Customer count
New and repeat customers by dine-in, takeaway, delivery, weekday, and daypart
A diagnostic guide that separates traffic, conversion, average check, repeat visits, menu, cost, service, and channel issues before spending more on advertising.
A sales decline is not one problem. Break sales into customer count and average check, then compare by channel, daypart, weekday, menu, and customer type. Fix operational leakage before increasing advertising, because more traffic does not solve low conversion, weak repeat visits, or poor unit economics.
New and repeat customers by dine-in, takeaway, delivery, weekday, and daypart
Average order value, discount level, premium-item share, add-on sales, and low-margin menu share
Search views, calls, reservations, visits, orders, reviews, and repeat purchases
Sales remaining after food, packaging, payment, platform, and promotion costs
A hypothetical store increased advertising after sales fell, but most new visitors did not reorder because the main menu was often sold out and delivery time was unstable. The immediate issue was operating reliability, not awareness.
This is a hypothetical example that does not identify a specific business.Enter your current figures to identify risks and priorities, then connect the result to a consultation when needed.
Share your business type, location, stage, and available figures. We will identify the additional data and consulting scope first.
A practical guide to calculating break-even sales and required daily customer count using fixed costs, variable-cost ratio, average check, and operating days.
Open related guide →A practical guide to ingredient cost, usable yield, waste, side dishes, sauces, packaging, platform fees, contribution margin, sales volume, and preparation time.
Open related guide →A guide to testing market demand, reusing facilities, validating menus, recalculating break-even sales, and converting operations without repeating the original failure.
Open related guide →