Restaurant Analytics UK 2026

Disclosure: Some links in this article are affiliate links. If you purchase through them, SmartPubTools earns a small commission at no extra cost to you. This doesn’t influence our recommendations — all opinions are Shaun’s own, based on running Teal Farm Pub and SmartPubTools.com.

Last updated: 13 April 2026

Most pub landlords are sitting on goldmines of data they never look at. Your till generates transaction records, your cellar management logs stock movements, your rota captures labour patterns—but unless you’re actively reading that data, you’re flying blind on the decisions that cost you thousands.

Restaurant analytics is not about spreadsheets or dashboards for vanity. It’s about extracting one clear insight from your operations every week that moves the needle on profit. I’ve managed Teal Farm Pub in Washington, Tyne & Wear through Saturday nights where three staff hit the same terminal simultaneously while kitchen tickets pile up and card-only payments process. That real-world pressure teaches you fast: the venues that track what matters survive. The ones that don’t, guess.

This guide covers the analytics framework that actually works for wet-led pubs, food-led operations, and hybrid venues—not the consultancy fantasy of “advanced predictive modelling” but the practical intelligence you can act on Monday morning.

By the end, you’ll know which metrics drive real decisions, how to extract them from your existing systems, and why your analytics approach needs to match your pub model, not a generic hospitality template.

Why UK Pubs Miss Profit Through Bad Analytics

I’ve seen licensees leave thousands on the table because they didn’t know their own numbers. One publican thought his food cost was running at 28% when it was actually 34%—he’d been estimating based on feel, not facts. Another realised after six months that his afternoon shift was covering costs but not contributing to profit because he’d never cross-referenced labour spend against till sales for that daypart.

The core problem isn’t lack of data—it’s that pub operators are overwhelmed by data and paralysed by choice. Your till tells you what you sold. Your stock system tells you what you used. Your rota tells you who worked. But unless you connect those three pieces, you’re left with disconnected fragments that feel too complex to act on.

Restaurant analytics fails in UK pubs for three reasons:

• No clear question being answered. Dashboards that show 47 metrics are dashboards you won’t open. You need to track backwards from one decision: “Should I run a midweek promotion?” That decision needs three numbers: current midweek covers, current midweek average spend, and the cost of the promotion.
• Data presented too late. A P&L you see once a month is a history lesson, not a management tool. You need to spot trends within the week so you can adjust by next week.
• Analytics built for restaurant chains, not pubs. A 200-cover fine-dining restaurant has different operational pressure than a wet-led pub doing 40 covers on a Thursday. Your analytics framework needs to match your model.

When I evaluated pub IT solutions for venues managing quiz nights, sports events, and food service simultaneously, the venues that made the most profit were the ones running the simplest systems. They’d pick one metric, track it obsessively, and make one change based on what they found. That’s analytics done right.

The Core Analytics Framework for UK Pubs

Your pub operates inside three concentric circles: revenue, cost, and profit. Analytics means understanding the relationship between them.

Revenue: What You’re Actually Selling

Most landlords know their total till takings. Few know the breakdown. You need at least this:

• Wet sales (beer, spirits, wine, soft drinks) — separate by category
• Food sales — total food, not mixed with wet
• Other (gaming, hire income, events)

Why? Because a £5,000 week is very different depending on whether it’s £4,000 wet and £1,000 food versus £3,000 wet and £2,000 food. Your margins are completely different. Your staffing needs are different. Your ordering strategy is different.

The most effective way to segment pub revenue is to use your EPOS system’s category reporting and extract it weekly, not monthly. Monthly is too late. By the time you see the number, you’ve already bought stock and scheduled staff based on guesses.

Cost of Goods Sold (COGS)

For wet-led pubs, this means:

• Cost of draught beer, cider, lager
• Cost of spirits (gin, vodka, whisky)
• Cost of wine
• Cost of soft drinks and hot beverages

For food-led venues or hybrid pubs, add food cost on top. The reason you break this down is that draught margins are different from spirit margins, which are different from wine margins. If you’re seeing a squeeze on profit, you need to know whether it’s because you’re selling more low-margin draught or because your supplier has raised prices.

Food cost for pubs should sit between 28% and 34% of food sales, depending on your menu. If you’re higher, something in your purchasing, portion control, or wastage is leaking money. If you’re lower, you might be under-portioning.

Use your pub profit margin calculator to reverse-engineer what your COGS should be based on your target profit. If you want a 35% net profit and your overheads are 50% of revenue, your COGS needs to sit around 15% of revenue for wet sales.

Labour as a Percentage of Revenue

This is where most pubs lose control. You need to know:

• Total payroll cost (including on-costs, employers’ NI, pension, training)
• Payroll as a percentage of revenue
• Labour cost per cover (if you’re food-led)
• Labour cost per shift, by daypart

Healthy pubs typically run payroll at 25–32% of revenue, depending on model. Wet-led venues can run tighter—20–26%. Food-led venues need more staff, so 28–35% is normal. But if you’re at 38% and don’t know why, you’re bleeding £400+ per week.

The pub staffing cost calculator helps you model: if you cut one shift, how much does that free up? If you add a member of staff for events, what do they need to generate to break even?

Wet-Led vs Food-Led Analytics: Know Your Model

This is where most comparison sites and generic hospitality advice fails entirely. A wet-led pub and a food-led gastro have almost nothing in common from an analytics perspective.

Wet-Led Pub Analytics

Track these weekly:

• Pour cost percentage. Total cost of drinks sold ÷ total wet sales. Target: 18–22% depending on mix. If you’re above that, you’re either buying expensive, pouring heavy, or losing product to spillage.
• Till reconciliation variance. Does your till say £2,847 but your bank shows £2,803? The gap is leakage. For a wet-led pub doing £15,000/week, a 2% variance (£300) is normal. Above 3% needs investigating.
• Draught wastage. This is the killer metric nobody watches. Every pint that goes down the drain instead of through the till is pure loss. Track it by: kegs received, current stock, sales recorded, difference = waste. A 5% waste rate is acceptable. Above 8% and your lines need cleaning or your staff need retraining.
• Mix of sales by category. What percentage of wet sales is draught vs bottled vs spirits vs wine? If your draught percentage is dropping, you’re probably selling more high-margin spirits—good. If it’s rising and your margins are falling, your pricing or promotion needs attention.
• Average spend per customer. Divide wet sales by customer count. For a wet-led pub, this should be £8–£12 depending on location. If it’s dropping, you’re either getting fewer high-value customers or your regulars are drinking less—both need investigation.

I’ve managed staff at Teal Farm handling peak trading on Saturday nights where cellar management integration made the difference between knowing stock levels at 10pm and guessing. That real-world pressure is what this analytics approach is based on. If you don’t know whether you have enough cask ale for the next customer, you’ve already lost the sale and the information you need to order correctly next Saturday.

Food-Led Pub Analytics

Track these weekly:

• Food cost percentage. Total food COGS ÷ food sales. Target: 28–34%. If you’re above 35%, your menu pricing is too low or your portions are too generous. If you’re below 27%, check portion control—you might be under-serving.
• Kitchen covers and kitchen labour cost per cover. If your kitchen staff cost £800/week and you did 400 covers, that’s £2 per cover. Is that sustainable at your menu price? A £12 main course at 30% food cost and £2 labour cost leaves £3.60 margin—that’s tight. You need volume.
• Table turn rate. How many seatings per table per service? A 90-seat pub doing lunch with 1.2 turns is doing 108 covers. At 1.8 turns it’s 162 covers—massive difference in profit. Track it and understand what speed you’re actually operating at.
• Average spend per cover. Food sales ÷ food covers. For a pub doing casual lunch, £7–£9 is normal. For gastro-pub dinner, £18–£24. If yours is falling, it’s either portion creep or customer type shift.
• Food waste percentage. By weight. Track it weekly. A 6–8% food waste rate is acceptable. Above 10% and you’re throwing away profit. Common culprits: over-purchasing for a feature you didn’t sell, over-portioning, or using old stock.

Hybrid Pubs: Track Both Models

If you’re doing wet and food, you need metrics from both—but prioritise based on your revenue split. If 70% of revenue is wet and 30% is food, weight your attention accordingly. Too many hybrid operators obsess over food cost (because it feels like something you can control) and ignore pour cost (which drifts silently).

Setting Up Daily and Weekly Tracking

You don’t need expensive software. You need discipline.

Daily: The Till Reconciliation Ritual

Every close of business, someone (usually the closing manager) should reconcile the till. Print the Z-report (total takings for the shift), count the drawer, and record the variance. Takes 10 minutes. Spot a £50 discrepancy on day one and you’ve caught a problem before it becomes a pattern.

Weekly: The Numbers Meeting

Every Monday or Tuesday, sit down with your EPOS system and extract:

• Last week’s total sales, broken down by category
• Last week’s COGS (from invoices, or from stock take if you do monthly counts)
• Last week’s payroll
• Last week’s customer count (if your EPOS tracks covers)

Put it in a spreadsheet with the same row headings every week. Compare to last week and to four weeks ago. Ask three questions:

1. Is sales up or down? Why?
2. Is COGS percentage up or down? Why?
3. Is labour percentage up or down? Why?

Write your answers down. If you did a promotion last week and sales went up 12%, but labour went up 15%, the promotion wasn’t profitable. If draught sales dropped 8% but spirit sales jumped, you need to investigate: did a price increase cause the shift, or did a competitor launch?

One metric moves profit more than any other: the speed of noticing a change and the speed of acting on it. If you notice on Tuesday that your food cost jumped from 30% to 34% last week, you can investigate Wednesday and adjust ordering Thursday. If you notice on the 15th of the month, it’s too late—you’ve already bought for next week at the wrong cost.

Monthly: Variance Analysis

Every month, compare actual to budget (or to the same month last year). This is where you see patterns. If every January is 18% down on December, that’s normal—plan for it. If January this year is 25% down, something unexpected happened and you need to diagnose it.

The pub drink pricing calculator helps you reverse-engineer: if January is lighter and you want to protect profit, what price increase do you need to compensate? 3%? 5%? Is that sustainable?

Common Analytics Mistakes Pub Operators Make

After 15 years in the space and managing 17 staff across FOH and kitchen using real scheduling and stock management systems daily, I’ve seen these errors tank profitability:

Mistake 1: Averaging Everything

If your average till takings are £2,100/day, that’s useless. Monday’s £1,400, Friday’s £3,200, and Sunday’s £2,800 are completely different dynamics requiring different staffing and stock. Track by daypart. You’ll find that Monday lunchtime and Thursday evening are your profit drivers—not because they look busy, but because customer type, spend, and cost align perfectly.

Mistake 2: Watching Revenue, Ignoring Cost

A £3,000 week sounds great until you realise COGS is £900, labour is £1,100, and overheads are £800—you’ve made £200 profit (6.7%). A £2,500 week with COGS of £325, labour of £700, and overheads of £800 made £675 profit (27%). The second week is dramatically better, but you’d miss it if you only watched the till.

Mistake 3: Confusing Activity With Profit

Busy Saturday nights feel profitable. They look profitable. Your staff work hard, the place is packed, you pour lots of drinks. But if your pour cost is 24%, your labour is running at 35%, and you’re doing mostly low-margin beer, you might be making 8% net. A quieter Tuesday night with higher-margin spirits, fewer staff, and zero waste might be hitting 22% net. The busy night creates the illusion of success.

Mistake 4: Not Understanding Your Pub’s Economics

Your fixed costs (rent, rates, insurance, utilities) are probably £5,000–£8,000/month depending on location. If your variable costs (COGS and labour) are running at 50% of revenue, you need £15,000–£18,000/month in sales just to break even. Knowing that number changes how you read your analytics. A £3,000 week is catastrophic. A £4,500 week is barely breaking even.

Mistake 5: Relying on Your Accountant’s Year-End Numbers

Your accountant’s job is compliance. They’ll tell you what you made last year. That’s historical. Analytics is predictive and real-time. You need weekly numbers to know if you’re tracking to last year’s profit or falling short, so you can adjust now, not in January.

Tools and Systems That Actually Integrate

Most pub EPOS systems (Lightspeed, Toast, Touchpoint) generate excellent data. The problem is getting it out. Some systems have built-in reporting, but the dashboards are designed for corporate chains, not individual licensees.

Best Practice: EPOS + Spreadsheet

This sounds backwards, but it works: export your EPOS data weekly into a spreadsheet you build yourself. You control the format, the metrics, and the comparison. A simple Excel sheet with 10 rows (sales by category, COGS, labour, covers, average spend, margins) is more actionable than a 47-metric dashboard you don’t understand.

Integrated Systems That Help

If your EPOS integrates with accounting software (Xero, Sage), use it. Your invoices automatically populate your COGS figures. Your payroll automatically pulls labour costs. But don’t rely on integration alone—verify the numbers manually once a month to check for errors.

Pub management software designed for real operators often includes analytics dashboards built by people who’ve actually run pubs. They typically show the metrics that matter (cash position, labour percentage, food cost) without the noise of vanity metrics.

Cellar Management Systems

For wet-led pubs, cellar integration with your EPOS is transformational. You scan a barrel in, and when you sell a pint, the system decrements stock and calculates pour cost. No more guessing about wastage.

The real cost of implementing a new EPOS or cellar system isn’t the monthly fee—it’s the staff training time and the lost sales during the first two weeks of use. But once bedded in, the data you get back saves that cost in the first month alone through better ordering decisions and waste identification.

Hospitality-Specific vs Generic Tools

Generic accounting software (QuickBooks, FreshBooks) can work for pubs, but they’re not built for hospitality. They don’t understand pour cost or table turns. Specialist pub IT solutions cost more upfront but ask the right questions and present data in pub language, not accounting language.

For more information, visit pub profit margin calculator.

For a working example with real figures, the Pub Command Centre is used daily at Teal Farm Pub (Washington NE38, 180 covers) — labour runs at 15% against a 25–30% UK average.