Wall & FifthStart a conversation
Wall & Fifth

Ecommerce conversion optimisation. Find where revenue is leaking. Fix it.

The average ecommerce store converts between 1% and 3% of its traffic. The difference between 1% and 3% is not a traffic problem — the same visitors are arriving. It is a conversion problem: specific friction points in the funnel that are turning interested customers into abandoned sessions. Wall & Fifth finds those points and eliminates them — systematically, with measurable commercial impact.

£3k / month

Starting retainer

3–4 maximum

Clients at any time

12+ internally

Ventures built

No lock-in

Commitment

The conversion gap

Between 97% and 99% of ecommerce visitors do not buy. Some of those visitors were never going to buy — they were browsing, researching, or arriving by accident. But a significant proportion of them were genuinely interested and left because something in the store's experience gave them a reason not to commit. Those are the lost customers that conversion optimisation recovers.

The gap between a 1% and a 3% conversion rate on the same traffic volume is a 3x revenue difference. Doubling traffic to compensate for a poor conversion rate doubles acquisition cost. Fixing the conversion rate produces the same revenue increase at zero additional acquisition spend. For most ecommerce stores, conversion improvement is the highest-return investment available.

Where ecommerce funnels typically leak

Ecommerce conversion loss concentrates at predictable points in the funnel. The highest-impact are:

  • Homepage to collection — visitors who cannot quickly identify the product category they are looking for. Navigation that does not match how customers think about the category produces high bounce rates from the homepage.
  • Collection to product page — product card design that does not differentiate between products quickly enough, producing low collection-to-product click-through rates.
  • Product page — the most commercially important leak point. Insufficient trust signals, unclear sizing or specification, buried social proof, and a CTA that is not prominent enough on mobile all contribute to product page abandonment.
  • Add to cart — customers who added to cart but did not complete purchase. Usually caused by hidden costs, friction in the cart UI, or second thoughts triggered by a poor cart page experience.
  • Checkout — unexpected shipping costs, required account creation, a multi-step process that feels too long, or a payment page that creates security doubt.

Trust at the product page

The product page is where the purchase decision is made — and where trust is either established or absent. Ecommerce trust operates at multiple levels simultaneously, and each level needs to be addressed:

Product trust: is this product what I think it is? Is the quality what it appears? Will it fit? This is addressed through imagery quality, honest size guidance, and product descriptions that answer the specific questions the category generates.

Brand trust: is this a real company? Will they fulfill the order? What happens if there is a problem? This is addressed through clear contact information, a visible returns policy, delivery time information, and social proof from real customers.

Transaction trust: is it safe to pay here? This is addressed through recognisable payment method logos, secure checkout indicators, and a payment page that does not look different to the rest of the store.

Each trust layer has to be designed deliberately — positioned where the customer needs it, not where it fits conveniently in the layout.

Cart and checkout abandonment

Cart abandonment rates average 70% across ecommerce — meaning seven in ten customers who added something to their cart did not complete the purchase. The primary causes are known and consistent: unexpected shipping costs (the single biggest cause), required account creation, a checkout process that feels too long, and security concerns on the payment page.

Each cause has a specific fix. Unexpected shipping costs: surface shipping information on the product page and in the cart before the checkout. Required account creation: offer guest checkout as the default, account creation as an optional post-purchase step. A checkout that feels too long: consolidate to a single page or minimal steps, use progress indicators where multi-step is unavoidable. Security concerns: consistent brand treatment through the payment step, recognisable payment logos, SSL indicators.

How we work

We audit the full conversion funnel — from arrival to post-purchase — using whatever analytics data is available combined with expert review. We produce a prioritised improvement plan ordered by revenue impact and implementation effort. We implement the changes and measure the effect. For stores on an embedded partner retainer, this is an ongoing programme.

What you get

  • Full funnel conversion audit — arrival to post-purchase
  • Prioritised improvement plan — revenue impact vs effort
  • Product page trust signal improvements
  • Cart and checkout friction reduction
  • Analytics instrumentation — all funnel events tracked
  • A/B test design where traffic supports it
  • Ongoing conversion optimisation on retainer
The difference between a 1% and a 3% ecommerce conversion rate is not a traffic problem. It is a friction problem. Find the friction, remove it, and the revenue follows.

Frequently asked questions

What conversion rate should an ecommerce store aim for?

The industry average is 1–3%, but the right target depends on the category, the price point, and the traffic source. High-ticket items convert at lower rates than low-ticket items — a 0.5% conversion rate on a £2,000 product is commercially very different to a 0.5% rate on a £30 one. We set targets based on the specific store's category benchmarks and price point, not generic industry averages.

How do you identify where the funnel is leaking without a full analytics setup?

Expert review identifies the majority of high-impact conversion problems before analytics confirms them. The broken trust signals, the confusing variant selectors, the checkout friction — these are visible to an experienced eye without needing statistical significance. Analytics accelerates prioritisation; expert review surfaces the issues. We work with whatever data is available and recommend the tracking that should be added.

What is the fastest conversion improvement for most stores?

Product page trust signals — specifically customer reviews, clear returns policy, and delivery information — positioned above the fold on the product page rather than buried further down. For most stores, this is a straightforward change that produces a measurable conversion uplift within weeks. It is also frequently the change that has the most impact relative to its implementation effort.

Should we run A/B tests?

Where traffic volumes make A/B testing statistically meaningful within a useful timeframe, yes. Most ecommerce stores below significant traffic volumes cannot produce statistically significant A/B results in under six to eight weeks per test. In those cases, expert review and rapid sequential implementation — make a change, measure the effect, iterate — produces faster improvement than waiting for test significance.

How do you improve conversion on product pages specifically?

The highest-impact product page improvements are typically: moving social proof above the fold, making the primary CTA unmissable on both desktop and mobile, surfacing shipping cost and delivery time before the customer adds to cart, improving imagery with lifestyle shots alongside product-only shots, and adding a size guide or fit information that reduces size-uncertainty abandonment. These are rarely design-heavy changes — they are hierarchy and information changes.

Find the leaks. Fix the funnel.

Tell us about the store and where you think conversion is falling short. We will tell you what is fixable and what the impact will be.