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Home/Marketing Psychology/Do Bigger Discounts Actually Make People Buy More?
Do Bigger Discounts Actually Make People Buy More?
Marketing Psychology

Do Bigger Discounts Actually Make People Buy More?

By Swapnil Gadgil
11 Min Read

50% OFF.

40% OFF.

30% OFF.

20% OFF.

10% OFF.

When you see them lined up like that, the answer seems obvious.

More discount should mean more sales.

If 10% off makes a product attractive, 30% should make it even more attractive.

Right?

Not necessarily.

And this is where pricing becomes much more interesting than simply deciding what percentage to put on a red sale banner.

Marketing research has repeatedly shown that discount depth can influence consumer responses. But the effect depends on things such as the product, the original price, how the promotion is framed, what customers expect the product to cost, and what happens after the promotion ends.

In other words:

A bigger discount can make an offer look better. It does not automatically make it a better marketing decision.

Let’s Start With a Simple Experiment

Imagine you’re selling a pair of headphones.

The regular price is ₹5,000.

Now imagine four versions of the same offer.

Version A

10% OFF

₹5,000 → ₹4,500

Version B

20% OFF

₹5,000 → ₹4,000

Version C

30% OFF

₹5,000 → ₹3,500

Version D

40% OFF

₹5,000 → ₹3,000

Which one would get the highest conversion rate?

It is tempting to assume Version D.

After all, the customer is saving the most money.

But there are several questions hiding underneath that assumption.

Does the bigger discount make the product more attractive?

Does it make the original ₹5,000 price look less credible?

Does it make customers wonder why the company can afford to cut the price so much?

Does it train customers to wait for future sales?

Does the additional conversion compensate for the lost margin?

And most importantly:

Are we measuring sales today, or the value of the customer over time?

The First Thing We Need to Separate: Discount Depth vs Discount Value

Consider two offers.

₹100 off a ₹500 product.

That is a 20% discount.

Now:

₹1,000 off a ₹10,000 product.

That is also a 10% discount.

The percentages and absolute savings tell different stories.

Customers don’t always evaluate promotions using one universal mental calculation.

Research on discount framing has found that whether a saving is presented as a percentage or as an amount can influence perceived value and purchase intentions, with the effect depending partly on the product’s price level. :chatgpt-content-reference{index=”1″}

So before asking:

“How big should our discount be?”

there is another question:

“What does the customer actually perceive the saving to be?”

Why 30% Off Feels Different From 10% Off

Discounts communicate more than mathematics.

Imagine seeing:

10% OFF

It can feel like a small incentive.

Now:

50% OFF

That feels like an event.

The product may suddenly appear dramatically cheaper.

But that creates a second effect.

The customer may start asking why.

Why is this product suddenly half price?

Is the company clearing inventory?

Is the product old?

Was the original price inflated?

Is another sale coming next week?

The discount has changed the customer’s perception of the product, not just its price.

That is why discount depth is a branding decision as well as a pricing decision.

The Immediate Sales Question

Let’s say a retailer runs two campaigns.

Campaign A

10% discount.

Conversion rate: 4%

Campaign B

30% discount.

Conversion rate: 6%

At first glance, Campaign B wins.

More people bought.

But now calculate the economics.

If the product has a healthy margin at 10% off and a much thinner margin at 30% off, the extra conversions may not create proportionally more profit.

And there is an even bigger question.

What happens after the promotion?

That is where discount strategy gets interesting.

A Discount Can Change the Customer’s Reference Price

Suppose you normally sell something for ₹5,000.

You run a huge promotion:

Now ₹2,999.

A customer who buys it may feel like they got an incredible deal.

But another customer might see something different.

They may start thinking:

“This product is really a ₹2,999 product.”

Then the sale ends.

The price returns to:

₹5,000.

Suddenly ₹5,000 doesn’t necessarily feel like the normal price anymore.

It can feel expensive.

This is one of the most important hidden risks of aggressive promotions.

The promotion can change what customers believe the product should cost.

Research published in the Journal of Marketing found that promotion framing and depth can affect consumers’ price expectations and subsequent choice after the promotion ends. In particular, high-depth percentage discounts were associated with higher post-promotion price expectations than comparable cents-off promotions in the study. :chatgpt-content-reference{index=”2″}

That means a promotion can affect tomorrow’s pricing environment, not just today’s conversion.

This Is Why “More Discount” Isn’t a Complete Strategy

Imagine two brands.

Brand A

Runs 10–15% promotions occasionally.

The regular price remains credible.

Brand B

Runs 40–60% promotions constantly.

Customers know another sale is probably coming.

Which brand has created a stronger reason to buy at full price?

Probably Brand A.

This is not because discounts are automatically bad.

It is because discount frequency and depth can change customer expectations.

If customers learn that the product is almost always discounted, the headline price can stop functioning as a meaningful reference point.

The Customer May Stop Asking “Should I Buy?”

and start asking:

“Should I wait for a bigger discount?”

That is a very different customer behaviour.

You have moved from creating purchase urgency to creating purchase timing.

The customer may still want the product.

They just don’t want to pay today’s price.

That can become particularly dangerous for brands that depend on healthy full-price sales.

But Deep Discounts Can Have a Legitimate Job

It would be equally wrong to conclude:

“Never use big discounts.”

There are plenty of legitimate reasons for a large promotion.

A retailer may need to:

  • clear seasonal inventory
  • move discontinued products
  • generate trial for a new product
  • reactivate inactive customers
  • create attention around a major event
  • acquire customers in a competitive market
  • increase basket size
  • move customers toward a higher-value product

The strategic question is not:

“Are big discounts good or bad?”

It is:

“What job is this discount supposed to perform?”

Discounts Are Not All the Same

Consider these offers:

20% OFF

₹500 OFF

Buy 2, Get 1

Free shipping

₹500 cashback

Free gift with purchase

Spend ₹3,000 and get ₹500 off

All of them reduce the customer’s effective cost in some way.

But psychologically they are not identical.

They can communicate different things.

They can also change the customer’s behaviour in different ways.

For example, a threshold offer can encourage a larger basket rather than simply reducing the price of the existing purchase.

That connects with the psychology behind free-shipping thresholds, where the customer can become motivated by how close they are to a reward.

What About Premium Brands?

Now consider a luxury product.

Imagine a premium handbag priced at ₹2,00,000.

The brand suddenly announces:

60% OFF — TODAY ONLY.

It may generate attention.

But it may also create a completely different question:

“Why was this ever worth ₹2,00,000?”

For a premium brand, price can be part of the positioning itself.

A permanent race toward lower prices can weaken the meaning attached to the original price.

We explored the other side of this in why luxury brands rarely discount.

The point isn’t that premium brands should never discount.

The point is that a discount can change what the price communicates.

And That’s Where ₹999 Comes In

Discount strategy also connects with another part of pricing psychology.

Consider:

₹1,000

versus:

₹999

The numerical difference is tiny.

But the psychological context can be different.

Our earlier article on why ₹999 can feel different from ₹1,000 looks at the left-digit effect, charm pricing and reference points.

Discounts work within the same broader psychological environment.

The customer is rarely evaluating the final number in complete isolation.

They are comparing it with something.

The original price.

A competitor.

The last price they paid.

The price they expected.

The price they believe the product is worth.

So What Should We Actually Test?

This is where the experiment becomes useful.

Don’t simply test:

10% vs 20%.

Build the experiment around the business question.

Experiment 1: Discount Depth

Keep everything identical.

  • Same product
  • Same audience
  • Same landing page
  • Same traffic source
  • Same creative
  • Same duration

Randomly expose customers to:

10% vs 20% vs 30%.

Measure:

  • conversion rate
  • revenue per visitor
  • gross profit per visitor
  • average order value
  • refund rate

Now you aren’t asking:

“Which discount converted best?”

You are asking:

“Which discount created the best economic outcome?”

Experiment 2: Percentage vs Amount

Take a ₹5,000 product.

Test:

10% OFF

against:

₹500 OFF

The economics are identical.

The communication is not.

Research suggests that the effectiveness of amount-off versus percentage-off framing depends on factors including the price level of the product. :chatgpt-content-reference{index=”3″}

That’s exactly why this is worth testing rather than assuming.

Experiment 3: Discount vs Value Add

Now make it more interesting.

Test:

20% OFF

against:

Full price + free accessory.

Or:

Full price + free shipping.

Or:

Full price + extended warranty.

Now you’re comparing a price reduction with additional perceived value.

The winner might surprise you.

Experiment 4: Threshold Promotion

Compare:

15% OFF everything

against:

₹500 OFF when you spend ₹3,000.

The second offer can potentially increase basket size because the customer has a goal to reach.

Now measure:

  • conversion
  • average order value
  • items per order
  • gross margin
  • revenue per visitor

A promotion can therefore be successful even if it doesn’t produce the highest conversion rate.

The Metric Most Marketers Forget

Imagine this:

Campaign A

Conversion: 5%

Average order value: ₹2,000

Campaign B

Conversion: 7%

Average order value: ₹1,400

Campaign B looks better if you’re only watching conversion.

But now calculate revenue per visitor.

Campaign A:

5% × ₹2,000 = ₹100 revenue per visitor

Campaign B:

7% × ₹1,400 = ₹98 revenue per visitor

Suddenly the story changes.

And we haven’t even considered margin yet.

This is why a good experiment doesn’t optimize a single vanity metric.

It connects the customer behaviour to the business outcome.

Then Measure What Happens After the Sale

This is where the experiment becomes genuinely interesting.

Suppose a deep discount brings in more first-time customers.

Great.

Now ask:

  • Do they buy again?
  • Do they buy only during promotions?
  • What is their second-purchase rate?
  • What is their 90-day revenue?
  • What is their contribution margin?
  • Do they respond to regular pricing?

A discount that looks fantastic at checkout may look much less impressive when you follow the customer for several months.

This is exactly why discount strategy connects with customer lifetime value.

The first transaction is not necessarily the goal.

It is the beginning of the relationship.

What the Research Actually Tells Us

After looking across the research, the simplest conclusion is also the most useful:

There is no universal “best discount.”

Research has found that discount depth can influence consumer choice, but the effect is affected by context.

Research on discount framing shows that amount-off and percentage-off promotions can produce different responses depending on product price and other conditions. :chatgpt-content-reference{index=”4″}

Research on promotion depth and framing also shows that promotions can affect consumers’ subsequent price expectations and choice after the promotion. :chatgpt-content-reference{index=”5″}

And a broader meta-analysis covering 19 studies and 86 effect sizes found that amount-off promotions can produce more positive consumer responses in some conditions, with effects moderated by factors including price level, product type and promotion mode. :chatgpt-content-reference{index=”6″}

So the marketing lesson isn’t:

“Give a bigger discount.”

It is:

“Understand what the promotion is changing in the customer’s decision.”

The Bigger Discount Can Win the Wrong Battle

Imagine two marketers presenting their results.

Marketer A:

“Our 40% discount increased conversion by 35%.”

Marketer B:

“Our 15% discount increased profit per visitor by 18%, while keeping repeat purchase behaviour stable.”

Which campaign actually performed better?

That depends on the business objective.

But the second marketer is asking a more mature question.

They aren’t simply trying to make the number on the dashboard go up.

They are trying to understand the economics behind the behaviour.

When Bigger Discounts Make Sense

A deeper discount can be strategically useful when:

  • inventory needs to move quickly
  • the product is seasonal
  • customer acquisition economics support it
  • trial is strategically important
  • the brand is intentionally positioned around value
  • the promotion has a clear start and end
  • the margin structure can support the discount

In those situations, the discount has a job.

When Bigger Discounts Should Make You Nervous

Be more cautious when:

  • customers already wait for sales
  • the brand relies on premium positioning
  • the original price becomes difficult to believe
  • discounts are becoming increasingly frequent
  • full-price demand is weakening
  • margins are already thin
  • customers are buying only because of the promotion

In those situations, a bigger discount may solve the immediate conversion problem while making the underlying problem worse.

The Brand Yaatra Experiment Checklist

Before launching the next sale, ask:

  1. What behaviour are we trying to change?
  2. Why is a discount the right tool?
  3. What is the smallest incentive that could achieve the objective?
  4. Are we testing discount depth or discount framing?
  5. What is our control group?
  6. What is our primary business metric?
  7. What happens to margin?
  8. What happens to average order value?
  9. What happens after the promotion ends?
  10. What happens to repeat purchases?

If you cannot answer these questions, you probably aren’t running a pricing experiment yet.

You’re just putting a different number on the banner.

Brand Yaatra Takeaway

Discounts are seductive because the logic feels obvious.

Lower price.

More attractive offer.

More customers.

More sales.

But marketing rarely works in such a straight line.

A discount changes more than the amount someone pays.

It can change perceived value.

It can change the reference price.

It can change what customers expect to pay next time.

It can change the brand’s positioning.

It can change margins.

And it can change which customers you attract.

So the next time someone says:

“Let’s make the discount bigger.”

don’t immediately ask:

“How much bigger?”

Ask:

“What are we trying to learn?”

Then test it.

Because the best discount isn’t necessarily the one that makes the biggest number of people buy today.

It may be the one that creates the strongest combination of:

  • conversion
  • profit
  • customer quality
  • repeat purchase
  • and long-term brand value.

That’s the difference between running a sale and running a marketing experiment.

Frequently Asked Questions

Do bigger discounts always increase sales?

No. Larger discounts can increase the attractiveness of an offer, but their effect depends on the product, price, customer, promotion framing and competitive context. A larger discount can also reduce margin or influence customers’ future price expectations.

Is 30% off better than 10% off?

Not automatically. The better promotion depends on the business objective. A 30% discount may generate more conversions but still produce less profit than a 10% discount if the additional sales do not compensate for the margin reduction.

Should marketers test discount percentages?

Yes, when the traffic volume and economics make a controlled test practical. Testing different discount depths while holding other variables constant can help estimate how customers respond to different offers.

Should a discount experiment measure conversion rate?

Yes, but conversion should not be the only metric. Revenue per visitor, gross profit, average order value, refund rate and subsequent purchase behaviour can provide a much more useful picture of the promotion’s business impact.

Can discounts hurt a brand?

They can. Frequent or deep discounting can change customers’ expectations about what a product should cost and may weaken premium positioning. The effect depends heavily on the brand, category and promotion strategy.

Is a percentage discount better than a fixed-amount discount?

There is no universal winner. Research suggests that the relative effectiveness of percentage-off and amount-off framing depends on factors such as product price and promotion context.

What is the most important thing to test?

Test the business outcome you actually care about. If the goal is profitable growth, don’t declare a promotion successful simply because it produced the highest conversion rate.

Sources & Further Reading

  • González, Esteva, Roggeveen & Grewal — Amount off versus percentage off—when does it matter?, Journal of Business Research.
  • DelVecchio, Krishnan & Smith — Cents or Percent? The Effects of Promotion Framing on Price Expectations and Choice, Journal of Marketing.
  • Yuan et al. — When do amount-off discounts result in more positive consumer responses? Meta-analytic evidence, Psychology & Marketing.
  • Research on discount depth, price expectations and consumer choice.
Author

Swapnil Gadgil

Swapnil Gadgil is a digital marketing professional with 8+ years of experience across agency and MNC environments. He is the creator of Brand Yaatra, where he explores digital marketing, AI, brand strategy, marketing psychology and the journeys behind successful brands.

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