Digital Data Management Solutions for Amazon Sellers

Over 80% of the data that determines how Amazon categorizes, understands, or ranks your product isn’t visible in Seller Central. If you're not using flat files, you’re flying blind. That’s something I recently discussed on Kevin King's podcast. Because most sellers make the same mistake: they trust only what they see in the UI. But here’s the truth: We’re not heading toward a future where backend data matters. We’re already there. In Amazon’s space, what you don’t see can cost you visibility, sales, or your listing. That's why the Category Listing Report (CLR) is a must-have. This isn’t just a spreadsheet. It’s the only full copy of how Amazon actually sees your catalog. 💡 The CLR reveals backend fields that can affect performance or suppression, including: 🔹 Hidden search terms 🔹 Compliance triggers you never set 🔹 Attributes that influence indexing and discoverability 🔹 Blank fields that hijackers use to inject risky keywords These fields don’t show in the UI, but they’re used in enforcement, ranking, and relevance. That’s why we teach clients to use the CLR as both a blueprint and a defense plan: ✔️ Troubleshoot suppressions faster ✔️ Catch data mismatches before they escalate ✔️ Maintain control, even as new contributors or AI models make changes Now here’s where it gets more urgent: Amazon is rolling out AI-powered listing tools. In theory, you provide product info, and AI structures your listing for you. Sounds great. But here’s the risk: ⚠️ AI can misinterpret empty fields ⚠️ It can auto-fill incorrect assumptions ⚠️ It can quietly trigger suppressions or reclassification AI is powerful if you control the structure from which it’s built. Flat files, especially the CLR, give you that control. And in a system where backend changes can quietly derail performance, visibility is your edge. Are you using flat files to manage your listings? Have you ever reviewed your CLR? or is it still something you haven’t requested? Let’s make this a working thread. Your approach might help someone avoid their next takedown. #AmazonSellers #FlatFiles #AmazonCompliance

Empowering Amazon Sellers with Data-Driven Insights: My Power BI Amazon Products Dashboard As an Amazon seller, staying on top of your product performance and market trends is crucial for success. However, with the vast amount of data available, it can be challenging to extract meaningful insights and make informed decisions. This is where data visualization tools like Power BI come in handy. I recently embarked on a project to create a Power BI Amazon Products dashboard to help sellers gain a comprehensive overview of their product performance, sales trends, and customer feedback. The dashboard features interactive charts, graphs, and filters that allow users to easily analyze their data and identify areas for improvement. Here are some of the key features of my Power BI Amazon Products dashboard: Track sales performance: Monitor revenue, units sold, average order value, and other critical sales metrics to assess product profitability and identify growth opportunities. Analyze product trends: Identify top-selling products, seasonal trends, and customer preferences to make informed decisions about product assortment and pricing strategies. Gather customer insights: Gain valuable insights from customer reviews and ratings to improve product quality and customer satisfaction. Visualize data effectively: Utilize interactive charts, graphs, and maps to present data in a clear and concise manner, making it easier to identify patterns and trends. Customize the dashboard: Tailor the dashboard to your specific needs by adding or removing widgets, adjusting filters, and customizing visualizations. Creating this Power BI Amazon Products dashboard has been an incredibly rewarding experience. It has given me a deeper understanding of the power of data visualization and its ability to transform complex data into actionable insights. #PowerBI #AmazonSeller #DataVisualization #DataDrivenDecisionMaking

Andy D., #Feedonomics Global Dir of Sales & I discuss their great platform for #marketplace & other #ecommerce #channel integration and product feed management & synchronization / syndication. Over 30% of the Internet Retailer 1000 brands use Feedonomics for channel management. Their platform enables additional sales channels by integrating into #marketplaces like #Amazon, #Walmart, Target+, eBay, #TikTok, Facebook, Google Shopping & 300 other platforms. Data can be imported from ecommerce, PIM, OMS, ERP, etc. platforms via URL, SFTP, API & other tools. Even though Feedonomics is owned by BigCommerce, they have import connectors for #Shopify, Adobe Commerce / Magento, Woo Commerce, Salesforce Commerce Cloud & other ecom platforms. In addition to product information (title, description, categorization, keywords, attributes, etc.), the platform also synchronizes dynamic information like pricing, inventory & orders. It also optimizes each channel for the best merchandising (tuned for each platform), pricing, advertising, etc. Maximizing ad ROAS is growing in importance as SEM costs increase & the number of retail media networks explode. Feedonomics supports 4 main categories of channels: marketplaces, social, advertising & affiliate networks.  Clients span retail, technology, CPG, food & beverage, and professional services industries. Example clients include Dell, Samsung, Allbirds, PUMA & Fox Racing. Amazon Today is an example fast growing channel for brick & mortar retailers. Feedonomics will synchronize a retailer’s in-store inventory & pricing to Amazon for #AmazonPrime same-day delivery using Amazon’s last-mile fulfillment network. In-store pickup via #AmazonToday can also drive foot-traffic for additional brick & mortar sales. They use a phrase “Feedprint” which combines the number of channels fed with the number of products availability per channel. Clients average 15.5% feedprint growth from 11.7% channel expansion & 3.4% product growth per channel. Feedonomics customers on marketplaces grow 2x more than the ecommerce growth rate (20.5%). Marketplace revenue distribution is: Amazon 56%, Target+ 20%, eBay 10%, Walmart 8%, Meta 4%, & TikTok 2% (rapidly growing). RMW Commerce found that “customers use an average of 6 touchpoints, with 50% regularly using more than 4. … By expanding to 3 or more channels, companies can boost their order rate by a substantial 494%.” See also my video post with BigCommerce VP of Enterprise Sales, Thom Armstrong (at The Lead Summit) about their great #ecommerce platform: https://lnkd.in/dDnAPmCA To learn more about ecommerce & marketplaces, follow McFadyen Digital.

🚨 New Tool Alert for Amazon Sellers! 🚨 Amazon just rolled out a powerful upgrade to the Selling Economics and Fees dashboard: the “Additional Financial Inputs” tab. This new feature lets you input and track your own cost data to get real SKU-level profitability insights like never before. 📊 What you can now track: Cost of goods sold Storage per unit Off-Amazon advertising spend (Google, Meta, TikTok & more) Freight, manufacturing, LTL, packing costs Fulfillment & merchant shipping Sales forecasts (daily/weekly/monthly/90-day) Miscellaneous overhead costs 💡 Why it matters: This tool transforms your Amazon dashboard into a true unit economics engine, allowing you to make data-informed decisions about your pricing, ad strategies, and inventory planning. Your data stays secure and is not shared with other sellers or Amazon Retail. ✅ No requirement to save data. ✅ Delete anytime. ✅ Build more accurate forecasts and get actionable insights. 📥 Bonus: You can even prefill historical dates and select your store/currency to create templates customized for your team. This is a big win for brand managers, finance teams, and ad buyers who want to tighten margins and scale profitably on Amazon. 💬 Curious is anyone using this yet? #AmazonSeller #eCommerce #MarketplaceManager #Profitability #Advertising #AmazonTools #AmazonFBA #UnitEconomics #DigitalMarketing #DataDriven #NewFeature #EcommerceStrategy