49% of UK shoppers delayed a purchase, 43% of Greeks doubt the discounts are genuine, and 83% of Americans start the season with retailers they already trust. Three surveys, three markets, five days apart, and none of them is really about price levels. What they describe is a timing problem: the shopper has learned to wait, and every promotional window that fails to deliver a visibly better number teaches her to wait again. Read together as of November 13, 2026, they change what a price watch should record each week and how a promotional window should be priced.
Three surveys, one behaviour
The useful part of these surveys is not the headline percentage. It is that three independent samples, in three markets, using three different question sets, describe the same shift in behaviour: buyers are no longer deciding whether a price is low, they are deciding whether this is the week the price will be lowest. That is a different question, and it is answered by the promotional calendar rather than by the discount depth.
For a pricing team, this reframes the quarter. The competitor to beat is not the shop across the street; it is the shopper's expectation that a better number is coming. Every additional promotional window that fails to deliver a visibly better price teaches that expectation one more time.
What the waiting numbers actually count
| Market | Source and sample | Headline figure | What it does not say |
|---|---|---|---|
| United Kingdom | KPMG, 3,000 adults | 49% delayed a purchase; 71% of Gen Z | Whether the delay ends in a purchase at all |
| Greece | EY Future Consumer Index, national sample | 67% intend to shop; 43% doubt the discounts | How much of the doubt is about depth versus honesty |
| United States | Synchrony, In Sync with Consumers | 83% shop with known retailers; 75% hunt for the best price | Whether loyalty is a preference or a default |
Put side by side, the three figures answer different questions and should not be averaged. The UK number measures deferral, the Greek number measures disbelief, the US number measures the starting point of the search. A retailer that treats all three as "shoppers want bigger discounts" will cut price in the wrong week and still lose the sale.
Trust sits underneath the waiting
The distrust share is the harder number
In the UK sample, 23% said they would not buy anything this Black Friday, and half of that group gave one reason: they do not believe the prices on offer are better than at any other time of year. That is roughly one in eight of all respondents refusing the event on credibility grounds rather than on budget grounds. Discounts do not fix this, because the objection is not that the price is too high; it is that the reference price has stopped meaning anything.
"Genuine" is a comparison, not a label
When a shopper calls a discount genuine, they are usually saying they checked the price before the event and it did not move up first. That makes the pre-event price a published fact worth defending. Retailers that reset reference prices upward in the weeks before a campaign win the first click and lose the second season, because the comparison is now easier to run than it used to be, and more shoppers are running it.
Where the click starts
Direct visits still lead
In the KPMG sample, 53% said they would go directly to a retailer's site or app to find deals, against 30% who rely on email and 25% who go to stores. Free delivery (40%) and free returns (22%) beat every other temptation, including livestream events. The practical reading is that the owned channel is still the highest-intent surface in the funnel, which makes the accuracy of the prices published there more consequential than the size of the discount advertised elsewhere.
AI links are small, but they are being counted now
About 12% said they would ask an AI chatbot for offers, down from 15% a year earlier, while 13% said they would use AI-suggested links from search results, up from 12%. Separately, AI-generated links were reported to account for roughly 5% of purchases on Douyin in October. None of these numbers is large, but each one is measured, which means the channel is now inside the reporting rather than outside it. A brand that is invisible in that surface does not see a traffic drop; it sees nothing at all.
What a price watch should record this quarter
The unit of observation should shift from the deepest discount of the week to the price path of a fixed basket across the whole promotional period. Depth alone will show a market that looks aggressive while the effective selling price has risen. Recording the path, including the two weeks before the first campaign, is what makes the trust question answerable.
Run for a full season, this table answers the question the surveys keep circling: whether the promotional calendar is training buyers to wait. It also shows which discounts survive a comparison the shopper can now run in seconds. Neither answer is available from a campaign-only record, which is why the two weeks before the event matter as much as the event itself.
FAQ
Do these three surveys measure the same thing?
No. The UK figure measures deferral, the Greek figure measures disbelief in discount honesty, and the US figure measures where the search starts. They should be read separately, not averaged.
Is a 49% deferral rate unusual?
Deferral before Black Friday happens every year. What stands out in the KPMG data is the share, and that 71% of Gen Z respondents say they are waiting.
Why record prices before the campaign instead of during it?
Because the trust question is about whether the reference price moved first. A campaign-only record cannot show that.
Does a small AI referral share matter yet?
It matters for measurement. A channel that is counted can be compared across quarters, and visibility there fails silently rather than as a traffic decline.
