The average check is the mean amount a customer spends per transaction. It is calculated by dividing total revenue over a period by the number of transactions in that period. In food service and hospitality, the term “average check” is standard; in retail, “average ticket” or “average transaction value” are equivalent.
This metric is a fundamental input to revenue modeling and financial projections. Projected revenue equals projected customer count multiplied by average check. Small changes in average check compound across thousands of transactions — a two-dollar increase per customer in a restaurant serving two hundred customers daily adds over $140,000 in annual revenue. This sensitivity makes the average check assumption one of the most consequential numbers in a business plan.
Average check is influenced by menu pricing, product mix (the proportion of high- and low-priced items sold), upselling practices, party size, and time of day. In American business practice, operators actively manage average check through menu engineering — positioning, describing, and pricing items to shift customer purchasing toward higher-margin combinations. The metric treats each customer interaction as a revenue-extraction opportunity, a framing that sits in tension with hospitality traditions where the meal is understood as a relational exchange rather than a transaction to be optimized.
Related terms
- Revenue model — the broader structure that average check feeds into
- Break-even analysis — uses average check to determine the customer volume threshold
- Income statement — where aggregate revenue from all checks appears
- Target market — whose spending the average check reflects