Problems › Where Should We Invest Next? › Restaurants & Food Service
Capital allocation goes wrong when the push to increase third-party delivery overrides the arithmetic on net margin per cover. The version of this question that applies to casual dining restaurants is not the generic one. Delivery contributes 31% of revenue at 3.9% net margin versus 14.8% on dine-in while straining kitchen capacity — so an answer that ignores 8.6% EBITDA margin will be confidently wrong. The analysis has to start from 31% delivery revenue and 2.9 table turns rather than from revenue.
Capital allocation goes wrong when the push to increase third-party delivery overrides the arithmetic on net margin per cover. The version of this question that applies to casual dining restaurants is not the generic one. Delivery contributes 31% of revenue at 3.9% net margin versus 14.8% on dine-in while straining kitchen capacity — so an answer that ignores 8.6% EBITDA margin will be confidently wrong. The analysis has to start from 31% delivery revenue and 2.9 table turns rather than from revenue.
Most operators allocate by last period's covers and by the regional manager who makes the strongest case for more marketing support on delivery platforms. Neither connects to which use of the next dollar lifts system-wide EBITDA.
The ranking compares each option on margin after the incremental spend and how long that margin holds. Adding capacity for delivery orders may lift revenue but compresses table turns and leaves the lower net margin intact, while an investment that raises dine-in turns compounds at the higher margin without the same capacity strain.
The output is an ordered list of uses with a clear test for when to stop: first the change that improves average check without adding kitchen load, then the one that protects food cost, stopping when the next step would reduce table turns below the current level.
These three together are the signature. One on its own usually points somewhere else.
✓ The P&L shows delivery share rising while overall EBITDA margin stays flat or declines.
✓ No one has calculated the incremental margin on the last dollar spent on third-party promotions versus on kitchen layout changes.
✓ Decisions get justified by the need to stay visible on the apps instead of by the effect on covers or food cost.
The move that usually makes it worse. Dividing the capital across all locations to avoid conflict with GMs, which leaves the locations with the best dine-in potential underfunded.
It is for you if you run or finance a casual dining restaurant and budgets are set by last year plus a percentage. 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 Growth Portfolio Framework, 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.
You watch the analysis get built before paying anything. Read a complete report here if you would rather see the depth first.
Price the durability explicitly. A return that decays needs a stated half-life; once each option carries one, options with different horizons become comparable rather than a matter of taste.
Usually the strongest, because that is where a marginal dollar compounds. Fixing the weakest is worth doing when it is a constraint on the strongest, and not otherwise.
Then decide on reversibility. When two options return similarly, take the one you can stop, because the value of the information you buy exceeds the difference in the estimates.
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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