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.

Pub Analytics UK: What Data Actually Drives Profit

Last updated: 12 April 2026

Most pub landlords can tell you how many pints they sold last Saturday night, but almost none can tell you which customer segment generated the highest profit margin or which hour of the day drives the most revenue per staff member employed. That’s not a failing—it’s a data problem. Pub analytics is the practice of collecting, measuring, and interpreting the numbers that matter to your bottom line, and the difference between a pub that thrives and one that survives often comes down to which metrics you’re actually watching. The landlords I work with who’ve implemented real analytics systems—not just till reports, but actual behavioural and financial data—report improved margins within 60 days. This guide shows you exactly which metrics to measure, where to find them, and how to act on them without needing a finance degree.

Why Most Pubs Track the Wrong Metrics

Walk into any pub and ask the licensee what their numbers were last week. They’ll usually rattle off total sales. “We did £8,200.” But that tells you almost nothing. You don’t know if it was a good week or a terrible week, because you don’t know their costs, their staff levels, or what they could have made with different decisions.

The pub analytics mistake isn’t laziness—it’s that most pub operators inherit their reporting habits from older systems that were designed for speed, not insight. A traditional till prints a tape. You count it. You move on. That system worked when pub margins were wider and competition was lighter. It doesn’t work now.

When I was setting up the EPOS system at Teal Farm Pub in Washington, Tyne & Wear, the old till was only giving us summary totals. We had no idea which products were profitable. We couldn’t tell if Tuesday lunch was worth the labour cost. We had quiz nights, sports events, and food service running simultaneously, but we couldn’t disaggregate the data to see which revenue stream actually performed. Within three weeks of proper analytics integration, we’d identified £400 per month in pricing inconsistencies—drinks that should have been £1.80 but were rung in at £1.60 because of staff habit.

Here’s what happens in pubs without proper analytics: You make decisions based on memory and gut feeling. You cut hours because trading feels slow, not because the data shows it’s unprofitable. You keep a marginally-selling beer on tap because you like it. You schedule staff at the wrong times because you’re guessing at demand. Each individual mistake costs £10-20. Over a year, that’s £5,000-10,000 in preventable loss.

The second issue is that pub analytics has been trapped between two extremes. Either you’re getting a phone call from an accountant once a year, or you’re drowning in a spreadsheet with 50 metrics and no idea which ones matter. There’s almost nowhere in between.

The Core Analytics Every Pub Should Monitor

You don’t need 50 metrics. You need seven. These are the numbers that, if you track them weekly, will tell you whether your pub is genuinely improving or slowly declining. Skip generic reporting—these are UK pub-specific.

1. Revenue Per Hour

This is the single most useful metric for a pub operator, and almost nobody tracks it. Calculate it like this: Total revenue divided by hours the pub was open. If you did £800 on a Friday night (4 hours open), that’s £200/hour. If you did £400 on a Tuesday lunch (3 hours), that’s £133/hour.

Why this matters: It forces you to think about actual trading efficiency. A Tuesday that feels “quiet” might still be profitable because it only costs you 2.5 staff hours. A Thursday that feels busy might be a waste of labour if you’ve got four staff working when two would do. Revenue per hour is the metric that ties your sales directly to the cost of delivering them.

2. Cost Per Cover (Food-Led Venues)

If you serve food—even just a few hot meals at lunch—you need to know your cost per cover. This is: Total food cost divided by number of covers served. If you spent £180 on ingredients and served 30 meals, that’s £6 cost per cover. Against a £14 meal price, that’s 43% food cost, which is reasonable for most pub kitchens.

Why it matters: This tells you instantly whether you’ve got a pricing problem or a purchasing problem. Most pubs assume their food margins are bad because of labour or waste. Often it’s because the ingredients cost too much or the portion sizes are too large. Use a pub profit margin calculator to track this weekly.

3. Drinks Margin by Category

Not all drinks are equal. Lager margins are usually 65-70%. Spirit drinks are often 75-80%. Wine is sometimes 50-60% because of waste and unpredictability. Cider varies wildly. You cannot optimize what you don’t measure, which is why drinks margin by category is non-negotiable for wet-led pubs.

Your till should give you this automatically. If it doesn’t, your till is costing you money. Pull this report weekly and look for anomalies. If gin suddenly dropped to 72% margin, you’ve either raised the pour size, lowered the price, or stock is disappearing.

4. Staff Productivity

Revenue per staff hour is where the real money is hidden. If your pub is open 80 hours a week and you’re employing 60 staff hours, your ratio is 0.75 pubs-open to staff-hours. That’s normal for mixed trading (some busy, some quiet, some training). But if you can improve that to 0.80, you’re adding £20-40/week without raising prices or cutting quality.

Track which shifts are over-staffed. Track revenue per staff hour by day. On quieter Tuesdays, you might see £40/staff hour. On Friday nights, £120/staff hour. That gap is where your scheduling problem lives. Most pubs fix this and find an extra £100-200/week.

5. Like-for-Like Sales (Year-on-Year)

This compares the same week last year to this week. It removes seasonal noise. If you’re up 8% year-on-year, you’re genuinely growing. If you’re down 3%, you need to understand why—price increases, lost customer base, competitor opening, or market decline.

6. Customer Spend Per Transaction

Total revenue divided by number of transactions (till rings). If you did £800 and had 220 transactions, your average spend was £3.64 per ring. Track this by time of day. Lunchtime might be £2.80 (quick pints, food). Evening might be £4.20 (more spirits, rounds). If you can shift lunchtime up to £3.20 through upselling or pub drink pricing calculator adjustments, that’s real money.

7. Staff Turnover and Training Hours

This is often overlooked in analytics, but it’s enormous. New staff take 2-3 weeks to reach full productivity. If your bar staff turnover is 60% annually, you’re constantly training. If you can cut it to 40%, you’re gaining a full-time staff member’s worth of productivity. Track hours spent on pub onboarding training and correlate it to turnover rates.

How to Collect and Organize Your Data

You need data from three sources: your till system, your payroll, and optionally your inventory system.

From Your Till

Your EPOS should be able to export daily and weekly reports. These should include: total sales by category (draught, bottled, food, spirits), transaction count, cash vs card, and ideally void/discount activity. If your current till can’t do this, that’s your first problem to solve. A modern pub management software system costs £50-150/month but pays for itself in one month by revealing pricing errors alone.

Non-negotiable: Your till data must feed into a central place. A spreadsheet, a dashboard, a cloud system—something. If you’re manually writing down numbers from till rolls, stop. That’s a data accuracy disaster and wastes 3 hours per week.

From Your Payroll

You need: total staff hours worked per week, broken down by shift if possible. This should take 5 minutes to pull from your payroll software. Calculate staff cost as a percentage of revenue weekly. Most pubs should be 25-32%. If you’re at 35%, you’ve got a labour problem.

From Your Inventory (Optional but Powerful)

If you’re doing stock counts, even basic ones, you can measure: waste by product, shrinkage rates, and lead times for reorders. This is low priority if you’re just starting with analytics, but it’s where the serious money is. A cellar stocktake that shows 15 pints of bitter “unaccounted for” in a week tells you either you’re pouring wrong pints, the till isn’t recording them, or staff are giving away drinks.

Using Analytics to Spot Profit Leaks

Once you’re collecting data, here’s how to actually use it.

The Weekly Check-In (15 Minutes)

Every Monday morning, pull four numbers: total revenue, revenue per hour, drinks margin, staff cost %. If any of these moved significantly vs. last week, investigate. “Revenue down 12%—did we have a busy event last week or is this a trend?” This single habit catches problems before they become disasters.

The Monthly Deep Dive (1 Hour)

Once a month, compare this month to last month and this month to last year. Look at: category mix (are you selling more premium spirits or less?), like-for-like sales, customer spend per transaction, and staff cost %. This is where you spot patterns. “Every June our revenue drops 8%—maybe we need to run an event or change pricing.”

The Real-World Example

At Teal Farm Pub, we tracked customer spend per transaction by time of day and discovered something simple: between 5-7pm, before the evening crowd arrived, we were only averaging £2.10 per ring. After 7pm, it jumped to £4.50. We started running a “happy hour” from 5-6pm with discounted spirits, thinking it would boost off-peak trading. It worked—we increased 5-7pm transaction volume by 40%, and the spend per transaction actually went to £2.80 because people were encouraged to come in and then stayed for full-price rounds. Revenue between 5-7pm went from £120 to £180 per day. That’s £1,800/month because we looked at the data first, not guessed.

The Pricing Insight

Analytics reveal pricing problems instantly—and they’re the easiest profit leaks to fix. Most UK pubs have 15-20% of their menu underpriced by 20-30p compared to their actual costs and margins. You’ll never find this by guessing. You find it by tracking margin by product. A pint of Guinness that should be 68% margin but shows 62%? Either your pour size is wrong, your cost increased, or it’s being rung in at the wrong price. Fix one pricing error per week and you’re adding £50-100/month.

Real-World Analytics in Action

Here’s how pub analytics worked in practice when I was managing 17 staff across front-of-house and kitchen at Teal Farm Pub, handling wet sales, dry sales, quiz nights, and match-day events simultaneously.

The Saturday Peak Test

A Saturday night with a full house, card-only payments, kitchen tickets, and bar tabs running all at once is where most systems fall apart. Most traditional POS systems—even ones that look good in a demo—struggle when three staff are hitting the same terminal during last orders. But if your analytics are set up right, you can see exactly what happened: How many transactions were voided? How much time was the till “locked”? Were there gaps in the data?

We found that on Saturday nights, we were losing 8-12 transactions to timeout issues. That’s roughly £30-50 in lost sales per Saturday night, or £2,000/year. We fixed it by redesigning the workflow and adding a backup till. We caught it because our analytics tracked transaction count hour-by-hour.

The Quiz Night Insight

Quiz nights are brilliant for volume but terrible for margin if you’re not measuring them. We tracked quiz night revenue separately and discovered: quiz night attracts people who spend £18-22 on average (3 pints) versus £22-28 on regular nights. But they occupy table space for 2.5 hours versus 1.5 hours on a Friday. Per hour of occupancy, quiz night was 18% less profitable. So we changed it: raised the entry fee by £1, removed the free water (people buy more drinks without it), and moved it to Sunday when we otherwise had no trade. Revenue on Sunday went from £340 to £580. Quiz night now pays.

The Food Margin Problem

We ran food service at Teal Farm alongside wet sales, which most operators assume hurts margin. But when we tracked it properly, we found: food only represented 12% of revenue but absorbed 35% of staff time and had a 38% food cost (weak margin). We fixed this by raising food prices 8%, cutting the menu from 16 items to 8 (easier kitchen workflow = fewer mistakes and waste), and repositioning it as “bar snacks” rather than a meal offer. Food cost dropped to 34%, revenue stayed almost the same, and staff time fell by 15%. That’s a real improvement you only see with analytics.

Building an Analytics Habit

The hardest part of pub analytics isn’t the maths. It’s the discipline. Most licensees start with great intentions—”I’ll check my numbers every Monday”—and then life gets busy. Three weeks later, they’ve stopped looking.

Make It Automatic

Use a pub staffing cost calculator or dashboard that sends you a weekly email automatically. Don’t have to log in to get the data—it comes to you. That removes the friction that kills the habit.

Assign Ownership

If you’ve got a deputy manager, make them responsible for the weekly check-in. Meet for 15 minutes every Monday to review the four key numbers. This serves two purposes: you get the data you need, and your manager gets trained in financial thinking, which is invaluable.

Set Targets, Not Guesses

Don’t say “I want to improve margins.” Say “I want to improve drinks margin from 67% to 69% by reducing waste through better pour control and eliminating two underpriced spirits.” Analytics let you set real targets because you’re measuring real things.

Act on One Insight Per Month

Don’t try to fix everything at once. Look at your data, find one thing you can improve (pricing, scheduling, product mix), change it, measure the result, and then move to the next insight. Compounded over a year, that’s 12 improvements, each generating £50-200/month. That’s real profit.

Wet-led pubs need completely different analytics than food-led venues, and that’s where most generic hospitality software fails. Your analytics system needs to separate draught from bottled, spirits from beer, and ideally track by event type (quiz night vs. quiet Tuesday). If your software can’t disaggregate, it’s not built for pubs.

For a tied pub tenant, there’s an additional layer: you need to understand your pubco’s requirements and ensure your data feeds their reporting system without manual entry. Check pub IT solutions guide before selecting an analytics platform.

For more information, visit pub profit margin calculator.

For more information, visit pub staffing cost calculator.

Operators who want to track pub GP% in real time can see how it’s done at Teal Farm Pub (180 covers, NE38, labour at 15%).