Restaurant Analytics: What to Track and How Often
A restaurant POS records thousands of data points every week, and most owners review a small share of them. Restaurant analytics becomes useful when a restaurant picks a short set of measures, reviews each on a schedule, and ties every figure to a decision.
This post covers which analytics are worth tracking, how often to review each one, how to read the numbers together, and what a monthly report should include.
What Analytics Should a Restaurant Track?
A restaurant should track sales by item and daypart, average check, guest count, food cost percentage, labor percentage, discounts, comps, voids, and repeat visit rate. Together these show what sells, what it costs, how many guests come, and how many return, which covers the main drivers of profit.
The measures fall into four views. The sales view covers item mix, daypart performance, and average check. The cost view covers food cost percentage, labor percentage, and waste. The guest view covers guest counts, repeat visits, and feedback. The controls view covers discounts, comps, and voids. Each view answers one question: what sold, what it cost, who came, and where money leaked.
How Often Should Each Number Be Reviewed?
Daily review fits sales, guest counts, and voids. Weekly review fits labor percentage, item mix, comps, and discounts. Monthly review fits food cost percentage, margin by item, and repeat visits. Quarterly review fits trends, pricing, menu decisions, and goals. Matching the cadence to how fast a number moves keeps each review short.
Daily: a quick look at sales and guest counts against the same weekday last week.
Weekly: labor against sales, the item mix, and the comp and discount totals.
Monthly: food cost percentage and item margin, using current invoices, plus repeat visit rate.
Quarterly: the larger picture, including which prices, menu items, and staffing patterns to change.
How Do You Read the Numbers Together?
Read each number against a baseline and against the others. Sales up with a flat guest count points to check average or price. Food cost percentage up with steady sales points to portions, waste, or supplier prices. Comparing similar periods removes the noise of weather, holidays, and local events.
A few pairings show how this works. Labor percentage rising during a slow daypart points to scheduling. A drop in repeat visits alongside new complaints about wait times points to the floor. An item with strong sales and a thin margin is a candidate for a price or portion review, which the earlier post on menu pricing during inflation covers in detail.
What Does Toast Analytics Show?
Toast analytics reports cover sales by item, category, daypart, and order channel, along with discounts, comps, voids, and labor figures. Food cost percentage needs plate costs and recent invoices added to complete the picture, since the POS records what sold and the invoices record what it cost.
The reports are only as clear as the menu build behind them. Clean item and modifier structures let sales figures tie back to recipes, which is one reason POS configuration and reporting work well together. Restaurants on other POS systems can build the same views from their own reports.
What Does a Good Monthly Report Look Like?
A good monthly report fits on a few pages, compares the month with the prior month and the same month last year, and ends with a short list of actions. It leads with the measures above, explains what moved and why, and assigns an owner to each action.
Length matters less than consistency. When figures are defined once, such as how food cost percentage is calculated, every month compares cleanly with the last. A report that is read in one sitting by an owner, a general manager, and a chef does more work than a longer one that sits in an inbox.
How Strela Approaches Reporting & Advisory
Strela Consulting Group works as an embedded partner for restaurants in Tampa Bay and nationwide. Reporting & Advisory includes Monthly Performance Reporting on key sales, pricing, and guest metrics, a Quarterly Business Review that connects the data to strategy, Ongoing Strategic Advisory on pricing, menu, and operations, and Data-Driven Action Planning built from accumulated reporting history.
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