What is conversion rate?
Conversion rate is the share of visits to your store that end in an order, found by dividing orders by sessions over the same period.
Formula
Conversion rate = orders ÷ sessions × 100
Worked example, not a result
One store average hiding two very different stories
Say a store records 24,000 sessions in a month and 456 orders. Conversion rate is 456 divided by 24,000, which is 1.9 percent.
Split that by device and the single figure falls apart. Mobile, carrying most of the sessions, converts at 1.2 percent. Desktop converts at 2.8 percent. Buyers are not behaving differently by choice; the mobile experience is losing them somewhere, and the store average was quietly averaging a problem with a success.
The same thing happens when you split by traffic source. Visits from brand searches and email tend to convert well because those people already decided. Visits from a broad prospecting campaign convert far lower. Blend them and a shift in traffic mix looks like a change in the store, when nothing on the site moved at all.
These numbers are an example used to show how to read the metric, not a target or a benchmark.
Why it matters
Conversion rate is the second of the four levers, and it multiplies everything upstream of it. Doubling it has the same effect on revenue as doubling traffic, without the extra cost of buying that traffic, which is why it is usually the cheapest place to find growth.
It also decides what the visitors lever can afford. A store that converts poorly has to win every auction on a low bid, because each click is worth less. Lift conversion and the same click becomes affordable at a higher price, which opens up traffic that was previously out of reach.
For a store owner the useful habit is refusing to look at one number. Read conversion rate by device, by traffic source and by landing page, and the site tells you where the money is leaking. That is a to-do list. The store average, on its own, is only a mood.
Common mistakes
- Comparing your rate to a figure found online. Conversion rate depends on price, category, traffic mix and how much of your traffic is people who already know you, so an outside number cannot judge your store.
- Watching the blended figure while the traffic mix changes underneath it. A rise in cold prospecting traffic lowers the average even when the store got better.
- Counting sessions and orders from different tools. Analytics sessions and platform orders are measured differently, and mixing sources produces a rate that is wrong in a direction you cannot predict.
- Testing changes on too little traffic. Small stores rarely gather enough sessions for a quick test to mean anything, so the honest move is to fix obvious problems rather than run underpowered experiments.
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