Covers Per Hour Calculator
Calculate your restaurant’s covers per hour by dividing total covers served by service hours. Measure throughput and efficiency.
Calculate your restaurant’s average check size by dividing total revenue by the number of guests. Track spending trends and set targets.
Average check — sometimes called average ticket or average guest check — is a fundamental restaurant KPI that measures how much each guest spends per visit. The calculation is straightforward: divide your total food and beverage revenue by the number of guests (covers) served during the same period.
Tracking average check over time reveals whether your upselling strategies, menu pricing changes, and promotional campaigns are working. A rising average check with stable traffic means more revenue without needing more customers. A declining average check signals that guests may be trading down, skipping courses, or avoiding higher-priced items.
This calculator helps restaurant managers quickly compute average check for any time period — a single shift, a full day, a week, or a month — so they can compare performance across locations, day-parts, and servers.
Average check is one of the simplest levers for increasing revenue. By knowing your current average, you can set realistic targets for servers, evaluate the impact of menu changes, and measure the effectiveness of upselling programs. Even a $2 increase in average check across hundreds of daily covers translates into tens of thousands of dollars in annual revenue.
Average Check = Total Revenue ÷ Number of GuestsResult: $29.84
With $18,500 in total revenue and 620 guests served, the average check is $18,500 ÷ 620 = $29.84 per guest. If the restaurant’s target is $32.00, the team needs to increase average spend by approximately $2.16 per guest through upselling or menu adjustments.
Breakfast, lunch, and dinner each have distinct average check profiles. Breakfast checks are typically the lowest because of lower-priced items and fewer courses. Dinner checks are highest, especially when alcohol is ordered. Tracking each day-part separately prevents dinner performance from masking a weak lunch service.
Once you know your average check and can predict guest counts, forecasting revenue becomes simple: projected covers × average check = projected revenue. This helps with labor scheduling, food purchasing, and cash-flow planning.
Many restaurants build server scorecards that include average check per server per shift. Top performers consistently sell appetizers, premium entrees, and desserts. Sharing anonymized leaderboards creates healthy competition and drives team-wide improvement without adding labor or marketing costs.
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Full-service restaurants in the US typically see average checks between $25 and $55 depending on concept, location, and price tier. Casual dining averages $15-$25, while fine dining can exceed $100 per guest.
No. Average check should be based on net food and beverage revenue before tax and gratuity. Including tax inflates the number and makes comparisons across jurisdictions unreliable.
They are essentially the same metric. Some operators use "average check" for the total table check divided by guests, while "revenue per cover" sometimes refers to revenue per seat available. Context matters.
Train servers on upselling techniques, add premium modifiers (truffle, lobster), offer prix fixe or tasting menus, promote appetizers and desserts, and use menu engineering to highlight high-margin items. Review your results periodically to ensure they still reflect current conditions.
Yes. QSR operators track average check closely and use combo meals, add-on prompts at the register, and digital menu boards to increase it. Even $0.50 gains at high volume are significant.
Daily tracking is ideal for active management. Weekly and monthly aggregates help identify longer-term trends. Compare year-over-year to account for seasonality.
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