The Uncomfortable truth about promo revenue

Discount emails are one of the highest-performing tools in ecommerce.

Welcome emails with a discount convert 2–3x higher than those without.
Abandoned cart flows with a discount recover up to 12% of lost sales.
Across the board, email delivers $36–$72 for every $1 spent: the highest ROI of any digital channel.

Open rates climb, Click-throughs follow, revenue lands – and for a moment, the dashboard looks good. The problem is that they work so consistently that brands start leaning on them in ways that start causing damage over time.

Take a look at any mid-sized DTC brand operating for three or more years, and a pattern appears with uncomfortable regularity: the promotional calendar gets denser over time. What started as a Black Friday campaign becomes a November event, then an October warm-up. The 20% off “exclusive” reserved for loyal customers gets extended to the full list because the numbers were so strong. The flash sale that was supposed to be a one-time clearance gets repeated the following quarter because revenue was down.

Nobody makes a deliberate decision to become discount-dependent. It happens through a series of rational, locally correct choices.

And by the time the pattern is visible, it’s already embedded in customer expectations, forecasting models, and the brand’s implicit pricing contract with its audience.

The dependency cycle

Discount dependency rarely arrives as a strategic choice. It arrives as a forecast.

A brand has a slow month. The pipeline looks thin. Someone in the room says: “We could do a quick promo, we did 30% over target last time we ran one.” The promo goes out. The number is hit. The quarter closes cleanly. That decision gets remembered.

The next slow month, the conversation is shorter. The promo goes out faster. The lift is slightly smaller, because a portion of the list already bought last time, and another portion is starting to wait, but it still works. It still closes the gap.

Over time, this pattern stops being a rescue mechanism and becomes a planning assumption. Revenue forecasts are built with promotional spikes baked in. Campaign calendars are structured around them. The question shifts from “should we run a promo?“ to “what’s this month’s promo?”

This is the dependency cycle, and it’s self-reinforcing in three ways:

1.  It trains the customer: A subscriber who has received eight promotional emails in twelve months has learned something – full price is optional. They don’t make that calculation consciously, but their behavior reflects it. They browse, they add to cart, and they wait. Open rates on non-promotional emails quietly decline, because the implicit promise of the channel has changed.
2. It distorts internal benchmarks: When promotional campaigns consistently outperform standard sends, teams start optimizing for that pattern. Non-promotional emails begin to look underperforming by comparison, even if their absolute contribution to revenue is healthy. The bar gets recalibrated around spikes, which makes everything else look flat.
3. It creates forecasting lock-in: Once promotional revenue is embedded in monthly targets, removing it becomes a short-term loss that’s hard to justify. The brand isn’t choosing to discount, it’s discounting to meet a number that was built assuming it would.

And this cycle is hard to break, because every step inside it looks rational. That’s what makes it a structural problem rather than a behavioral one.

What “brand equity” means in ecommerce terms

“But Gabriel, what even is brand equity?”

I’m glad you asked. It’s one of those terms that gets used often and measured rarely. So let’s make it clear:

• Brand equity is the commercial value a brand adds to a product beyond its functional worth. In ecommerce terms, it’s what allows one brand to sell the same product at a higher price than a competitor and convert consistently at that price.
  It shows up in four measurable ways: pricing power, full-price conversion rate, margin stability, and customer patience. When brand equity is strong, customers buy because they value the brand. When it erodes, they buy because the price was reduced enough to make the decision easy.
• Pricing power. Can your brand sell at full price, consistently, without requiring an incentive to convert? Pricing power is the most direct expression of brand equity. It reflects how much perceived value your product carries independently of its price tag. A brand with strong pricing power doesn’t need to close the gap between willingness-to-pay and ticket price with a coupon. Its positioning does that work.
• Full-price conversion rate. What percentage of your revenue is generated at full margin, outside of promotional windows? This is the clearest indicator of whether customers buy because they value the product, or because the price has been reduced to the point where the decision becomes easy.
• Margin stability. Healthy brands show relatively consistent gross margins over time. Discount-dependent brands show margin profiles that are volatile, with peaks during promotional periods and troughs in between, reflecting a customer base that concentrates purchasing behavior around incentive windows.
• Customer patience. How long is your audience willing to wait between touches before purchasing? High-equity brands maintain purchase intent across longer cycles. Lower-equity brands, particularly those that have trained their list to expect frequent offers, see intent decay faster, requiring more frequent stimulation to maintain conversion volume.

The long-term cost of over-discounting

If the dependency cycle is how brands drift into structural discounting, this is what the drift actually costs. The damage doesn’t appear in a single quarter, it accumulates quietly across five interconnected dimensions.

1. Price anchoring 

Customers don’t evaluate prices in absolute terms, they evaluate them relative to a reference point. For a brand that runs frequent promotions, that reference point shifts. A product listed at €120 stops being perceived as a €120 product if the customer has bought it twice at €84. The full price doesn’t disappear from the website, it just stops being the price anyone expects to pay. Once that anchor moves, it’s extraordinarily difficult to reset without a deliberate, sustained repositioning effort.

2. Margin compression 

This one is arithmetically unavoidable. A 25% discount on a product with a 55% gross margin doesn’t reduce profit by 25%, it reduces it by significantly more, depending on fixed cost structure. Brands that normalize promotional pricing often underestimate the cumulative margin impact because they’re measuring campaign revenue, not campaign profitability. So the top line looks active, and the bottom line tells a different story.

3. Revenue volatility

Discount-dependent brands develop uneven revenue profiles, spikes around promotional windows, softness in between. This creates operational complexity: inventory planning becomes harder, cash flow becomes less predictable, and the business becomes increasingly difficult to scale efficiently. It also makes performance reporting misleading, because strong promotional months can mask a deteriorating baseline.

4. Declining full-price behavior 

This is perhaps the most insidious cost, because it compounds over time and is slow to surface. As a customer base becomes trained to wait for promotions, the proportion of revenue generated at full price gradually shrinks. It doesn’t drop off a cliff, it erodes by a few percentage points per year, which looks manageable until it isn’t. By the time the trend is visible in the data, reversing it requires more than a change in email strategy.

5. Lower long-term LTV 

Customer lifetime value is a function of purchase frequency, average order value, and retention. Discount dependency tends to compress all three over time. Promotional customers often have lower AOV outside of sale periods, higher churn rates once the incentive cadence slows, and weaker emotional connection to the brand, because the relationship was built on price rather than value. The acquisition cost doesn’t change – the return on it does.

Taken individually, each of these effects is manageable. Taken together, and compounded over two to three years, they represent a meaningful and largely silent erosion of business value.

Why this is particularly risky for fashion and premium brands

Every ecommerce brand that over-discounts pays a price. But for fashion and premium brands, the cost structure is different – because the product itself is partly aspirational, and aspiration doesn’t hold up well against ubiquitous discounting.

Moreover, premium positioning is built on a specific psychological contract with the customer: the price is part of the signal. It communicates quality, exclusivity, and belonging to a particular taste level. When that price is regularly and visibly reduced, the signal changes – not immediately, but steadily. A customer who has bought the same product twice at 30% off has mentally repriced your brand. Getting them back to full price isn’t a campaign problem. It’s a positioning problem.

The brands most exposed are those in the mid-to-premium range, too expensive to compete on price with mass-market players, too promotional to sustain the perception that justifies their pricing.

“Is that why Hermès doesn’t do discounts?”

Exactly. And that’s not irrational conservatism, it’s a deliberate protection of the pricing contract that makes the entire model work. The lesson translates further down the market than most mid-premium brands are willing to admit.

A disciplined alternative

The argument here is not that brands should stop discounting. Promotions have a legitimate role in ecommerce – clearing aged inventory, reactivating lapsed customers, rewarding genuine loyalty, and competing during high-intent seasonal windows. The question worth asking is whether they’re being deployed with enough intention, or whether they’ve simply become the default.

A more sustainable approach rests on three principles:

1. Segment before you send

.The most damaging form of discounting is the blanket offer – the same percentage off, to the entire list, on a calendar-driven schedule. Segmentation changes the equation entirely. A reactivation discount sent exclusively to subscribers who haven’t purchased in 180 days is a different instrument, it targets customers genuinely at risk of churning, where the margin concession is justified by retention value. So the discount doesn’t disappear, it just gets deployed where it earns its cost.

2. Protect your full-price segment

High-value, full-price customers are the most important segment on any ecommerce list, and the most frequently underserved by promotional strategies. They convert without incentives, retain longer, and refer more. They should be explicitly excluded from broad promotional campaigns and receive early access, editorial content, and service-level recognition instead. The goal is to deepen the relationship on terms that reinforce the value they’ve already demonstrated.

3. Separate promotional and non-promotional revenue in your reporting

When the two are reported together, spikes obscure the baseline. Separating them forces an honest question: is the underlying full-price trajectory growing, stable, or eroding? It makes the true cost of each promotional campaign visible, and that visibility is where better decisions start.

The goal is not to abandon promotions, the goal is to deploy it where it earns its cost.

A diagnostic framework

Before a brand can change its relationship with discounting, it needs to know how deep that relationship runs. The following diagnostic is not a formal audit, it’s a set of questions that, answered honestly, will indicate whether a brand has drifted from tactical discounting into structural dependency.

• Look at your revenue distribution first: Pull the last 12 months of email-driven revenue and tag each campaign as promotional or non-promotional. Then ask: what percentage of total email revenue was generated during promotional windows? If the answer is above 60%, the dependency is likely structural. If promotional campaigns are also the only sends that reliably hit benchmark open and click rates, the list has been trained.
• Measure your full-price conversion trend: Not the absolute rate, the trend. Is the percentage of orders placed at full price increasing, stable, or declining year over year? A declining trend in the absence of deliberate strategic change is a signal that customer price expectations are shifting. Audit your promotional frequency over time: Count the number of promotional emails sent per quarter over the past two years. Most brands that are discount-dependent will find the number has increased through the accumulation of one-off exceptions that became habits. If the cadence has increased by more than 30% over 24 months without a corresponding increase in list size, the pattern is worth examining closely.
• Assess margin variance across campaign types: Compare the gross margin profile of promotional periods against non-promotional periods. A healthy brand will show some variance, promotions naturally compress margin. A dependent brand will show that the majority of its margin-positive volume is concentrated in a small number of high-discount windows, with thin or volatile margins in between. That concentration is the risk.
• Survey purchase timing behavior: If your platform allows it, look at the time elapsed between a customer receiving a promotional email and their last previous purchase. A high proportion of purchases that follow promotional sends from customers who were actively browsing before the send, but hadn’t converted, is a strong indicator of wait-and-discount behavior. These are customers who wanted to buy and chose not to until the price dropped.

No single data point is conclusive. But if three or more of these indicators point in the same direction, the brand is likely operating with a discounting infrastructure it didn’t consciously build, and one that will require deliberate effort to dismantle.

The bottom line

Discounts are not the problem. The problem is when they become the strategy.

A well-used promotion can help you activate demand, clear stock, reward a segment, or create momentum at the right moment. But when discounts are too frequent, too predictable, they slowly change how customers see your brand.

They stop asking: “Do I want this?”
And start asking: “When will it be cheaper?”

That’s where the damage starts. Quietly. 

You will see it in the margins.
You will see it in full-price conversion.
You will see it when selling becomes difficult without an incentive.

As acquisition gets more expensive, retention becomes critical.

And when the quality of the customer relationship matters more than ever, training people to wait before they buy becomes dangerous.

Discounts can be useful. But they should stay a tool, not a business model.

Author bio

Based in Paris, Gabriel Kaam is the CEO and Co-founder of the KNR Agency, France’s leading ecommerce agency specializing in fashion, beauty and luxury brands. Since 2016, he has partnered with global powerhouses such as LVMH, L’Oréal, and Givenchy, developing a deep understanding of how luxury brand marketing can inform and elevate businesses of every size.