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A person arranging sticky notes in a funnel shape on a wall beside a laptop at a sunlit desk.

Conversion Rate Optimization Measured Against Real Revenue.

More orders from the traffic you already pay for. The difference here is the measurement: the funnel and the orders are the same database, so a change is judged against money rather than against an analytics tool's opinion of what a conversion was.

Where It Leaks

In funnel order. Most engagements find the biggest number in the first two, which is not where anybody expects to look.

Arrival

The Wrong People

A conversion problem is often an acquisition problem wearing a disguise. Attribution says which source brings visitors who buy and which brings volume that never intended to, and the cheapest fix is sometimes to stop paying for the second one.

Browse

Nobody Reaches The Product

Top pages and click detail show where attention actually goes, including the outbound links quietly sending people off your site from a page you thought was working.

Cart

Added, Then Nothing

Adding to cart is a real event here rather than an inference, so the gap between carts created and checkouts started is a number you can watch move rather than a guess from two systems.

Checkout

Started, Not Finished

The purchase funnel runs landing to checkout success, counting unique people at each stage. A stage that loses half its visitors is visible rather than deduced.

Device

Broken On A Phone

Device, browser and operating system splits, which is usually how a checkout that fails only on one mobile browser gets noticed, months after it started.

Recovery

Left, Never Followed Up

A stalled checkout can start a flow within minutes rather than appearing in tomorrow's export, which is the difference between recovery and a postmortem.

The Data Is Yours, Which Changes It.

Most CRO runs on a third-party script that sees a fraction of your visitors, gets blocked for some of them, and holds its own idea of what a conversion was. Then somebody reconciles that against the store’s order list and picks whichever number tells a better story.

Here the events and the orders are tables in one database. There is one number, and it is the one accounting would recognise.

And The Fix Can Fire Itself.

Finding the leak is half a job. The other half is that a stalled checkout, a failed payment or a variant coming back in stock can each start a flow within minutes, from the event itself.

Recovery that runs tomorrow morning off an export is not recovery. It is a postmortem with a discount code attached.

What This Service Does Not Include

CRO is the service where the client is measuring you by definition, so the limits belong on the sales page rather than in the first invoice.

Not built in

Split Testing

There is no experiment framework here: no variant assignment, no significance maths. PostHog connects and does that properly, so tests run there against this funnel.

Not built in

Session Recordings

Also PostHog. Watching a session is genuinely useful and it is not something this platform pretends to do.

Not promised

A Percentage

No engagement here comes with a number attached to it in advance. What comes with it is the work and a way to check the work.

Questions People Ask

What is ecommerce CRO?

It is the work of turning more of the traffic you already have into orders, by finding where people leave and fixing it. It is usually cheaper than buying more traffic, because the visitors are already arriving and already paid for. It is also easier to lie about than most services, which is why the measurement matters more than the ideas.

Do you run A/B tests?

Not on this platform, and it is worth being blunt about that. There is no built-in experiment framework: no variant assignment, no significance calculation. PostHog connects as a provider and does experiments properly, so split testing runs there. What lives here is the funnel, the events and the revenue those tests are measured against, which is the half most testing tools do not have.

How do you know a change worked?

Because the traffic and the orders are the same database. A conversion is a typed event carrying a value, so a change is measured against revenue rather than against a proxy for it. Most CRO reporting compares an analytics tool's idea of a conversion with a store's idea of an order and hopes the two are close.

How long does it take to see a result?

The technical faults, meaning the broken mobile checkout and the step nobody can complete, tend to move numbers within days because they were never a preference problem. Everything else needs enough traffic to be sure, which on a smaller store can be weeks. Anyone promising a percentage in a month is quoting a feeling.

Do you need to rebuild my store to do this?

No. Most of the work is changes to pages that already exist, plus the automations around them. A rebuild is a different service and it is worth being suspicious of a CRO engagement that begins by proposing one.

Does this only work if I am on your platform?

The analysis is much better if you are, because the funnel and the orders are the same records rather than two tools agreeing approximately. On another stack we can still do the work, but the measurement comes from whatever you already run, and that is usually the weakest part of the engagement rather than the strongest.

Start With Where It Leaks.

The first pass is reading your funnel and telling you the three places money is going. That conversation costs nothing.