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12 ways to increase Average Order Value in your restaurant

More revenue doesn’t always mean serving more customers or putting prices up. Increasing how much each customer spends makes the covers you already have more valuable – whether that’s an extra side, a premium option, or a dessert added to the order.

The goal isn’t squeezing more money out of customers. The best average order value strategies make it easier for customers to discover additions or upgrades that genuinely improve their meal.

 

What is Average Order Value in a restaurant?

Average Order Value (AOV) = Total Sales Revenue ÷ Number of Transactions

Example: £20,000 in sales across 800 transactions gives an AOV of £25.

One distinction worth making early: Depending on how a restaurant operates, average spend per head can be more useful than average transaction value. A table of four spending £100 has an AOV of £100 but a spend per head of £25 — two very different numbers depending on which question you’re actually asking. 

Cornell’s restaurant revenue management research treats average check per person as one of several standard restaurant performance measures, alongside factors like table turnover and meal duration. For this article, we’ll focus primarily on AOV (the value of each transaction) while highlighting where spend per head can provide useful additional context.

 

Why increasing average order value matters

The commercial logic is straightforward. For a restaurant serving 1,000 transactions a month:

Average order value Monthly revenue
£25 £25,000
£26 £26,000
£27.50 £27,500

A £2.50 increase in AOV is £2,500 in additional monthly revenue, without a single extra transaction.

One important caveat: Revenue isn’t profit. The real objective is increasing AOV while paying attention to contribution margin – selling more of a low-margin item isn’t as valuable as shifting the sales mix toward genuinely profitable ones. This is the whole premise behind menu engineering, which Cornell’s menu design research frames as assessing every item by both contribution margin and sales volume together. We’ve covered the full framework separately if you want the deeper version.

 

12 ways to increase your restaurant’s average order value

1. Use strategic upselling

Upselling, cross-selling and premium substitution are related but distinct tactics, and it’s worth knowing which one you’re actually using:

  • Upsell: Regular → large
  • Cross-sell: Burger → burger and fries
  • Premium substitution: House wine → premium wine

Each works differently. An upsell increases the size or quality of what’s already been chosen; a cross-sell adds something alongside it; a premium substitution swaps the item entirely. The key across all three is relevance and timing – a recommendation needs to make sense alongside what the customer is already ordering, not just be an extra prompt for its own sake.

 

2. Train staff to make relevant recommendations

Upselling is the strategy; staff training is how it actually happens, consistently, on every table. Train staff to understand which dishes pair well, which extras are available, which items are worth highlighting, today’s specials, and appropriate drink pairings.

A generic “Would you like anything else?” gives the customer very little to respond to. A relevant suggestion (“Would you like garlic bread or olives while you’re waiting?”) gives them a specific option to consider instead.

 

3. Create meal bundles and packages

Burger, fries and a drink. A lunch menu. Starter and main. A family meal. The aim is to make the step up from a single item to a higher-value order feel worthwhile – someone who intended to order a £12 main may be more willing to spend £17 on a main, side and drink when the package offers clear value. Don’t automatically discount everything in a bundle, though: The customer needs to perceive value, but the operator should calculate the bundle’s actual contribution margin first, not just bundle for the sake of it.

 

4. Add profitable sides and extras

Sauces, fries, vegetables and bread for restaurants; dips, toppings and stuffed crust for pizza; drinks, sides and desserts for takeaways; syrups, alternative milk and extra shots for cafés. Worth tracking your attachment rate specifically – what percentage of main dishes are currently ordered with a side? If only 15% of burger orders include a side, increasing that to 20% gives you a measurable target, which is far more actionable than simply telling staff to “sell more sides.”

 

5. Use menu modifiers effectively

Rather than relying on customers or staff to remember what’s available, configure logical modifiers directly into ordering:

Add to your burger:

  • Cheese +£1.00
  • Bacon +£1.50
  • Double patty +£3.00
  • Fries +£3.50

Keep modifiers relevant rather than excessive – too many prompts makes ordering cumbersome rather than helpful.

 

6. Introduce premium options

Give customers a choice rather than simply raising the price of the default item. A house burger at £13, a signature burger at £16, a premium steak burger at £19. Same principle applies to wine, spirits, coffee or portion sizes. This gives customers control over how much they spend, rather than the restaurant deciding for them.

 

7. Improve menu design and positioning

Use your actual EPOS sales data to sort items into four groups: High popularity and high margin, high popularity and low margin, low popularity and high margin, and low popularity and low margin. Then use that to decide which items actually deserve prominence on the page.

Cornell’s menu-engineering research is built around exactly this – evaluating items by profitability and sales volume together, then adjusting presentation and organisation accordingly.

 

8. Create minimum-spend incentives

Free delivery over £25. A complimentary side over £30. Bonus loyalty points above £40. The important part is usually setting the threshold slightly above your existing AOV, not picking a round number that sounds nice – if your online AOV is £23, test an incentive around £27–£30, not £50. The economics need to work too: Giving away a £5 item to generate £2 of extra revenue isn’t a win.

 

9. Promote desserts and after-dinner drinks

Look at how many evening transactions currently include a dessert, coffee or after-dinner drink. If the attachment rate is low, test one change at a time (such as giving customers a separate dessert menu when mains are cleared, or prompting for a coffee pairing) and compare the result. Where alcohol’s involved, keep recommendations responsible – alcohol sales carry their own licensing requirements in England and Wales.

 

10. Use online ordering to recommend extras

Online ordering makes upselling much more consistent. It can reproduce the useful parts of staff recommendations through prompts – add a dip when a pizza’s added, “make it a meal” when a burger’s added, “fancy something sweet?” at the basket stage. 

The advantage over relying on staff memory is consistency: The prompt can appear on every relevant order, not just when someone happens to remember. YUMA’s back office lets operators build relevant extras and modifiers into the ordering journey.

 

11. Build loyalty rewards around spend

A blanket “get 10% off” offer isn’t necessarily designed to increase AOV. A threshold such as “spend £30 and get 200 bonus points” explicitly gives customers a reason to reach a particular basket value. Spend thresholds, bonus points on selected products, or rewards tied to higher-margin categories all push in that direction – just avoid training regular customers to simply wait for the next discount.

 

12. Use EPOS data to identify opportunities

You can’t properly optimise AOV without knowing what’s actually happening across your sales and reporting data – AOV over time, sales by product, product mix, items per transaction, modifier and extra attachment rates, and performance by day, time, location and ordering channel. 

Turn that into direct questions: 

Customers buy lots of burgers but rarely add sides → test a side prompt. 

Dessert sales are low despite strong evening covers → test staff recommendations. 

Premium versions barely sell → review pricing and positioning. 

Online AOV is lower than dine-in → review modifiers and basket prompts.

Cornell’s Fairmont Hotels case study is a genuinely useful reference here – a structured revenue-management process that starts with baseline data analysis before selecting which tactics to actually apply, rather than guessing.

 

How to track whether your AOV is increasing

Don’t just glance at your restaurant EPOS. Establish a baseline and compare like-for-like periods:

Metric Why track it
Average order value Main KPI
Average spend per head Controls for different party sizes
AOV by ordering channel Shows whether dine-in, takeaway and online customers behave differently
Transactions Shows whether AOV growth coincides with falling order volume
Revenue Overall impact
Items per transaction Shows whether customers are buying more
Modifier/side attachment rate Measures how well extras are landing
Product mix Shows what customers are shifting toward
Gross/contribution margin Checks whether the extra revenue is actually valuable

One line worth holding onto: Don’t measure AOV in isolation. AOV rising because fewer customers are ordering your cheapest products isn’t automatically evidence your upselling strategy is working – it might just mean you’ve lost your budget-conscious customers. Compare against the previous four weeks, the previous quarter, and the same period last year where seasonality matters.

 

Increasing AOV without damaging the customer experience

Any AOV strategy still has to improve (or at least preserve) the customer experience. Constant pop-ups, irrelevant upselling, excessive modifiers, blanket discounting or pressuring staff to push products can quickly become counterproductive.

The better principle is simple: Relevance beats frequency.

 

The takeaway

Increasing average order value starts with understanding what your customers already buy. Once you can see which products sell together, which extras are being missed, and how spending shifts across different services, you can make far more informed decisions about your menu than guesswork allows.

YUMA brings sales, menu and ordering data together in one system, giving you a clearer picture of what’s selling, what customers are adding to their orders, and where there may be opportunities to increase transaction value.

See how YUMA EPOS helps you understand your restaurant’s performance → Book a demo

 

The five reports every restaurant should check each week

Most restaurants check sales. Fewer check the four numbers sitting right next to it that actually explain why sales look the way they do. On their own, each number is a fragment. Together, they tell you whether the week actually went well, or just looked like it did on the surface. Here are the five worth a proper look every week, what each one is really telling you, and what a bad reading actually looks like in practice. If your restaurant EPOS connects sales and operational data, many of these reports can be monitored from the same system.

 

1. Sales, compared, not just totalled

What it is: This week’s sales against last week’s, and against the same week last year.

Why it matters: A number on its own tells you nothing. £8,000 this week is either a great result or a worrying one, entirely depending on what it’s being compared to. Trend matters more than total.

What it looks like in practice: A steady Thursday that’s actually 12% down on the same Thursday last year — invisible if you’re only looking at this week in isolation, obvious the moment you put the two side by side.

Watch for: A quiet week that looks fine on its own but is actually down against last year — the kind of drift that’s easy to miss until it’s a real problem, because no single week ever looks alarming by itself.

 

2. Profit by category, not just revenue

What it is: Which menu categories are actually making money, not just moving volume.

Why it matters: Revenue and profit are very often different questions. A category selling well can still be quietly dragging on margin if food cost has crept up without anyone noticing — a supplier price rise that never made it back into the menu price is one of the most common, least visible profit leaks in hospitality.

What it looks like in practice: Your best-selling main is still your best-selling main, but its margin has slid three points over the last two months because a key ingredient’s gone up in price and nobody adjusted for it.

Watch for: A best-seller with a margin that’s thinner than you’d assume — worth checking against actual cost data, not gut feel or last year’s numbers.

 

3. Voided and cancelled orders

What it is: How many orders were voided or cancelled this week, and by whom.

Why it matters: A small, steady number is normal — genuine mistakes happen, every shift, everywhere. A sudden spike, or a pattern tied to one till or one shift, is usually the first sign of either a training gap or something worth a closer look.

What it looks like in practice: One terminal showing three times the void rate of every other till on the same shifts — sometimes it’s a training issue, sometimes it’s worth a direct, calm conversation.

Watch for: Cancellations clustering around a specific time, terminal, or member of staff, rather than being spread evenly across the week.

 

4. Stock variance

What it is: The gap between what your system says you should have in stock, and what you actually have.

Why it matters: Some variance is normal — spillage, portioning drift, minor waste, all part of running a kitchen. A growing gap, week over week, usually means something specific: Over-portioning that’s crept in gradually, waste that isn’t being logged properly, or stock going missing somewhere between delivery and plate.

What it looks like in practice: A 2% variance on a high-cost ingredient might be nothing. The same 2% appearing three weeks running, on the same ingredient, is a pattern worth actually investigating rather than writing off as normal wastage.

Watch for: The same ingredient showing variance two or three weeks running — a one-off is noise, a repeat is a signal.

 

5. Repeat customer rate

What it is: What share of this week’s customers have been in before.

Why it matters: New customers are visible and satisfying to chase — every marketing push is built around them. Repeat customers are usually the more profitable, more reliable number, and the one that quietly tells you whether the actual experience is bringing people back, rather than just getting them through the door once.

What it looks like in practice: A busy month on paper that’s almost entirely new faces, with barely any of last month’s customers coming back — a growth number that’s actually masking a retention problem.

Watch for: A healthy footfall number masking a low repeat rate — busy isn’t the same as building a base, and the two can look identical on a simple sales report.

 

How to actually make this a five-minute habit

The reason most operators don’t check these numbers regularly isn’t that they don’t care — it’s that “check the numbers” is vague enough to keep getting pushed to tomorrow. A few things that make it actually stick:

  • Pick a fixed day and time, ideally the quietest admin moment in your week, and treat it the same as any other recurring task
  • Look at all five together, not just whichever one happens to catch your eye — the value is in the combination, not any single number in isolation
  • Write down what surprised you, even briefly — a number that looks the same as last week isn’t worth dwelling on, but anything unexpected is worth a note so you can check whether it’s a blip or a trend

 

Where these numbers actually come from

None of this requires a spreadsheet built from scratch. YUMA’s back office already generates sales, profit and loss, inventory, and customer reports as standard, with a dashboard view pulling the headline numbers together so a weekly check takes minutes, not an afternoon reconciling separate systems.

 

The takeaway

Sales alone tells you what happened. These five numbers, together, start telling you why — and where to look next. None of them need a data analyst to check. They need five minutes, once a week, a fixed slot in the diary, and the discipline to actually look before the numbers surprise you rather than after.

Want to see what a weekly check actually looks like on a real dashboard? Book a demo with YUMA and we’ll show you.