Problems › We Do Not Know Which Products Make Money › Restaurants & Food Service
Every casual dining operator has a revenue channel that everyone assumes is profitable, and it is usually the one being subsidised. What makes this harder for casual dining restaurants is structural: delivery contributes 31% of revenue at 3.9% net margin versus 14.8% on dine-in while straining kitchen capacity. Any credible answer therefore has to hold 8.6% EBITDA margin and 31% delivery revenue in the same view, which is exactly where most internal analysis stops because the two live in different systems.
Every casual dining operator has a revenue channel that everyone assumes is profitable, and it is usually the one being subsidised. What makes this harder for casual dining restaurants is structural: delivery contributes 31% of revenue at 3.9% net margin versus 14.8% on dine-in while straining kitchen capacity. Any credible answer therefore has to hold 8.6% EBITDA margin and 31% delivery revenue in the same view, which is exactly where most internal analysis stops because the two live in different systems.
Channel-level contribution is genuinely hard because most costs such as kitchen labor and capacity are shared, and the usual allocation by revenue quietly reverses the picture. Delivery brings in 31 percent of revenue yet returns only 3.9 percent net margin while dine-in returns 14.8 percent; allocating shared costs in proportion to revenue therefore makes the high-revenue channel appear efficient and the lower-revenue channel appear costly, which is backwards when delivery slows table turns and consumes disproportionate capacity.
A workable approach records only costs that can be traced directly to each channel, such as food cost at 33.4 percent, and leaves the remainder in a single unallocated pool. The result is a contribution figure for dine-in, a contribution figure for delivery, and one honest block of shared overhead that the CFO can examine without defending an arbitrary split.
The picture that emerges is usually uncomfortable. A minority of channels, chiefly dine-in, carries the operation while at least one long-standing channel has been running at a loss for years with the assumption that volume alone made it worthwhile.
These three together are the signature. One on its own usually points somewhere else.
✓ Overall EBITDA margin of 8.6 percent is the only profitability number presented in weekly or monthly reporting.
✓ No channel has been added or removed in years despite repeated discussion of third-party delivery performance.
✓ The CFO and the operations lead give materially different answers when asked whether delivery covers its share of kitchen capacity.
The move that usually makes it worse. Fully absorbing every overhead item into dine-in and delivery on a revenue or cover basis, which produces a precise margin for each channel built on an arbitrary rule and then defended because the worksheet looks complete.
It is for you if you run or finance a casual dining restaurant and product profitability is quoted as a company-wide gross margin. It is the situation where the numbers are available but nobody has put them in an order that produces a decision.
It is not for you if Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
Below is an excerpt from a real run of this analysis on a casual dining restaurant. It is a sample profile rather than a customer, and it is unedited engine output — this is the format you get, on your own numbers.
The subject is Ferro & Vine Restaurant Group, a sample company profile used for testing rather than a customer — $98.4 M system-wide revenue across 22 locations.
Excerpt from a real Percision run · Quick Market Scan · sample company profile
The move. Cap third-party delivery at 25 % and re-deploy the $3.4 M FY2026 budget to drive 6 pp of dine-in recapture across the 22 existing sites.
| Investment required | $0.8–1.2 M over 18 months (marketing reallocation + server incentives + modest curbside signage) |
| Expected return | 2.4×–3.1× within 18 months |
| Revenue, year 1 | $96.8–99.2 M (flat to +1 %) |
| Revenue, year 2 | $99.5–103.4 M (+2–5 %) |
| Revenue, year 3 | $102.1–108.7 M (+3–6 %) |
| Exit criteria | If, by Month 9, delivery mix has not fallen below 28 % OR dine-in covers have not risen by at least 3 pp, the CEO must decide by Month 10 whether to (A) pivot remaining budget to direct-order app BUILD or (B) accept permanent delivery mix at 28–30 % and re-forecast group EBITDA at 7–8 %. |
This is one move out of a full analysis. Read a complete report — every page, no email required.
This question routes to Matrix Strategy, one of 29 engagements the platform runs. For casual dining restaurants it works through 8.6% EBITDA margin, 31% delivery revenue, 2.9 table turns and 33.4% food cost, then produces the sequence rather than a list of options — which move first, what it funds, and the observation that would say the sequence is wrong.
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Almost never for the decision at hand. Traceable costs plus an unallocated pool gets you the ranking, and the ranking is what you act on. Full ABC is a project that frequently outlives the decision that prompted it.
Say so explicitly and price the support. A loss-making line that genuinely pulls profitable revenue is a marketing cost with a name, which is a fine thing to be — as long as somebody decided it.
Annually, and after any significant mix change. The ranking is more stable than the numbers, so the exercise gets cheaper each time.
Materially, yes. Delivery contributes 31% of revenue at 3.9% net margin versus 14.8% on dine-in while straining kitchen capacity — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are 8.6% EBITDA margin, 31% delivery revenue, 2.9 table turns, and an answer built on industry-general benchmarks will usually point at the wrong one first.
Less than most people expect. Your last twelve months of revenue and cost split the way you already split it, plus whatever you hold on 8.6% EBITDA margin and 31% delivery revenue. The analysis is explicit about what it is assuming where your data stops, which is more useful than waiting for numbers you may never have.
Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
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