhotography #AmazonA9 #ListingImages #AmazonFBATips #AmazonSellers #Ecommerce #AmazonStrategy

When should you pause keywords on Amazon PPC? Most sellers pause too early and destroy their organic rank without realizing it.

In this episode, I break down the 5 rules you need to check before pausing any keyword in your Amazon ads campaign. The click threshold (it's not 10 clicks), why you need to compare conversion rates before you kill, how to identify the actual job of each keyword, why you should split winners before killing losers, and why placement data matters more than the keyword itself.

If you're getting clicks without sales on Amazon PPC, this episode shows you exactly how to decide what to do next. I also cover when lowering the bid is better than pausing, how negative keywords save campaigns instead of pausing them, and the real cost of pulling the trigger too early.

Pausing feels like optimization. Most of the time, it's just cutting off momentum before it has a chance to work.

#AmazonPPC #AmazonAds #AmazonFBA #PPCOptimization #AmazonSeller #AmazonAdvertising #AmazonKeywords #PPCStrategy #ACoS #AmazonPPCTips #SponsoredProducts #AmazonAdSpend #KeywordOptimization #EcommerceTips #AmazonFBATips

Are you wasting 20-40% of your Amazon ad budget on searches that will never convert? Negative keywords in Amazon PPC fix that problem, but only if you use them correctly.

In this episode, I walk through everything you need to know about negative keywords on Amazon. How to find them in your Search Term Report, the difference between negative exact and negative phrase match, how to build a master negative keywords list (150+ terms across 6 categories), and the mistakes that cause over-negating and kill campaigns.

I also break down N-gram analysis to spot wasting patterns, how to add negative keywords and ASINs in your campaigns step by step, and the positive-to-negative ratio that separates profitable campaigns from wasteful ones.

Whether you're running Sponsored Products, Sponsored Brands, or Sponsored Display, negative targeting is the fastest way to lower ACoS and improve ROAS without spending more. This is the complete guide, from finding waste in your search term report to building a system that prevents it before it happens.

#AmazonPPC #NegativeKeywords #AmazonAds #AmazonFBA #PPCOptimization #AmazonAdvertising #AmazonSeller #SponsoredProducts #ACoS #AmazonPPCStrategy #ROAS #AmazonFBATips #PPCTutorial #AmazonAdSpend #EcommerceTips

TikTok is quietly blocking seller-fulfilled orders while Amazon rolls out a 15% discount specifically for TikTok sellers. Coincidence? Not even close.

In this episode, I break down the new TikTok-Amazon fulfillment pipeline that nobody's talking about. What's actually happening behind the scenes, Amazon's new MCF Preferred Pricing ($1 credit per unit, up to $50K annually), the real math on whether it saves you money, and how to set the whole thing up step by step.

I also get into the bigger strategic picture: TikTok and Amazon aren't competing anymore. They're building a shared commerce pipeline. TikTok drives discovery, Amazon handles fulfillment, and sellers either profit from both or get squeezed in the middle.

Whether you're doing 500 or 5,000 TikTok orders a month, this episode helps you figure out if the switch makes sense for your margins and exactly how to play it if it does.

#TikTokShop #AmazonFBA #MCF #Ecommerce #MultiChannelFulfillment #TikTokSeller #AmazonMCF #EcommercePodcast #AmazonSellers #FulfillmentStrategy #OnlineBusiness #TikTokShopSeller #MCFPreferredPricing #Dropshipping #EcommerceTips