Ecommerce CRO Agency

An ecommerce CRO agency for stores that already sell

Same traffic. More orders. Bigger baskets.

An ecommerce CRO agency built around stores rather than landing pages. We find where the money leaks across collection, product, cart and checkout, fix what needs no test, and test the rest on live traffic against revenue per visitor.

  • 01Drop-off measured stage by stage, on orders rather than sessions
  • 02Shopify, WooCommerce, BigCommerce, custom, headless
  • 03Tests scheduled around peak trading, with rollback ready
  • 04Reported on revenue per visitor, losses included

Start with a free store audit

Free

Tell us the store, the platform and the stage you think is leaking. Within 24 hours: where the funnel drops off, what to test first, whether your order volume supports testing at all, and an exact quote. Not selling products? See landing page optimization.

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24hfree store audit turnaround
6 stagesmapped, collection to post-purchase
95%confidence before a win is called
Every testreported, losses included
The difference

What an ecommerce CRO agency actually does

Gets more visitors to buy, and to spend more, across several funnel steps rather than one conversion event. The general method sits on our conversion rate optimization services page: research, statistical standard, reporting. This page is what changes once there is a catalogue and a checkout in the way.

Four page types, four failures

Collection, product, cart and checkout break for different reasons. One set of best practices fixes none of them properly.

A checkout you part-own

Your control ends where the platform's begins. We tell you what is out of reach before you buy, not in month two.

Seasonality and repeat buyers

Peak weeks and returning customers skew a result badly. They change what you test, and when you are allowed to test it.

Fit

Who this is for, and who it is not

Stores with steady traffic and orders, where two or three percentage points is worth real money each month. Usually operators already buying traffic through ads or ecommerce SEO as acquisition costs climb.

A good fit

Enough completed orders each month to read a result, a catalogue that is not rebuilt weekly, and theme or admin access we can work in.

Too early

Few orders, a replatform in flight, or a store whose growth is coming from discounting. Test results there look confident and do not survive the next quarter.

A different job

One page fed by paid clicks is landing page optimization. If traffic itself is short, that is paid search and SEO first.

The floor is honest: significance depends on completed orders, not sessions. Below that line we run audit-led sequential fixes until volume supports testing, and we say which you are in the free audit rather than after the invoice.

Casino and iGaming is the agency's specialism and it is not this page. There the funnel is a registration and deposit flow rather than a cart, and every variant is checked against licence terms, geo restrictions and responsible-gambling rules first. More on the casino and iGaming page.

The leak map

Where stores leak money: the six stages we audit

The audit maps drop-off stage by stage, then ranks stages by money lost rather than by percentage. A five-point fall on a stage carrying most of your revenue beats a twenty-point fall on one that carries almost none.

Collection and category

Faceted navigation returning nothing, filters buried behind a tap, a default sort showing the wrong products, and out-of-stock lines occupying the first row.

Product pages

Variants that hide stock, delivery and returns found too late, sizing questions with no answer, trust signals below the fold. First wins usually sit here.

Cart

Shipping, duties and tax appearing at this point kills carts that were already won. Earlier cost disclosure and threshold messaging are the levers.

Checkout

Field count, forced account creation, address entry that fights the local format, and whether the payment methods your market actually uses are offered.

Mobile checkout

Most traffic is mobile and so is most loss. Autofill, tap targets, keyboard types, and wallets that skip the form entirely.

Post-purchase

Confirmation page and order emails are your highest-attention surfaces and usually empty. Tracking, reorder and review prompts belong there.

Speed sits underneath all six, and on a store the cost compounds across every step. Where the fault is in the build rather than the funnel, that is ecommerce technical SEO work and we say so instead of testing around it.

Two levers

Revenue per visitor, not conversion rate

Conversion rate can rise while revenue falls. Discount the catalogue and more people buy at a worse margin. Strip the upsell and baskets shrink. So the primary metric is revenue per visitor, and order value is treated as a lever in its own right.

Merchandising

What the collection shows first, how bundles are framed, where the cross-sell sits, and whether the recommendation block is earning its space.

Thresholds

Free-shipping and gift thresholds move basket size, and the cart is where they have to be visible. The threshold has to pay for itself in margin.

The discount trap

A discount nearly always wins a conversion-rate test. That is why it is judged on margin per visitor, and why a store dependent on it needs a pricing decision rather than a test.

The caution runs the other way too. An upsell that lifts average order value can depress the order rate enough to lose money overall, and a test read on order value alone would call that a win. We agree the primary metric before launch, name the guardrails that can veto a result, and report both.

Foundations

You cannot optimise a store on numbers you have not checked

Ecommerce tracking fails in expensive ways. Purchase events that fire twice on a refresh, transactions counted with tax and shipping in one report and without them in another, refunds left in the totals, a payment gateway that breaks the session and credits the sale to the gateway as a referral.

So the first thing we do is reconcile analytics against your order table, not against the platform dashboard. We tell you the size of the gap and what causes it, and a gap nobody can explain becomes the first finding rather than a footnote.

Where events need rebuilding, that is GA4 implementation work, with Google Tag Manager on the event layer. Quoted separately, and it comes first: running a test programme on numbers that disagree with your accounting is how agencies report uplift that never reached the bank.

What the revenue audit checks

Purchase eventFires once, on completion
Revenue valueTax and shipping handled consistently
Refunds and cancellationsRemoved from totals
Payment gatewaySession survives the handoff
Consent modeEffect on counts known
Internal and bot trafficExcluded
Analytics vs order tableReconciled, gap explained
Platforms

Ecommerce conversion rate optimization by platform

The funnel logic is the same everywhere. What changes is how much of it you are allowed to touch, and that is worth settling before anyone writes a backlog. We do not take on native apps, marketplace listings we cannot instrument, or platforms that forbid testing scripts.

Shopify

Collection and product tests build fast on a theme. Checkout is the honest limit: standard plans expose only the platform's own settings and app blocks, and higher tiers open more.

Shopify SEO →

WooCommerce and WordPress

Our home ground. Cart and checkout are yours to change, which keeps the deepest and most expensive part of the funnel testable.

WooCommerce development →

BigCommerce and custom

Both workable. On bespoke or headless stacks your developers implement, so we specify: annotated designs, copy and acceptance criteria they can build from.

Testing

What a store test costs, and when not to run one

A store test is priced in completed orders rather than sessions, and the sample-size arithmetic behind that sits on the CRO hub.

A store that could prove a large change inside a month may need most of a year to prove a small one, so the sizing question is how small a change this store could prove before the season turns.

Sometimes a test is simply the wrong instrument. A broken validation message on mobile, a shipping cost that renders blank, a payment method missing in your biggest market: those are defects, and nothing is gained by leaving half your buyers on the broken version. Legal, consent and accessibility changes ship regardless. So does anything you intend to ship either way.

When the orders are not there, we fix defects first, decide the rest on evidence that needs no volume, and measure higher up the funnel where add-to-carts and checkout starts far outnumber purchases. Those are leading indicators, not revenue, and the confounders go next to the number instead of being called a lift.

Before launch

Staged and checked

Each variant is built on staging or a preview theme and checked on the devices your buyers actually use.

Launch day

You see it first

Nothing goes live on a revenue page until you have reviewed it. Traffic is ramped rather than switched.

While running

Rollback ready

Orders, errors and Core Web Vitals checked daily on real user data. One-click rollback exists before launch.

Scheduling

Around peak trading

Tests are planned around Black Friday and seasonal peaks, because peak buyers behave nothing like the rest of the year. Each one runs two full trading cycles, meaning two complete week-on-week patterns outside a promotional peak.

The store testing standard

Primary metricRevenue per visitor
Guardrail metricsNamed before launch
Sample sizeCalculated in orders
Minimum run timeTwo full trading cycles
Significance threshold95% confidence
An early leadNot a reason to stop
Post-hoc segment cutsNever a win
Guaranteed upliftWe do not quote one
Reporting

What lands in your inbox after each experiment

Each experiment ends in a one-page record: the hypothesis, screenshots of control and variant, the primary metric with its guardrails, orders and revenue per variant, and the call. Experiments that changed nothing are documented in the same detail, because a flat result narrows the next one.

Everything traces back to sources you control. Behavioural numbers come from your analytics property and your testing tool; the revenue line has to tie out to your order table. Where it does not, the difference is treated as a tracking defect and chased before anyone acts on the result.

The monthly view is a backlog view: which experiments closed, which changes are now permanent in the theme, which were pulled, and what stands next in the queue. No headline percentage without the order counts underneath it, and no quiet omission of the rounds that failed.

In every store engagement

Tracking and analytics auditIncluded
Funnel drop-off by stageIncluded
Session recordingsLeaking stages
Hypothesis backlogRanked, expected impact
Test buildWe build, or we specify
Reporting per testNumbers and revenue impact
Audit findingsFree, within 24 hours
Pricing

What ecommerce CRO costs

Two shapes, and we tell you which your store needs rather than selling the larger one. A scoped audit-and-fix project is fixed work with a defined end: tracking audit, research, a ranked backlog, an agreed round of fixes. An ongoing programme keeps tests running.

Four things move the number: catalogue size, platform, how many funnel stages are in scope, and whether we build or specify. Analytics rebuilds and heavy development are quoted separately, because bundling them hides what you are actually paying for.

No retainer to begin, no long-term contract, no notice period. Your exact quote comes back with the free store audit, together with a straight answer on whether your order volume supports testing.

A boutique team, seniors only

Find out where your store is losing orders

We are a small senior team by design. Nobody learns experiment design on your store, nobody sits between you and the person reading your funnel, and we do not pretend to enterprise capacity. A limited number of accounts run at a time, so sometimes the answer is not this quarter. More about the agency behind the work.

Send the store URL, the platform, and roughly how many orders you take in a month. Within 24 hours you get the drop-off picture stage by stage, the leaks worth attacking first, a verdict on whether your order volume can carry a valid test, and an exact quote. Where it cannot, the audit lists the fixes that need no test at all. Rather email? Talk to us.

Common questions

Fair questions, straight answers

What does an ecommerce CRO agency do?

Researches where a store loses buyers, ranks those leaks by money lost, then fixes or tests them across collection, product, cart, checkout and post-purchase. The output is measured changes to revenue per visitor, not a redesign or a list of best practices.

What is a good ecommerce conversion rate?

No benchmark is worth acting on and we will not quote one: it moves with category, price point, device and traffic source. Watch your own, split by source and device, each segment against its own history.

How many orders per month do I need for A/B testing to work?

Significance depends on completed orders, not sessions, so a small store with high order values can sometimes test where a busier one cannot. The threshold also depends on the smallest change you would act on, because a smaller effect needs far more orders to prove.

Can you guarantee more revenue?

No. Any agency quoting a revenue lift before it has seen your order data is guessing at your margins. Experiments come back flat often enough that a guarantee would be dishonest. What is fixed instead is the method, and the store testing standard above sets it out in full.

How much does ecommerce CRO cost?

Two shapes: a scoped audit-and-fix project with a defined end, or an ongoing testing programme. Catalogue size, platform, stages in scope and whether we build or specify move the number. Analytics and heavy development are quoted separately. No retainer, no long-term contract, exact quote with the free store audit.

Do you work with Shopify?

Yes. Collection and product tests build quickly on a Shopify theme. Checkout is the constraint, since standard plans expose only the platform's own settings and app blocks while higher tiers open more. We also cover WooCommerce, where the whole checkout is yours, plus BigCommerce and headless.

Will A/B testing slow my store down?

Any testing script adds weight and we will not pretend otherwise. We use one lightweight snippet, loaded early to avoid flicker, never a stack of tools, and watch Core Web Vitals on real user data throughout. When a test ends the winner is built into the theme.

How do you handle seasonality and peak trading?

Tests are scheduled around Black Friday and seasonal peaks rather than through them, because peak buyers behave nothing like the rest of the year and a result read across the boundary is not portable. Minimum run time is two full trading cycles for the same reason.

Can you fix attribution so I know which channel converts?

We can fix the measurement layer: purchase events firing once, revenue values consistent, refunds excluded, and the session surviving the payment gateway. That is GA4 implementation work, quoted separately. Cross-device and post-consent attribution will still be modelled rather than exact, and anyone claiming otherwise is selling something.

Do you implement the changes or just send recommendations?

Implementing is standard for stores: we build the variant, check it on staging, and you review before live traffic sees it. That needs theme or admin access. Otherwise your developer receives annotated designs, copy and acceptance criteria.

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