Conversion Rate Optimisation Audit

Your dashboard says fine. Your signups say otherwise.

We find the failures your monitoring calls healthy — proven with evidence, ranked by what they cost you.

Fixed scope and fee
Every finding reproduced
Ranked by revenue impact
Fixes quoted separately

A real example

Six weeks. Every ad click. No alarm.

This one is ours, on our own product — so we can give you the exact numbers rather than a sanitised client story.

What it looked like

Signups had flatlined. A search campaign had spent £140.51 across 136 clicks and produced 2 conversions. Every instinct said the ads were bad or the traffic was weak.

What the monitoring said

Green. API healthy, every process up, zero server errors across 2,677 requests, empty error logs. Nothing anywhere suggested a fault.

What was actually happening

The signup endpoint expected one field as text. The site was sending it as a number. Every visitor arriving with a campaign tag — which is every paid ad click — was rejected at the final step of registration. Deterministically, starting one day after the campaign launched.

Why nobody saw it

The framework logged the rejection without recording which field failed. Visitors without a campaign tag signed up normally, so the funnel looked alive. Found by correlating access logs, email delivery, the user database and ad spend — then reproduced to prove it.

What you get

Evidence, not opinions.

Every finding arrives with the steps to reproduce it, so you can verify the work rather than take our word for it.

Your conversion path, walked end to end

Signup, checkout or enquiry form, tested the way a customer meets it — including from a paid ad click.

Server logs joined to ad spend

We correlate access logs, analytics, ad platform data and your database, because the truth usually sits between them.

Every finding reproduced

No fix ships on a theory. We reproduce the failure first, then prove the fix, then prove nothing next to it broke.

Ranked by money, not severity

A scary-sounding issue nobody hits ranks below a quiet one costing you every ad click.

What we checked and found clean

So the report is an honest picture, not a scare sheet.

The blind spots closed

We leave your logging able to name the next failure without us.

How it works

We start from the money and work backwards.

You point at the symptom

Ad spend without conversions, traffic without signups, a number that stopped moving. One line is enough.

We follow the evidence

Logs, analytics, spend and code, correlated. We work back from the commercial symptom into the stack.

Proof, then repair

You get the reproduction steps for every finding, ranked by what it costs you, and a fixed quote to fix them.

After the audit

Maintenance that watches the funnel.

One-off audits find today's problems. The fault in our example arrived in an ordinary feature deploy — so the useful question is who is watching next Tuesday.

Scheduled health sweeps

Regular automated checks across your application, conversion funnel, ad spend and infrastructure — testing whether things worked, not merely whether they responded.

Triage with a conclusion

Anomalies come to you as a finding with evidence, not another alert to dismiss. Maintenance is included, so what we find gets fixed rather than filed.

A monthly account

What changed, what broke, what we fixed and what to watch. Cancellable on notice — we would rather be kept because the service is good than because leaving is hard.

Built on platforms you already trust

FAQ

Fair questions.

How is this different from a normal CRO audit?

Most conversion rate optimisation work tests the things you can see: headlines, button colour, page layout, form length. That is useful, and it assumes the page underneath actually works. We check that assumption. If your form is rejecting a segment of visitors before anything renders, no amount of copy testing will find it.

How is it different from a code review or penetration test?

A code review finds code that looks wrong. A pen test finds what an attacker could do. Neither is designed to find working, well-written code that is quietly costing you money. That is a different search, and it starts from your commercial numbers rather than the codebase.

What if you find nothing?

Then you get a written account of what was checked and found clean, which is a real result if you have been paying for traffic and wondering. We would rather tell you the funnel is sound and the problem is upstream than invent findings to justify the fee.

Do you need access to our production systems?

We need read access to logs and analytics, and ideally the codebase. We can work from exports if your security policy requires it. Nothing is changed without your say-so, and remediation is quoted separately so an audit never turns into an open-ended bill.

Can you fix what you find?

Yes, as a separate quoted piece of work. Fixes are applied on a branch, verified in production with before-and-after evidence, and we add the tests or logging that would have caught the problem earlier.

Why would a broken signup not show up in our monitoring?

Because most monitoring answers "did the server respond?" rather than "did it respond correctly?". A validation rejection is a perfectly normal, successful HTTP response as far as uptime tooling is concerned. On our own product this exact gap hid a fault that blocked every paid ad click for six weeks.

Book your audit

When it last broke, who told you?

A dashboard, or a customer? If it was a customer, that is the gap this audit closes. Send one line about the number that stopped moving.

0330 043 7414 · hello@nerdster.ai · Mon–Fri 9–5:30

Book your conversion audit

Tell us which number stopped moving and we'll come back within one working day.