People are looking at the products.
They will not complete the order.
I’ll find out where you’re losing customers between the category stage and the confirmed order. Based on your online shop’s data, not on gut feeling.
Delivery within 5 working days. From 4,900 Kč excluding VAT.Most of the tasks sound like corrections. It’s only once the data is in that it becomes clear what needs correcting.
An online shop doesn’t usually have one major flaw. It has a product catalogue. The catalogue displays the products, but it doesn’t guide the customer, make recommendations or make decisions for them. A shop assistant does exactly that.
The most expensive thing is to repair something that wasn’t broken.
Redesigning an online shop that hardly anyone visits is just as big a mistake as pouring money into advertising for an online shop that fails to convert customers into buyers. Both cost about the same and neither works. The only difference is which way the money has been wasted.
Analysis isn’t about compiling a list of errors. It’s about identifying the underlying problem behind the result. We’ll find out in a few days. Redesigning the online shop takes months.
For it to make sense, there must be something to measure.
This is right for you if
- People visit the online shop via adverts or search engines,
- you’ve set up the monitoring and you know the figures don’t add up,
- You’re planning some changes and want to know where to put them before you start coding.
It won’t suit you if
- You’re just launching your online shop and it doesn’t have any data yet,
- Hardly anyone visits the online shop – so the issue isn’t orders, but visibility.
A finding and an assumption are not the same thing.
Data
In GA4, I’ll trace the journey from entry to order. I’ll see where people drop out, at which stage, on both mobile and desktop, and across both paid and organic traffic.
Behaviour
In Clarity, I look at recordings and maps. The data tells me where; the recordings tell me why.
Department
I will set out separately what the data shows and, separately, what I infer from it. I do not mix facts and opinions.
Priority
I’ll sort the findings by impact and complexity. That way, you’ll know what to do first and what can wait.
Verification
For changes where I’m unsure, I’ll suggest ways to verify them. For larger online shops, this would involve an A/B test; for smaller ones, pre- and post-measurements. A test that runs for three months isn’t worth it, even if it’s free.
Practical background, not general comments.
The deadline is within five working days of the access details being provided. This includes a joint review of the deliverables.
List of findings by impact
For each one: what’s happening, where I can see it, and what to do about it.
Classification by difficulty
What can be adjusted straight away, and what requires more extensive work.
Verification proposal
How to tell if the change has worked when you’re not sure.
Basis for implementation
You can pass the output on to a developer, an agency or an in-house team.
Four things everyone asks about.
After all, we can see it for ourselves in Analytics.
Analytics shows where people are leaving. It doesn’t show why. That part has to be worked out from session recordings and the way the page is structured.
We run an advertising agency.
Right. The agency is dealing with website traffic; this deals with what happens to it on the online shop. The output is written in such a way that she can take it on.
We don’t want to completely revamp the entire online shop.
And you don’t have to. The output is a list of specific areas, not a brief for a redesign. Most of the points tend to involve minor adjustments.
We don’t have the sample size required for A/B testing.
Most online shops don’t have it, and that’s fine. Testing only makes sense once you reach a certain volume of orders; otherwise, the results are meaningless. For smaller online shops, decisions are based on behavioural data and video recordings.
The scope will be agreed in advance.
- Passage through the shopping aisle
- Named weaknesses
- Recommendations on what to tackle first
- GA4 and Clarity Analysis
- Findings sorted by impact
- Proposal for the verification of changes
- Basis for implementation
Prices are indicative. I will propose a specific scope of work based on the size of the online shop; there is no hourly billing.
You’ll probably contact several suppliers.
I’ve drawn up seven questions that you should ask each of them. They’ll help you tell who’s looking for the root cause of the problem and who’s just going through the motions.
Download the questions (PDF, one page) →
(no form required, download straight away)
Send me your online shop. I’ll tell you where you’re losing orders.
All I need is your address and a brief explanation of what seems off about the figures. I’ll get back to you with what I can find out and how much it will cost.
If nothing comes of it, I’ll let you know. This isn’t a binding order.