Four Holiday Shopping Reports Got Into a Fight

Over the past week, four reports on this year's holiday shopping season landed almost simultaneously. Basis, Salesforce, Attentive, Alchemer — four different organizations, four different surveys, all asking the same question: how do consumers plan to spend this shopping season?

Let me give you the conclusion first.

When it comes to how consumers spend their money, these four reports are remarkably aligned. But the moment AI comes up, they turn on each other. And it gets heated.

That contrast is fascinating. Let me break it down for you, piece by piece.

Black Friday Isn't What It Used to Be

Let's start with what they all agree on.

All four reports point to the same thing: Black Friday is no longer the beating heart of holiday shopping. It's still around, but it no longer defines the entire shopping season the way it used to.

Attentive's data shows that 71% of consumers plan to start shopping before Black Friday — a 12-percentage-point jump from last year. 83% have their planning done before the shopping weekend even begins, and most say they'll keep buying well after Cyber Monday.

Basis confirms the same thing from a different angle. 68% of people shop early to avoid shipping delays, 57% buy year-round and just wait for promotions, and more than half say it outright: Black Friday and Cyber Monday are no longer "must-camp-out-for" events, because discounts are available all year long now.

The shopping season has stretched out.

What does this mean for marketers? You now have a longer window to influence consumer decisions — but so do your competitors. Attention is diluted.

Consumers Have Gotten Strategic About Spending

The four reports also converge on something else: consumers are putting more thought into their spending.

Last year, Attentive spotted a pattern of "buying less, waiting for deeper discounts." This year, that behavior has crystallized into strategy rather than a reactive reflex. 87% say economic conditions influence how they shop, 42% plan to compare more brands, and 41% will prioritize buying what they "need" over what they "want." One number jumps out: 80% of consumers say an early-bird discount of 40% or more is enough to make them pull the trigger.

Basis found that consumers are weighing free shipping, reviews, price history, and convenience on the same scale as the discount itself. Salesforce adds the macro backdrop: consumer pessimism is up 16% year over year, and 13% feel their financial situation is getting worse.

Notice the pattern? Consumers don't just want things cheaper. They're thinking more clearly — about when to buy, where to buy, and why.

Saving money has gone from impulse to craft.

But Bring Up AI, and the Four Reports Split

Alright, here's where the disagreement starts.

Attentive says 70% of consumers have already used AI at some point in their holiday shopping. Even among Baby Boomers, adoption jumped from 34% this time last year to 45% this year. It also notes that 80% of consumers will flat-out ignore marketing messages that feel irrelevant to them.

Basis tells an almost opposite story. Only 17% of consumers expect to use AI during holiday shopping, with another 23% still on the fence. Those who do use it mainly want AI to help find discounts, compare products, and brainstorm gift ideas.

70% on one side, 17% on the other. Put those two numbers side by side, and you'd assume at least one of them is wrong.

But neither of them is actually wrong.

Why?

Because they're measuring different facets of AI. Attentive is looking at "did the shopper encounter AI anywhere in the shopping journey" — a broad net that catches everything from product recommendations to price comparisons to checkout. Basis is asking "do you plan to actively use AI yourself" — a much narrower question about subjective consumer intent.

Two different questions, two different answers. As they should.

Salesforce pans the camera to yet another angle. Rather than measuring current consumer behavior, it makes a judgment call: AI agents are becoming a new discovery channel on par with search engines, e-commerce marketplaces, and social platforms. This report reads more like a memo to retailers about where to dig in next.

Alchemer is the most distinctive. It doesn't measure whether people use AI — it measures whether they trust it. The finding: only 35.4% of consumers "mostly or completely trust" AI-generated recommendations. What actually drives purchase decisions? Recommendations from friends and reviews from family.

The Real Story Here Is a Time Gap

Line up all four reports side by side, and a picture emerges: consumers are simultaneously occupying several different stages of AI adoption.

Discovering products, comparing options, finding inspiration — a lot of people are already comfortable letting AI tag along for those.

But the moment it's time to actually pay, most people aren't ready to hand the decision over to an algorithm.

This distinction matters enormously for marketers. On one side, you need to start preparing your product information for the "AI discovery" channel — making sure AI agents can actually read and understand your catalog. On the other side, the most fundamental trust-building blocks — accurate product info, solid reviews, well-targeted promotions, personalized experiences — can't slacken for a second.

AI gets you seen. But trust is what makes people buy.

Four reports reach consensus on consumer behavior but sing different tunes on AI. This isn't a quality gap between the reports — it reflects a market that's in a transitional zone. Consumers are experimenting, marketers are expanding, and researchers are measuring different points along the same road.

Each report is a photo of the same train barreling forward — they just clicked the shutter on a different carriage.

So the next time you see two AI statistics duking it out, don't rush to declare one of them wrong. Ask first: are they even measuring the same thing?