ECOMMERCE MARKETING

Ecommerce SEO that helps the right products get found

Shopify, WooCommerce, BigCommerce or Magento: the work is the same. Sort category architecture, faceted URLs and product schema, then measure profitable orders.

A clear plan. A dedicated partner. Measurable progress.

Illustrative Search Engine Optimization (SEO) preview for ecommerce stores best running shoes All Maps Images News More yourbrand.com Your Brand Here Fit, care and returns answered before the cart. northgateoutfitters.com Northgate Outfitters Collection page with prices. Few product details. harborgoods.com Harbor Goods Marketplace listing. Stock and seller change often. #1 Get discovered Answer the need Grow right-fit purchases

THE PROOF IS PERSONAL

Hear from the attorneys themselves.

A CLEAR CONNECTION TO YOUR BUSINESS

Connect organic discovery to sales

Category entered

See which category and use-case pages earn the non-brand entrances.

Product added to cart

Follow organic sessions from the category page into the cart.

Repeat order

Track how many organic first orders come back for a second.

A PLAN YOU CAN FOLLOW

Make the whole catalogue findable.

Illustration of four searches ranked by volume, two marked worth winning and two marked not Which searches are worth winning? free shipping coupon code 12,100/mo ✗ trail running shoes for wide feet 3,600/mo ✓ best running socks for blisters 1,600/mo ✓ running shoes wholesale 1,000/mo ✗ 2 of 4 worth working on ✓ Top pick: trail running shoes for wide feet Ranked by volume, then by intent and likely outcome

Map demand to the range

Match the searches shoppers make to collections already in the range. Start where demand is reachable and the products remain worthwhile after returns, so the plan prioritizes catalogue pages worth building and sales worth winning.

Illustration of a site structure: one homepage branching into collections, products and buying guides, with the link counts under each A structure search engines can follow Your homepage Collections Products Buying guides Every collection has its own page 11 pages Products link to the collection they sit in 240 links Guides answer the questions shoppers ask 8 guides Every page has one job and one clear route to it

Fix the architecture

Create a shallow category tree that keeps products within a few clicks, and give useful filters indexable URLs while excluding the rest. Speed up collection and product templates, then set clear rules for out of stock items.

Illustration of four sources that vouch for a store, each ticked with the signal it produces Places that vouch for you SOURCE SIGNAL ✓ Retail marketplace Verified seller profile Listed ✓ Industry publication Product round-up 1 link ✓ Independent reviewer Hands-on review 1 link ✓ Customer reviews Verified purchases, 4.7 1,840 reviews Relevance first: the sources your shoppers already read

Make products legible

Mark up price, stock and review data on each product, and connect buying guides with the collections they discuss. Support the catalogue with relevant marketplaces, publications and independent reviewers, so product pages are not the only source vouching for the range.

Illustration of a four stage funnel from search impressions to orders placed, with a count and a kept-rate at each stage From impression to shopper Search impressions 74,500 Product visits 9,690 13% Checkouts started 1,340 14% Orders placed 831 62% KEPT Sample comparison

Measure profitable sales

Follow organic visits from category and product searches through completed orders. Read sales after returns and against product margin, so each collection is judged by the profit it leaves rather than by traffic or search position alone.

ONE PAGE PER INTENT

Map buying intent to collections and products

Two shoppers can type similar words and want completely different pages. One is browsing a range; the other has chosen and wants to check the sizing before ordering. A catalogue that answers both with the same page loses both. The map below is the first thing we build for a store: what someone types, which page should answer it, and what that page has to contain before it deserves the click.

“running shoes”

Where it should land: A collection page Why that page: The words name a whole range, so the page has to show the range. What the page has to answer: What is in it, how to narrow it down, and what separates one option from the next.

“trail running shoes for wide feet”

Where it should land: A filtered collection with a page of its own Why that page: A real, repeated need that a filter alone answers badly. What the page has to answer: Why this selection exists, who it suits, and what to check before ordering.

Illustration of a collection hierarchy where every level is a page of its own, with the number of pages under eachEvery level is a pageAll shoes40 pagesRunning18 pagesTrail7 pagesRoad11 pagesWalking12 pagesBuying guides6 pagesEach level has a page of its own, not just a filter

“trail shoe review”

Where it should land: A product page Why that page: The shopper has already chosen. They want the detail and the reassurance. What the page has to answer: Fit, materials, delivery, returns, and the questions buyers keep asking.

“how do I choose trail running shoes”

Where it should land: A guide, linked to both Why that page: Research, not a purchase. A product page answers this badly and ranks for it badly. What the page has to answer: The decision itself, honestly, with links to the range it applies to.

Illustration of three buying guides, each linking into the collection it explains, and one regional catalogueGuides that link into the catalogueHow to choose trail shoes3 links, all inside the textTrail collectionFit guide for wide feet2 links, both to the filtered pageWide-fit collectionSizing: UK, EU and USOne page per market, hreflang setRegional catalogueEvery guide points at the range it explains

One page per intent, and no page competing with itself. Where two pages could answer the same search, one of them is the answer and the other links to it.

THE TECHNICAL WORK

Keep large catalogues discoverable

A catalogue of a few hundred products can generate hundreds of thousands of addresses if nobody decides which ones matter. Filters multiply, pagination strands the deep pages, the same product appears at four URLs, and discontinued lines are deleted along with every link they earned. A shopper walking the store never sees any of that, and a crawler working through it sees almost nothing else, which is why a range that looks complete on screen can be half-reachable in search.

Faceted navigation

What we do about it: Decide which filter combinations deserve a crawlable, indexable URL and which exist for shoppers only. The combinations that earn a page get one, with their own copy; the rest are blocked from crawling, so a catalogue of forty products cannot generate forty thousand near-identical addresses.

Pagination

What we do about it: Keep page two onwards reachable through real links, keep each page self-describing, and never point a whole series at page one with a canonical tag. Products that only exist on page nine are products nothing can find.

Canonical rules

What we do about it: One address per product, whichever route a shopper took to reach it. Sort orders, tracking parameters and color variants all resolve to the page that should be ranking.

Illustration of four catalogue rules: which filter combinations get a page, pagination, canonical addresses, and out-of-stock productsIndexable filters, clean rulesFaceted navigationSize and width get a page; the rest are blockedPaginationPage two onward stays crawlable and self-describingCanonical rulesOne address per product, whichever route got thereOut of stockThe page is kept, with the date it comes backForty products, not forty thousand addresses

Out-of-stock and discontinued products

What we do about it: A decision per product: keep the page and say when it returns, replace it with the successor, or redirect it to the collection. Deleting the page throws away every link it earned and every search it already answered.

Internal links

What we do about it: Connect collections to the products inside them and to the guides that explain them, so the pages deep in the catalogue are not three unlinked clicks away from anything.

Out-of-stock product decisions connected to collection, product and buying-guide links Keep useful catalogue paths intact OUT OF STOCK Keep, replaceor redirect SUCCESSOR PAGE Preserve relevanceand earned links Internal links keep deep products reachable Collection → Product ↔ Guide

These five are the ones we check first on a large catalogue. Which of them is your problem depends on the platform and the size of the range, so the audit comes before the work.

A FEW THINGS YOU MAY BE WONDERING

Good questions. Clear answers.

How do you prioritize collection and product pages?

Collections first, since they catch the category searches that lead to browsing, then products with real demand, stock and margin behind them. A catalogue of thousands needs nothing like thousands of optimized pages.

How do you handle filters and discontinued products?

Filter combinations people genuinely search become real indexable pages; the rest stay out of the index. Discontinued products are redirected to the closest alternative rather than left as dead ends.

Is Shopify SEO a separate service?

The strategy is shared, but Shopify’s platform constraints have their own scope and their own page. If your store runs on Shopify, that is where the technical detail lives.

How much does ecommerce SEO cost?

Catalogue size, how much technical foundation needs repair and how much collection content has to be written set the figure. A 200-product store and a 20,000-SKU catalogue are different engagements.

YOUR NEXT CHAPTER

Let’s make your next move count.

Tell us the products worth growing and what they earn after returns. We’ll tell you where the demand actually is.

A free strategy call. A practical conversation about your business.

Prefer to send a message? →

Open booking in a new tab ↗