Discount Conditioning: Are Brands Training Shoppers to Wait?

I went looking for a specific shopper. The one who fills a cart, walks away on purpose, and sits back waiting for the 10% off email to land. Every abandoned-cart flow ever built assumes this person is out there in volume, and I assumed I would find them saying so.

I found one. Out of 2,128 comments, exactly one person describes the full sequence, and they describe it beautifully, so I have quoted them below. Everybody else is doing something much less interesting and much more expensive to fix.

About this study

Two things about the corpus that you should carry into the sections below. First, it has two halves that do not mix: about 1,832 comments are shoppers talking to other shoppers, and about 296 are sellers talking to other sellers, from 17 merchant threads. Section 4 rests on that smaller half and it is the thinnest part of this study. Second, about 18% of the comments mention video games. Not a mistake, and I did not strip it out. Games are the category where the waiting habit has already gone all the way, so the language there is the most developed, but it does lift the "wait for a deep discount" figures. Where it matters I have said so in place.

The research question

Are repeated promotions, welcome offers and abandoned-cart codes teaching people to delay purchases or leave carts on purpose until a discount appears, and when does discounting start to weaken willingness to pay full price? The short version: the conditioning is real, the mechanism is not the one in the brief, and the fastest-moving part of the loop is happening on the seller's side rather than the shopper's.

1. What makes someone decide to wait

Almost none of this is a reaction to a message you sent. Most of it answers a calendar the shopper has already memorised.

The top theme is mostly the big retail calendar, and the second is your version of it. A brand that runs a sale every six weeks has published a timetable whether or not it meant to, and people read timetables.

That first quote is the only comment in the whole corpus that uses the word "conditioned" about itself. Three comments total use any form of trained, taught or conditioned, and two of those are sellers describing what a platform did to their customers. People are extremely good at describing the behaviour and almost never name the cause.

The fourth theme is the one I underrated going in. A wishlist turns waiting from an act of discipline into a background process. Nobody is resisting anything; they just put the thing on a list and get on with their life.

A tax on people who can't wait. The clearest statement of the problem in this whole corpus, and it came from a thread about video games.

2. What people do to make a discount appear

Here is the section the brief was built around, and it does not go the way the brief expected.

The winning tactic does not involve your site at all. People leave, search your brand name plus "coupon", and come back with whatever the aggregators are holding. The interesting consequence is that your own welcome code is competing against a code you issued eighteen months ago and forgot about.

Third place is the one that should worry anyone running a welcome offer, because it treats "new customer" as a renewable status rather than a fact.

And here is the one person in 2,128 comments who runs the exact sequence the abandoned-cart flow was invented to catch. I am quoting it in full because it is the complete recipe, start to finish, and because it is a sample of one.

3. Why the listed price stopped being believed

This section runs across the whole corpus, sellers included, because both halves argue about it and they do not disagree much.

The top theme has a one-line version that shows up almost word for word in several threads.

Theme three is where the loop closes, and it should be read alongside section 4. Shoppers now check. Price history tools moved this from suspicion to evidence, and a surprising number of comments cite a specific tracked number rather than a general complaint.

One thing I expected to find here and did not: guilt. I went looking for people describing themselves as suckers or idiots for having paid full price, on the theory that a conditioned market would develop a shame reflex about it. Thirteen comments in the whole corpus, and roughly half of those are about video games. The emotional register is closer to mild contempt for the price itself than to any kind of embarrassment.

4. What sellers describe from the other side

This is the smaller half of the corpus, 296 comments from 17 threads where independent sellers discuss the same mechanics from behind the counter. Treat the shares as indicative rather than firm. The content, though, is the most useful material in the study, because sellers describe the shopper behaviour that shoppers do not describe about themselves.

Start with the gap. Sellers are near-unanimous that buyers abandon carts on purpose. Shoppers, in 1,832 comments, mention doing it once. Both groups cannot be right, and the sellers are the ones looking at the data.

Theme two is the one to carry into a pricing meeting. A quarter of the coded seller mentions describe the same move: set the list price high enough that everybody can use the coupon, then treat a full-price order as a windfall.

Read those against section 3 and the machine is fully assembled. Sellers raise the base price so the discount is affordable. Shoppers notice the raised base price and conclude the full price is fiction. Having concluded that, they wait, which raises the share of orders that need a discount, which raises the pressure to lift the base price again. Nobody in the loop is behaving unreasonably.

Theme five is the detail I did not see coming, and it is nearly a product bug. On at least one platform the recovery coupon now fires while the shopper is still browsing, which means it is not recovering anything, just discounting a sale that was already going to happen.

That jump from 15% to 50%, and the other seller's 75%, is the only place in this corpus where you can watch conditioning happen on a clock. Nothing changed about the shopper. The friction was removed, and the behaviour followed within weeks.

And the sellers who refuse get a complaint rather than a shrug.

5. What still gets bought at full price

The smallest section, 48 coded mentions, and the one I would re-run with a bigger corpus. The ranking is still clear enough to be useful, and it is not the ranking that loyalty decks assume.

The top theme is almost entirely apparel, and it is mechanical rather than emotional. Waiting has a known failure mode, and everyone who has been burned by it says the same thing.

Theme three names specific brands over and over, and the list is short and consistent: Lululemon, Aritzia, Apple, Nintendo, a handful of others. What those brands share in this corpus is less affection than the simple fact that nobody can construct a reason to wait.

The number nobody names

I tried to answer the obvious follow-up question about what size of discount actually ends the wait. The honest answer is that I mostly could not. Only 33 comments in 1,832 name a specific percentage as their trigger. Among those 33, half off is the most common answer by a wide margin, appearing 12 times, and roughly 55% of the named thresholds sit at 50% or higher, although video-game threads lift that considerably.

Thirty-three is a small number for a corpus this size, and I do not have a confident explanation for why it is so small. People describe waiting constantly, in detail, with brand names and dates attached, and then simply never say what would stop them. Maybe the threshold is an event rather than a number for most people, so the question does not come up. Maybe it is there and my patterns were too literal about how someone writes a percentage. Either way, if you are setting a discount depth this week, this corpus will not settle it for you, and I would rather say that than dress up 33 comments as a finding.

One thing the small sample does say clearly: the 5% and 10% offers show up mainly as objects of ridicule. That matches what the unsubscribe study found about promotional email in general, where frequency without a reason to open is the fastest route to being ignored.

What the brief got wrong, and what it got right

The brief I started from had a hypothesis in it: recovery emails and welcome codes are creating a population of strategic waiters who stall at checkout on purpose. The shopper half of this corpus does not support that. One person in 2,128 comments describes the tactic, and the tactic ranks last among the things people say they do.

But the brief was right about the conditioning, just wrong about where it lives. The loop that is actually running is short and it is mostly on your side of the transaction. A platform makes the recovery discount effortless, so redemption jumps from 15% to 50% without any shopper changing their mind about anything. The seller raises the base price to absorb it. The raised base price becomes the evidence a shopper cites when they say the full price is not real, and once they believe that, waiting is simply the rational thing to do. Every step is a reasonable local decision.

The other thing worth taking from this: the discount the shopper eventually uses is often not yours. Fifty-nine percent of coded tactics involve going and finding a code somewhere else. You can fix your flows, your timing and your base price and still hand the margin to an aggregator holding a code you issued in 2024 and never expired. Cheapest thing to audit on this entire list, and almost nobody does it.

A customer glossary

If you work on pricing, lifecycle or CRO in ecommerce, these are terms already circulating among the people you sell to.

Frequently asked questions

Do shoppers deliberately abandon their cart to trigger a discount?

Far less often than the tactic's reputation suggests. Of about 101 coded tactics described in shopper conversations, only about 1% involve leaving an item in the cart and waiting for a recovery email. Looking up a public code on a coupon site or browser extension accounts for about 59%, asking the brand for a price match or price adjustment about 18%, resetting a new-customer offer with a fresh email or account about 12%, and taking the welcome code from a signup popup about 10%. Sellers describe the abandonment tactic as common, and shoppers rarely describe doing it, which is the widest gap in this study.

Why do customers wait for a sale instead of buying at full price?

Mostly because they already know when the next sale is. Of about 186 coded reasons for waiting, roughly 53% name a sale date the shopper can predict, such as Black Friday, Prime Day, an end-of-season markdown or a twice-yearly brand event. About 19% describe a brand's own promotional rhythm as predictable, about 11% say nothing forces the purchase to happen now, about 11% mention a wishlist, price tracker or alert that makes waiting effortless, and about 6% name a personal price ceiling the full price sits above.

Does frequent discounting reduce willingness to pay full price?

The comments describe a loop rather than a one-way effect. Of about 97 coded reasons the listed price is no longer believed, roughly 29% say the sale is permanent so the higher number is not a real price, about 27% call the pricing deceptive, fictitious or illegal, about 24% describe the price being walked up shortly before it is cut, about 13% treat MSRP or the reference price as a made-up number, and about 7% say the discount offered is too small to move anyone. On the seller side, about 25% of coded merchant mentions describe raising the base price to fund the discount, the same practice shoppers cite as proof the full price is fake.

What discount do shoppers actually wait for?

Very few name a number. Only 33 comments in this corpus state a specific percentage that would end their wait, and among those, 50% off is named most often, in 12 of 33 cases. Roughly 55% of the named thresholds sit at 50% or higher, though that figure is lifted by video-game discussions where deep platform sales are normal. The more common pattern is not a threshold at all: people describe waiting for an event rather than for a number.

What still gets bought at full price?

Scarcity does most of the work. Of about 48 coded reasons for paying full price, roughly 40% describe an item selling out or a size or colour disappearing before the sale arrives, about 23% describe wanting the money to reach a small maker or shop, about 21% say the brand genuinely never discounts so there is nothing to wait for, and about 17% say they needed it immediately. In apparel especially, shoppers report that whatever survives to the sale rack is not in their size.

This report analyzes consumer and seller language in public discussions. Nothing here is pricing, legal or regulatory advice, and it makes no claim about the pricing practices of any named retailer or platform. References to deceptive, fictitious or illegal pricing appear here as consumer opinion rather than as findings of fact, and none of them has been verified against any company's actual pricing records. Percentages are the share of coded mentions within a single section and are never compared across sections. Figures are directional estimates from this corpus rather than a census of shopper behaviour, and what people report doing is not always what they do. About 18% of the corpus mentions video games, which lifts the deep-discount figures in sections 1 and the threshold analysis. Section 4 rests on 296 seller comments from 17 discussions and should be read as indicative.