How to Know Which Products Actually Make You Money

Most restaurant owners know which dishes are popular. Fewer know which dishes are profitable. And the two are not the same.

A dish that sells 50 times per week at a food cost of 50% is generating less gross profit than a dish that sells 20 times per week at a food cost of 20%. Volume matters. But margin per sale matters more.

The Four Menu Item Types

Menu engineering — a practice borrowed from hospitality management — classifies menu items into four categories based on two dimensions: popularity (volume sold) and profitability (margin generated).

• •Stars: High volume, high margin — your best items. Promote heavily.
• •Plowhorses: High volume, low margin — popular but not profitable. Review pricing or cost.
• •Puzzles: Low volume, high margin — profitable when sold but not ordered enough. Improve visibility.
• •Dogs: Low volume, low margin — remove or revamp.

Understanding which category each dish falls into tells you exactly what to do with it.

Step 1: Get the Volume Data

For restaurants using digital ordering, volume data is automatically available: which items are being ordered, how often, in what time periods. This data exists; the question is whether you're looking at it.

Look at this data weekly or at least monthly. Know your top 10 and bottom 10 sellers by volume. The pattern will tell you things intuition doesn't.

Step 2: Calculate Food Cost per Item

Food cost is what it actually costs you to make each dish — ingredients, portion size, waste factor. This is the part most restaurants do least systematically.

For a rough analysis:

• •List your top 20 items by volume
• •Estimate the ingredient cost per serving for each (you know this better than you think)
• •Calculate: (ingredient cost / selling price) × 100 = food cost %
• •Industry benchmark: 28-35% food cost is typical for many restaurant types

Items significantly above 35% food cost are margin drains. Items below 28% are margin contributors. The combination of volume and food cost tells you the full picture.

Step 3: Act on What You Find

Stars (high volume, high margin)

Protect and promote these items. Feature them prominently in your digital menu, add photos if they don't have them, and never remove them without understanding the impact.

Plowhorses (high volume, low margin)

High volume means customers love them — don't remove them without thought. Options: raise the price slightly (test the price sensitivity), reduce portion size while maintaining quality perception, find lower-cost ingredient alternatives without compromising taste.

Puzzles (low volume, high margin)

These are your hidden profits. They're worth investing in — better photos, better descriptions, featured placement. If the issue is that customers don't know the dish exists, better positioning often solves it.

Dogs (low volume, low margin)

Strong candidates for removal. They're generating complexity in the kitchen (ingredients to source and manage) without meaningful return. Remove them, or move them to a specials rotation.

Common Mistakes in Menu Profitability Analysis

• •Focusing only on revenue, not profit — a high-selling item with 50% food cost may generate less profit than a lower-selling one with 20% food cost
• •Ignoring labour cost — some dishes are labour-intensive (prepared table-side, complex assembly) and the labour cost needs to be factored in
• •Keeping "classic" dishes out of sentiment — remove items based on data, not history
• •Not revisiting the analysis — ingredient costs change. An item that was profitable last year may not be this year.

Menu profitability analysis isn't a one-time exercise. Ingredient costs fluctuate. Customer preferences shift. The menu that was optimized 12 months ago may need recalibration today.

Practical First Step

If you've never done this analysis, start small:

• •Pull your order data for the last month from your ordering platform
• •Identify your top 10 and bottom 10 items by volume
• •For each, estimate the food cost %
• •Plot them: which quadrant do they fall in?
• •Make one decision from the data this week

One good decision based on real data is worth more than a hundred intuition-based ones. The data is there — you just need to look at it.