What if two branches serve completely different menus?

Compare them on profit per customer and cost per order , not just revenue. If one branch’s menu has higher food costs but lower labour costs, the numbers will show which model is more efficient—even if the menus are different.

How often should I run these comparisons?

Monthly is the minimum, but weekly checks on key metrics (like labour cost % and gross profit per sq ft) catch issues before they become trends. Automate the reports so you’re not digging through data every payday.

What if a branch is new and doesn’t have a full year of data?

Compare it to its own trends over time, not to older branches. Look for improvement (or decline) in efficiency metrics like cost per order or staff productivity. A new branch’s first three months are noisy, but the direction matters more than the absolute numbers.

Can I compare branches in different countries?

Yes, but you’ll need to adjust for exchange rates, local taxes, and wage differences. Berryin’s Multi-Branch tools let you set custom cost benchmarks per location so the comparisons stay fair.

What’s the biggest mistake groups make when comparing branches?

Assuming that higher revenue means better performance. A branch could be ‘winning’ on sales but losing on profit, efficiency, or even customer loyalty. Always dig into the why —not just the what. Berryin’s Reports & Analytics pulls all this together in one place, so you’re not chasing data—you’re acting on it. If you’re ready to stop guessing which branches are really performing, start a free trial and see the numbers talk for themselves.

How to Compare Branch Performance Fairly

Why Your Branch Comparisons Are Wrong (And How to Fix It)

You already know which branch is doing well and which is struggling. The problem is, you don’t know why. One site might be sitting on a 15% higher gross profit than another, but that could be because it’s overstaffed, undercharging, or just serving a wealthier crowd. Without stripping out the variables, the numbers mean nothing—except that you’re paying for a system that doesn’t tell you what to fix.

The fix isn’t harder reporting. It’s smarter comparisons. The goal isn’t to rank branches like a league table; it’s to spot the levers you can pull to move the needle. That means adjusting for local rent, staff costs, foot traffic, and even the weather before you declare one branch a ‘winner’ and another a ‘loser’. Get this wrong, and you’ll either overinvest in a branch that’s just lucky or underinvest in one that’s holding you back.

Start with the raw data you already have: sales per square foot, labour cost as a percentage of revenue, and average spend per customer. Then ask: What’s different between these branches that isn’t just luck? The answer will tell you where to focus.

The Three Numbers That Break (Or Save) Your Branches

Most restaurant groups compare branches on revenue alone—and that’s the fastest way to miss the real story. Revenue doesn’t tell you whether a branch is efficient, profitable, or even sustainable. Here are the three numbers that do:

Gross profit per square foot – This strips out location bias. A branch in a high-rent area might pull in £50k a month in sales, while another in a cheaper strip mall does £30k. But if the first has £15k gross profit per 100 sq ft and the second has £18k, the ‘underperformer’ is actually the smarter bet.
Labour cost as a % of revenue – A 30% labour cost is standard, but if one branch is at 28% and another at 35%, the difference isn’t just ‘better management’—it’s either wasted hours, underutilised staff, or a menu that doesn’t pay for itself. Dig into peak-hour coverage and you’ll find where the inefficiency lives.
Average spend per customer – If Branch A’s average order is £12 and Branch B’s is £8, the gap might be menu pricing, upselling, or even the type of customers walking in. But if Branch B’s profit per customer is higher, you’ve got a pricing or cost-control issue—not a ‘weak’ branch.

These numbers don’t lie, but they only work if you’re comparing apples to apples. If you’re not adjusting for local rent, staff wages, or even supplier costs, you’re chasing shadows.

How to Adjust for the Things You Can’t Control

A branch in London won’t look like one in Manchester—rent, wages, and even food costs vary wildly. But that doesn’t mean you can’t compare them. The trick is to normalise the data so you’re measuring performance, not just geography.

Here’s how:

Strip out rent and rates: Divide revenue by square footage, then subtract the local rent cost per sq ft. Now you’re comparing apples to apples on space efficiency.
Adjust for staff wages: If one branch pays £12/hour and another £15, don’t just compare labour costs as a percentage—factor in the local minimum wage or union agreements. A 32% labour cost in a high-wage area might still be better than 28% in a low-wage one if the first branch is actually more productive.
Account for foot traffic: A branch in a shopping centre will have different peak hours than one on a high street. Compare sales per hour during equivalent periods (e.g., lunchtime vs lunchtime, not ‘all day’).
Factor in delivery costs: If one branch relies on marketplaces and another does direct orders, the delivery fees will skew the numbers. Calculate the net revenue after commissions, not the gross.

Do this, and you’ll see which branches are genuinely efficient—and which are just benefiting from favourable conditions.

The Hidden Cost of ‘Good’ Branches

The branch that’s ‘doing well’ might be hiding a problem. Here’s how to spot it:

Overstaffed peaks: If a branch is hitting 90% capacity at lunch but has 10% more staff than needed, it’s burning cash on labour. The ‘high revenue’ is masking inefficiency.
Undercharged menus: A branch with high sales but low gross profit might be pricing items too cheaply—or not upselling enough. Check average spend per customer vs. average profit per customer.
Supplier markups: If one branch is paying more for the same ingredients, its ‘profit’ numbers are inflated. Standardise supplier contracts before you declare a winner.

The branch that looks best on paper might be the one bleeding money in ways you haven’t noticed yet.

What to Do When the Numbers Don’t Add Up

Sometimes, the data points in opposite directions. Branch X has higher revenue but lower profit; Branch Y has lower sales but higher margins. Which one do you fix?

The answer depends on what you’re optimising for:

If you’re scaling, focus on the branch with the highest scalable profit—i.e., the one that can grow without proportional cost increases.
If you’re cutting costs, look for the branch with the highest contribution margin (revenue minus variable costs). That tells you which site is most efficient at turning sales into profit.
If you’re improving consistency, compare the branch with the tightest standard deviation in daily sales. A stable branch is easier to replicate than a volatile one.

Don’t just pick the ‘best’ branch—pick the one that teaches you how to improve the others.

How Berryin Makes This Easier (Without the Guesswork)

Most reporting tools give you raw numbers but leave you to do the maths. Berryin’s Reports & Analytics does the heavy lifting:

Automatic normalisation: Adjusts for rent, wages, and local costs so you’re comparing performance, not just geography.
Real-time alerts: Flags branches where labour costs are spiking, gross profit is dropping, or average spend is falling—before it becomes a problem.
Drill-down details: One click takes you from a branch’s summary to the exact orders, staffing, and inventory that drove the numbers.

You’re not just getting a report; you’re getting a diagnosis. And the fix isn’t a spreadsheet—it’s the data to back up the decisions you’re already making.