Digital Menu Analytics: What Metrics Should Restaurants Track?

Best-sellers and slow movers: the first report to read

Start with the list every owner checks first: what sells most and what sells least over a given period. Best-sellers are your reliable earners. Make sure they are always in stock, photographed well, and easy to find near the top of their category.

Slow movers deserve equal attention. An item that rarely sells might be priced wrong, described poorly, buried in the layout, or simply not something your guests want. Before removing it, check how it is presented. Sometimes a clearer name or a better photo is the whole fix.

Compare like with like. A dessert will never outsell a main course, so judge each dish against others in its own category, and look across several weeks rather than a single evening. The ChargeM3 analytics dashboard shows best-sellers alongside order trends, which covers exactly this first look.

Category mix: is your menu balanced the way you think it is?

Category mix means how your orders divide between starters, mains, desserts, drinks and so on. It often differs from what the owner assumes. A kitchen may put most of its effort into mains while drinks quietly carry the margin, or the reverse.

Watch for gaps. If few tables order a starter or dessert, ask why. Perhaps the section is hard to find on a phone, the choice is thin, or staff never suggest it. A menu with clear category headings that reads well on a small screen makes those sections easier to discover.

Use the mix for planning too. If drinks and light plates dominate on certain evenings, you can prepare the kitchen and your purchasing accordingly instead of relying on memory.

Average order value and what actually moves it

Average order value is the typical amount spent per order or per table. It is one of the most useful single numbers, because a small improvement applies to every guest who orders. It does not require more guests, only better-served ones.

It moves for practical reasons: whether guests see add-ons such as sides, sauces and drinks, whether desserts are visible, how the menu is ordered, and whether sold-out items frustrate people into ordering less. Change one thing at a time and watch the next few weeks, otherwise you cannot tell what caused the shift.

Ask any provider exactly how this number is calculated and whether it appears in their reports. ChargeM3's dashboard is built around order trends and best-sellers, so if average order value matters to you, confirm what is shown directly. You can also work it out yourself: total sales divided by the number of orders.

Time-of-day and day-of-week patterns

Orders are rarely spread evenly. Lunch rushes, early-evening peaks, quiet Tuesdays and busy weekends shape how many people you need on shift and when the kitchen should start prep.

Order trends over time help you staff to demand rather than habit. If a slow period keeps showing up, it may suit a set lunch, a drinks offer or a shorter menu. If a rush regularly overwhelms the kitchen, that may point to simplifying what you offer at those hours.

Seasonality matters as well. Restaurants with terraces in Sofia often see a very different picture in summer and winter, and a running view of order trends shows when the shift begins so the menu can follow it.

Items viewed but not ordered, and questions to ask a provider

One of the most revealing signals in any digital menu is an item guests open or scroll past again and again but rarely order. It suggests interest that something is blocking: the price, an unclear description, a missing photo or a worry about ingredients.

Not every platform reports viewing behavior, and ChargeM3's analytics are built around order trends and best-sellers. So ask any provider plainly: what exactly is measured, how far back does the history go, and can reports be exported? If item-level view data matters to you, settle that before you sign up.

Even without view data you can get close to the answer by combining softer signals: what guests ask staff about, and which slow sellers have weak photos or vague descriptions.

Turning numbers into small, regular decisions

The goal is not a wall of charts. Pick a short review rhythm, such as ten minutes once a week, and ask three questions: what sold best, what sold worst, and what changed since last week?

Act on one or two findings at a time: reprice or rename a slow item, move a strong seller higher, mark a supply problem as sold out, adjust staffing for a busy window. With ChargeM3 you can edit the menu in minutes, and the mobile app for monitoring and statistics lets you check the numbers from wherever you are, so decisions do not wait for Monday at the office.

Be careful with small samples. A single quiet week, a holiday or bad weather can skew everything. Treat one week as a hint and several weeks as a pattern.

Frequently Asked Questions