Better Bartender · Guides

Make your drinks menu work harder.

By Better Bartender · Published 7 October 2026

Drinks menu engineering compares how often each drink sells with what it contributes after ingredient costs. Use it to choose a specific change to test, not to remove everything below an arbitrary threshold.

Start with a fair comparison

Choose one venue and a complete trading period. Compare similar menu categories so a high-volume beer does not become the default benchmark for a premium cocktail. Record stockouts, promotions and days on the menu. Low recorded sales do not prove low demand when a drink was unavailable.

For each item, collect serves sold, realised sales revenue and a current recipe cost on a consistent tax basis. Keep source sales and cost dates visible. If cost is missing, label contribution unknown rather than treating the ingredient cost as zero.

A small worked example

The following invented figures use one period and a consistent tax-exclusive basis, with no discounts or refunds.

Drink A: 100 serves × (£10 revenue − £2.50 ingredients) = £750 ingredient contribution.
Drink B: 40 serves × (£13 revenue − £3 ingredients) = £400 ingredient contribution.
Drink C: 120 serves × (£8 revenue − £2 ingredients) = £720 ingredient contribution.

Drink B contributes most per serve (£10), but Drink A contributes most in total (£750). Drinks A and C both have a 25% pour cost, yet contribute different cash amounts per serve. Ranking solely by margin percentage or revenue hides these differences.

Turn the comparison into a decision

Popular, strong contribution: keep the recipe and service consistent; make sure availability supports demand.
Popular, weaker contribution: investigate portioning, supplier prices and discounts before changing the menu price.
Less popular, strong contribution: test a clearer description or staff recommendation, while recording the change.
Less popular, weaker contribution: review its role. It may serve a dietary need, a low-alcohol occasion or another deliberate purpose.

“Strong” and “weak” are relative to your chosen comparison set and venue goals. Write down that definition. A tiny sample should not decide a permanent menu change.

Include the reality of service

Ingredient contribution is not operating profit. Preparation, service time, breakage, labour and overheads still matter. A high-contribution cocktail that slows an already constrained station may not be the best item to promote during peak service. Measure the constraint rather than assuming it.

Test one change and review it

Record the original period, the menu change and what success would look like. Compare against a similar later period, noting events, weather, opening hours and promotions that might explain a difference. A rise after a change is not proof that the change caused it. Retain successful experiments and stop unhelpful ones.