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Amazon Alexa Home Screen Ads DSP

The Billboard in the Kitchen: Mastering Alexa Home Screen Ads

The main thing about advertising is “Right Message, Right Time, Right Place.” For years, digital ads have performed below the average at the “Place.” We reached people on their phones, but we couldn’t reach them in their environment. With Alexa Home Screen (AHS) ads now available via Amazon DSP using Asset-Based Creative, that final barrier has fallen. You can now place your product on the digital screens that sit in millions of kitchens, living rooms, and bedrooms. What Are Alexa Home Screen Ads? These are display ads that appear on Amazon Echo Show devices. They appear as “cards” in the ambient rotation. When the user isn’t actively asking Alexa a question, the screen cycles through content: Weather, News, Sports Scores… and Your Ad. The “Asset-Based” Revolution Earlier, these ads were utilized mostly by massive brands with “Managed Service” contracts because they required complex coding. Now, Amazon has democratized access. Using Asset-Based Creative (ABC), you simply upload: Landscape Image: 1920×1080 px (High impact lifestyle). Logo: 400×400 px. Headline: 50 Characters max. Amazon’s system takes these ingredients and dynamically builds a native-looking ad for every Echo device size. Why This is a “Blue Ocean” for Sellers Lower CPMs: Because many sellers don’t know this method exists (or think it’s too hard to access), the CPMs (Cost Per Thousand Impressions) are likely lower than mobile web display. High Engagement: These ads are “Full Screen.” There is no sidebar. There are no other tabs. For the duration, you own the device. The Proximity Advantage: The average Echo Show viewer is standing within 3-6 feet of the device. This is an intimate, trusted space. But ads can be shown in both far‑field (when users are >4 ft away) and near‑field rotations (when closer). Where Big Internet Ecommerce Fits In Running ads in a living room requires a different touch than running ads on a search page. Creative “Vibe Check”: You cannot use a busy, text-heavy white background image (like a main search image). It looks like spam in a living room. We design “Native Lifestyle” assets that look like art, making the user want to look at them. Full-Funnel Integration: We don’t expect the Echo ad to drive the immediate sale (voice purchasing is still niche). We use the Echo ad to fill the “Retargeting Pool.” If they see the ad on Echo, we serve them a Sponsored Product ad on their phone 2 hours later to close the deal. Well-Timed Strategy: We can program your campaigns to show “Coffee” ads in the morning and “Wine Glass” ads in the evening, matching the rhythm of the household. The screen is open. But is your brand showing up on it? Book a 20-min session with BigInternetEcommerce.com today! Book a call to get your customized strategy roadmap today. Follow Big Internet Ecommerce (BIE) on Instagram & LinkedIn to stay updated with the latest trends in Amazon selling.

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Amazon Sponsored Display Conversion Optimization

Rethinking Sponsored Display: A New Chapter for Amazon Advertising

There is a long-standing rule in Amazon PPC: If you want sales, run Sponsored Products. If you want to waste money, run Sponsored Display “Optimize for Reach”. As of late 2025, you can officially delete that rule. Amazon has quietly rolled out a massive update to the Sponsored Display (SD) algorithm that fundamentally changes how “Reach” and “Page Visit” campaigns function. The “Old” Sponsored Display Previously, when you selected “Optimize for Reach,” Amazon’s goal was simple: Spend your budget to get your ad in front of as many eyeballs as possible. It didn’t care if those eyeballs belonged to a buyer or a browser. It just wanted the View. This created a “Vanity Metric” trap. You got 1,000,000 impressions, felt good, and made $0 in sales. The “New” Sponsored Display Amazon has updated the machine learning models. Now, even when you select “Reach” or “Page Visits,” the algorithm uses Conversion Signals to decide who sees the ad. It’s a “Best of Both Worlds” scenario: Billing Model: You still pay by the View (vCPM), which is often significantly cheaper than paying for Clicks (CPC) in competitive categories. Targeting Logic: The AI filters the audience. It says, “I can show this ad to User A or User B. User A buys running shoes. User B just reads about them. I will show it to User A.” Why is This Important This allows you to do “Performance Branding.” You can run aggressive Top-of-Funnel campaigns that build awareness without destroying your ROAS (Return on Ad Spend). You are no longer choosing between “Growth” and “Profit.” You are optimizing for both simultaneously. The Reality Check To win with this new update, you have to change how you measure success. These campaigns will NOT have a high Click-Through Rate (CTR). They are Display Ads. People see them, register the brand, and buy later via search. You must look at the “View-Through Orders” column in your reports. If you optimize for Clicks, you will kill these campaigns—and the sales they are generating. Where Big Internet Ecommerce Fits In Most agencies set these campaigns and forget them. We engineer them. The “Hybrid” Test: We run a specific experiment: The same product, same budget. One campaign optimized for “Conversions” (CPC), one optimized for “Reach” (vCPM). We analyze the blended cost per acquisition to find the sweet spot. Creative Optimization: A “Reach” ad that hunts for conversions needs different text than a generic brand ad. We design creatives that have a “Soft Call to Action” to trigger that subconscious purchase intent. Budget Efficiency: We help you allocate budget away from expensive keywords and into this new, efficient layer of the funnel that your competitors are ignoring. Don’t just reach people. Convert them. Book a 20-min session with BigInternetEcommerce.com today! Book a call to get your customized strategy roadmap today. Follow Big Internet Ecommerce (BIE) on Instagram & LinkedIn to stay updated with the latest trends in Amazon selling.

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Amazon DSP Privacy Sandbox Attribution

Tracking Ads Without Cookies: Amazon DSP & Privacy-First Attribution

In today’s evolving digital advertising landscape, traditional third-party cookies — once the backbone of cross-site tracking and attribution — are no longer the only game in town. For years, advertisers have relied on third-party cookies to connect ad interactions (like clicks and impressions) with downstream conversions like purchases. But browser vendors and regulators have pushed for better privacy protections, forcing the industry to innovate. While Google’s Privacy Sandbox initiative was originally designed to replace cookies with privacy-preserving APIs, that project has been officially discontinued as of late 2025 due to low adoption and regulatory pressure. Despite this, Amazon DSP has integrated with the remaining privacy-centric browser capabilities where available to help advertisers maintain strong measurement and attribution — especially for campaigns involving Chrome users who decline third-party cookies. This blog breaks down how Amazon DSP’s privacy-aligned measurement works, how it helps with Amazon DSP Privacy Sandbox Attribution, and what it means for your advertising strategy. Why Traditional Tracking Was Under Threat Third-party cookies have long acted as the “digital receipt” that ties a click on an ad from one site to a purchase on another. But privacy concerns and platform changes led browser vendors to re-evaluate this approach. Efforts like Google’s Privacy Sandbox aimed to provide alternatives that moved targeting and measurement logic into the browser without exposing individual user identities. However, by mid-2025 Google abandoned its plan to fully remove third-party cookies from Chrome — opting instead to retain cookies and give users choice over them — and has since sunsetted many proposed Privacy Sandbox technologies. What remains relevant for advertisers is that the industry continues to shift toward privacy-centric attribution mechanisms that don’t rely on broad third-party identifiers, and platforms are innovating to fill those gaps. The Solution: Amazon DSP’s Privacy-Aware Attribution Amazon DSP has taken steps to enhance its measurement framework by integrating with privacy-oriented browser reporting mechanisms where they are supported. This helps advertisers gain consistent visibility into campaign performance — even when users decline third-party cookies. 1) Enhanced Attribution Reporting Amazon DSP’s integration with browser-level attribution reporting allows advertisers to attribute website conversions (like purchases) back to DSP campaigns, even for users who do not accept third-party tracking. This improves campaign visibility and reduces the risk of “signal loss” where conversions go uncredited. Unlike the old cookie-based method that tied a click identifier directly to a conversion ID, these browser-mediated signals are processed in ways that protect privacy — for example, by limiting how much user-level data is exposed — while still providing useful aggregated conversion insights. The result? You can still see when a campaign drove a sale without tying that sale to a uniquely identifiable user. 2) AI-Powered Ad Relevance and Signals Amazon DSP complements this reporting with its Ad Relevance capabilities — AI tools that use consented signals and first-party data to help determine which audiences are most likely to convert. This means ad delivery and optimization can remain effective even when cookie-based identifiers are restricted. This combination — browser-mediated reporting plus intelligent signal processing — helps maintain both ad relevance and robust attribution in privacy-focused environments. How This Improves Your Attribution One concern many marketers have had is “signal loss” — when conversions occur, but they can’t be confidently traced back to campaign touchpoints because cookies aren’t available. While cookies still exist in Chrome today and browsers haven’t universally dropped them, Amazon’s measurement enhancements help fill the gaps where users opt out of cookie tracking, ensuring more consistent reporting of conversions that might otherwise look invisible in your dashboards. This doesn’t “magically recover every lost dollar” of revenue attribution, but it meaningfully improves visibility by: Capturing conversion reports directly from user agents (browsers) when possible. Reducing reliance on cookie syncing and third-party identifiers. Leveraging Amazon’s first-party audience and purchase data to enhance relevance and measurement. Where Big Internet Ecommerce Helps Your Strategy The introduction of privacy-centric attribution doesn’t eliminate complexity. Platforms differ in how they generate signals, and getting optimized measurements often requires careful configuration and analysis. Here’s how Big Internet Ecommerce helps brands make the most of Amazon DSP’s privacy-aware capabilities: 1) Ad Relevance Tuning We configure Amazon’s AI-driven Ad Relevance tools to correctly interpret new signals and account for typical conversion lag times, tailoring setups to your brand’s unique customer journeys. 2) Advanced Analytics with Amazon Marketing Cloud With Amazon Marketing Cloud (AMC), we can dive deep into your conversion data. AMC allows you to compare conversions attributed via the new privacy-aware signals versus traditional metrics, giving you clarity on where your measurement gaps may be and how they’re evolving. 3) Budget Strategy and Platform Migration Some platforms still lack advanced privacy-centric measurement integrations. We help shift media spend from “blind spots” into environments like Amazon DSP where you can maintain better visibility and control. Privacy Is Mandatory — Attribution Doesn’t Have to Be Blind The digital advertising ecosystem is changing. Third-party cookies are no longer the only path to effective attribution, but neither have they disappeared entirely. Amazon DSP’s integration with privacy-centric browser reporting mechanisms — combined with AI-powered relevance and first-party signals — helps advertisers maintain stronger measurement in this new era. Want to unlock clearer measurement and more confident ROAS insights in a privacy-first world? Book a 20-minute session with BigInternetEcommerce.com today. Book a call to get your customized strategy roadmap today. Follow Big Internet Ecommerce (BIE) on Instagram & LinkedIn to stay updated with the latest trends in Amazon selling.

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Amazon FBA Regional Launch

Amazon FBA Regional Launch: How Sellers Can Test Products Faster With Lower Risk

Launching a new product on Amazon has traditionally required nationwide inventory placement, high upfront costs, and significant financial risk. Sellers often don’t know if a product will convert until thousands of units are already sitting in fulfillment centers. Amazon’s FBA Regional Launch and Customer Journey Analytics are changing that model — allowing sellers to test products faster, cheaper, and with far more clarity. What Is Amazon FBA Regional Launch?  Amazon FBA Regional Launch allows sellers to introduce new products in a single geographic region instead of distributing inventory across the entire U.S. This means: Lower initial inventory investment Faster Prime delivery within the selected region Reduced exposure if the product underperforms According to Amazon, fast delivery significantly influences purchase decisions, but nationwide inventory placement is no longer required to test demand effectively. Why Customer Journey Analytics Matters  Customer Journey Analytics shows the exact steps shoppers take before purchasing — or abandoning — your ASIN. For example: Customers searching “low sugar protein bar” don’t convert because sugar content isn’t visible Shoppers compare your ASIN but exit due to unclear sizing or pricing This data allows sellers to make specific, conversion-driven improvements instead of guessing. How Sellers Should Use These Tools Together  The smartest Amazon sellers now follow this framework: Identify opportunities using Opportunity Explorer Launch with FBA Regional Launch to limit risk Monitor Customer Journey Analytics Optimize images, copy, pricing, and offers Scale nationally only after validation This approach protects cash flow while improving long-term profitability. How Big Internet Ecommerce Supports Sellers At BigInternetEcommerce.com, we help sellers implement Amazon’s newest tools strategically — from launch planning to conversion optimization. Learn more about our Amazon Seller Services here: Amazon Growth & Optimization Services For deeper insight into Amazon delivery speed and conversion behavior, you can also review Amazon’s fulfillment documentation. Schedule a call with Big Internet Ecommerce to learn how Regional Launch and Customer Journey Analytics can protect your next product launch and scale winners faster.

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Amazon SIPP Program Strategy 2026

From Scramble to Strategy: How Leading Sellers Are Beating the 2026 Prep Change

The countdown to January 2026 has begun. With Amazon discontinuing in-house FBA Prep services, the vast majority of sellers are scrambling to find Third-Party Logistics (3PL) providers to handle their labeling and bagging. They are trading one cost for another. But the top 1% of sellers are doing something different. They are reducing most of the need for prep. Because they are moving to SIPP (Ships in Product Packaging). What is SIPP? SIPP is the evolution of Amazon’s “Frustration-Free Packaging.” It verifies that your product’s packaging is durable enough to survive the brutal journey through the fulfillment network without an Amazon box (overbox) to protect it. Why SIPP is the Only Logical Response to 2026 The 2026 policy change is all about labor reduction. Amazon doesn’t want to pay humans to bubble wrap your vase. SIPP aligns your incentives with Amazon’s. You save money: Amazon gives you a discount on FBA fees (depends on product) because you save them the cost of a box. You save time: Your inventory checks in faster because it doesn’t need to be routed to a “Prep Line.” You ignore the ban: Since your product doesn’t need prep, the discontinuation of prep services is irrelevant to you. The Certification Hurdle: ISTA-6 You cannot simply “opt in” to SIPP. You must earn it. Your packaging must pass the ISTA-6 Amazon Drop Test. This involves: Drop Testing: 17 free-fall drops from varying heights. Vibration Testing: Simulated truck transit vibration. Leak Testing: (For liquids) Ensuring the seal holds under pressure. The “Self-Test” Opportunity Here is the good news: For non-fragile items (like shoes, apparel, simple home goods), Amazon allows Self-Testing. You don’t need an expensive lab. You need a camera, a tape measure, and a concrete floor. You perform the drop sequence, record the results, and upload them to Seller Central. Where Big Internet Ecommerce Fits In We turn SIPP from a “Packaging Project” into a “Profit Strategy.” Feasibility Audit: We look at your catalog. Which products are durable enough for SIPP? Which ones are too fragile? We give you a “Green Light / Red Light” report. Factory Liaison: We speak the language of Chinese manufacturing. We give your supplier the exact specs for “SIPP Compliant Cartons” so you don’t receive a container of crushed boxes. Certification Filing: We handle the paperwork. We ensure your self-test documentation is flawless so Amazon approves your discount immediately. Want to know the best way to handle prep fees? Consult BigIntermetEcommerce. Book a call to get your customized strategy roadmap today. Follow Big Internet Ecommerce (BIE) on Instagram & LinkedIn to stay updated with the latest trends in Amazon selling.

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Amazon Agentic SEO Rufus Strategy

Beyond Keywords: How to Rank in Amazon’s “Rufus” AI Era

Amazon has fundamentally changed how customers find products, and most sellers haven’t noticed yet. The search bar—once the king of discovery—is sharing the throne with Rufus, Amazon’s generative AI shopping assistant. With 250 million users engaging with Rufus to ask complex questions, the old rules of SEO (Search Engine Optimization) are evolving into AEO (Agentic Engine Optimization). What is Agentic SEO? Traditional SEO was about convincing an algorithm that your product matched a word. Agentic SEO is about convincing an AI Agent that your product is the best answer to a customer’s pain-point. Rufus doesn’t just “fetch” results; it “reasons” about them. The Three Pillars of Agentic Optimization Structured Data is the New Keyword Rufus relies heavily on the structured data in your listing’s backend to “understand” what you are selling. Old Way: Writing “Long lasting battery” in your bullet points. Rufus Way: Entering “24 Hours” in the “Battery Life” attribute field in Seller Central backend. The Risk: If you leave these optional fields blank, Rufus sees your product as “Data Poor” and may skip it when a user asks for a specific spec. Semantic Context (The “Noun Phrase”) AI models think in concepts, not keywords. They look for “Noun Phrases” that group attributes together. Instead of a title like: “Backpack | Travel | Laptop | Grey | Men” Rufus prefers: “Grey Travel Backpack for Men with Padded Laptop Sleeve” The second title establishes relationships between the words. It tells the AI what the product is and who it is for in a way the model understands. The “Consensus” Check This is the biggest change. Rufus reads your reviews. If you claim your product is “Quiet,” but 20% of your reviews mention “Loud humming noise,” Rufus knows you are not transparent enough. It will likely exclude you from answers to questions like “What is the quietest fan?” Your “Brand Health” and “SEO” are now almost the same thing. Where Big Internet Ecommerce Fits In We help you speak the AI’s language. Attribute Enrichment: We don’t just optimize your title; we optimize your data structure. We fill the gaps that Rufus uses to filter products. Q&A Seeding: We treat your Q&A section as a strategic SEO asset, planting the specific “Question/Answer” pairs that map to the most common Rufus queries in your niche. Review Sentiment Analysis: We use our own AI tools to scan your reviews, identifying the “Negative Sentiment” patterns that are blocking Rufus from recommending you—and help you fix the product or the messaging. The AI is asking questions. BigIntermetEcommerce makes sure you have the answers. Book a call to get your customized strategy roadmap today. Follow Big Internet Ecommerce (BIE) on Instagram & LinkedIn to stay updated with the latest trends in Amazon selling.

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Amazon IPI 350 Threshold 2026

The IPI Reset: Why Amazon’s New 350 Threshold Requires Immediate Action 

The Inventory Performance Index (IPI) is arguably the single most important metric for any FBA seller. It doesn’t just measure your efficiency—it dictates your capacity to do business on Amazon. For Q1 2026, Amazon has adjusted the rules, and while the change seems favorable, it carries a severe hidden risk. The Headline Change: IPI Floor at 350  Amazon has officially lowered the IPI score required to avoid storage limits from 400 to 350. On the surface, this is good for the mid-range seller. If your score lands between 350 and 399, you are no longer penalized with limits, giving you breathing room. The Real Danger: The 40% Capacity Cliff  The relaxed threshold comes with a significantly steeper penalty for those who fall below it. Sellers with an IPI score below 350 on the critical deadline face capacity reductions of up to 40%. Losing nearly half of your cubic footage allowance in Q1—a crucial restocking and sales window—can be catastrophic, leading to: Inability to restock best-sellers. Missed sales and stockouts. Further drops in IPI (the “death spiral”). The Critical Deadline: Late December, 2025  Amazon calculates your Q1 capacity limits based on your IPI score during this specific two-week window. The score is largely driven by how much inventory you have relative to your sales (Sell-Through Rate). Your Immediate, Two-Week Action Plan The Cull: Clear Aged Inventory Any inventory sitting in FBA for over 90 days is a drag on your IPI. Run the Report: Go to your Manage Excess Inventory dashboard. Take Action: Immediately initiate removal or disposal orders for any product where the Estimated Total Storage Cost outweighs the sales potential. The clock is ticking to get these units out of the fulfillment center system before the deadline. The Sprint: Boost Sell-Through You need to increase your sales velocity now. Pricing: Temporarily drop the price on aging SKUs to boost immediate sales volume. Advertising: Reallocate PPC budget to focus on SKUs that need the fastest clear-out. Use deep-discount coupons. Fix Stranded Inventory Units that are “stranded” (in FBA but not active) are the worst offenders. They count toward inventory volume but have zero sales contribution. Resolve these listing issues immediately to ensure every unit is actively working for your IPI score. Partnering with Big Internet Ecommerce for IPI Compliance Navigating this change requires precise, data-driven decisions. Big Internet Ecommerce’s Inventory Optimization Services focus on the IPI’s core metrics: We use proprietary forecasting tools to determine the exact IPI score you will achieve based on various removal and sales scenarios. We implement an integrated solution that routes excess FBA stock to a vetted 3PL network for safer, cheaper storage, freeing up your valuable FBA capacity. We manage the inbound process in Q1, ensuring you replenish stock in controlled volumes that sustain a healthy IPI score moving forward. Don’t wait for your capacity limits to drop by 40%. The time to act is the week between Christmas and New Year’s. Consult BigIntermetEcommerce. Book a call to get your customized strategy roadmap today. Follow Big Internet Ecommerce (BIE) on Instagram & LinkedIn to stay updated with the latest trends in Amazon selling.

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Amazon Star-Only Seller Feedback 2026

The “Silent” 1-Star: Surviving Amazon’s New Feedback Policy

It used to be that a 1-star review was a cry for help. A customer would write a paragraph detailing their frustration: “The box arrived crushed” or “They sent the wrong color.” While painful, this text was valuable. It told you what to fix. More importantly, it gave you the ammunition to appeal. With the full rollout of Star-Only Seller Feedback in late 2025, Amazon has silenced the customer—and handcuffed the seller. The Mechanics of the Update Amazon wants more ratings. To get them, they removed the friction of writing. Now, a buyer simply taps the 1-star icon and moves on with their day. The Benefit: You will likely see more 5-star ratings from happy, lazy customers. The Cost: You will see a spike in 1-star ratings from unhappy, lazy customers. The “Appeal” Problem Here is the policy detail that matters:  The “Request Removal” button is ineffective for star-only ratings.  Amazon’s logic is simple: If there is no text, they cannot verify if the rating violates policy. Was it a product review (which shouldn’t be on Seller Feedback)? Unknown. Was it a delivery delay (which is Amazon’s fault)? Unknown. Was it abusive? Unknown. Because it is unknown, it stays. The “FBA Strike-Through” Era is Over The most common way sellers maintained a 100% rating was by striking through feedback related to FBA fulfillment. If a customer leaves a silent 1-star because their Prime delivery was late, you take the blame. Your metrics degrade because of Amazon’s logistics failure, and you have no mechanism to prove it. Your Defense Strategy (The Big Internet Ecommerce Method) Since you can’t fight the rating, you must fight the friction. The “Pre-Rating” Intercept You must optimize your Buyer-Seller Messaging templates. When a customer initiates a return, your auto-response must be immediate, empathetic, and solution-oriented. You need to resolve the emotion before Amazon prompts them to rate the transaction. The “Report Abuse” Backdoor While the standard appeal is dead, the “Report Abuse” link still functions. BIE’s Account Health specialists use this channel for our clients. We monitor for patterns (e.g., 5 silent 1-star ratings in an hour) that indicate a bot attack. We present this data to Amazon’s executive seller teams to get removals based on behavioral anomalies rather than text content. Packaging as Insurance If the customer receives a beat-up brown box, they click 1-star. If they receive a branded, premium unboxing experience, they might still return it, but they are statistically less likely to leave a hateful silent rating. Packaging is your new reputation insurance. Silence isn’t golden. It’s dangerous. Let BigIntermetEcommerce help you navigate the noise. Book a call to get your customized strategy roadmap today. Follow Big Internet Ecommerce (BIE) on Instagram & LinkedIn to stay updated with the latest trends in Amazon selling.

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Amazon Product Opportunity Explorer AI 2025

The “Unmet Need” Engine: How Amazon’s New AI Fixes Product Research

If you are still choosing products based on “Best Seller Rank” alone, you are playing a 2020 game. In Late 2025, Amazon quietly revolutionized how sellers find their next winning product. The Product Opportunity Explorer (OX) got a massive AI brain transplant, and it is now capable of doing the one thing no software tool could do before: Identifying Unmet Demand. The Problem with Old Research Traditional tools tell you what is selling. They are historical. They tell you that “Garlic Presses” are popular. So, 500 sellers launch a Garlic Press. Margins crash. Everyone loses. The AI Solution: “What ISN’T Selling?” The new OX AI analyzes the “Negative Space” of Amazon. It looks for Search Abandonment. Scenario: 50,000 customers search for “Ceramic Garlic Press for Arthritic Hands.” Result: They click three listings, realize none of them are actually “easy squeeze,” and leave without buying. The AI Signal: The new tool explicitly flags this as an “Unmet Customer Need.” The “Review Insight” Goldmine The AI also reads every review in the niche and categorizes them by “Feature Impact.” It will show you a chart: “Ease of Cleaning”: +4.5 Star Impact (Customers love this). “Handle Durability”: -2.0 Star Impact (Customers hate this). The Opportunity: You don’t need to reinvent the wheel. You just need to release a press with a “Reinforced Steel Handle.” The AI has literally given you the manufacturing spec that guarantees a win. Where Big Internet Ecommerce Fits In Data is only useful if you can manufacture it. The Translation Layer: We take these AI insights and translate them into Technical Spec Sheets for suppliers. We don’t say “make it better.” We say “increase handle density by 20% to address the durability complaint.” Niche Validation: We filter out the “False Positives.” Sometimes search volume is high because the product is impossible to make at a profit. We run the unit economics to ensure the “Unmet Need” is actually profitable to fill. Listing Architecture: We write your title and bullets to scream the solution. If the AI says people want “Arthritic Friendly,” your main image will feature a badge saying exactly that. Don’t just launch a product. Launch a solution with BigIntermetEcommerce. Book a call to get your customized strategy roadmap today. Follow Big Internet Ecommerce (BIE) on Instagram & LinkedIn to stay updated with the latest trends in Amazon selling.

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