Ecommerce CRO

A store leaks in a small number of predictable places, and they are almost never the places people redesign. This is the part of our CRO services aimed at product pages, carts and checkout, where a handful of changes can be worth more than a season of new traffic.

Where does a store actually lose money?

At four points, in this order.

The product page, where a shopper cannot tell whether this is the right item, what it really costs delivered, or when it arrives. The cart, where the total suddenly grows. The checkout, where an account is demanded and the form asks for things nobody needs. And the payment step, where the method they wanted is not offered.

Traffic problems look dramatic and are usually slower to fix. These four are mechanical, measurable, and mostly a matter of removing things.

What do you change on product pages?

We answer the questions that stop the add-to-cart.

Delivered cost and delivery date, stated on the page rather than discovered later. Stock status that is true. Sizing, materials, compatibility or whatever the returns data shows people get wrong. Images that show scale and detail rather than five angles of the same studio shot. Reviews that are real, with the critical ones visible, because a page of perfect scores reads as filtered.

Then speed. Product pages carry the most images and the most scripts, and a slow first paint on a phone costs orders before anyone has read a word. That overlaps with the SEO services work, so we do it once and count it twice.

What do you change in checkout?

Each of these is small. Together they usually move more than any test we could run on the design of a button.

Which payment methods should you offer?

The ones your buyers already use, which is a research question rather than a preference.

Cards and mobile wallets are the base. Instalment and pay-later options tend to lift completion on larger baskets, because they change the perceived size of the decision rather than the price. Cash on delivery still carries real weight in markets where card trust is lower, and dropping it to simplify operations can cost more than it saves.

The point is not to add everything. Each method has a cost and a fraud profile. The point is to check what people actually try to use, then stop losing the orders where the answer is no.

Why does mobile decide most of this?

Because most shopping visits happen on a phone.

The landing page research behind our benchmarks found the great majority of visits arriving on a phone, and store traffic behaves the same way. Yet checkouts are almost always reviewed on a laptop, where the form fits, the buttons are comfortable and the keyboard is not covering the field being typed into.

So we review at phone width first, on a real device, on a normal connection. The questions are dull and they decide the numbers: does the keyboard match the field, is the pay button reachable with a thumb, does an error scroll the page somewhere useless, how long does the first screen take to appear.

What about urgency and scarcity?

Real scarcity is fine. Invented scarcity is a liability.

$245M+

A timer tied to a real deadline, a stock count tied to real inventory and a delivery cut-off tied to a real courier schedule are all honest and all useful. A countdown that resets when the page reloads, a spot counter that always says three, and a subscription you cannot cancel without a phone call are the ones regulators treat as deceptive.

There is a commercial argument as well as a legal one. These tactics train buyers to distrust the rest of the page, including the parts that were true.

What about the pages before the cart?

Category pages decide more orders than most people credit them with.

A shopper who cannot narrow a hundred products to five never reaches a product page at all. So the filters have to match how people actually choose, the sort order has to make sense on arrival, and the first row has to load fast on a phone. Where a category has genuine advice to give, a short block of it at the top helps the shopper and helps the page rank.

The other quiet loser is internal search. Someone who types a product name has already decided what they want, so a search box that returns nothing for a common misspelling throws away the most motivated visitors you have. We read the search logs early, because they are the clearest statement of what people wanted and did not find.

What does the process look like?

How do you measure it?

In revenue per session, not in conversion rate alone.

A change can raise the conversion rate and lower the average order value, which looks like a win in one chart and a loss in the bank. So we track revenue per session, average order value and return rate alongside the rate itself, and we watch returns for a full cycle before calling a checkout change a success.

Attribution stays simple: the store's own order data first, analytics second. If the two disagree, we fix the tracking before we argue about the result.

Landing pages for campaigns follow different rules and live on the landing page optimization page, and the testing method is on the A/B testing page. To see how we run this for a team in one of our regional markets, our market page walks through the same process.

How do we start?

Book a free 30-minute consultation for a first read on speed, mobile layout and the conversion basics on your storefront.

If the checkout is where the money is going, book a call and we will scope the work. Plans are flat monthly retainers with starting prices on the pricing page, month to month, and you can stop at the end of any month.