Daniela from Mindful Goods joins the podcast to explore how New York State’s new AI image regulations are impacting Amazon sellers and forcing brands to adopt greater creative transparency. As consumer sensitivity to "AI slop" grows, brands are encountering false negatives where overly polished human photography is mistaken for AI, making human split-testing and data-driven creative execution essential.

While nimble solo founders leverage one-click AI tools for quick design wins, established 7-to-9-figure brands are using AI strategically to scale catalog design templates across thousands of SKUs and bridge visual gaps in costly photoshoots.

To maximize conversion and overcome these creative challenges, Daniela outlines the importance of single-message visual hierarchy and leveraging internal databases to pre-test Main Images and A+ Content before launching.

Episode Notes:

00:00 - Introduction to Daniela and Mindful Goods

01:02 - New York State AI Regulations & Amazon Disclaimers

03:18 - Compliance Fines & The Shift Toward Creative Transparency

04:49 - How AI Raised the Creative Baseline for Entry-Level Sellers

06:34 - Consumer Sensitivity & "Over-Perfection" False Negatives

09:06 - How Enterprise Brands Strategically Use AI vs. Solo Founders

11:59 - Scaling Massive SKU Catalogs from Months Down to Minutes

13:38 - Leveraging 1,000+ PickFu Split Tests for Creative Strategy

17:38 - Live Amazon Listing Audit: Buzzed Honey & Premium A+ Content

22:55 - The #2 Factor in Amazon Conversion

26:45 - Daniela’s Design Proof Substack & Free Split-Testing Playbooks

Related Post: AI Visibility for Amazon Products: Are ChatGPT and Rufus Recommending You?

How to Reach Daniela:

Substack: Design Proof

Website: mindfulgoods.co

LinkedIn: linkedin.com/in/dbolzmann

Scott’s Links:

LinkedIn: linkedin.com/in/scott-needham-a8b39813

X: @itsScottNeedham

Instagram: @smartestseller

YouTube: www.youtube.com/@smartestamazonseller2371

Newsletter: https://www.smartscout.com/newsletter-sign-up

Blog: https://www.smartscout.com/blog

TikTok Shop does far more than generate in-app sales; it can also drive millions of impressions that boost revenue across Amazon, D2C, and physical retail. This social exposure creates real pricing power.

SmartScout’s alum Michael White leveraged TikTok traction to sell his product for $65, while competitors remained stuck at $45.

The data proves this spillover effect. Every million TikTok views can generate $16,000+ in off-platform Amazon revenue, with some brands earning up to $6.70 elsewhere for every dollar made on TikTok.

This halo effect breaks down into three buckets:

Direct (in-app sales)
Indirect (immediate off-platform purchases)
Untraceable (long-term brand awareness and word-of-mouth).

Even major retailers such as Walmart now actively ask suppliers for their TikTok strategy because social buzz directly drives store foot traffic. Ultimately, winning brands are comfortable breaking even on TikTok Shop knowing the real margin expansion will show up on their Amazon and retail balance sheets.

Episode Notes:

00:09 - The TikTok Shop Halo Effect

00:45 - The Power of Impressions

01:01 - Anecdotes from the Frontlines

02:05 - Measurable Data Points and Studies

04:13 - Categories of the Halo Effect

05:45  - The Walmart Perspective and Offline Retail Impact

06:12 - Strategic Losses and the Flywheel Effect

07:20 - Tools, Feedback, and the Road Ahead

Related Post:
Amazon Brands with Successful TikTok Shop Grow 5.2x faster

Scott’s Links:

LinkedIn: linkedin.com/in/scott-needham-a8b39813
X: @itsScottNeedham
Instagram: @smartestseller
YouTube: www.youtube.com/@smartestamazonseller2371
Newsletter: https://www.smartscout.com/newsletter-sign-up
Blog: https://www.smartscout.com/blog

SmartScout is expanding beyond Amazon with new TikTok Shop data after six months of research and development. The new tools track TikTok Shop trends, top products, estimated sales, market share, categories, sellers, and product variants.

Scott explains why TikTok Shop reminds him of Amazon 10 years ago and why social commerce is creating new opportunities for brands.

The data also reveals major differences between Amazon and TikTok Shop. Brands that dominate Amazon aren't always the biggest TikTok Shop sellers, while newer brands can quickly rise through creators and social content. SmartScout has also connected TikTok Shop products to Amazon categories, allowing sellers to compare marketplace performance and drill down into specific products and variants.

Scott also shares his biggest surprises, including the strength of women's apparel, the number of Chinese sellers, and how aggressively some established brands are embracing TikTok Shop. He then explores whether TikTok Shop could eventually compete with Amazon, how creators and GMV Max create a content-to-commerce flywheel, and why connecting TikTok Shop and Amazon data matters.

Episode Notes:

01:40 - From Amazon to TikTok Shop

02:30 - The Evolution of Social Commerce and TikTok Shop

03:05 - Building Tools for Market Intelligence

03:45 - TikTok Shop vs. Amazon

04:30 - New Feature Launches for TikTok Shop Analysis

05:00 - Surprises and Key Learnings from the TikTok Shop Seller Map

06:30 - Pioneering Amazon-TikTok Shop Connections

08:40 - Launch Incentives and Community Feedback

09:19 - TikTok Shop’s Unique Brand Landscape

11:35 - Will TikTok Shop Beat Amazon?

13:30 - The Need for a TikTok Shop-Focused Conference

16:00 - What Sets TikTok Shop Apart?

18:20 - Future Directions and Feedback Invitation

Related Post:

Amazon Accelerate Coupon Code: Save $50 With SmartScout

Scott’s Links:

LinkedIn: linkedin.com/in/scott-needham-a8b39813
X: @itsScottNeedham
Instagram: @smartestseller
YouTube: www.youtube.com/@smartestamazonseller2371
Newsletter: https://www.smartscout.com/newsletter-sign-up
Blog: https://www.smartscout.com/blog

Scott sits with Christian, founder of Autopilot, about his extensive study on Amazon's AI shopping assistant (Alexa / Rufus) and how generative recommendations are fundamentally changing how products get discovered on and off Amazon.

Christian explains that AI-driven shopping isn't just a replica of traditional search results, it also represents a distinct "third shelf" alongside organic search and paid advertising.

Through a study analyzing over 110,000 search listings and 13,000+ Alexa recommendations, Christian discovered that 64% of Alexa's suggestions actually fall outside the top 10 organic search results.

While top organic spots hold an advantage for the primary recommendation, deeper AI suggestions heavily favor long-tail products backed by strong star ratings (4+ stars), high sales velocity, and concise titles optimized for AI truncation.

Furthermore, running PPC ads offers only a tiny chance of forcing an AI recommendation if the listing lacks strong underlying signals.

The big takeaway is that AI discoverability operates as a holistic 360-degree ecosystem. Off-Amazon content on target sites, D2C stores, and deal forums heavily feeds engines like ChatGPT and Google AI.

To win in the long run, brands must optimize their data infrastructure and create "agent-friendly" D2C content that AI bots can crawl, validate, and convert into citations and recommendations.

Episode Notes:

00:00 – Christian’s background

01:30 – How analyzing 15,000+ brands led to founding Autopilot

03:00 – Amazon unifying Rufus and Alexa under one shopping brand

04:30 – Why AI recommendation is Amazon's "third shelf"

06:00 – Methodology behind the 13,000+ Alexa recommendation study

07:30 – Alexa picks

09:30 – PPC reality check

11:00 – Category variations: Apparel vs. Health & Supplements

12:30 – What signals drive AI picks (ratings, sales velocity, title length)

14:30 – ChatGPT & Google Shopping

17:00 – Optimizing off-Amazon content for AI crawlers

19:00 – Tracking AI visibility using tools like Gumshoe, Peek, and Profound

21:00 – The scale of AI shopping: Over 100 million daily product searches

22:30 – How to connect with Christian and access the study report

Related Post:

Amazon Accelerate Coupon Code: Save $50 With SmartScout

How to Reach Christian:

Website: autopilotbrand.com

LinkedIn: linkedin.com/in/umbach

Scott’s Links:

LinkedIn: linkedin.com/in/scott-needham-a8b39813
X: @itsScottNeedham
Instagram: @smartestseller
YouTube: www.youtube.com/@smartestamazonseller2371
Newsletter: https://www.smartscout.com/newsletter-sign-up
Blog: https://www.smartscout.com/blog

Scott talks with Michael from Social Motion and Video Science about why sellers need to manage video the same way they manage keywords, bids, and listings: with testing, data, and a clear performance goal.

Michael explains that the best Amazon videos start with search intent. A shopper looking for an “air purifier” may care about pets, allergies, bedrooms, or odor, and each use case can need a different hook.

Instead of running one generic video across every keyword, sellers can build video variants around buyer intent and test which angles drive stronger clicks, CPC, ROAS, and conversions.

The big takeaway is that video can become a sales machine when it is refreshed and optimized over time. AI can make the process faster and more affordable, but the strategy still comes from research, scripting, storyboarding, testing, and knowing when to refresh winning creative before fatigue sets in.

Episode Notes

00:00 – Why Amazon Video gets ignored

01:00 – Michael’s e-commerce and video background

02:30 – Video must drive results

04:00 – The PPC creative gap

05:30 – Amazon video placements

07:00 – Search intent matters

09:00 – One video is not enough

10:30 – What can lower CPC

13:00 – Video fatigue is real

15:00 – Why sellers avoid creative

16:30 – Start with top sellers

18:00 – Build videos by intent

20:00 – Testing needs enough clicks

22:00 – Use a 12-week test window

24:00 – How AI helps

26:00 – AI is not the strategy

28:00 – Refresh winning videos

30:00 – Amazon vs. social video

32:00 – Brands still move slowly

34:00 – Performance-first creative

35:00 – How to reach Michael

Related Post:

TikTok as a Growth Channel for Amazon Brands

How to Reach Michael:

LinkedIn: linkedin.com/in/michaelarking

Website: socialmotionfilms.com

Scott’s Links:

LinkedIn: linkedin.com/in/scott-needham-a8b39813
X: @itsScottNeedham
Instagram: @smartestseller
YouTube: www.youtube.com/@smartestamazonseller2371
Newsletter: https://www.smartscout.com/newsletter-sign-up
Blog: https://www.smartscout.com/blog

Scott is with Matt Snyder, founder of Brands Excel, to discuss one of the most misunderstood transitions on Amazon: moving between Vendor Central (1P) and Seller Central (3P).

After years of third-party sellers gaining share, Amazon’s first-party retail business appears to be growing again. Matt explains how tariffs, inventory challenges, margin pressure, and operational complexity have made life harder for many mid-sized sellers, while larger brands continue capturing more market share.

The result is a marketplace where the biggest players keep getting bigger.

He details the transition from 1P to 3P, including the internal roadblocks that can prevent brands from gaining control of listings, content, and catalogs. Matt also shares how Amazon’s New Seller Success team can sometimes help brands navigate these challenges.

Scott and Matt also look at the reverse trend. These are brands moving from 3P back to 1P. In categories like grocery and consumables, Amazon may subsidize pricing and logistics in ways that make the vendor model attractive.

There is no perfect model.

As ecommerce evolves through AI, social commerce, and changing marketplace economics, brands that know when to shift strategies and navigate the messy middle will be best positioned for growth.

Episode Notes:

00:09 - Amazon retail (1P) begins gaining share again relative to 3P sellers
01:54 - Why larger brands are capturing more market share
03:12 - Pattern and the rise of large marketplace operators
04:58 - Common reasons brands consider moving from 1P to 3P
06:53 - Vendor agreements and the challenges of opening a Seller Central account
08:16 - Using Amazon leadership principles to gain internal support
10:32 - How Amazon's New Seller Success team can help transitions
12:02 - Why 1P to 3P transitions remain difficult for large brands
13:40 - Content ownership, listing control, and vendor contribution issues
14:54 - The emerging trend of 3P brands moving to 1P
16:12 - Categories where the vendor model can still outperform 3P
17:20 - Amazon Fresh, grocery expansion, and basket-building products
18:48 - Pricing subsidies and how Amazon protects customer loyalty
20:16 - The trade-offs between different Amazon business models
22:14 - Looking ahead: AI, social commerce, and future marketplace shifts
24:12 - AI agents and the next wave of ecommerce complexity
24:55 - Building a collaborative Amazon seller community

Related Post:

How to Use Amazon Ad Data to Find New Product Opportunities

How to Reach Matt:

LinkedIn: linkedin.com/in/matthew-snyder-amazon

Website: https://www.brandsexcel.com/

Scott’s Links:

LinkedIn: linkedin.com/in/scott-needham-a8b39813
X: @itsScottNeedham
Instagram: @smartestseller
YouTube: www.youtube.com/@smartestamazonseller2371
Newsletter: https://www.smartscout.com/newsletter-sign-up
Blog: https://www.smartscout.com/blog

Lauren Livak Gilbert, lead of the Digital Shelf Institute, joins the podcast to explore how agentic commerce and AI tools like Amazon’s Rufus are transforming product discovery.

As the industry shifts from traditional SEO keyword stuffing to natural language and Answer Engine Optimization (AEO), sellers must optimize their Product Detail Pages by directly answering consumer Q&As to feed context-driven AI recommendations.

Currently, nimble challenger brands are capturing market share by adapting quickly and building off-site trust signals, while large legacy brands are often bogged down by massive SKU counts, messy data taxonomy, and regulatory hurdles.

To overcome these challenges and safely scale AI content generation, Lauren emphasizes the critical need for strict E-commerce hygiene and a single source of truth for product data using Product Experience Management platforms like Salsify.

Episode Notes:

00:00 - Introduction to Lauren Gilbert and the Digital Shelf Institute (DSI)

01:48 - Defining the "Digital Shelf" and the Data Explosion

03:51 - What is Agentic Commerce?

08:12 - Amazon Rufus, Natural Language, & Answer Engine Optimization (AEO)

14:16 - Why Challenger Brands are Winning Market Share

18:01 - The Core Data and Taxonomy Problem for Large Brands

21:40 - Solving Content Chaos and Workflows with Salsify

24:42 - Legal, Compliance, and the Importance of Trust Signals

28:08 - How to Join the Digital Shelf Institute

Related Post: How to Build a Repeatable Amazon Competitor Analysis Workflow

How to Reach Lauren:

LinkedIn: linkedin.com/in/laurenlivak

Scott’s Links:

LinkedIn: linkedin.com/in/scott-needham-a8b39813

X: @itsScottNeedham

Instagram: @smartestseller

YouTube: www.youtube.com/@smartestamazonseller2371

Newsletter: https://www.smartscout.com/newsletter-sign-up

Blog: https://www.smartscout.com/blog

Scott is with Brett Bohannon to talk about the fast-moving shift from basic AI chat tools to agent-driven Amazon workflows. They discuss Claude, OpenClaw, MCP servers, APIs, and how sellers can connect private catalog data, public marketplace data, and advertising insights into one AI-powered operating system.

Brett shares how he uses AI agents to reduce repetitive Amazon tasks, audit catalogs, connect tools like Keepa and Data Dive, and build workflow automations for ads, inventory, and listing optimization.

They also shed light on what this means for Amazon software, why unique data still matters, and how sellers can start using AI to solve specific operational problems instead of chasing every new tool.

Episode Notes:

00:09 - Intro to Brett Bohannon, Claude, and AI agents

01:40 - From custom GPTs to faster AI workflows

02:37 - Why recent AI progress feels different

02:55 - OpenClaw, AI agents, and business context

06:28 - Data Dive adapter for Claude and API data

07:18 - Three AI user levels: LLM users, builders, and MCP users

08:13 - How MCPs connect Claude with hosted or local data

09:49 - Combining Amazon tools under one AI workflow

12:33 - Using catalog data, Keepa, and niche analysis together

14:05 - Automating daily Amazon workflows

16:18 - Skill Create, GitHub, and open-source Amazon tools

17:45 - Replacing software with custom AI tools

19:31 - Maintenance tradeoffs with DIY AI workflows

20:08 - What stays valuable in Amazon software

22:57 - Talking to Amazon data inside Claude or ChatGPT

25:16 - Combining profitability, ads, and marketplace data

27:22 - Using agents to scale as a solo consultant

29:08 - Brett’s Amazon background and catalog expertise

30:34 - Catalog audits using category listing reports

31:17 - Rufus scoring and listing data quality

33:38 - Helm and layered MCP workflows

34:25 - AI agents and the future of Amazon software

Related Post: How to Sell on TikTok Shop 2026 (Guide For Beginners)

LinkedIn: https://www.linkedin.com/in/brett-bohannon-1992329/

Website: https://voartex.com/

Scott’s Links

LinkedIn: linkedin.com/in/scott-needham-a8b39813
X: @itsScottNeedham
Instagram: @smartestseller
YouTube: www.youtube.com/@smartestamazonseller2371
Newsletter: https://www.smartscout.com/newsletter-sign-up
Blog: https://www.smartscout.com/blog

Cajua and Josh have been selling on Amazon since 2017. They started with private label and also tried each of the popular models, including Retail Arbitrage, Online Arbitrage, and Wholesale Distribution.

Now they focus on being a brand-direct growth partner (aka an Accelerator) for small brands. They've generated millions in revenue for their brand partners, host the Ecom Unlimited Podcast, and help run The Wholesale Network. A community for people growing their wholesale businesses on Amazon. You can connect with them on their social platforms here.

Episode Notes:

00:09 - Meet Kaja and Josh from E Comm Unlimited

01:30 - Starting with eBay flips, YouTube, and private label

02:38 - Early private label lessons from a crowded product launch

03:20 - Finding a better opportunity with bat boxes

04:27 - Early sales, COVID inventory issues, and bootstrapping limits

05:31 - Moving into retail arbitrage

06:19 - The Goodwill book flip that proved arbitrage could work

07:16 - Shifting from arbitrage to wholesale

08:09 - Why online arbitrage was hard to scale

08:55 - How supply chain issues led to brand direct

09:56 - Why smaller brands create strong Amazon opportunities

10:16 - Using SmartScout to find overlooked brands

11:26 - Expo West and trade show opportunities

13:15 - Finding brands with clear Amazon pain points

14:40 - Common brand objections to Amazon sellers

15:42 - Building relationships at trade shows

16:46 - Why timing and follow-up matter

18:24 - Educating brands on Amazon supply chain issues

20:18 - DTC brands and Amazon confusion

21:30 - Why smaller brands may need brand-direct partners

22:06 - Why consumables remain exciting on Amazon

23:24 - Why Amazon is still growing despite seller fatigue

24:37 - The skills sellers need to win today

25:40 - Why trade shows keep sellers excited

27:04 - The Wholesale Network and brand-direct education

28:32 - Where to find E Comm Unlimited

Related Post:
Top 5 Ways to Increase Reviews on Amazon Products

Podcast:

YouTube: https://www.youtube.com/@ecom.unlimited

Instagram: https://www.instagram.com/ecomunlimited.io/

Cajua:

Twitter: https://twitter.com/CajuaRobinson

Instagram: https://www.instagram.com/cajuarobinson/

LinkedIn: https://www.linkedin.com/in/cajuarobinson/

Josh:

Twitter: https://twitter.com/Joshua_Dambman

Instagram: https://www.instagram.com/joshua_dambman

Scott’s Links:
LinkedIn: linkedin.com/in/scott-needham-a8b39813
X: @itsScottNeedham
Instagram: @smartestseller
YouTube: www.youtube.com/@smartestamazonseller2371
Newsletter: https://www.smartscout.com/newsletter-sign-up
Blog: https://www.smartscout.com/blog

In this episode, we have Mario Simonyan of ESQ Go, an attorney who brings a rare operator-first perspective to the table.

Having built and sold his own brands, Mario understands the high stakes of the Amazon ecosystem in a way most lawyers don't. He frames arbitration as the "car crash" of the business world. It is a situation most sellers hope to avoid but must understand before a crisis hits. His dual background as a former seller and a legal expert allows him to ground complex strategy in the operational realities of running a high-revenue brand.

A major takeaway is that arbitration isn't reserved exclusively for account suspensions. Many cases involve active sellers who are still trading but facing serious issues like missing inventory or frozen capital. This shifts the focus from simply keeping an account live to protecting the assets and cash flow that keep a business solvent. Because the process is long, expensive, and can take over a year to resolve, Mario positions it as a definitive last resort. It is a path to be taken only after standard appeals, executive escalations, and pre-arbitration efforts have been completely exhausted.

Looking ahead into 2026, the discussion highlights the necessity of proactive risk management as enforcement around compliance and authenticity tightens. The cost of mistakes is rising, making it vital for sellers to understand their legal pathways before they are forced to use them.

Whether through better documentation, channel diversification, or a clearer grasp of the arbitration process, preparation is the best defense. Ultimately, the sellers who treat legal strategy as a core part of their business rather than an afterthought will be the ones best positioned to survive a major dispute.

Episode Notes:

00:09 - Introduction: Amazon Suspensions and the “Afterlife”

01:00 - Why Arbitration Matters for Amazon Sellers

01:41 - Mario’s Background as an Amazon Seller Turned Lawyer

02:24 - Arbitration as the Last-Resort “Nuclear Option”

02:49 - Is Arbitration Only for Suspended Seller Accounts?

03:28 - Lost Inventory, Damaged Inventory, and Held Funds

04:06 - Scott’s Example: Missing Inventory and Monthly Storage Fees

06:23 - How the Arbitration Process Starts

06:37 - Demand Letter, AAA Filing, and Amazon’s Response

08:03 - Arbitrator Selection and Preliminary Hearing

09:55 - Discovery, Documents, and Settlement Signals

10:57 - Pre-Hearing Briefs and Zoom Arbitration Hearings

12:12 - Cross-Examination and Amazon Risk Department Witnesses

13:35 - Policy Questions Around Reselling and Inauthentic Claims

14:28 - Arbitration Timeline and Confidentiality

15:11 - What Sellers Should Do Before Arbitration

15:44 - Plan of Action, Appeals, and Escalations

16:28 - Pre-Arbitration Demand Letters

17:25 - Appealing for Fund Release Instead of Reinstatement

18:31 - Why Arbitration Often Doesn’t Make Sense Under $50K

19:39 - 2026 Trends: Resellers, Inauthentic Claims, and Marketplace Pressure

22:20 - Walmart Marketplace Growth and Seller Suspension Issues

23:41 - Walmart Account Access, Category Suspensions, and Seller Center Challenges

26:21 - Private Label Risks: Listing Suspensions, Trademark Issues, and Compliance

27:01 - Closing Thoughts on Arbitration and Seller Risk

28:41 - Final Takeaway: Staying Prepared in 2026

Related Post

10 Jungle Scout Alternatives in 2026 (Free & Paid, Tested)

How to Reach Mario:

EMAIL: [email protected]

Website: www.esqgo.com

Phone: (424) 363-6233

LinkedIn: linkedin.com/in/mario-simonyan-a26927176

Scott’s Links

LinkedIn: linkedin.com/in/scott-needham-a8b39813
X: @itsScottNeedham
Instagram: @smartestseller
YouTube: www.youtube.com/@smartestamazonseller2371
Newsletter: https://www.smartscout.com/newsletter-sign-up
Blog: https://www.smartscout.com/blog

Scott talks with Maciej Stanski, US CEO of Base.com and a former Amazon logistics operator, about what growth looks like now that Amazon is no longer the only serious game in town.

Maciej's Amazon middle-mile logistics background gives the episode an operational focus. He explains how inventory movement, consolidation, and shipping speed built Amazon’s FBA advantage, while Scott ties that to today’s reality where FBA is still powerful but harder to depend on as a single-channel strategy.

The conversation then shifts to the 2026 commerce environment. Amazon still leads, but fee pressure, cash flow friction, and rising complexity are pushing brands to look harder at Walmart, TikTok Shop, DTC, and other channels.

TikTok stands out as a real growth engine, especially for smaller brands that can earn attention instead of just outspending competitors.

The core takeaway is that multichannel success is not just about opening more storefronts. It depends on operational discipline, catalog hygiene, clean product data, and a single source of truth, especially as AI-driven discovery and contextual shopping keep evolving.

On AI, both take a balanced view. They see its value, but reject hype for hype’s sake. Their message is clear: use AI to solve real business problems, but focus first on fundamentals. Brands that get their operations in order will be better positioned to win.

Episode Notes

00:09 - Introduction: Expanding Beyond Amazon

00:58 - Insights from Amazon Logistics

03:31 - The Omnichannel Shift & Changing Marketplace Dynamics

04:45 - Pressure Points for Amazon Sellers

05:48 - TikTok Shop: Social Commerce in Action

08:14 - The Rising Complexity of Multichannel Operations

10:52 - Agentic AI and Evolving Discovery in Ecommerce

15:41 - Operational Discipline: Fundamentals Over Fads

22:24 - Who Benefits Most from Multichannel Management Software?

25:31 - Planning for Multichannel from the Start

27:09 - The Surprising Demographics of Social Commerce

28:12 - Closing Thoughts and Industry Outlook

Related Watch

“Death of the Amazon Seller”

How to Reach Maciej:

LinkedIn: linkedin.com/in/maciejstanski

Scott’s Links:

LinkedIn: linkedin.com/in/scott-needham-a8b39813

X: @itsScottNeedham

Instagram: @smartestseller

YouTube: www.youtube.com/@smartestamazonseller2371

Newsletter: https://www.smartscout.com/newsletter-sign-up

Blog: https://www.smartscout.com/blog