Amazon Seller Data Tactics for Non-Technical Professionals

The smartest sellers are studying buying behavior. Search Query Performance (SQP) gets all the attention, and for good reason. It tells you what’s bringing people in. But it doesn’t tell you who they are or what else they buy once they’re in. That’s where Market Basket Analysis comes in, and most brands are overlooking it. What sellers assume: That success on Amazon is just about targeting better search terms, ranking higher, and converting faster. What’s actually happening: Amazon is quietly telling you who your buyer is through what they add to their cart with your product. Market Basket Analysis (available through Brand Analytics) shows which ASINs are frequently purchased alongside yours. It’s not just an accessory report. It’s an audience signal. Think about what you can learn: • What types of products your customer also buys • What categories they shop in and where you’re missing presence • What brands you’re most commonly paired with (or competing against) • How your product fits into a larger use case or solution This isn’t just helpful for cross-selling. It reframes how you define the role your product plays in the customer’s life. And when you understand that, your entire strategy shifts: → Better bundles → Smarter A+ and brand store design → More relevant ad targeting → More accurate assumptions about lifetime value Amazon is not just a search engine. It’s a marketplace of people with routines, context, and intent. Market Basket Analysis helps you stop guessing. It connects the dots between your product and your real audience, not just the keywords they typed. If you’re still optimizing in isolation, you’re missing what’s actually moving in the cart. Because what good are perfect keywords for the wrong customer? So to start using this report, check out the video and see how to find it on your account #AmazonSellers #BrandRegistry #MarketBasketAnalysis #AmazonData

Two years ago I went semi-viral on LinkedIn for saying that the next generation of Amazon sellers would be data scientists. I was wrong. I'm not saying data doesn't matter. In fact, Amazon is giving sellers access to so much data that you could risk drowning in it. Sellers still need to: ✅ Monitor keyword, CVR, and CPC trends ✅ Segment audiences and build customer journey modeling ✅ Build pricing strategies based on competitors, retail events, etc. ✅ Move quickly using all of this data A few years ago, the above required AT LEAST being proficient in SQL. But with AI, you simply don't need technical skills to uncover insights. Sellers don't need to be data scientists. They just need to data obsessed. Curiosity and a keyboard can build a great brand. Case in point, Xnurta just released an AI Reporting Agent. Early testing shows it reduces the time to build reports by 90%. Instead of querying tables, just ask the AI tricky questions in natural language and get instant answers. Better yet, you'll get presentation-ready reports in minutes. If you're an agency, all you have to do is upload a previous reporting template, and you'll get the most recent data in your preferred format. Analysis still matters, but the barrier to analysis is low. What matters more than technical skills now is strategic decision-making, grit, and a passion for your customers. All that sounds a lot like what made the early Amazon operators great in the first place. So no, the next generation of Amazon sellers won't be data scientists. But the winners will incorporate AI agents into their teams to make EVERYONE a data scientist.

Growing on Amazon is a data-driven game. (here's how to master it) I've been selling on Amazon for years and later co-founded a software company that boosts Amazon sales with data and automation. From sales and marketing to business scaling, I've seen the power of data firsthand. We've helped brands and agencies surpass $200MM with a simple approach:  analyze and measure. First, your customers.  Your role is to add value for them, so get to know who you're selling to: → Their demographics: age, income, education, gender, marital status. → What they're looking for and the keywords they use to search. → Their shopping habits: what they buy together, how often they shop, and when they last made a purchase. With its insights, you can: > Optimize your listing. > Enhance your storefront. > Improve your PPC campaigns. > Get ideas for cross-selling and bundling to grow your product line. > Refine your marketing and adjust your tactics if needed. Amazon Brand Analytics is your go-to for all of that. ✅ You can check the attached file to unlock its full potential. Also, mix it up with a third-party tool for deeper insights on: > Competitor analysis > Keyword research > Product pricing and more. ZonGuru's Keywords on Fire, for instance.  It reveals competitor keywords you won't find in Amazon Brand Analytics. All of these give you a 360-view of the market, sharpening your sales and marketing move. Need I say more? If you are a well-established brand on Amazon, send me a "QUALIFY" message. We're having an exclusive program to help you maximize growth with data-driven strategies. #amazon #ecommerce #FBA