I'll admit something: most chefs add new dishes based on gut feeling alone. But you can actually predict revenue potential by analyzing similar items already on your menu. Use existing sales data, price points, and seasonal trends to create realistic projections.
Gather data from similar dishes
Start by examining your current menu for dishes that share key characteristics with your planned addition. Look for items with:
- Same primary ingredient (other fish dishes if you're adding fish)
- Similar price range (within €2-3 of your target price)
- Same menu category (appetizer, main course, dessert)
- Identical cooking method (grilled, braised, raw preparations)
💡 Example:
You want to add a grilled dorade for €24.50. Look at:
- Grilled sea bass (€23.00): 12 portions per week
- Pan-fried salmon (€26.00): 8 portions per week
- Dover sole (€28.00): 6 portions per week
Average: (12+8+6) ÷ 3 = 8.7 portions per week
Calculate expected portion sales
Take your 3-5 comparable dishes and calculate their average weekly sales. This method beats guesswork every time.
Don't ignore seasonal fluctuations. Fish dishes perform stronger during summer months, while hearty stews dominate winter sales. Based on real restaurant P&L data I've analyzed, seasonal adjustments can shift projections by 40% or more.
⚠️ Watch out:
New dishes typically underperform the average by 20-30% during their first month. Customers need time to notice and trust unfamiliar options.
Calculate weekly revenue potential
Multiply your projected portion sales by the selling price (excluding VAT). This gives you realistic weekly revenue expectations.
💡 Calculation:
Grilled dorade example:
- Expected sales: 8.7 portions per week
- Selling price: €24.50 incl. VAT = €22.48 excl. VAT
- Weekly revenue: 8.7 × €22.48 = €195.58
Per month: €195.58 × 4.3 = €841 extra revenue
Verify food costs and profit margins
Revenue numbers mean nothing without profitability analysis. Calculate ingredient costs and ensure your food cost percentage stays under 35%. Otherwise, you're just creating busy work that erodes profit.
Consider kitchen workflow impact too. Dishes requiring extensive prep can bottleneck your entire operation during rush periods.
Test with limited-time offers
Launch as a 2-3 week special first. Track actual sales against your projections to refine your forecasting skills for future additions.
💡 Pro approach:
Many restaurants test new dishes first as a weekend special:
- Weekend 1-2: Measure baseline sales
- Weekend 3-4: Actively promote, measure response
- Week 5: Decide whether it goes on the permanent menu
Track performance with precision
Food cost tracking systems help you monitor actual performance against projections in real-time. You'll spot trends faster and make better menu decisions moving forward.
How do you calculate revenue potential? (step by step)
Select 3-5 similar dishes
Choose dishes with the same main ingredient, price level or preparation method. Note their weekly sales from the last 4-6 weeks.
Calculate the average number of portions
Add up the weekly sales of your similar dishes and divide by the number of dishes. Subtract 20-25% for the introduction period.
Calculate the weekly revenue potential
Multiply your expected portions by the selling price excl. VAT. Multiply by 4.3 for monthly revenue.
Check food cost and profitability
Calculate your ingredient costs and check that food cost stays below 35%. Also factor in extra prep time as a cost item.
Test with a limited period
Start as a weekend special or monthly special. Measure for 2-3 weeks and compare with your estimate before you add it permanently to the menu.
✨ Pro tip
Compare projected sales against actual performance after your first 3 weeks of testing. Document the variance percentage - this becomes your personal accuracy benchmark for estimating future dish potential.
Calculate this yourself?
In the KitchenNmbrs app you can do this in just a few clicks. 7 days free, no credit card.
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Frequently asked questions
What if I don't have similar dishes on my menu?
Focus on dishes in the same price range instead of ingredients. A €25 item often sells at similar volumes regardless of whether it's fish, meat, or vegetarian.
How much do new dishes typically underperform?
Expect 20-30% lower sales than comparable items during the first month. Customers need time to notice and build confidence in unfamiliar menu options.
Should seasonal patterns influence my calculations?
Absolutely. Fish sells better in summer, game thrives in fall and winter, salads peak during warm months. Adjust projections based on your launch timing.
How long should I test before making permanent menu decisions?
Run tests for 3-4 weeks minimum. The first two weeks often show artificially low numbers due to customer unfamiliarity, while weeks 3-4 reveal true sales potential.
📚 Sources consulted
- EU Verordening 852/2004 — Levensmiddelenhygiëne (2004) — Official source
- EU Verordening 853/2004 — Hygiënevoorschriften voor levensmiddelen van dierlijke oorsprong (2004) — Official source
- EU Verordening 1169/2011 — Voedselinformatie aan consumenten (2011) — Official source
- NVWA — Hygiënecode voor de horeca (2024) — Official source
- NVWA — Allergenen in voedsel (2024) — Official source
- Codex Alimentarius — International Food Standards (2024) — Official source
- FSA — Safer food, better business (HACCP) (2024) — Official source
- BVL — Lebensmittelhygiene (HACCP) (2024) — Official source
- Warenwetbesluit Bereiding en behandeling van levensmiddelen (2024) — Official source
- WHO — Foodborne diseases estimates (2024) — Official source
Food Standards Agency (FSA) — https://www.food.gov.uk
The HACCP standards shown in this application are for informational purposes only. KitchenNmbrs does not guarantee that displayed values are current or complete. Always consult the FSA or your local authority for the latest regulations.
Written by
Jeffrey Smit
Founder & CEO of KitchenNmbrs
Jeffrey Smit built KitchenNmbrs from 8 years of hands-on experience as kitchen manager at 1NUL8 Group in Rotterdam. His mission: give every restaurant owner control over food cost.
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