Utilizing Data For Ecommerce Decision Making

More traffic means nothing if you can’t turn visitors into customers. We helped an eCommerce client grow revenue by 72% and 3X’d their organic traffic along the way. Turns out, when you give users a better experience and convert them, Google will naturally send you more free traffic. Here’s exactly how we did it, and how you can too. 👇 1️⃣ Your blog should actively drive sales, not just rank. Find your top-selling products in Google Analytics. Go to Reports → Monetization → Ecommerce purchases. Sort by revenue or units sold. These are your “money” pages. Next, add contextual internal links from relevant blog posts. Link naturally within sentences using descriptive, keyword-rich anchor text. 2️⃣ Add product widgets at strategic points in your content: Place widgets in 3 key areas: - Within articles when discussing related items - Sidebar for consistent visibility - Bottom of posts for subtle promotion Try these proven widget types: - Popular/bestselling products  - Recently viewed items  - New arrivals  - Special offers/discounts  - "People also buy" recommendations Make sure your widgets have:  - Clear, clickable images  - Direct "Add to Cart" buttons when possible  - Quick view functionality 3️⃣ Keep visitors engaged with related posts sections at the end of each article. Not all your visitors will buy right away. Extract SEO value from them using related posts. WordPress users can try Contextual Related Posts plugin, while Shopify stores can use Related Blog Posts Pro. Longer site visits mean more product discovery opportunities. 4️⃣ Never use generic product descriptions. Create unique descriptions at scale with ChatGPT’s (free) Ecommerce SEO Product Description Writer. Feed in your product name, features, and what makes it different. Then enhance the output with customer-focused benefits, clear features, and FAQs. 5️⃣ Structure descriptions into scannable sections: - Brief overview for busy shoppers - Detailed info for researchers - Feature lists with practical benefits - Clean technical specs - How-to sections for complex products The key here is to give Google exactly what it wants - unique content that satisfies user intent AND converts. The result of these tweaks? • 204% increase in organic traffic (9,107 → 27,699 monthly sessions) • 72% increase in monthly revenue • 1.75x more keywords in top 10 positions (2K → 3.5K)

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

Struggling to keep up with Amazon's endless metrics? You’re not alone. Selling on Amazon is all about the data. But when there’s so much to measure, it’s easy to get lost and hard to know what actually moves the needle for your store. That’s why I created this Amazon Business Report Metrics Cheat Sheet—specifically for sellers who want to maximize their potential without drowning in data. After years of working with agencies and sellers to boost their performance on Amazon, I’ve seen firsthand how overwhelming these reports can be. So, let’s simplify. Below, you’ll find a cheat sheet of the most impactful metrics in Amazon’s Sales & Traffic reports. These are broken down into core categories, so you know exactly where to focus: ▪️Performance Metrics ▪️Traffic and Conversion Metrics ▪️Customer Engagement Metrics ▪️Inventory Metrics ▪️Advertising and Marketing Metrics ▪️Sales and Profitability Metrics ▪️Fulfillment Metrics Have I missed anything that would be valuable to your Amazon strategy? Drop your thoughts in the comments! P.S. Ready to make Q4 your best yet? We’re launching an exclusive program for established brands ready to dominate Q4 with data-driven strategies. Message me ‘QUALIFY’ to see if you’re a fit. As trusted partners of Alibaba and Amazon, we’ve helped sellers and agencies generate over $200 million in revenue. Are you next?

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.

This is how we achieved +56% CTR and 17% placed order rate in just one quarter for an eCom brand after optimizing their zero-party data strategy. Clay And Glow is a skincare brand. They have a skin quiz which helps visitors find the right products. But there were a few challenges: - The email flows were not making the most of the data collected - They were only collecting this data from a small % of their audience that took the quiz - The emails were not focusing enough on education So we reworked their most impactful, pre-revenue flows and created new ones from the ground up. These 3 things made all the difference: - Collecting preferences via every signup form and 1-click surveys embedded in emails The more users we can segment, the more powerful whatever personalisation strategies we implement. - Only showing relevant tips, reviews, UGC etc. to each segment These content types are powerful enough already, imagine what happens when you make them super-relevant. - Introduced more educational content We made the email slightly longer, with more tips, and more customer stories to really explain the product benefits - all tailored to each specific segment. The result? * 13.4% open rate increase * 55.88% click rate increase * 16.92% placed order rate increase

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

If I could only optimize 4 things to increase sales, here's exactly where I'd start. Most brands optimize their homepage first. That's completely backwards. Instead, start "close to the money" and work backwards from purchase. Here's the priority order that actually moves revenue, quickly: 1. Post-purchase upsells (biggest bang for buck) Do you offer post-purchase upsells or cross-sells? If not, you're leaving like ~10% revenue on the table. Why this works: → Customer already has payment info entered → They're in "buying mode" after successful purchase → Impulse resistance is lowest right after buying → Implementation takes literally minutes What to offer: → Complementary products at a discount → More of what they just bought → "Complete the experience" add-ons → Extended warranties or care products Near-instant AOV increase with minimal effort. 2. Checkout optimization (where 70% drop off) If you are on Plus, are you using Shopify's checkout extensions? Must-have checkout blocks: → Cross-sells and upsells during checkout flow → Social proof (ratings/reviews/testimonials) → Trust signals (security badges, guarantee reminders) → Shipping incentives clearly displayed You've done the hard work getting them here. Don't let a poor checkout experience kill the sale. 3. Smart cart experience Ditch the dedicated /cart page. Use a slide-out/JSON cart instead. Why slide-out carts convert better: → No page load interruption → Maintain shopping momentum → Perfect space for additional offers → Keeps them on product pages longer Smart cart essentials: → Incentive progress bar ("Spend $25 more for free shipping") → In-cart upsells and cross-sells → Trust signals and guarantees repeated → Easy quantity adjustments We’ve seen these carts lead to a 20-40% improvement in cart-to-checkout conversion. 4. Cart abandonment recovery Even with perfect optimization, 30% will still abandon. Capture them. Recovery tactics: → Exit-intent popups → Abandoned cart email/SMS/direct mail sequences Most brands think: "Let's get more traffic to the homepage first." Smart operators think: "Let's maximize revenue from people already buying." Why this approach works: → Quickest implementation and results → Highest ROI optimizations first → Builds momentum and confidence → Generates revenue to fund further optimization The crazy part? We haven't even touched: → Product pages → Homepage → Collection pages → Navigation

Struggling to turn window shoppers into customers? Let’s talk zero-party data—your untapped goldmine for skyrocketing conversions. Here’s the deal: most brands settle for collecting just an email and name on their pop-ups. That’s fine… if you like leaving money on the table. But when you dig deeper—asking the right questions to understand the needs of your traffic—you unlock the power to craft personalized experiences that make buying your product feel like a no-brainer. It’s not just about gathering data; it’s about context. Think about it: a generic email might say, “Hey, check out our skincare line.” But if you know your prospect’s biggest concern is aging gracefully, your message transforms into, “Here’s the secret to looking radiant at any age.” Boom. Relevance = revenue. The magic lies in pairing this data with strategic email flows. By tailoring messages to match each prospect’s stage in their journey, you’re no longer just selling, you’re solving their exact problem. The formula is simple: ask specific, easy-to-answer questions, collect actionable insights, and use them to deliver value. Whether it’s a product recommendation or a perfectly timed follow-up, zero-party data lets you meet your customers where they are—and guide them where you want them to go.

If you're not tracking your hero products, you're leaving money on the table. Here's why: -Use Analytics Tools Use tools like Amazon Seller Central, Helium 10, and DataDive to track data. Pay attention to metrics: Sales, conversion rates, and customer reviews. -Set Clear KPIs Define key performance indicators (KPIs) for your hero products. Focus on metrics like revenue, click-through rates, and return on ad spend (ROAS). -Regular Reviews Schedule regular reviews of your performance data. Weekly or monthly check-ins help you stay on top of trends and make timely adjustments. -Customer Feedback Pay attention to customer reviews and feedback. Positive reviews confirm what’s working, while negative feedback highlights areas for improvement. -A/B Testing Conduct A/B testing to compare different strategies. Test variations in product descriptions, images, and pricing to see what your audience likes. -Competitor Analysis Keep an eye on your competitors. Use tools to compare performance against similar products and identify areas for improvement. -Adjust Based on Data Use the insights gained from tracking to adjust your strategies. If a product’s performance dips, reassess your approach and make necessary changes. Tracking and adjusting your hero-product's performance ensures the best results. Be attentive, use the right tools, and keep optimizing to maintain a competitive edge. Good luck out there!