How Should You Analyse Product Performance in eCommerce?

Featured snippet: How should you analyse product performance in eCommerce? You should analyse product performance by tracking sales, profit, conversion, refunds and stock per SKU, then acting early on products that underperform instead of waiting for “dead stock” reports.

How to Analyze Product Performance (And Spot What’s Not Selling Early)

Most stores know their “top sellers”. Very few know which products quietly drain cash, hurt conversion, or take up stock and ad spend they do not deserve. Product performance analysis is about seeing each SKU as a small business: does it attract the right traffic, convert, and make profit?

What store owners really ask about product performance

Typical questions sound like: “Which products actually drive profit, not just revenue?” “How early can I spot a product that won’t sell?” “Which SKUs should I stop promoting or stocking?” Other chapters in this guide already cover related topics: traffic but no sales, conversion drops, revenue leaks, and wasted ad spend. Here we put the focus on products themselves.

A WooCommerce example: a “top seller” that hurts you

In your WooCommerce store, Product A looks good: Monthly revenue: 20,000 $ Orders: 400 AOV with this product in the cart: 70 $ On a simple “top products by revenue” report, it shines. But if you add costs: Cost of goods per unit: 30 $ Average shipping and packaging per order: 8 $ Average discounts per order: 5 $ Refund rate: 10% of orders Rough monthly profit: Revenue: 20,000 $ COGS: 12,000 $ Shipping: 3,200 $ Discounts: 2,000 $ Refunds (assuming full refund of revenue share): ≈ 2,000 $ Profit is close to zero or even negative. On dashboards, Product A is a winner. In your bank account, it is a leak.

Step 1: Split products into a few simple groups

To make this manageable, group products into: Core drivers – consistent revenue and profit, stable demand. Rising stars – fast growth in views and sales, still proving themselves. Slow movers – low sales, tying up stock and attention. Problematic SKUs – high refunds, low margins, or bad impact on conversion. You do not need a perfect model. You need to know which group each product falls into so you decide what to do with it.

Step 2: Look beyond revenue to profit

For each key product, look at: Revenue and orders. Cost of goods. Average shipping and packaging cost. Average discount applied. Refunds and returns. Questions to ask: “Which products have good revenue but low or negative profit?” “Which products lost profit this month even if sales went up?” This links directly back to How to Identify Revenue Leaks in Your eCommerce Store (Before They Add Up).

Step 3: Check conversion and traffic by product

Product performance is not just about sold units. It is also about: How well a product page converts its visitors. Whether the traffic it gets is suitable. Look for: Products with high views and very low add-to-cart or purchase. Products that convert worse than others in the same category. Products whose conversion dropped compared to last month. This overlaps with Getting Traffic but No Sales? and How to Improve eCommerce Conversion Rate.

Step 4: Watch for early signs of “not selling”

You want to catch slow movers before they become dead stock: New products that get decent impressions but hardly any orders after a few weeks. Old products whose views and orders are declining steadily. Items that only sell when heavily discounted. Questions: “Which products launched in the last 60 days with more than 500 views and fewer than 10 orders?” “Which products have declining sales for three months in a row?” These are strong candidates for better photos, improved copy, new offers, or removal.

Step 5: Connect product performance to campaigns

Your ad spend and your products are linked: Some products respond very well to ads and bring high-margin orders. Others eat ad budget and barely move. Useful checks: “Which products get the most paid traffic?” “For those products, what are the conversion and profit per order?” If a product does not perform under ads, either: Fix the product page and offer. Or stop sending paid traffic to it and focus on better SKUs. This is the product side of How to Detect Wasted Ad Spend in eCommerce Before It Costs You Thousands (2026 Guide).

Step 6: Factor in refunds and customer experience

A product that sells well but generates many returns can hurt: Profit, due to costs of returns and shipping. Customer trust, due to bad experiences. Watch for: Products with much higher refund or complaint rates than your average. Products whose reviews or ratings decline over time. These should be treated as problem SKUs: change them, fix them, or remove them.

Step 7: Tie everything back to priorities

Once you have this view, connect it to the question “What should we fix first?”: Fix or remove products that lose money or damage trust. Strengthen products that drive profit and respond well to ads. Decide where to focus creative, development, and inventory efforts. The chapter What Should You Fix First in Your Store? (A Practical Prioritization Framework) can help you turn these findings into a ranked list.

How Storita helps you monitor product performance continuously

Doing all of this with static reports and spreadsheets is possible, but hard to keep up. Storita, acting as your AI eCommerce manager, is designed to monitor product performance every day and flag what matters.

Daily scans and business reports with product focus

Storita scans your store daily and sends daily, weekly and monthly business reports that show: Which products drove revenue and profit this period. Which products underperformed compared to their usual patterns. Which products created leaks through low margin or high refunds. Behind the scenes, Storita looks at: business performance – to see product impact on revenue and profit. product pages – to monitor traffic, conversion and behaviour. traffic sources – to connect products with their traffic and campaigns. users’ behavior – to spot where people engage or drop for each product. competitors’ analysis – to understand when a product’s decline is linked to stronger offers elsewhere.

From list of SKUs to clear product insights

When a Storita report shows product changes, you can chat with your store data and ask: “Which products had the biggest drop in profit this month?” “Which SKUs get over 300 views and fewer than 3 orders in the last 14 days?” “Which products get the most paid traffic but low or negative profit?” Storita answers in plain language and can generate on-the-fly charts so you see patterns at a glance.

How this chapter fits into the guide

Product performance is one of the most important levers in your business: the same traffic and budget can give you very different results depending on what you promote and keep in stock. The Complete Guide to AI eCommerce Manager & Growth ties this analysis back to daily monitoring, ad spend, leaks, and prioritisation. From here, useful next chapters are: How to Detect Wasted Ad Spend in eCommerce Before It Costs You Thousands (2026 Guide) – to align ad spend with your best products. How to Improve eCommerce Conversion Rate (Real Causes Most Stores Miss) – to fix product pages that get traffic but fail to convert. What Should You Fix First in Your Store? (A Practical Prioritization Framework) – to decide which product issues to tackle first.