Problems › We Keep Discounting to Win Deals › Manufacturing
Routine discounting is usually a proof problem and an incentive problem, and almost never a price problem. This page works through it for manufacturers specifically — including an unedited excerpt from a real analysis of a manufacturer.
Routine discounting is usually a proof problem and an incentive problem, and almost never a price problem. What makes this harder for manufacturers is structural: the $45M automation case depends on the very customer that causes the margin problem. Any credible answer therefore has to hold contribution per machine hour and capacity utilisation in the same view, which is exactly where most internal analysis stops because the two live in different systems.
When discounting becomes normal, the price has effectively been reset to the discounted level and the list price is decoration. That has a cost beyond the margin: it tells the market what you actually charge, and it is very hard to reverse.
The causes are consistent. The value is not proven, so price becomes the only variable left to discuss. Or the sales incentive rewards closing over margin, in which case discounting is exactly the rational behaviour. Or discretion is unlimited, and unlimited discretion is always used.
The diagnostic is the distribution. If discounts cluster at the end of a quarter or at particular individuals, the cause is incentive and authority, not price.
These three together are the signature. One on its own usually points somewhere else.
✓ Discounts spike at period end
✓ Discount levels vary widely between salespeople for similar deals
✓ Sales asks for price authority rather than for better proof
The move that usually makes it worse. Lowering list price 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 manufacturer 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 manufacturer. 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 Kessler Industrial Components, a sample company profile used for testing rather than a customer — $310M revenue, three plants.
Excerpt from a real Percision run · Quick Market Scan · sample company profile
The move. Automate Cedar Falls to lock in Customer A manifold volumes at 19% lower cost before Mexican alternates scale.
The leak it closes. Scrap rate reduced from 3.8% to 2.1%; 78-minute changeover reduced toward world-class 25 minutes
The assumption it rests on. Customer A does not activate dual-sourcing before automation payback (3.8 years) — the engine put the probability at 0.65.
| Investment required | $45M total |
| Expected return | 24% IRR on $45M investment over 7-year Customer A programme life |
| Revenue, year 1 | $340M (no incremental revenue; cost protection only) |
| Revenue, year 2 | $351M (3% price-down offset by automation savings) |
| Revenue, year 3 | $362M (Customer A volume stability plus new Mexican OEM programmes) |
| Exit criteria | If Customer A dual-source volume migration exceeds 25% by Month 18, cease further automation spend and redirect remaining capex to Querétaro expansion and aftermarket channel build-out. |
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 manufacturers it works through contribution per machine hour, capacity utilisation, customer concentration and scrap, 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. The $45M automation case depends on the very customer that causes the margin problem — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are contribution per machine hour, capacity utilisation, customer concentration, 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 contribution per machine hour and capacity utilisation. 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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