

STUMP BEZOS
Buyers typically IGNORE 83% of reviews older than how many months?
[ Answer at bottom of email ]

💰 STARTS TOMORROW: BDSS 13 VIRTUAL - YOU JOINING?
Over 2½ days starting tomorrow afternoon through Thursday, smart sellers will be attending BDSS 13 Virtual LIVE to get a competitive edge on their competition.
Two ways to join us:
1. Grab your ticket at the official website for a LIVE or LIVE+replay pass
2. Join the Billion Dollar Sellers Club for $9 and get a $497 credit for a LIVE ticket

Entrance to previous BDSS Virtual event
Hosted and curated by Kevin King, it is the premier online event in the Amazon selling space. There is nothing else like it - in format, in content or in networking.
Here’s a small partial list of what you’ll miss if you don’t:
Build Amazon product images with Nano Banana Pro, start to finish: go from product analysis to a complete listing image set, main image, lifestyle scenes, infographics, plus gift concepts, using a simple 3-prompt workflow you can copy.
Unlock $300 in AI Studio credits and actually use them: get set up fast, avoid the common “wasted credits” mistakes, and leave with a repeatable creation pipeline.
Create your agentic team in one session: walk away with 5 to 7 custom GPTs and Gems that operate like specialists across your eCom business, plus the blueprint to build your own.
Rufus Blueprint Part 2: what’s really happening with agentic commerce, and how to position your products to be the recommendation that wins when AI does the shopping.
The 2026 launch playbook that protects profit: the few levers that matter most now, including how to raise CTR to lift your conversion ceiling and validate “clickability” before you buy inventory.
Don’t waste your honeymoon phase: a pre-Day-1 checklist and a 7/30/60/90-day bucket plan to maximize ranking, velocity, and compounding sales momentum.
The “social flood” formula: the exact first-month influencer cadence and TikTok/Instagram volume that creates real traction, fast, without guessing.
List-building without relying on Amazon: build a branded “utility app” in an afternoon that works like a lead magnet, then gate results behind email capture to grow owned audiences.
The AI 3D Ad Factory: produce high-end 3D video ads with hooks engineered to convert, using a proven script framework that feels natural, not salesy.
Smarter video scripts that print money: the 5 inputs that reliably improve ad angles and messaging, using your bullets, search terms, business reports, reviews, and Product Opportunity Explorer.
Stop bleeding margin and scale what’s profitable: expose the five silent profit leaks, understand why totals lie, and make cleaner decisions on SKUs, ads, inventory, and ops with confidence.
And 40+ more topics too long to list here
Just one of these strategies can 10-100X or more your investment.


🌎 INTERESTING STATS


🗣️ CHATGPT ADS are HERE for ECOM SELLERS
OpenAI dropped a bombshell Friday afternoon: ChatGPT will start showing ads within the next few weeks. For the first time, the world's most popular AI chatbot is opening its doors to advertisers, and this changes everything for e-commerce sellers.
What's Happening
ChatGPT is introducing ads to its free and $8/month "Go" tier users in the U.S. The ads will appear at the bottom of responses, clearly labeled as "Sponsored." If you're paying for Plus ($20/month) or Pro ($200/month), you won't see ads.
OpenAI swears ads won't influence ChatGPT's answers. Responses will still be "objectively useful," not advertiser-driven. Conversation data won't be sold to advertisers, though ads will be personalized based on your chats (you can opt out).
How This Works for E-Commerce
OpenAI revealed two ad formats that should make every seller pay attention:
Shopping/Grocery Example: A user asks ChatGPT about authentic Mexican food ideas for a dinner party. ChatGPT responds with suggestions, then shows a sponsored product carousel at the bottom, with for example, "Ember Co. Hot Sauce" available at a nearby grocery store with 25-35 minute delivery.
Sound familiar? It looks almost identical to Instacart ads, which makes sense since OpenAI's new CEO used to run Instacart.

1. A New Discovery Channel Is Opening ChatGPT has massive reach, and users are having product discovery conversations right now. Soon, you'll be able to show your products when those conversations happen. OpenAI specifically mentioned this will help "small businesses and emerging brands trying to compete" by "leveling the playing field."
2. Product Carousels in Chat The examples OpenAI demonstrated show horizontal scrolling product cards, similar to what you're used to on Amazon or Google Shopping. This is familiar territory, but in a conversational context where users are actively seeking solutions.
3. Conversational Commerce The ability for shoppers to ask questions directly about your ad or chat with your business through ChatGPT is revolutionary. This isn't a static link, it's an interactive buying experience powered by AI.
4. Answer Engine Optimization Just Got More Important I've been talking about AEO (Answer Engine Optimization) for a while. Now there's a direct monetization path. If ChatGPT is recommending products in organic answers AND showing ads, you need to be thinking about both.
OpenAI burned through massive cash (projected $115 billion by 2030) and committed to $1.4+ trillion in infrastructure spending. Two years ago, Sam Altman called ads a "last resort." Now, with $20 billion in revenue against trillion-dollar commitments, ads aren't optional, they're necessary.
The sellers who figure out how to show up in AI-driven conversations, both organically and through ads, will have a massive advantage. The ones who ignore this will wonder where their traffic went.

🛠️ BDSN SOFTWARE TOOL of the DAY 🛠️
The Ultimate One-Shot Amazon Competitive Intelligence Prompt
This battle-tested prompt structure from BDSS Dream 100 Member Steve Simonson combines proven methodologies from elite Amazon seller resources (SellerPrompts, BellaVix, advanced analytics frameworks) to deliver comprehensive competitive intelligence in a single AI interaction.
Designed for ChatGPT, Claude, or Grok, it leverages chain-of-thought reasoning to produce actionable insights across all critical competitive dimensions.
Courtesy of Catalyst88:
"You are an expert Amazon e-commerce consultant with 10+ years of experience in competitive analysis, product optimization, and market research.
I am an Amazon seller looking to launch or improve my product: [BRIEF DESCRIPTION OF YOUR PRODUCT, e.g., 'a wireless Bluetooth earbuds with noise cancellation'].
The main keyword is [MAIN KEYWORD, e.g., 'wireless earbuds'], and it's in the [NICHE/CATEGORY, e.g., 'electronics/audio accessories'].Perform a deep competitive analysis to help me dominate this niche.
Use your knowledge of Amazon's ecosystem, best practices, and logical deduction to simulate research (or reference real examples if possible).
Structure your response as a professional report with sections, tables where helpful, and actionable insights. Follow these steps precisely:
Identify Top Competitors: List the top 5-7 competitors in this niche based on relevance to the keyword, sales rank, review count, and pricing.
For each, provide: ASIN, product title, current price, BSR (Best Sellers Rank) estimate, and monthly sales volume estimate (use formulas like: if BSR <1,000 in electronics, ~1,000-5,000 units/month).
Listing Analysis: For each top competitor, break down their product listing:
Title: Strengths/weaknesses in SEO, length, and appeal.
Bullet points: Key features, benefits, and any missed opportunities.
Images and A+ Content: Describe quality, angles, infographics, and how they drive conversions.
Backend keywords (inferred): Likely hidden terms based on visible content.
Keyword Research: Extract and analyze 20-30 high-impact keywords from competitors' listings. Include:
Primary keywords (high volume, e.g., exact match to main keyword).
Long-tail keywords (lower competition).
Estimated search volume and competition level (high/medium/low).
Recommendations for my listing: 5 optimized titles and 7 bullet points incorporating these.
Review Mining: Summarize reviews across competitors (focus on 1-3 star and 4-5 star patterns):
Common positives (e.g., grouped by themes like durability, value).
Common negatives/complaints (e.g., battery life issues).
Sentiment score estimate (e.g., 80% positive).
Opportunities: Turn negatives into my product's strengths (e.g., 'Address poor fit by emphasizing ergonomic design').
Pricing and Sales Strategy:
Compare pricing trends (average, highs/lows, promotions).
Estimate competitors' profit margins (assume 30-50% based on category).
Ad strategy inference: Likely PPC bids, sponsored placements, and how they're winning visibility.
My pricing recommendation: Optimal launch price and dynamic strategy.
Market Opportunities and Risks:
Gaps in the market (e.g., underserved features like eco-friendly materials).
Trends (e.g., rising demand for sustainable products in this niche).
Risks (e.g., seasonal dips, IP issues).
Differentiation ideas: 3-5 unique selling points for my product.
Actionable Recommendations: Provide a step-by-step plan for me to outperform them, including listing optimizations, PPC tips, product tweaks, and timeline (e.g., Week 1: Revise bullets).
Back up insights with data-driven reasoning, use tables for comparisons (e.g., competitor matrix), and aim for hyper-detailed, realistic analysis. If data is limited, note assumptions and suggest tools like Helium 10 or Jungle Scout for validation."
🚀 FEATURES TELL –> BENEFITS SELL
George Meressa at ClearAds.com says no one cares that your product is made from 100% Turkish cotton. They care that it keeps their baby safe, soft, and close.
That's the difference between a feature and a benefit. Understanding this distinction is the key to writing Amazon listings that actually convert.
Most sellers list features: what the product has. But shoppers buy benefits: what those features do for them.
Step 1: List Your Product's Features
Write down the technical specs, materials, and attributes of your product.
Example (Baby Sling):
100% Turkish cotton
Adjustable metal ring
Machine washable
Lightweight design

Step 2: Ask "So What?"
For each feature, ask yourself: Why does this matter to my customer? What problem does it solve? What feeling does it create?
Step 3: Rewrite Features as Benefits
Translate the what into the why it matters.
Before (Feature-Focused):
"Made from 100% Turkish cotton"
"Adjustable metal ring"
"Machine washable"
"Lightweight design"
After (Benefit-Focused):
"Soft, breathable fabric that keeps your baby cool and comfortable all day"
"Easily adjusts for perfect comfort—even as your baby grows"
"Toss it in the wash after messy days—stays soft and strong"
"Carry your baby for hours without shoulder strain"
Step 4: Lead with the Benefit, Then Support with the Feature
Structure your bullet points to put the outcome first, then back it up with the detail.
Example: "Stay comfortable all day long — our lightweight design means no shoulder strain, even during long outings."
The bottom line: Stop describing what your product is. Start showing what it does for people. That's how you earn more clicks, build more trust, and drive more sales.

Reach page 1 on Amazon simply by sending free products to Micro-Influencers
Use the platform Stack Influence to automate Micro-Influencer product seeding collaborations at scale (get thousands of collabs per month) and increase your Amazon ranking, generate UGC, and boost up your recurring revenue like never before.
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Don't believe it? Check out the results from the Blueland Micro Influencer campaign which generated a 13X ROI scaling up influencers on Amazon.
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Increase your Amazon listings ranking for targeted keywords and multiply your organic recurring revenue in 2026!
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💊 AMAZON’S QUIET RETURN TO GOOGLE SHOPPING ADS
Amazon famously pulled the plug on its massive Google Shopping ad spend in July 2025, disappearing from one of its biggest advertising channels worldwide.
While ads resumed in most international markets after 30 days, the US remained dark, fueling speculation about marketing tests, trade policy concerns, or AI strategy shifts.
But Amazon never fully left.
Recent auction data reveals Amazon has been quietly advertising on Google Shopping in the US since at least October, staying just below Google's 10% impression share reporting threshold. The company that once dominated with 60-70% impression share reduced itself to a "trace amount," present but nearly invisible.

The Real Story: Amazon Pharmacy's Push
Here's what's particularly revealing: these rare Amazon Shopping ads appear almost exclusively in the health and beauty category.
This timing aligns perfectly with Amazon's aggressive pharmacy expansion plans. The company expected to offer same-day prescription delivery to more than half the US by the end of 2025, and these targeted ads appear designed to support that growth initiative.
What This Means for Other Advertisers
The good news for most US sellers: Amazon remains largely absent from Google Shopping across other product categories, leaving significant opportunity. Tinuiti reported 17% year-over-year US Shopping click growth in Q4, benefiting from Amazon's reduced presence.
The 900-pound gorilla may not be coming back for most categories, but in health and beauty, Amazon is making a calculated exception to fuel its pharmacy ambitions.

🔥 MORE HOT PICKS 🔥
🥃 PARTING SHOT
“The people you spend time with determines who you become. Love your family, choose your peers. Never waste an opportunity to tell someone you love them.”
✌🏼 See you at BDSS 13 Virtual this week …
The answer to today’s STUMP BEZOS is
Buyers ignore 83% of reviews older than 3 months.



