01 · Online stores

Online stores

In e-commerce, speed is revenue.

Every second of load time on a product page is measurable in abandoned carts.

Direct answer

We build online stores where product pages are fast and indexable, checkout is short, and analytics is connected to real orders rather than to page views. Platform choice follows from catalogue size and integrations, not from habit. Ongoing visibility is handled through e-commerce SEO.

Diagram of Online Store Development: catalogue structure, platform choice, speed budget and checkout
Online stores built for speed, indexable product pages and a checkout that does not lose the sale, with tracking wired to real orders from day one.

What is included

What is included

  • Catalogue structure
  • Checkout
  • Order tracking

02 · Detail

Where stores lose money.

Checkout length is the most direct cause. Every additional field, every forced account creation, every unexpected cost revealed late costs a measurable share of completed orders. Shipping cost shown only at the final step is the classic version of this.

Product page speed is the second. Stores frequently load large uncompressed images and a dozen third-party scripts on the exact page where the buying decision happens.

The third is duplicate content from filters and variants. A store generating thousands of near-identical URLs from colour and size combinations dilutes its own indexing, which is a technical problem with a direct revenue cost.

03 · How it works

How we build a store.

  1. 01

    Catalogue structure

    Categories and filters designed so they can be indexed rather than fought.

  2. 02

    Platform choice

    Chosen from catalogue size, integrations and who will maintain it.

  3. 03

    Speed budget

    Image handling and script discipline agreed before build, not optimised after.

  4. 04

    Checkout

    As few steps as the payment method allows, with all costs shown early.

  5. 05

    Order tracking

    Analytics tied to confirmed orders and revenue, matched against the platform's own reports.

04 · Fit

Who this is for.

It fits businesses selling physical or digital products online who need the store to be found in search, to load fast on a phone and to complete the sale without losing the customer at checkout. That includes first stores, stores outgrowing a marketplace, and stores whose current platform is slow, hard to maintain or impossible to measure.

It fits catalogues of any size, but the constraints change with size. Fifty products and one person managing them need a simple, fast platform; ten thousand items with an ERP to connect need integrations, feed management and filter control from the start. We choose the platform from those facts, not from habit.

It is a poor fit for businesses that have not validated demand yet. Building a full store for a product nobody has bought is expensive proof of concept; a landing page with a payment link tests the same question for a fraction of the cost.

05 · Common mistakes

The mistakes we build against.

  • Long checkouts. Every extra field, forced account and late-revealed shipping cost removes a measurable share of orders.
  • Heavy product pages. Large images and third-party scripts on the page where the decision happens. Speed is designed in, not optimised later.
  • Filters that multiply URLs. Colour, size and price combinations generating thousands of near-duplicates dilute indexing and waste crawl budget.
  • Manufacturer descriptions everywhere. The same paragraph as two hundred other retailers gives search engines no reason to show yours.
  • Analytics tied to page views. Revenue tracking is wired to confirmed orders and reconciled with the platform, so reports agree with the bank.

A store built with these decisions made up front is cheaper to promote and easier to maintain, because the structure does not fight the marketing afterwards.

06 · Measurement

What you own at the end.

The store, the domain and the data in your name, with platform choice documented and the integrations explained. Product pages that index, a checkout that measures, and structured data with accurate price and availability.

Post-launch monitoring for the first month covers indexing, redirects if migrating, order tracking accuracy and Core Web Vitals on the templates that matter most: category, product and checkout.

07 · Questions

Common questions.

Back to all our services.

Next step

Store not converting the traffic it gets?

Send us the URL. We will tell you what is slowing it down and where the checkout loses people.

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