Shoppers don't doubt your deals are big enough. They doubt they're real. Make every Black Friday discount checkable

The latest research says that's the wrong lever.

YouGov's UK Mega Sales Report 2026, The bots and the basket, asked likely Black Friday and Cyber Monday shoppers what they find hardest about the sales. The top answer wasn't finding a deal. It was knowing whether a discount is genuine, cited by 47%, nine points ahead of finding the best deal (38%). Among Gen X and Baby Boomers+ that rises to 58%.

British shoppers aren't short of offers. They're short of trust. That's a conversion problem, and a fixable one.

Smaller budgets, sharper eyes

Two more data points published this week make the case stronger.

Omnisend's research, reported by Retail Gazette on 3 November, forecasts UK Black Friday and Cyber Monday spending to fall 32% to £9.9bn, with average expected spend per shopper down from £390 to £267. Yet the share of people planning to buy nothing has fallen, from 29.8% to 24.8%. More people will turn up, carrying less money.

The top end is thinning fastest: only 5.1% plan to spend £1,000 or more, down from 12.7% last year, while the share expecting to spend under £100 has more than doubled to 18.4%.

When budgets shrink, people check harder before they commit. And they now have better tools to check with:

• YouGov found 34% of likely shoppers expect to use an AI tool to navigate this year's sales, up from 19% last year (YouGov notes the question wording changed).
• The jobs they'd trust AI with are research jobs: 40% would use it to find the best price, 30% to check whether a discount is genuine. Only 5% would let it complete a purchase.
• Omnisend found 17.5% had already used generative AI to find deals or coupons in the previous six months.

So your "was £120, now £79" will be compared, screenshotted and cross-checked, sometimes by a person and sometimes by an assistant working for them. If the claim doesn't hold up, the sale goes elsewhere.

The rules already require what converts

Here's the optimistic bit: honest pricing isn't only the safe choice, it's the persuasive one, and UK regulators have spelled out what "honest" means.

• The ASA expects a reference price to be a genuine, established usual selling price. It weighs recency, duration, pricing history, sales data and sales channel, and expects to see at least three months of pricing history. Without that data, it may treat the saving as misleading.
• Channel matters. An online "was" price must be the usual price online. A reference price borrowed from a handful of stores, or from a channel where the product barely sold, is unlikely to pass.
• RRPs need care. The Chartered Trading Standards Institute's pricing guidance says an RRP must be a genuine selling price, clearly labelled as an RRP, and never created just to manufacture a discount.
• The stakes are real. Since April 2025, the CMA can decide many consumer-law breaches directly under the Digital Markets, Competition and Consumers Act and fine up to 10% of worldwide turnover. Its October update says online pricing and hidden costs remain a priority, including a review of how retailers disclose delivery fees.

A useful example from the ASA's own guidance: a Boots candle set sold at £60 for 54 days, then £29.50 for 41 days, then back to £60. Boots could show it still sold at full price, so the Black Friday saving stood. That's the standard to aim for: a saving you can prove from your own data.

Seven ways to make discounts checkable (and convert better)

1. Audit your top 50 promoted products before launch. For each, confirm the reference price was the real online selling price for a meaningful period, and that you can export the history. If you can't prove it, drop the "was" price and sell on the offer itself.

2. Show the evidence, not just the strike-through. A short line such as "Our usual price since August: £120" or "Lowest price in the last 30 days" answers the shopper's question before they open a new tab. Test it against a plain strike-through on your highest-traffic promotions.

3. Swap blanket percentages for offers you can explain. Omnisend's Marty Bauer puts it bluntly: "The worst response to a smaller spending budget is a bigger blanket discount." Bundles, loyalty-only offers and a realistic free-delivery threshold are easier to justify and kinder to margin. Price each mechanic against fulfilment and product cost before it goes live.

4. Put the total cost up front. Delivery charges that appear at checkout feel like the discount being clawed back, and they're exactly what the CMA is looking at. Show delivery cost or the free-delivery threshold on product and basket pages.

5. Make product data machine-readable and consistent. If a third of your shoppers are asking an AI to compare prices, your price, availability and identifiers need to match across your site, feeds and marketplaces. Mismatched data reads as a dodgy deal to a person and to a model.

6. Be careful with urgency. Countdown timers and "only 2 left" badges only help when they're true. A fake deadline on a dubious discount compounds the doubt the 47% already feel.

7. Lead with reassurance where people decide. Clear returns terms, delivery dates and price-match or price-protection promises (if you offer them) belong next to the add-to-basket button, not three clicks away.

How to measure it

Pick two or three high-traffic promoted products and A/B test the price block: strike-through only, versus strike-through plus a short price-history line. Watch add-to-basket rate, checkout completion and refund requests, not only conversion. Then compare margin per order between a blanket discount and a bundle or threshold offer on similar products. With smaller baskets forecast, profit per order is the number that matters in December.

The takeaway

The stores that win this peak won't necessarily shout the loudest numbers. They'll be the ones whose numbers survive a second look. Accurate prices, provable savings, total costs shown early and clean product data are what persuade cautious shoppers, and they're what UK rules already ask for.

Why this matters for Clarity Growth

Making a discount checkable sounds like a copy change, but it's usually a systems job. Price history lives in your ecommerce platform, your ERP or your spreadsheets; feeds go out to Google and marketplaces; delivery rules sit in yet another tool. Clarity Growth helps UK retailers connect those pieces so the price on the page is the price everywhere, the evidence is one export away, and promotions can be tested properly. We also run the CRO work itself: auditing promotional pages, designing and running price-presentation tests, and tuning Shopify and other storefronts so trust signals sit where shoppers decide.

If you want a quick pre-peak check of your top promoted products and price presentation, we can help you get it done before 27 November.

Sources

1. YouGov, The bots and the basket: AI's role in Black Friday and Cyber Monday 2026 in Great Britain (UK Mega Sales Report 2026, October 2026; fieldwork 13 July to 11 August 2026): https://yougov.com/en-gb/reports/55674-uk-mega-sales-report-2026
2. Retail Gazette, "Black Friday discount war risks backfiring as UK shoppers cut budgets by a third" (3 November 2026, Omnisend research): https://www.retailgazette.co.uk/blog/2026/11/black-friday-discount/
3. ASA, "Promotional savings claims" advice: https://www.asa.org.uk/advice-online/promotional-savings-claims.html
4. Business Companion (CTSI), Guidance for Traders on Pricing Practices: https://www.businesscompanion.info/en/guidance-for-traders-on-pricing-practices
5. CMA blog, "Direct consumer enforcement: 18 months on" (14 October 2026): https://competitionandmarkets.blog.gov.uk/2026/10/14/direct-consumer-enforcement-18-months-on/
6. Legal 500, "Retail Discounting: A Commercial Tactic Or A Regulatory Risk?": https://www.legal500.com/intelligence/united-kingdom/consumer-protection/retail-discounting-a-commercial-tactic-or-a-regulatory-risk
7. IMRG, "Peak Season 2026: What's to come for online retail?": https://www.imrg.org/blog/peak-season-2026-s-come-online-retail