Problems › We Keep Discounting to Win Deals › Restaurants & Food Service
Routine discounting is usually a proof problem and an incentive problem, and almost never a menu-price problem. 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.
Routine discounting is usually a proof problem and an incentive problem, and almost never a menu-price problem. 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.
When discounting becomes normal the effective check has been reset to the discounted level and the posted prices are decoration. That has a cost beyond margin: it tells guests what they will actually pay and it is very hard to reverse while protecting average check and food cost targets.
The causes are consistent. The value of the dining experience is not proven so price becomes the only variable left to discuss. Or the incentive for location managers rewards covers and table turns over margin so discounting is exactly the rational behaviour. Or discount authority is unlimited and unlimited authority is always used.
The diagnostic is the distribution. If discounts cluster at the end of a week or at particular locations the cause is incentive and authority not menu price.
These three together are the signature. One on its own usually points somewhere else.
✓ Discounts spike at week or period end to lift covers
✓ Discount levels vary widely between locations for similar average checks
✓ Operators ask for discount authority rather than for stronger proof of the dining experience
The move that usually makes it worse. Lowering menu prices to reflect reality which resets the anchor and produces the same discount off the new number within two quarters.
It is for you if you run or finance a casual dining restaurant and discounts spike at period end. 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 · Pricing Strategy · 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 Pricing & Revenue Optimization, 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.
Cap the discretion and pay on margin rather than on revenue. Discounting is a rational response to a quota measured in revenue with unlimited price authority attached.
No — as a deliberate, structured exchange for something you want, such as term, volume or a reference. As a reflex at the close of a negotiation, it is margin given away for nothing.
Move them at renewal with notice and a reason, and accept that some will leave. The alternative is a permanent two-tier price the rest of the market eventually discovers.
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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