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Average transaction value, also called average order value or AOV, tells you how much a typical customer spends per visit. Here's the formula, a worked example, and the two different levers that actually move it.
| Total sales this week | $8,400 |
| Transactions this week | 210 |
| AOV | $40.00 |
$8,400 ÷ 210 = $40.00. That number alone doesn't say much in isolation, it becomes useful once you track it week over week and compare it against items per transaction, since the two together tell you whether growth is coming from bigger baskets or higher prices.
Watching AOV next to items per transaction tells you which lever is actually doing the work, instead of guessing.
A monthly AOV smooths out everything that's actionable — a bad week gets buried in a good month, and by the time you notice, three or four weeks of coaching opportunity are already gone. Checking it weekly, alongside sales per labor hour, is what turns AOV from a report-card number into something you can actually coach a team around in real time.
Retail Ops OS calculates AOV, items per transaction, and sales per hour from the same weekly numbers you're already logging, no separate spreadsheet.
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