How to measure whether a product slider sells anything

You have probably read that sliders kill conversions. You may also have read a case study saying that one lifted sales. Most of that evidence comes from one site at a time, and from people with something to sell, ourselves included. Here is how to find out for your own shop.

What the published evidence looks like

It is thin. Orbit Media's research roundup collects a lot of negative findings, most of them about big rotating home page banners. VWO published a test where a static image beat a slider for one Swedish shop. On the other side you will find vendor case studies with positive numbers. None of these is a controlled study of a product row across many shops, and they mostly test a different thing, the hero banner with slogans.

We will not quote percentages here, and we do not have any of our own. A row of products with prices you can buy from is not the same as an advertising banner, and may behave differently. Nobody has shown that either way in general, so you need your own data.

Decide what you are asking

Clicks alone are not the answer, as a slider can collect clicks while people buy less. Pick one main number first: orders per visitor, or revenue per visitor, on the page or in the session. Then keep an eye on click rate per slide (the first slide usually collects most of them) and on average order value.

Count what happens in the slider

With Google Analytics 4 the standard ecommerce events are view_item_list, select_item and add_to_cart, each with an item_list_name. Give each slider its own list name. Your analytics plugin may send those already, so look before adding any. If you would rather not set that up, our Pro version counts views, clicks, add to carts, orders and revenue per slider and product in the WooCommerce admin. It stores daily counts, not visitors, and it credits an order to a slider when its product was clicked or added there in the seven days before. That is a rule, not a truth, so treat it as an upper estimate.

Compare with something

A count tells you what the slider got, but not what would have happened without it. A person who bought after clicking might have bought anyway. So compare. The clean way is an A/B test: half of visitors see the slider, half see a static block or nothing. If you have too little traffic, try before and after, keeping seasons and campaigns in mind, and accept that it is weaker evidence.

Run it long enough

Stopping when the graph looks good produces false wins. Decide the duration in advance, include at least two full weeks so weekdays even out, and use a sample size calculator with your real conversion rate. A small shop may find it cannot detect anything short of a large difference, and that is worth knowing too. In that case, decide on other grounds: is the page easier to use with the slider or without it?

Test the boring things first

Before you compare transitions, compare the products in the slider, and where it sits on the page. Whether it autoplays. Whether the price is visible without a hover. An effect is what makes people want to touch the slider, but the products and the prices in it are what make them buy.