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The complete guide

E-commerce: the complete guide to converting more of your visitors

IN SHORT

An online store makes money in three places: the product page that persuades, the checkout that closes, and the numbers that tell you which one is leaking. These guides explain the mechanics with dated research and examples from stores, service firms and software companies that sell online.

Questions

What is a good e-commerce conversion rate?

There is no single good number. Shopify’s guide, updated in August 2026, cites a global average of 1.4% from Statista for the first quarter of 2026, and 2.66% from Dynamic Yield across more than 400 brands. Category matters more than either: Dynamic Yield’s June 2026 figures run from 5.7% for pet care to 0.63% for luxury and jewelry. A good rate is one that beats your own last quarter on the same traffic mix, and one that your price point and category can support. Compare against yourself first, and use industry averages only as a rough sanity check. Our [conversion rate guide](/resources/learn/ecommerce/ecommerce-conversion-rate/) shows how to calculate it and split it by device and source.

What should I fix first: product pages or checkout?

Fix whichever step loses the most people, and measure that before you guess. Baymard Institute, which studies online shopping usability, reports an average cart abandonment rate of 70.22% across 50 studies (page updated September 2025), so checkout almost always has room. But shoppers who never add anything to the cart never reach it. Compare your add-to-cart rate with your cart-to-order rate. If few visitors add to cart, start with the [product page](/resources/learn/ecommerce/product-page-optimization/). If many add and few buy, start with the [checkout](/resources/learn/ecommerce/checkout-optimization/). Small stores often need both, but one will be clearly worse.

Does page speed really affect sales?

Yes, and Google and Deloitte measured it. Their study, published on web.dev, monitored 37 European and American brand sites over 30 days at the end of 2019, covering more than 30 million user sessions. A 0.1 second improvement in mobile load time was linked to retail conversions rising 8.4%, and retail shoppers spending 9.2% more. The data is observational and now several years old, so treat it as a direction, not a promise. The practical point holds: slow pages cost you shoppers you already paid to attract. Test your product and checkout pages on a mid-range phone, not only on your office wifi.

Do I need structured data on my product pages?

It is not required to sell, but it helps search engines read your products correctly. Google’s documentation says merchant listing results need a Product with a name, an image and an Offer that carries a price and currency. Recommended properties such as availability, shipping details and return policy make listings richer. Markup must match what shoppers see on the page, and Google does not guarantee that markup produces a rich result. Most store platforms generate basic markup, so the job is to check it is complete and accurate. See the [product page guide](/resources/learn/ecommerce/product-page-optimization/) for the exact fields.

Is this only for stores that sell physical products?

No. The same mechanics apply to anyone who takes payment online: a software company selling plans, an accountant selling fixed-price packages, a clinic selling a product line. Each has a page that persuades and a form that collects payment, and each loses people at the same predictable points: surprise costs, forced accounts, unclear policies and long forms. The examples in each guide are fictional businesses chosen to show the method in different settings. If you sell by quote rather than by card, our [conversion rate optimization](/services/conversion-rate-optimization/) work looks at the enquiry form instead of a cart.

How long does it take to see an improvement?

Fixing an obvious break, such as a payment error or a hidden shipping cost, can show up in days. Testing changes properly takes longer, because you need enough orders to tell a real difference from chance, and a store with few orders may need weeks per test. No one can promise a specific uplift. What you can control is the order of work: measure the funnel, fix the largest leak, change one thing at a time, and write down what you learned. Webtec scopes this with a project manager so you know what is being changed and why.

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