Why Your Ads Get Clicks but No Sales: Finding the Leak in Your Funnel

If Google Ads generate clicks but not enquiries, inspect the landing page before you raise the budget. A 1-point conversion lift on the same traffic often beats buying more clicks. Funnel Mage is Lazige’s verified first-pass diagnosis: from £49 per check, £395 for the full work-up, with a person-led CRO review from £950.

Your Google Ads dashboard can look perfectly healthy while the business gets almost nothing from it.

People are searching. They are seeing the ads. They are clicking. You are paying for every one of those clicks. And then very little happens: no enquiry, no booking, no sale.

When this happens, the instinct is usually to go back into the advertising account. Change the keywords. Try a different headline. Increase the budget. Adjust the audience.

There is another possibility.

The advertising might be working. The website might be where you are losing the customer.

Google recommends that the landing page closely matches what was promised in the advert, makes the next action easy to find, and puts important information where visitors can see it quickly. That gap between the click and the customer is what we wanted to investigate when we built Funnel Mage.

First, look at the maths

Imagine you are spending £3,000 per month on paid traffic. Your average cost per click is £2. That gives you around 1,500 visitors per month.

Same advertising spend. Same traffic. 50% more enquiries from a one-point lift.

This is why conversion rate optimisation can become valuable very quickly. The percentage change sounds small. The business impact is not.

Unbounce’s Conversion Benchmark Report analysed more than 464 million visits, 57 million conversions and 41,000 landing pages. Across the industries analysed, the median landing page conversion rate was 6.6%, although the number varies significantly by sector. SaaS, for example, came in much lower at around 3.8%.

I would not use 6.6% as a target for every website. A £20 purchase, a mortgage enquiry and a £50,000 B2B contract are completely different conversions. But the data makes one thing clear: what happens after the click matters enormously.

Traffic is expensive. Friction is expensive too.

Let’s take another simple funnel.

5,000 ad clicks → 210 enquiries → 9 sales

Those are the example numbers we use inside Funnel Mage. At first glance, you might ask how to get 6,000 clicks instead of 5,000. I would ask something else first: what happened to the other 4,790 people?

Most visitors will never convert. That is normal. But hidden inside that group could be people who were genuinely interested and left because:

• the landing page did not match the advert
• the offer was unclear
• the CTA was difficult to find
• the website looked untrustworthy
• the mobile experience was poor
• the page loaded too slowly
• the form asked too much
• the expected next step was not available
• tracking was missing, so nobody even knew what happened

A team can spend hours refining a Google Ads campaign and then send £5,000 of monthly traffic to a landing page that nobody has properly inspected for six months.

A click is not the finish line

An advert creates an expectation. The landing page has to continue it.

Suppose I search for an emergency physiotherapist and click an advert saying “Book a physiotherapist online in 60 seconds.” I arrive on the website. There is a large photograph. I scroll. There is some information about the clinic. I scroll again. Eventually I discover that there is no online booking. The website tells me to call.

Nothing is technically broken. The advert worked. The page loaded. The phone number exists. But the experience has broken the promise that caused me to click.

Google recommends that the CTA and promise on the landing page closely reflect the advert. If the ad asks someone to sign up, get a quote or book something, that action should be obvious when they arrive. This sounds obvious when written down. It is surprisingly easy to miss on a real website.

This was the starting point for Funnel Mage

At Lazige, a lot of our work sits between CRO, UX, engineering, experimentation, analytics and AI. When we investigate a conversion problem manually, there is a first pass that tends to be quite systematic.

We open the real landing page. We look at what appears first. We check the offer. We find the primary CTA. We compare the page with the advert. We inspect the mobile experience. We look at performance. We check whether analytics and advertising tags exist. We look at competitors. Then we start deciding what actually deserves attention.

It made us wonder how much of that first investigation could be automated — not in the sense of “give an AI the URL and ask it for 30 CRO tips.” That is easy. We wanted to automate the investigation while keeping a much stricter rule:

If we cannot prove a finding on the live website, we do not put it in the report.

That became Funnel Mage.

The problem with most AI audits

Language models are very good at giving advice. Sometimes too good. Ask for a website audit and you can quickly receive recommendations such as: improve your value proposition, add more social proof, make your CTA clearer, reduce friction, improve page speed.

All sensible advice. But did the website actually have those problems? That is harder.

An AI model may misunderstand the page. It may not see something that appears dynamically. It may assume an element is missing. Or it may take a minor observation and turn it into a confident recommendation. The result sounds credible because the language is credible. In CRO, that can be dangerous. A polished but incorrect recommendation still sends somebody off to change the website.

We wanted Funnel Mage to be comfortable saying: we checked this and could not prove that there is a meaningful problem. Sometimes the correct recommendation is to leave something alone.

So we built a five-step filter

Funnel Mage puts every potential finding through the same process.

1. Look — it reads the live pages and collects what can actually be observed: structure, messaging, offers, CTAs, tracking, and public performance data.
2. Check — the potential finding is checked independently against the live website.
3. Check again — a second independent verification. Both checks need to support the finding.
4. Cut — if the evidence is not strong enough, the finding is removed. It does not get softened into vague advice. It disappears.
5. Write and review — remaining findings become a prioritised report, then the completed report is reviewed again.

So there are two independent checks on every finding and five steps before anything reaches the customer. The target is simple: zero unproven claims in the delivered report.

With AI, the challenge is often not generating more output. The useful work is deciding what to delete.

What does Funnel Mage actually inspect?

Funnel Mage currently concentrates on five areas.

Landing page

What does someone actually see after clicking the advert? It looks at the offer, CTA, trust signals and obvious points of friction. One surprisingly useful question is: can I understand what this company wants me to do within a few seconds? If the visitor has to hunt for the next step, that is worth investigating.

Message and offer

Does the page continue the promise that generated the click? An advert might say “Get your quote today.” The website says “Discover our innovative solutions.” Both can be technically correct. The second one has lost the intent that brought the customer there.

Speed and mobile

Funnel Mage pulls performance information from Google and looks at Core Web Vitals:

These are measured at the 75th percentile of page loads. Google has also previously reported that 53% of mobile visitors left a site when loading took more than three seconds. That study is older, so I would not treat 53% as a universal rule in 2026. The broader point still stands: if you are paying for every visitor, a slow landing page is expensive.

Funnel Mage itself currently scores 100 for Performance, Accessibility, Best Practices and SEO on desktop PageSpeed Insights tests, with mobile performance typically around 90. We thought it would be slightly embarrassing to sell a performance check from a slow website.

Tracking

Imagine spending £5,000 every month on advertising and discovering that conversion tracking is missing. You may still receive leads. The business may still make sales. But you cannot reliably connect the outcome back to the traffic that generated it. Funnel Mage includes a tracking check with every report.

Competitors

We look at two or three businesses selling something similar to the same type of customer — not to decide whose website is prettier. Practical differences: clearer pricing, an answered objection, a guarantee, a simpler booking process, stronger evidence, an offer that is easier to understand.

The test case found a very simple problem

While developing Funnel Mage, we built a fictional physiotherapy business called Larkstone Physiotherapy and put it through the complete pipeline.

One of its adverts promised “Book online in 60 seconds.” The landing page did not provide online booking. The primary booking route was a telephone call. You do not need an advanced model to understand the problem once somebody points it out. The difficult part is noticing it among everything else on the site.

The test also identified a large desktop hero image that pushed important content lower on the page. Then it found something potentially more expensive: no analytics or advertising conversion tags were detected.

The resulting priority list was:

1. Reduce the desktop hero image height
2. Install analytics and conversion tracking
3. Align the booking method with the advertising promise
4. Move trust signals higher on the page
5. Carry the urgency from the advert onto the landing page
6. Investigate the desktop layout shift

Notice what is not on that list: redesign the website, create a new brand, use AI personalisation, rewrite everything. The first fixes are relatively boring. That is often a good sign. CRO is frequently less about dramatic redesigns and more about finding the few pieces of friction that are getting in the way — the same pattern we see in person-led CRO work.

Not every leak requires a redesign

If 1,500 people arrive on your landing page every month, you do not necessarily need a £20,000 website rebuild. Maybe the CTA appears too late. Maybe your form asks for 12 fields when you only need five. Maybe your advert promises a quote and your landing page talks about company history. Maybe the mobile page moves while someone is trying to press the button. Maybe the tracking is simply broken.

Fixing one of those can be much cheaper than buying another 1,000 visitors. This is why I like looking at impact versus effort.

A technically valid recommendation is not automatically a useful recommendation. Prioritisation is part of the job.

Funnel Mage is not a replacement for CRO

There are things an automated external inspection simply cannot know. Funnel Mage cannot see your private Google Ads data. It does not know your actual CPC. It cannot see your GA4 funnels, inspect private CRM data, know your margin, watch session recordings unless they are supplied, interview your customers, or reliably decide whether your photography feels right for your brand.

Suppose Funnel Mage finds that a CTA is visible and technically clear. Your analytics might still show that almost nobody clicks it. Now we have a different problem. The external audit tells us what exists. Behavioural data tells us what people actually do. That is where a person-led CRO review goes further. We see the automated report as the first diagnostic layer, not the final answer.

There are really three levels

Level 1: inspect

Look at what can be observed externally. Find obvious leaks. Check messaging, performance, tracking, competitors. This is where Funnel Mage sits.

Level 2: understand

Bring in GA4, advertising data, CRM data, session recordings, heatmaps, customer research, commercial data, and brand context. Now we can understand what real visitors are doing.

Level 3: test

Turn the strongest findings into hypotheses. Build a variant. Run an A/B test. Measure the result. A CRO audit can find a problem. It cannot promise that a particular redesign will increase conversion. The experiment tells you that.

A 1 percentage point improvement can be bigger than it sounds

Go back to the £3,000 advertising example. This is deliberately simplified — real businesses have repeat revenue, lead quality, margins and attribution problems. It still illustrates why I would investigate the funnel before automatically increasing the media budget. A small conversion problem can become a large financial problem once you put enough paid traffic through it.

E-commerce makes the same point even more dramatically

Baymard Institute currently puts the average documented online shopping cart abandonment rate at around 70%, based on dozens of studies. That means a huge amount of commercial intent disappears even after somebody has gone as far as putting an item in their basket. Baymard’s checkout research has also found that roughly two-thirds of desktop and mobile sites in its benchmark provide mediocre or worse checkout UX.

Not all of that abandonment can or should be fixed. People compare prices. They change their minds. They get distracted. But some of it is friction created by the experience itself. That is why the funnel after acquisition deserves as much attention as acquisition itself.

How much does Funnel Mage cost?

Checkout charges GBP in the United Kingdom, EUR in the euro area, or USD everywhere else, at the ECB rate rounded to a 5 or 9.

You do not necessarily need everything. The automated version cannot do everything the person-led review can do. That is exactly why the prices are different. For some businesses, the automated report exposes an obvious problem immediately. For others, it becomes the starting point for a deeper investigation. Both are useful outcomes.

One final check you can do yourself

Before using Funnel Mage, an agency, or any CRO tool, open the landing page you are currently paying to send traffic to — preferably on your phone — and answer these five questions:

1. Within five seconds, do I understand what is being offered?
2. Is the main promise consistent with the advert I clicked?
3. Can I immediately see what I am supposed to do next?
4. Is there enough proof for me to trust this company?
5. Can I complete the next step without unnecessary effort?

If you hesitate on two or three of those questions, it is probably worth investigating before increasing your ad budget.

What we learned building Funnel Mage

The interesting part was not making AI produce a CRO report. That was the easy bit. The harder problem was making it not produce a report when the evidence was weak.

There is already an enormous amount of AI-generated advice on the web. We do not need another system capable of producing 40 plausible recommendations in ten seconds. A more useful system might produce six. Or three. Or occasionally tell you that it could not prove the issue you suspected.

That is why Funnel Mage is built around verification rather than volume. The question we use internally is simple: would we be comfortable putting this finding in front of a client and defending it? If the answer is no, it should not be there.

Funnel Mage is live

You can now run Funnel Mage against a live website. Give it your website and tell it what is going wrong. You can choose individual checks or run the full analysis. It then inspects the funnel, verifies the findings and gives you an ordered fix list with the evidence behind it.

No retainer. No sales call required. And no attempt to pretend an automated report knows things it cannot know.

If your advertising is already generating clicks but not enough customers, I would investigate the journey before buying even more traffic. Because sometimes you do not need more clicks.

You need to stop losing the ones you already paid for.

Funnel Mage is an automated first-pass funnel diagnosis from Lazige. Findings identify evidence of potential friction, not guaranteed conversion improvements. For deeper behavioural analysis and experimentation, combine the report with analytics and a person-led CRO review.