STUMP BEZOS

Amazon delivered 13 billion packages the same or next day around the world in 2025. How many of those were in the USA?

[ Answer at bottom of email ]

👀 HOW to EXTRACT ALL AMAZON REVIEWS

The #1 question at the recent BDSS 13 Virtual was “How do I extract all my reviews (or a competitor’s) now that Helium 10 and other tools have removed that option at Amazon’s request?”

Tools like Voc.ai and Seller Sprite still do it, but Ecom Mastery AI Nashville speaker Jo Lambadjieva recently shared a better way in her AI for Ecom newsletter.

The Solution: Apify

Apify is a marketplace of specialized data scrapers built by developers. Unlike all-in-one tools, you get dedicated "actors" for specific tasks, including Amazon review extraction.

Step 1: Use the Tool

  • Go to apify.com

  • Search "Amazon Reviews Scraper"

  • Multiple options available, choose one with good reviews

Step 2: Configure Your Extraction

Essential Settings:

  • ASIN: Your product's 10-character ASIN

  • Domain: "com" (US), "co.uk" (UK), etc.

  • Sort By: "recent" for trends, "helpful" for top reviews

  • Max Pages: Start with 1 page (~10 reviews) for testing

Smart Filters:

  • Star Rating: Pull only 1-star (complaints) or 5-star (testimonials)

  • Keywords: Search for specific terms like "durable" or "broke"

  • Verified Only: Filter for verified purchases

Step 3: Run It

  • Configure options(256mb memory, 43,200 sec timeout, unlimited)

  • Click "Start"

  • Monitor real-time: reviews extracted, cost, progress

  • Can pause/stop anytime

Step 4: Export Data

Download as:

  • JSON → for AI tools

  • CSV → for Excel/Sheets

  • Excel → direct import

Each review includes: title, text, rating, date, verified status, media URLs

Step 5: Generate Insights with AI

Upload to Claude/ChatGPT with this prompt to generate a FAQ:

"Analyze these Amazon reviews and identify the 6-10 most frequently asked questions buyers have. For each: extract the concern, phrase as a natural question, note frequency, and identify buyer journey stage. Focus on: product fit, value, alternatives, compatibility, ease of use."

Cost Management Tips

Start small: Test with 1 page before scaling
Use filters: Star ratings + keywords = lower costs
Schedule regular small runs vs. one massive scrape
Save configurations for repeat extractions
Double-check ASINs before running (bad codes waste credits)

When Amazon blocks your review tools, Apify's specialized scrapers keep your competitive research running, and AI transforms that data into buyer intelligence.

Nano Banana Pro for Amazon Sellers Guide

Google’s new AI image model is getting scary good - but only if you know how to “talk” to it right.

Chris Rawlings of Sophie Society put together a step-by-step guide to Nano Banana Pro showing how to turn a simple phone photo into studio-quality Amazon listing images in minutes.

No wrecking your product proportions or ending up with photos that scream “made by AI”.

In the guide you’ll discover how to:

  • Create a clean main image (perfect lighting + background removal)

  • Build lifestyle images that actually increase clicks and conversions

  • Follow the exact workflow our team uses for 800+ brands

    Get the Nano Banana Pro guide now.

🔭 YOU GOTTA SEE THIS

BDSS Dream 100 member Adam Heist hasn't been able to stop thinking about this.

You know that feeling when you realize you've been doing something wrong for years? Not like, a little wrong. Like, fundamentally wrong. Like you've been playing poker and someone finally tells you that everyone else at the table has been able to see your cards the whole time.

Amazon has been sitting on everything. The actual reasons people return products, and not the generic dropdown bullshit, the real reasons. The searches that get typed in and go nowhere because nobody's made the thing yet. The questions people ask right before they decide to buy or bounce. Demographics. Sentiment. The whole picture.

And we've been out here scraping reviews and running Helium 10 searches like that's the game.

It's not the game. It never was.

Adam found where they hide it. He built a way to capture it all with one click.

Then he built AI that turns it into a playbook: product ideas, image strategy, listings that actually speak to what people want.

He put it all in a video. And he’s giving away everything. The extension. The AI skills. All of it. Watch the video for the SOP and to get access.

He’s not launching a course. No paid community. Just ... here's the thing he built, and he hopes it helps ...

🌎 INTERESTING STATS

🎮 GAMING ADS vs SOCIAL ADS: ATTENTION ARBITRAGE

The numbers tell a familiar story: social media still commands 35.8% of all mobile usage. But here's what the surface metrics don't show: the quality of that attention is deteriorating fast.

While most DTC brands are locked in bidding wars for Instagram and TikTok placements, a massive shift is happening underneath: mobile gaming hit 47 billion downloads in 2025, and for Gen Z specifically, gaming now beats TV and streaming in weekly hours (12.2 vs 11.8).

The real opportunity isn't where people spend time. It's where they spend attention.

The Psychology Gap: Doomscroll vs. Flow State

Social Media Mindset:

  • Users are killing time, not investing it

  • Average engagement: 1.5 seconds before scroll

  • Mental state: anxious, defensive, ad-blind

  • Your ad is an interruption they're trained to ignore

Gaming Mindset:

  • Users are in active flow state with clear objectives

  • Mental state: focused, achievement-oriented, engaged

  • Your ad can become a transaction, not a tax

Here's the unlock: In gaming, a 15-second ad isn't something users tolerate, it's something they choose in exchange for power-ups, extra lives, or boosts. You're not interrupting their experience; you're enabling their win.

When you help someone achieve their goal, the psychological barrier to purchase drops. You shift from annoyance to utility.

The Arbitrage Window Is Open

While CPMs on Meta and TikTok continue climbing as competition intensifies, mobile gaming offers access to one of the world's largest ad inventory pools that most ecom brands haven't touched yet.

Translation: massive supply, thin competition, and users who are actually paying attention.

Probably the most popular platform to reach gamers is AppLovin.

5 Tactics to Win in Gaming Ads

1. Link Your CTA to the Game Reward Don't just blast your product. Align it with what they're doing. Example: "Need a boost IRL? Here's 20% off while you wait for your next life."

2. Go Longer 81% of gaming ad spend goes to ads 31+ seconds. Users in flow state aren't scrolling, they're settled in. Use that time.

3. Hook in 5 Seconds Many gaming ads are unskippable for 7 seconds. Your brand and problem statement must land in the first 5, or you've lost them.

4. Rotate Creative Weekly Ad blindness hits faster in gaming environments. Run 3-5 creative variations and swap them weekly.

5. Test Playable Elements Interactive ads (swipe to reveal, choose your bundle) hold attention longer than static video, and you don't need a dev team to build them.

Social platforms gave ecom brands unprecedented scale. But as competition saturates the feed and attention quality declines, the next wave of growth will come from going where attention is underpriced and engagement is real.

Gaming ads aren't a replacement for social, they're the arbitrage opportunity while everyone else is still fighting for feed space.

The brands testing this channel now are buying undivided attention at pre-2018 social prices.

That window won't stay open forever.

🛠️ BDSN SOFTWARE TOOL of the DAY 🛠️

Smart Scout is one of the sponsors of Ecom Mastery Ai featuring BDSS this April 8-12 in Nashville, TN.

They just released a new feature called the AI Scorecard that figures out how well you're answering the 15 questions that Amazon COSMO is trying to understand about your product. 

The audit scores both your written content and images to identify gaps in how you answer shopper intent.

They also have an AI Visibility Monitor that tracks your visibility on ChatGPT to see ifif you're making any progress.

🖥️ THE AI LIE in MOST AMAZON TOOLS

According to Paul Harvey in his Rankster newsletter, Hai Mag (CEO of EVA AI, 25+ years in enterprise tech, former Oracle VP) recently made a striking observation:

99% of what's marketed as "AI" in the Amazon ecosystem is actually just rule-based automation.

Here's what that really means:

Most "AI-powered" tools operate like this:

  • If ACOS increases 1% → reduce bid by 2%

That's not artificial intelligence. That's a conditional statement. It’s an if-then rule that could be written in basic programming.

Why Everyone's Calling It AI

Every agency and tool now claims:

  • "AI-powered optimization!"

  • "AI-driven insights!"

  • "Powered by AI!"

But as Harvey highlights through Hai's expertise, there's a fundamental difference between rule-based automation and true AI.


Why This Distinction Actually Matters

Real AI learns patterns, adapts dynamically, and identifies insights humans miss.

Harvey shares Hai's example: When your competitor goes out of stock, your sales spike and ACOS drops. A rule-based system interprets this as peak performance and doubles down.

But you're not actually performing better, you're just temporarily the only option available.

True AI considers broader context: competitor inventory levels, market share fluctuations, seasonality patterns, and more. It distinguishes between genuine optimization and circumstantial advantages.

That's the gap between automation and intelligence. One follows predetermined rules. The other actually analyzes and adapts.

Caveat Emptor.

🥃 PARTING SHOT

"Timing, perseverance, and ten years of trying will eventually make you look like an overnight success."

✌🏼 Have a great weekend.

See you again on Monday.

The answer to today’s STUMP BEZOS is
Amazon delivered 8 billion same or next day in USA in 2025.

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