Average order value: the number that moves profit without more traffic

Average order value is total revenue divided by number of orders. It is the least glamorous of the three levers a shop has — traffic, conversion rate, order value — and frequently the cheapest to move, because it requires no additional visitors and no advertising spend.

The arithmetic is worth stating plainly. Lifting average order value by ten per cent lifts revenue by ten per cent on the same traffic, and lifts profit by more than ten per cent, because the costs of getting that visitor and processing that order barely change. Very few marketing activities have that shape.

What actually raises it

• Free delivery above a threshold, set a little above your current average. This is the single most reliable mechanism in online retail and works because the buyer is deciding between paying for delivery and adding something they half wanted.
• Genuinely relevant recommendations. What goes with this, what people bought together, what this needs to work. Relevance is the whole test — an irrelevant suggestion reads as noise and reduces trust.
• Bundles that are easier than assembling the parts. Convenience, not just a discount.
• Volume pricing where it is honest: three for a lower unit price, on things people genuinely use more than one of.
• A larger option presented alongside the standard one. Many buyers take the larger when it exists and would never have asked.
• Removing friction from adding a second item. If it means starting again, they will not.

Set the free-delivery threshold from your own data, not from a round number. Look at the distribution of order values, not the average: if most orders cluster just under sixty, a threshold at seventy-five moves a large group and one at a hundred and fifty moves nobody. This single decision does more for average order value than every recommendation engine, and it takes an afternoon with a spreadsheet.

What lowers it without anyone noticing

Blanket discount codes, especially the ones a customer finds after filling the basket — they reduce order value and train people to search for a code before buying. Free delivery with no threshold, which removes the mechanism entirely. And an interface where adding a second item risks losing the first, which is more common than shop owners expect and worth testing on a phone before assuming otherwise.

Measuring it properly

1. Track the median as well as the mean. One large order distorts a small shop's average badly, and a rising mean with a flat median means one customer got bigger, not all of them.
2. Segment by channel and by new versus returning. Returning customers usually spend more, and an average blended across both hides whether anything actually improved.
3. Watch it alongside conversion rate. A tactic that raises order value while suppressing conversion can easily be a net loss, and only looking at both catches it.
4. Judge changes over weeks, not days. Order value is noisy at small volumes and will happily show a fifteen per cent improvement that is entirely noise.

Where it fits

Average order value sits between conversion rate optimization, which is about how many visitors buy at all, and customer lifetime value, which is about how often they come back. All three multiply, and the one most shops have never deliberately worked on is this one.

Ettex Sites carries the shop, the thresholds and the product pages where these decisions are actually made — the payment step is covered in checkout page — and the order data behind the arithmetic sits in Ettex Invoices, with the calculation in Ettex Sheets.

Being clear: there is no recommendation engine, no automated bundling and no personalisation. The suggestions on a page are ones you choose, which for a small catalogue produces better relevance than an algorithm with too little data to learn from.