Record Q4 sales can hide a painful truth: without clean books, you may be celebrating revenue while bleeding profit. We sit down with ConnectBooks CEO Nachman Lieser to unpack a simple but powerful idea—your books are the story of your business, and the clearer the story, the smarter your decisions.

We start with the real shocks sellers faced this year, from tariffs to rising storage costs, and show how to see their impact on margins instead of guessing. Nachman explains why comparison reports matter on big promo days, and how to allocate returns and storage fees to the correct months so December’s P&L reflects reality. That single shift often exposes loss-making SKUs masked by flashy sales. We also dig into landed cost, overhead, and category splits so you can know your true break-even by product type and stop relying on gut feel.

Cash flow takes center stage as we explore inventory age and turnover. If monthly COGS is $300k, why is $2.5M tied up on the shelves? Learn simple thresholds to right-size inventory, reduce carrying costs, and improve liquidity. Nachman highlights how Costco wins with roughly 3,800 SKUs and high turns—and how that mindset can guide smarter purchasing, forecasting, and pricing in your own catalog. The payoff: fewer heroics, more control, and a bank balance that matches your effort.

If you want a clearer P&L, healthier cash flow, and a calm plan for Q4 and beyond, this conversation maps the path. Subscribe, share with a seller who needs a margin wake-up, and leave a review with the one metric you’ll track differently this week.

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What if your biggest growth unlock isn’t a new channel, but how you use the ones you already have? Two seasoned operators go head-to-head on the smart way to apply AI, the real winners for 2026 ad spend, and the first hire that sets your brand’s trajectory. The conversation gets specific fast: why letting AI write your SEO is a trap without data, how compliance hallucinations can quietly nuke revenue, and where “amplify, don’t replace” turns AI into a creative force multiplier for images and short-form video.

We weigh “Amazonia” against TikTok’s momentum and land on a pragmatic view: Amazon remains the backbone for scalable, exit-worthy revenue, while TikTok and Reddit create edge opportunities when matched to the right ICP and creative. The hire debate splits the room—growth manager to push demand and break bottlenecks vs COO to build processes first—but both paths win when you commit to testing and clear goals. On wasted spend, we call out untargeted brand campaigns and untested products, then offer a tighter loop: prototype, measure, iterate, scale.

Expect actionable channel strategy. Treat Instagram and Facebook as distinct ecosystems inside Meta. Explore Reddit for efficient, context-rich placements that meet buyers inside candid communities. Max out branded and high-intent search on Google and Amazon to catch ready demand. For the customer journey, we frame friction as price and choice: price must tell a value story, and choice overload demands sharper positioning, clean comparisons, and a single, obvious job-to-be-done. Retention flows from product truth and experience—memorable unboxing, useful follow-ups, and a product that simply works.

We close by showing where AI truly shines right now: accelerating creative. Generate lifestyle images and believable video seconds, then polish with human editing to ship more winning variants across PDPs and feeds. If you want to grow faster without burning cash, this showdown delivers the blueprint. If you learned something useful, follow the show, share with a teammate, and leave a quick review—what tactic are you betting on for 2026?

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The past year didn’t just test margins—it rewired how smart sellers plan, create, and scale. We sit down with Abe Chomali to unpack the two forces that defined 2025—tariffs and AI—and get tactical about what actually moved the needle and how to turn those lessons into a winning 2026 strategy.

We start with the tariff squeeze and why the brands that treated it as a finance problem, not a marketing problem, came out ahead. Abe breaks down contribution margin in plain terms and shows how earlier inventory bets, disciplined pricing, and forecasting turned pressure into profit. Then we shift to AI: not the hype around shiny shopping features, but the real gains from spinning up dozens of video and image variations, testing them ruthlessly, and pairing results with AMC insights. If you’ve wondered whether a 2% conversion lift matters, Abe explains why at scale it can equal a house.

We also explore how Amazon’s search experience is quietly evolving—answering nuanced questions, reducing returns, and rewarding detail-rich listings that anticipate buyer needs. Abe shares why 2026 success will belong to sellers who combine differentiated products with rigorous operations and own demand beyond ads. Think Amazon Creator Connections, TikTok, and community-driven awareness that primes shoppers before they ever type a keyword.

If you’re launching next year or leveling up, this conversation doubles as a playbook: build something truly better, run your numbers like a pro, and let AI accelerate creative and analysis rather than replace judgment. Subscribe, share this with a fellow seller, and leave a review to tell us the first test you’re running this week.

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Headlines moved fast this quarter, but the throughline is unmistakable: AI now sits at the center of e‑commerce strategy. We dig into Amazon’s shift toward agentic AI that actually does the work—fixing listings, launching campaigns, and resolving account issues—then follow the ripple on the shopper side as Rufus becomes a core shopping layer. When customers type “best drain cleaner for old pipes,” the assistant doesn’t just find keywords; it selects solutions. That’s why GEO—optimization built for how AI understands goals, entities, and outcomes—now beats traditional SEO.

We also unpack TikTok Shop’s growing pains and progress. Counterfeiters tried to ride generative tools to fake reviews and visuals; TikTok answered with a combined AI and human crackdown that removed tens of millions of listings and hundreds of thousands of sellers. The message is clear: trust is the moat. Meanwhile, Walmart tested a premium pivot, chasing higher-end assortments. The opportunity is real, but shopper expectations and merchandising still lag. Premium brands should enter with care, protect price architecture, and watch for improvements in content modules, ads, and service SLAs before scaling.

Numbers tell the rest of the story. Cyber Monday hit a record $14.25B, Black Friday reached $11.8B, and total Cyber Week spend landed at $44.2B. Mobile accounted for 57% of Black Friday purchases, and AI-assisted shoppers were 38% more likely to convert—proof that the path to purchase runs through a small screen and a smart agent. Looking forward, AWS is pushing custom silicon to cut AI costs, and TikTok is preparing a U.S. data migration by March 2026 alongside stricter AI labeling. Our takeaways are simple: build mobile-first content, structure product pages so assistants can parse real outcomes, invest in authentic creator proof, and price for promotion-heavy peaks.

If this breakdown helps you plan 2026, tap follow, share it with a teammate, and leave a quick review so more sellers can find the show.

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Bad reviews aren’t just bruising your ego—they’re taxing your rank, spiking your PPC, and scaring off retail buyers. We sat down with Shane Barker, CEO and co-founder of TraceFuse, to unpack how to remove violating Amazon reviews the right way and protect your most important ASINs without risking your account.

We get specific about what Amazon actually prohibits: exact price mentions, competitor callouts, profanity, and FBA-related complaints that blame the product for shipping failures. Shane explains why only written reviews can be removed, how his team builds compliant cases, and why going “faster” isn’t worth the risk. We also explore how review averages influence conversion and CPCs, why small dips in star ratings snowball into bigger costs, and how attackers target high-LTV categories like supplements, beauty, and pet with copy-paste tactics.

You’ll learn how to spot fraud patterns such as sudden bursts of one-star reviews or repeated phrasing across accounts, and how to separate product issues from fulfillment issues so you’re measuring the right signals. Shane shares a free Amazon Review Checker that flags likely violations in your recent reviews and a new ROI calculator that models the revenue lift from removing critical reviews, so you can prioritize which ASINs to defend first. It’s a practical, white-hat playbook for cleaning up your listings, stabilizing ads, and restoring trust without shortcuts.

If you care about rank, profitability, and future retail partnerships, this conversation will change how you manage reviews. Subscribe, share with a fellow seller, and leave a rating to tell us which review tactic you want Amazon to crack down on next.

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What if someone else registered your business name tomorrow—and could prove it before you could? We dig into the uncomfortable reality that a brand isn’t truly yours until you can defend it, using the Slim Shady vs Swim Shady dust-up to explain how “fame of the mark” can stretch protection far beyond product categories. It’s a sharp reminder that trademark strategy isn’t just legal housekeeping; it’s risk management, platform access, and long-term brand equity rolled into one.

With trademark attorney Tiffany in the chair, we walk through a clean, founder-friendly playbook: research, register, and police. Research means clearing multiple naming options before you fall in love with one that can’t be protected. Registration turns your claim into third-party verifiable proof—the kind Amazon, TikTok, and ad platforms trust when you need features, takedowns, or to settle a dispute fast. Then comes policing: monitoring marketplaces, shutting down lookalikes, and stopping dilution so your mark doesn’t become a free-for-all as your product gains traction.

We also talk about the messy parts—why rebrands feel embarrassing yet can be powerful customer touchpoints, why distinctive made-up words often pass more easily than everyday terms, and how crowded categories like supplements and pet products raise the bar on originality. Finally, we look ahead to AI’s role in naming and clearance. While today’s tools can help brainstorm and screen, true end-to-end clearance still needs expert judgment. The upside? Pressure from AI may push the USPTO toward clearer, more consistent outcomes, reducing guesswork for founders.

If you’re gearing up for growth, don’t leave ownership to chance. Subscribe for more brand-building strategies, share this with a founder who needs to hear it, and leave a review to tell us which step—research, registration, or policing—you’re tackling next.

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Q4 doesn’t just stress your warehouse—it stress‑tests your finance. We sat down with Sourabh Nolkha to unpack why the busiest season creates both record sales and record leakage, and how to build the finance stack that keeps more of what you earn. From pre‑season prep to real‑time dashboards, we map the exact systems that let you track inventory, reconcile revenue across channels, and stop variable costs from swallowing your margins.

We start where most teams stumble: revenue visibility. Multi‑channel selling blurs the line between orders and actual cash, especially when commissions, shipping fees, returns, and settlement timing differ by channel. Sourabh breaks down the biggest blind spots—40–60% variable costs and an avoidable 3–5% revenue leakage—and explains how automated reconciliation and exception tracking recover money that would otherwise vanish. As companies scale, finance is often the first team to strain. We share practical signals your close is slipping, why “revenue minus cost ≠ cash” is a red flag, and how to fix it with better data flows and targeted automation.

Then we get tactical with AI. Clean, contextual data is the prerequisite; once that’s in place, AI can spot anomalies, trigger alerts on return spikes, and answer high‑value questions like last‑seven‑day profitability by category. Saurabh opens the hood on Zen Statement’s AI stack: intelligent data capture when APIs are missing, self‑serve reconciliation to link new sources, conversational analytics for decision speed, and the next frontier—a dispute management agent that turns detection into recovery. Finally, we reframe forecasting. Demand prediction is only half the story; true cash forecasting bakes in cost structures and payout schedules by channel so you can plan inventory, marketing, and working capital with confidence.

If you want Q4 to fund your growth rather than drain your bank account, this conversation gives you the blueprint: unify your data, model your costs, monitor in real time, and let AI guard your margins. Enjoyed the episode? Follow, share with a fellow operator, and leave a quick review to help others find the show.

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Think you know what your customer is thinking? We put that belief to the test with consumer behavior specialist Peter Paul Mann, who shows how smarter research uncovers the real motivations behind clicks and conversions. We dig into the practical differences between launch prep and optimizing an existing listing, why some A/B tests quietly mislead, and how to frame polls that surface true buying triggers instead of defaulting to “more for money.”

We walk through a simple system for crafting a sales story that stops the scroll: lead with the problem that matters, hook fast, explain why it’s for the shopper, and land a clear differentiator. Peter Paul explains how to turn review themes and pain points into testable concepts, why isolating creative variables beats chasing tool trends, and how a famous “six‑in‑one” shower rod example proves that versatility claims can distract from what buyers actually value. You’ll hear how to target the right respondents, design realistic scenarios, and simulate safely before making changes that could risk revenue.

We also explore white‑glove research support, segmented product sample videos that reveal tactile truths, and a pricing approach using the Gabor Granger method to map demand drop‑offs and price elasticity. Finally, we unpack a new SQP sales dashboard connected to Amazon’s API that highlights share of clicks versus share of conversions by keyword and models the ROI of small conversion lifts. The takeaway is crisp: ask better questions, test with context, and let real consumer insight guide your creative, pricing, and roadmap.

If this helped you think differently about research and optimization, follow the show, share it with a colleague who needs better data, and leave a quick review to tell us the one change you’ll test this week.

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