TikTok Shop is growing fast, but so is the money sellers are losing without ever knowing it. In this episode, George sits back down with Agassi Korkis, co-founder of CapTrack, to break down exactly how TikTok sellers are losing thousands in unrecovered revenue and how to get it back before the 60-day window closes forever.

We cover what CapTrack does and how it works, why TikTok sellers lose 2-3x more revenue than Amazon sellers, and the 60-day deadline you cannot afford to miss. Once that window closes, the money is gone. Permanently. One brand lost $212,000 in three months and never recovered a penny because they didn't know the clock was ticking.

We also get into how the free audit process works with no upfront cost, why FBT (Fulfilled by TikTok) is the key requirement to claim reimbursements, and CapTrack's 92% success rate on cases TikTok says can't be won.

Beyond reimbursements, Agassi gives his honest take on whether brands should add TikTok Shop to their business, how to test with your hero products first, and the TikTok to Amazon halo effect where one brand hit six figures from month one. We also talk about TikTok Live as the QVC of our generation, how micro-influencers with 20k followers are making a full-time living, and why TikTok's algorithm rewards content over follower count.

If you're selling on TikTok Shop or thinking about it, this episode could save you thousands.

#TikTokShop #CapTrack #TikTokSeller #EcommerceReimbursements #AmazonFBA #TikTokCommerce #TikTokLive #EcommerceTips #TikTokBusiness #FulfilledByTikTok #MicroInfluencers #EcommerceStrategy #TikTokSales #ClearAds #BusinessPodcast

Agassi Korkis co-founded Carbon Six, scaled it to over $50M in annual revenue, and helped sell it for more than $200 million in just 3.5 years. Now he's back with CapTrack, a tool that recovers lost revenue for TikTok Shop sellers.

In this episode, George sits down with Agassi for a deep dive into one of the most impressive SaaS exits in the Amazon space and what he's building next. We cover how he got involved at 27 with zero Amazon knowledge, the decision to buy 16 companies in 16 months while burning $1M a month, and the one acquisition (Seller Investigators) that flipped the entire business model. He breaks down building a scrappy sales team from scratch, the painful truth about cash burn at scale, and what separates founders who exit from those who fail.

We also get into why Agassi sees TikTok Shop as the next massive opportunity, how CapTrack works, and why TikTok sellers are losing thousands without knowing it. There's a 60-day window most sellers don't know about. Miss it and the money is gone forever. Plus the TikTok to Amazon halo effect, what products actually work on TikTok Shop, and why TikTok events are a completely different world from Amazon events.

Whether you're an Amazon seller, a TikTok brand, or an entrepreneur building in ecommerce, this one is packed with real lessons from someone who's done it.
#Ecommerce #CarbonSix #TikTokShop #AmazonFBA #SaaSExit #CapTrack #AmazonSeller #TikTokSeller #Entrepreneurship #StartupStory #EcommerceFounder #AmazonTools #TikTokCommerce #BusinessPodcast #ClearAds

Between February 12 and May 31, 2026, Amazon is splitting reviews across every variation family with functional differences. Flavours, formulations, specs, generations, formulas. Reviews aren't being deleted. They're being redistributed. And the visible review count on your listings is dropping in ways most sellers aren't catching until it hits their ACoS.

In this episode, I cover what actually changed in Amazon's review sharing policy and which variations are still safe. Why this is a PPC problem before it's a review problem, because your ads get hit first when social proof drops and click-through rates soften. The Vine enrolment trap catching sellers who did everything Amazon told them to do, where one enrolment per parent means you can't re-enrol individual children once reviews are separated. And the three risk zones (green, orange, red) for auditing your own catalogue this week.

I walk through a real client example with 12 supplement flavours that went from a consolidated review count across the family to individual counts per variation overnight. The listings that had been riding shared social proof suddenly stood on their own, and the campaigns running against them felt it immediately.

There are three moves you can make before the May 31 deadline. This episode gives you all three, plus when DSP demand generation becomes the right response to a social proof gap that listings alone can't fix.

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