What is add-to-cart rate?
Add-to-cart rate is the share of product page views that result in an item being put in the cart, which measures how convincing the product page itself is.
Formula
Add-to-cart rate = add to cart events ÷ product page views × 100
Worked example, not a result
Finding the product page that is losing people
Say a store records 14,000 product page views in a month and 980 add to cart events. Add-to-cart rate is 7 percent across the catalogue.
Then look at one product on its own. It takes 2,600 of those views, more than any other item, but produces only 62 adds, which is about 2.4 percent. Traffic is finding it and the page is not closing it.
That single split turns a vague worry into a specific job. On a page like that, the usual suspects are worth checking in order: whether the price on the page matches what the ad promised, whether the images show scale and detail, whether the variant the buyer wants is out of stock, whether the delivery cost and timing are visible before the button, and whether the page loads before a phone user gives up.
The numbers above are invented for the example. The method of comparing one product against the catalogue average is the part worth copying.
Why it matters
Add-to-cart rate breaks the conversion lever into two halves and tells you which half is broken. If people add to cart at a healthy rate and then do not buy, the problem is in the cart and checkout: shipping cost, payment options, account walls or delivery timing. If they never add at all, the problem is on the product page and no checkout work will fix it.
That distinction changes what you spend the next month doing, which is why it is worth measuring before deciding anything about conversion.
It also protects the visitors lever from being blamed for a site problem. Ad campaigns get paused all the time for poor performance when the real fault is a product page that never persuaded anyone. Reading add-to-cart rate by landing page separates traffic that was never going to buy from traffic the page failed to convince.
Common mistakes
- Measuring against sessions rather than product page views. Plenty of visits never reach a product page, and including them produces a rate that looks bad for reasons that have nothing to do with the page.
- Ignoring products that are out of stock in the popular variant. The page still collects views and cannot collect adds, which drags the catalogue average down for a stock reason, not a persuasion reason.
- Counting quick view or mini cart interactions inconsistently. If some themes fire an add event on hover or on a variant change, the rate is inflated and the drop off later looks worse than it is.
- Treating a low rate as proof the price is wrong. Missing delivery information, thin images and unanswered sizing or compatibility questions cost more adds than price does on most stores.
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