What Is E-Commerce?

E-commerce is the buying and selling of goods or services that happens over the internet, without buyer and seller sharing the same physical space. Payment, the order, and often the first contact itself all happen on screen, even though the product's actual delivery can still be physical.

Three models split apart based on who's selling to whom. B2C (business to consumer) is the most familiar: a company sells directly to an individual, like an online clothing store. B2B (business to business) moves orders between companies, with bigger catalogs and longer buying cycles, say a manufacturer selling parts to another business. C2C (consumer to consumer) connects individuals directly with each other, usually through a marketplace acting as the middleman, like selling a used piece of furniture on a classifieds platform.

A single business can run all three models at once without any contradiction: a clothing brand sells directly to shoppers (B2C), supplies physical retailers (B2B), and lets people resell used items on its own site (C2C).

Building an online store means choosing between three basic structures, each with very different consequences for how much control a business keeps and how much technical work it takes to run.

None of the three models wins outright: a new brand can use a marketplace to test demand before investing in its own store with more control.

An online store carries SEO problems that rarely show up on a blog or a corporate site, and nearly all of them trace back to catalog size. The first sits right on the product page: many stores publish the manufacturer's description exactly as it arrives, and that same text shows up word for word across dozens of stores selling the same item. To Google, that text stops adding anything distinct from one listing to the next.

The second comes from filters. A GET parameter gets created every time someone filters by color, size, or price, and every possible combination builds a new URL showing almost the same list as the last one. Across several categories with several filters each, those combinations can multiply into thousands of nearly identical URLs, a duplicate content problem that the store's technical SEO has to solve with clear indexing rules.

The third one runs the other way: it makes each product page more visible in search. Structured data of type Product can show price, availability, and average rating right in the search result, before anyone clicks. That extra layer doesn't replace a well-written description, but it lifts the click-through rate of a page that otherwise competes against thousands of nearly identical ones.

E-commerce is the natural home of cross-selling and up-selling: both techniques started in physical retail, but they automate far better in an online store, where a system can calculate in real time which complementary product or higher-value version fits a given customer's purchase history.

It's also the context where CRM, customer journey, and retargeting apply more concretely than in most other businesses. The most common example is the abandoned cart: someone adds a product, doesn't complete payment, and that drop-off gets logged as an exact point in the customer journey. From there, a retargeting campaign can show that same product again on other sites, while the CRM keeps that history, so if the person buys weeks later through a different channel, the record still traces back to that first abandoned cart.

There's also a special case inside e-commerce: selling through a marketplace like Amazon, where the business controls neither the listing's design nor most of the internal ranking rules. That context runs on its own Amazon SEO rules, distinct from running an independent store.

• Rewrite the manufacturer's description with original information instead of publishing the spec sheet text as is.
• Set a clear canonical tag on every URL with filter parameters, so Google knows which version to index.
• Tag every product page with Product-type structured data, including price, availability, and rating where one exists.
• Tie cart abandonment to a specific point in the customer journey, rather than logging it as an isolated number.
• Segment retargeting campaigns by the exact product left in the cart, not by a generic store visit.
• Check the CRM for which products drive the most repeat purchases before planning the next cross-selling block.

• Leaving filter pages without noindex even though they show the same list as the main category.
• Copying the manufacturer's spec sheet straight into the product description, across all three e-commerce models alike.
• Running retargeting campaigns with no frequency cap, until the brand gets associated with being followed around rather than the product.
• Treating a marketplace listing and an independent store as the same business for SEO purposes, when each follows different rules.
• Not checking structured data after a template change, so the marked-up price stops matching what the shopper actually sees.