Data you do not need makes your analysis worse, not better

Web analytics often becomes a race for more: more events, more dashboards and more metrics, as though every additional number created greater control.

In practice, the opposite is often true:
The more you measure without a clear reason, the less you understand.

The ‘more is better’ fallacy

Just because something can be measured does not mean it should be.

A crowded tracking setup may look sophisticated until you realise that you collect almost everything and use almost none of it.

The result is predictable: Teams debate scroll depth and button colours while missing the real issue. The problem may not be the optimisation at all, but the offer itself.

What data can tell you when you use it well

Data becomes useful when it answers a question. Start with questions that can change a decision:

• Why do users leave at this point?
• Which channels attract buyers rather than visitors alone?
• Which keywords lead to conversions, and which merely produce traffic?

With those answers, you can improve landing pages, adjust the Funnel , simplify forms or reallocate budget. That is the familiar side of analytics.

Sometimes, however, the data points to an answer that teams are reluctant to discuss.

The product may simply be the problem.

If plenty of users arrive, explore the page and still take no action, another tracking event will not solve it.

The value may be unclear. The buying motivation, trust or underlying demand may be missing.

In that case, the analytics report is not a control panel. It is a warning.

That is precisely why web analytics matters: not because it reveals another place to encourage a click, but because it helps determine whether anyone wants to click in the first place.

SEO: visibility is not the same as relevance

Businesses often invest in detailed articles designed to attract as many visitors as possible. 

In the best case, the keyword has search demand, the results are not already saturated and Google's AI answer does not remove the need to click. Even when all of that works, the outcome is often the same:

Traffic rises, but conversions conversions do not.

A simple misunderstanding is usually responsible. 

Take our own market as an example: Someone searching for ‘What is a session cookie?’ is not necessarily looking for an analytics product or ready to replace their current tool with ours.

If your strongest content attracts the wrong visitors, reconsider the keyword strategy rather than publishing more of the same. 

SEO is not a contest for maximum visibility.

Its purpose is to reach the right users with the right intent . 

Sometimes, less really is more.

What web analytics can and cannot do

Data can show where users leave, what they click and how long they stay.
It can reveal friction in the funnel and show which content supports the journey.

It cannot tell you whether the product is genuinely good, whether people feel its value or whether they trust the business. It can provide evidence, but the judgement remains yours.

So which data is actually useful??

The honest answer is simple: data that helps you make a decision.

Consider these examples:

1. Behaviour around conversion goals

If many people reach a product page but few click ‘Buy now’, you have a meaningful signal. The call to action may be hard to see, the price may cause hesitation, trust may be missing — or the product itself may not be compelling.

➡ What you can optimise: Layout, content, calls to action and trust signals
➡ Business decision: Invest in user experience, content or the product itself

2. Performance by acquisition channel

If organic-search visitors stay longer and convert more often than paid-social visitors, that can inform where you invest. Examine the entry journey too: do articles contribute to conversions, and are they the first touchpoint or a later step in the funnel?

➡ What you can optimise: Channel mix, campaign budget and SEO strategy
➡ Business decision: Invest more in sustainable channels and reduce wasted reach

3. Abandonment at critical steps

Do users repeatedly leave during the second checkout step? The process may be too long, delivery charges may appear too late or mandatory account creation may create unnecessary friction.

➡ What you can optimise: Checkout flow, transparency and technical simplification
➡ Business decision: Involve the product team and allocate resources for the necessary changes

4. Identifying technical barriers

If 20% of mobile users cannot complete a form because it fails to load correctly, that is more than a usability issue: it is revenue lost to a technical defect.

➡ What you can optimise: Responsive design, form validation
➡ Business decision: Prioritise the technical fix and involve an agency or development team if required