Which discount percentages drive the highest conversion rate?
The answer may not be what you think.
Discounting is one of the most common strategies in marketing.
Need to boost sales? Launch a discount.
Across industries, discounts remain one of the most widely used tools for driving conversion. In a study Aampe conducted across more than 28,000 eCommerce SMS messages and push notifications from retailers including Macy’s, Walmart, and Amazon, more than 81% of messages included a discount. According to that same analysis, 50% off was the single most common discount amount observed.
That raises an important question: are brands choosing the discount percentages that actually drive the best conversion outcomes, or are they simply defaulting to the biggest, loudest offer?
The most common discount is not necessarily the most effective
Aampe’s research found that the most common discount offered was 50% off. That is striking, especially when you consider how damaging steep discounts can be to margin. Shopify notes that profit margins are often relatively thin, which makes aggressive discounting especially risky.The original article also notes Shopify’s observation that eCommerce net profits are often relatively thin, which makes aggressive discounting especially risky.
This is why choosing the right discount amount matters.
Yes, discounts can increase sales volume. But they can also:
erode margin
train customers to wait for promotions
attract lower-intent shoppers
cannibalize purchases that would have happened anyway
That is the hidden cost of discounting: more conversions do not always mean more profitable conversions.
Why marketers need to be careful with discounts
Groupon is still one of the clearest cautionary tales in discount-driven growth. As Wharton noted, deep discounting can cannibalize existing demand, attract low-quality customers, and push merchants into selling below sustainable margins.
One of the biggest problems with broad discounting is that it treats every customer the same.
But customers are not the same.
Some users were already about to buy. For them, a discount just gives away margin. Others were never likely to purchase in the first place. For them, a discount often does not solve the real problem. And then there is the middle group: users who are interested but need a nudge.
That is where discounting can be most effective.
Discount strategy works best when it adapts to user behavior, not just campaign calendars. Aampe helps teams personalize messaging and incentives based on what each customer is actually likely to do next.
The real goal is not to offer the biggest discount
The instinct behind discounting is easy to understand: a bigger offer feels more compelling, so it should convert better.
But that is not always how customers behave.
Aampe’s research found that lower discounts, especially in the 15% to 30% range, outperformed the control group, and 15% off drove the strongest conversion lift versus control. By contrast, larger discounts tended to attract more window shoppers rather than the most valuable buyers.
That is a critical insight.
In many cases, the goal is not to create maximum excitement. The goal is to create just enough motivation for the right customer to take action.
A modest discount can do exactly that.
Why smaller discounts often work better
Smaller discounts can be more effective because they tend to act as a nudge rather than a bait-and-switch on value.
They may work especially well for:
loyal customers already considering a purchase
repeat buyers who just need timing or urgency
shoppers with established trust in the brand
users who have shown clear purchase intent but have not yet converted
In these cases, a 15% or 20% discount may be enough to move someone across the line without sacrificing as much profitability.
Higher discounts, on the other hand, often appeal to a more price-sensitive audience that may not stick around once the promotion disappears.
That concern is not just theoretical. Research on daily-deal customers found that only a relatively small share spent beyond the deal value, and only a minority returned to make a full-price purchase. That lines up with what many ecommerce teams see in practice: customers acquired primarily through steep discounts do not always become the strongest long-term customers.
So which discount percentage drives the highest conversion rate?
Based on Aampe’s findings, the answer is not 50% off.
It is often a lower discount, with 15% off emerging as the strongest performer against the control group in the research summarized in the original post.
That does not mean 15% is universally optimal in every business, every season, or every category. But it does suggest something important:
The best discount is usually not the deepest one.
A smaller discount can preserve more margin, reduce dependency on promotions, and still generate meaningful lift from users who were already close to converting.
Discount effectiveness depends on context
The next question is not just “what percentage works best?”
It is: for whom, when, and under what conditions?
That is where discount strategy becomes much more effective.
1. Product type matters
Discount performance can vary widely by category.
Luxury, premium, or high-consideration products may not need deep discounts to convert. In some cases, steep markdowns can even weaken perceived value. Commodity products, by contrast, may require stronger promotional pressure to stand out.
The right discount depends on customer expectations, competitive intensity, and price sensitivity within the category.
2. Timing matters
The same discount can perform very differently depending on when it is offered.
During peak promotional periods like Black Friday or major holiday sales, consumers may expect larger discounts and compare aggressively across brands. In quieter periods, a smaller offer may be enough to create urgency without conditioning shoppers to only buy on sale.
3. Customer type matters
Different users respond to discounts differently.
Some users are highly price sensitive. Others are more motivated by convenience, relevance, timing, or product fit. Loyal users may respond better to a smaller, more exclusive offer than a blanket promotion sent to everyone.
This is where discounting becomes less about choosing a universal percentage and more about matching the incentive to the user.
The bigger lesson: discounting should be driven by propensity
This is the strongest part of the post, and it is worth developing further because it is where the article moves from generic advice to a real point of view.
The most effective discount strategy does not start with the question:
“What discount should we send?”
It starts with:
“How likely is this person to convert already?”
That shift changes everything.
If a user is already likely to buy
A discount is usually unnecessary.
At that point, the offer is less of an incentive and more of a margin giveaway. If the customer was already going to convert, the discount did not create demand. It simply reduced revenue on a purchase that was likely to happen anyway.
If a user is very unlikely to buy
A discount may not help much.
The user may not trust the brand yet, may not care about the product, or may simply not be in market. In these cases, offering a discount can be ineffective because the real barrier is not price.
A better move might be to send:
a clearer value proposition
stronger social proof
better timing
content that reduces friction or uncertainty
If a user is on the fence
This is where discounts can be most effective.
The original piece points to users who are somewhere in the 60% to 80% likelihood-to-purchase range as the sweet spot. These are users who show meaningful intent but still need a final push. For them, a discount can provide exactly the right amount of motivation without unnecessary over-discounting.
This is the real answer to the discount question:
The best discount depends on buyer propensity.
Not every user should get the same message.
Not every user should get the same offer.
And not every conversion should cost the same amount of margin.
Want to move beyond one-size-fits-all promotions? Aampe helps lifecycle marketing teams learn which users need a discount, which need a recommendation, and which were already ready to buy.
What smart discounting looks like in practice
A smarter discount strategy usually follows a few principles:
Keep discounts as low as possible
If a lower discount can drive the conversion, it is usually the better choice. It protects margin and avoids overtraining customers to expect deep promotions.
Reserve bigger offers for the right use cases
Steeper discounts may still have a place in liquidation, reactivation, clearance, or highly competitive moments. But they should be used intentionally, not by default.
Use behavior, not guesswork
Rather than choosing discounts based on instinct, teams should look at behavioral signals: browsing, repeat visits, cart activity, past purchase timing, engagement history, and responsiveness to previous offers.
Test against control
The right question is not “did the campaign convert?” It is “did the campaign outperform what would have happened anyway?” Aampe explicitly frames its product around ongoing experimentation, control-based measurement, and understanding incremental impact rather than relying on surface-level metrics.
Final takeaway
If you are offering a discount, it is usually better to keep it lower than you think.
Aampe’s research suggests that smaller discounts can outperform larger ones, with 15% off standing out as especially effective relative to control. Larger discounts may generate attention, but they can also attract low-quality demand and create unnecessary margin loss.
The more important lesson, though, is that discount percentage alone is the wrong place to start.
The best discount strategy is driven by user behavior and conversion propensity:
do not discount users who were already going to buy
do not rely on discounts for users who are not interested
use discounts selectively for users who are truly on the fence
That is where discounting stops being a blunt instrument and starts becoming an intelligent growth lever.
Aampe’s broader positioning fits naturally here: its platform is built around learning from user behavior, adapting messaging automatically, and helping teams optimize customer engagement based on real signals rather than rigid rules.
Ready to make discounting more intelligent?
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