ProblemsWe Keep Discounting to Win Deals › E-commerce & DTC

We Keep Discounting to Win Deals
in E-commerce & DTC

Routine discounting is usually a proof problem and an incentive problem, and almost never a price problem. This page works through it for e-commerce and DTC brands specifically — including an unedited excerpt from a real analysis of a DTC brand.

The short answer

Routine discounting is usually a proof problem and an incentive problem, and almost never a price problem. For e-commerce and DTC brands, this shows up in a particular place. The numbers that carry the answer are LTV/CAC and contribution margin, and the complication specific to this industry is that retail distribution fixes the customer-acquisition cost but needs working capital the runway cannot fund. The general version of this problem and the one you are actually in have different first moves.

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.

How to tell this is actually your problem

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.

Who this is for — and who it is not

It is for you if you run or finance a DTC brand 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.

What this looks like when the analysis is actually run

Below is an excerpt from a real run of this analysis on a DTC brand. 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 Northaven Goods, a sample company profile used for testing rather than a customer — $62M revenue, 95 people.

Excerpt from a real Percision run · Customer Value Architecture · sample company profile

The move. Turn one-time lifetime-guarantee buyers into recurring 55%-margin members before wholesale consumes runway.

The leak it closes. Reduces paid-media CAC reliance by 8-12% via member referral loop

The assumption it rests on. Pilot cohort of 500 customers achieves ≥35% 12-month repeat-rate — the engine put the probability at 0.7.

What the run committed to
Investment required$180-250K total — $120K platform build (internal dev) + $60-130K pilot marketing and inventory
Expected return23.3× — $42M upside / $1.8M investment; ROI based on actual $72M revenue base
Revenue, year 1$1.8M incremental (8,000 members × $49 × 55% GM × 12 months)
Revenue, year 2$5.4M incremental (18,000 members)
Revenue, year 3$11.2M incremental (25,000 members)

This is one move out of a full analysis. Read a complete report — every page, no email required.

What the engine does with this question

This question routes to Pricing & Revenue Optimization, one of 29 engagements the platform runs. For e-commerce and DTC brands it works through LTV/CAC, contribution margin, paid media as % of revenue and repeat purchase rate, 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.

Questions people ask about this

How do I stop my sales team discounting?

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.

Is discounting always bad?

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.

What do I do about customers who already get large discounts?

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.

Is this different in e-commerce & dtc than in other industries?

Materially, yes. Retail distribution fixes the customer-acquisition cost but needs working capital the runway cannot fund — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are LTV/CAC, contribution margin, paid media as % of revenue, and an answer built on industry-general benchmarks will usually point at the wrong one first.

What data do I need before this analysis is worth running for a DTC brand?

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 LTV/CAC and contribution margin. 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.

When is Percision the wrong tool?

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.

Does Percision replace a lawyer, tax advisor, auditor, or AI implementation team?

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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