Prime Big Deal Days Hit $9.86B, but 2% of Items Top $100

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Adobe data reported Oct. 8 puts U.S. online spending at $9.86 billion across Amazon’s Prime Big Deal Days, up 8.5% from last year.

For the high-ticket store owners I work with at Ecommerce Paradise, the headline number matters less than what sat inside it. Numerator’s tracking found that 68% of items sold for under $20 and only 2% sold for more than $100, which means the shoppers who showed up were stocking up on protein shakes and paper towels, not shopping for a $2,000 patio set. Your Q4 ad budget, your Black Friday discount floor and your read on consumer demand all depend on interpreting that gap correctly.

Below: what the two datasets say, why the day-one numbers looked so different, what I’d do with the data before Black Friday on Nov. 27, and where the sources disagree. If you are still learning the model, start with my guide to what high-ticket dropshipping is.

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Prime Big Deal Days Hit $9.86B, Up 8.5% From 2025

According to Chain Store Age’s Oct. 8 report by Dan Berthiaume, Adobe measured $9.86 billion in U.S. online retail spending during the Oct. 6 and 7 event. The prior-year baseline was $9.09 billion, so growth was 8.5%. Mobile took 52% of sales, or $5.1 billion, up about 13% from 2025.

Adobe had forecast something slightly bigger. Its Sept. 28 holiday forecast called for $9.9 billion, up 9.2%. The actual result landed about $40 million and 0.7 points under that projection, which is a rounding error for the event and a useful reminder that forecasts and results are different things.

Numerator’s household panel, also cited by Chain Store Age, measured the two-day average household spend at $114.01, up 9% from $104.69 a year earlier. Average order size rose 7% to $48.74 from $45.42. Some 54% of households placed two or more separate orders, and household spending nearly doubled compared with an average Tuesday and Wednesday, per the report.

The mix is where high-ticket owners should look. Per Numerator, 68% of items sold for under $20 and 2% sold for more than $100, with an average spend of $23.19 per item. The best sellers were Premier Protein shakes, Lysol wipes, Scott toilet paper, Dawn Powerwash and Dunkin’ Refreshers. The top categories were beauty, apparel and health and wellness.

Where the big-ticket categories moved

Adobe’s category lifts use a different baseline: average daily sales in September 2026, not last year’s event. Against that, electronics ran 85% higher, TVs 95% higher, computers 60% higher and smartphones 130% higher. Infant and toddler furniture rose 160%, per the Chain Store Age report.

Forecast discount depth was shallower in furniture than in most categories. According to MediaPost’s coverage of Adobe’s forecast, Adobe projected peak discounts of up to 19% overall, but only 14% in furniture, 12% in computers and 9% in sporting goods.

Payments and traffic sources

Buy now, pay later accounted for 6% of online orders, or $692.3 million, up 4% from last year, according to Adobe via Chain Store Age. Adobe expects BNPL spend to pass $1 billion on Cyber Monday. Its holiday forecast puts total November and December BNPL at $21.3 billion, up 6.6%, with 82% of it on mobile.

Affiliates and partners, a group that includes influencers, held a 21.9% revenue share, up 11% year over year. Social media’s share was 7% but grew fastest, at 40%. Adobe says influencers converted shoppers at 11 times the rate of social networks overall.

Day-One Data Showed Spend Down 22%. Then Day Two Flipped It

The two-day number was not what the first read looked like. In Chain Store Age’s Oct. 6 report, updated Oct. 7, Numerator’s initial survey of 3,688 households and 183 verified buyers put day-one household spend at $86.98. That was down 22% from $106.41 on day one of the prior year’s event. Only 3% of items cost more than $100.

An Amazon spokesperson disputed that read in an email to the publication: “Typical of third-party studies, these estimates are wholly inaccurate and based on purchases from fewer than 200 shoppers.” The spokesperson was not named.

By Oct. 8 the same tracker showed the two-day figure up 9%. Chain Store Age’s description of the larger sample is garbled, so I cannot tell how comparable the two Numerator readings are. I am treating the 9% as directional and the Adobe figure as the firmer one, because it comes from online transaction data rather than a household survey.

The backdrop going in was mixed. MediaPost reported that Adobe’s forecast came alongside a Conference Board reading that put consumer confidence at a 12-year low. EMARKETER’s Sept. 30 analysis by Rachel Wolff expects holiday retail sales growth to lag the annual average for the second year in a row, as shoppers lean toward essentials and need steeper discounts. Adobe, by contrast, forecasts a record $275.1 billion in holiday online sales, up 6.7%.

Those two views are not strictly in conflict. Adobe is projecting online dollars, while EMARKETER is projecting growth against the annual average across all retail. Anyone quoting one without the other is telling half the story.

I laid out the pre-event math in my Prime Big Deal Days prep guide for high-ticket stores, including how Adobe’s growth rates imply roughly $9.1 billion for last year’s event. The result matches that arithmetic closely. Separately, the New York Fed’s finding that tariff price effects can take up to a year to show up is a reason to be careful about reading nominal dollar growth as unit growth.

What 2% of Items Over $100 Means for High-Ticket Stores

My read is that the event worked exactly as designed, and it was not designed for you. Amazon built a two-day traffic spike around consumables and gadgets priced under $25. A $1,900 outdoor furniture set or, say, a $3,400 mobility scooter does not fit that basket, and neither dataset breaks out orders above $1,000.

One hedge matters here. Numerator counts items, not dollars, so the 2% figure says nothing about how much money the over-$100 items brought in. It also says nothing about the research a high-ticket buyer does over weeks. Someone who saw a lower price on Amazon on Oct. 6 may still buy from a specialist store on Oct. 20.

The price-cut math I would run first (hypothetical)

Take a hypothetical store that gets 10,000 sessions a month at a 0.8% conversion rate. That is 80 orders. At a $1,900 average order value and a 22% gross margin, each order earns $418, or $33,440 in total.

Now cut every price 5%. Each order gives up $95, leaving $323 of margin. To earn the same $33,440 you need about 104 orders, a 29% jump in conversions. A sitewide cut that deep only pays if it lifts orders by nearly a third, and nothing in the Prime data suggests shoppers buy a $1,900 item 29% more often because another site ran a sale.

For testing offers without betting the whole catalog, Shopify Rollouts now tests discounts on live traffic. That is a safer way to find out whether a smaller, targeted incentive moves your numbers.

Scenarios and thresholds

Pull your Oct. 6 and 7 revenue and compare it with the prior two Tuesday and Wednesday pairs. If you landed within 10% of normal, the event did nothing to you and you should stop worrying. If revenue fell more than 15% on flat traffic, you have a conversion or attention problem, and shoppers were comparing you against a deal you do not control.

If traffic fell too, your ads probably lost impression share to retail media budgets. That is a spend question, and my guide on turning Google Shopping clicks into sales for high-ticket products covers the conversion side of it. Competitor visibility is easier to track with a tool like Semrush, which shows when rivals ramp up paid search.

What the discount data says about November

Adobe’s holiday forecast shows peak furniture discounts at 18% this season versus 19% last year. Appliances peak at 18% versus 19.2%, and TVs at 23% versus 24.2%. Retailers are planning slightly shallower cuts, not deeper ones, which is the first piece of good news for specialist stores.

Adobe projected furniture at only 14% for the Prime event. If your manufacturer’s minimum advertised price sits inside a 14% to 18% window, the big retailers are not forcing your hand, and the price pressure is coming from your own nerves. I used a 3-of-20 test in the pre-event guide: if fewer than three of your top 20 SKUs are listed lower elsewhere, hold price. Between three and seven, match within MAP. More than seven, you have a supplier or niche problem, and a coupon will not fix it. A supplier feed from Inventory Source can flag price drift faster than checking by hand.

Retail pricing is also drawing regulatory attention. Personalized pricing is drawing FTC and state scrutiny, so keep any tailored offers explainable and consistent. Google Ads turns on automated promotions on Oct. 12, which is one more reason to audit how your account presents discounts before November.

Financing, affiliates and AI traffic

BNPL at 6% of orders understates its importance for big carts. A shopper who can split a $1,900 order stays in your funnel, and Wayfair just expanded Klarna with 0% APR for six months. If a furniture giant is using financing as a closing tool, a specialist store without it is at a disadvantage. Check which financing options are switched on in your Shopify payment settings this week.

The 21.9% affiliate and partner share, and the 11x influencer conversion claim from Adobe, point toward reviewer and creator content as a channel that outperforms social ads. Adobe also reported that AI traffic to U.S. retail sites rose 48% year over year, per MediaPost, and 130% across the holiday season in its forecast. Feed quality matters more as agents start shopping on your behalf, which is why I covered Google opening its UCP checkout hub in Merchant Center.

The honest complication is that none of this tells you how your own category behaved. If you do not have a store built to capture the demand that does exist, my team builds and runs high-ticket stores through the done-for-you turnkey service, so you are not learning Q4 on live traffic.

Want to pressure-test your Q4 plan against this data with other store owners and me inside the community? Join the Skool community →

Five Moves Before Black Friday on Nov. 27

Adobe forecasts Black Friday at $12.9 billion, up 9.2%, and Cyber Monday on Nov. 30 at $15.1 billion, up 6.2%. Carriers are not helping, since UPS and FedEx peak surcharges are already live. Here are the five moves I would make in the next three weeks.

  1. Build your event scorecard. Export Oct. 6 and 7 sessions, conversion rate and revenue from your Shopify analytics and compare them with the prior two Tuesday and Wednesday pairs. If you want a second set of eyes on the numbers, the 1-on-1 coaching is built for exactly that.
  2. Rerun the 3-of-20 SKU check. List your top 20 SKUs, search Amazon, Walmart and Wayfair for each, and record any listed below your MAP. Share the list with your supplier before November, not during it.
  3. Set your November discount floor in dollars, not percent. Using the hypothetical math above, calculate the order lift a 3%, 5% and 8% cut would need, then test the smallest one with Shopify Rollouts on a handful of SKUs.
  4. Add a financing line to your product pages and your Klaviyo abandoned-cart flow. Shoppers who abandon a $1,900 cart often need a payment option more than a coupon. If this is too much to handle alongside peak season, the scaling service covers it.
  5. Lock support and delivery. Staff your phone line through Nov. 30 and follow my high-ticket follow-up playbook for every inbound lead. Set up order tracking pages in AfterShip so delayed freight does not turn into a dispute.

Route peak ticket volume through Gorgias so nothing sits unanswered. After the holidays, a tool like Finaloop helps show profit after discounts, shipping and fees, rather than revenue alone.

Frequently Asked Questions

How much did Prime Big Deal Days generate?
Adobe measured $9.86 billion in U.S. online spending on Oct. 6 and 7, up 8.5% from $9.09 billion last year, per Chain Store Age.

Did Prime Big Deal Days hurt high-ticket stores?
Neither Adobe’s nor Numerator’s data breaks out orders above $1,000, so nobody can say from public data. Compare your own Oct. 6 and 7 numbers to normal Tuesdays and Wednesdays, and read the brutal truth about high-ticket dropshipping if you are still deciding whether the model fits you. Keep dispute evidence ready too, using my guide to chargeback prevention for high-ticket stores.

Why did day-one data show spending down 22%?
Numerator’s initial survey covered 3,688 households and 183 verified buyers, and Amazon disputed it as based on fewer than 200 shoppers. The larger two-day read later showed a 9% increase.

Should I match Amazon’s discounts on Black Friday?
Not sitewide. Adobe projected a 14% peak furniture discount for Prime and projects 18% for the holiday season. Use targeted offers inside your MAP and test them before you scale them.

Is BNPL worth adding for large carts?
For a $1,000-plus cart, yes, in my view. Adobe expects BNPL spend above $1 billion on Cyber Monday, and large retailers are pushing 0% financing, as the Wayfair and Klarna expansion shows.

What if I do not have a high-ticket store yet?
Start with the free list of niches at ecommerceparadise.com/niches. Then work through my complete launch guide.

Want my team to build and run a high-ticket store that is ready for this Q4 traffic? See the turnkey done-for-you service →

This is one data point, and one event is not a trend. I will keep tracking how the November numbers compare. Subscribe to the YouTube channel for daily breakdowns. More breaking news coming through the day.

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