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Analytics3 min read

Christmas 2025: The Holiday Data That Actually Matters

Adobe Analytics recorded $257.8 billion in US online spending across the full 2025 holiday season. UK shoppers spent a record £26.9 billion. AI-referred traffic converted 54% better on Thanksgiving. Those are the headline numbers. The less-headline numbers are, as usual, the more interesting ones.

Sarah Chen

Sarah Chen

Senior Editor

—27 December 2025

Christmas in ecommerce is the event that reveals what you actually built over the previous eleven months. All the AI personalisation investment, all the machine readability improvements, all the customer data unification work — it either translates into commercial performance in November and December, or it was interesting infrastructure that didn't connect to revenue. There's nowhere to hide in the data.

The 2025 holiday season figures are now substantially in, and there are a few threads worth pulling on before the year-end summaries flatten everything out.

The Big Numbers

Adobe Analytics recorded $257.8 billion in US online spending across the full 2025 holiday season — a record, up 6.8% year-on-year. Black Friday set a Black Friday record at $11.8 billion for a single day. Cyber Monday, at $14.25 billion, was the largest online shopping day in US e-commerce history.

For the UK, Adobe's Digital Insights data showed UK shoppers spending a record £26.9 billion online across November and December, up 4.1% from 2024. That record matters more than the percentage growth, given that it came in a year where consumer confidence was still recovering from the cost-of-living pressures of 2023-24.

The AI dimension: traffic to retail sites from generative AI tools rose 693% year-on-year across the US holiday period, with AI-referred visitors converting 54% better than non-AI traffic on Thanksgiving itself. In the UK, AI traffic to retail sites grew 329% year-on-year across the holiday period, with a Boxing Day spike of 685%.

The Patterns Worth Noting

The AI quality effect. The 54% conversion advantage on Thanksgiving was not a one-day anomaly. Season-wide, AI referrals converted 31% better than other traffic sources, nearly double the prior year's gap. The explanation that fits the data: consumers who use AI assistants to research gifts are further along in their purchase journey when they arrive at a product page. They are not browsing. They are buying.

The machine-readability question. I would expect the AI content accuracy problems that characterised much of 2025 to show up in January returns volumes, particularly in categories where AI-generated product descriptions were deployed at scale. If a shopper buys on the basis of an AI-recommended description that contained inaccurate specifications, the return rate on that purchase is higher. January's data will be informative.

Category performance. Electronics, gaming, and toys dominated, as they always do. The less predictable story was strong anecdotal performance in premium home and kitchen goods, a category where natural language queries ("find me a thoughtful gift for someone who likes cooking") suit AI discovery better than keyword search. This is observational, not primary-sourced, but consistent with the shift in how AI referrals behave.

Subscription gifting. More visible this Christmas than before: subscription services as gifts. "Suggest a subscription gift for someone who..." is a natural AI query, and subscription retailers that had invested in AI visibility were well-positioned to capture that volume.

What the Season Signals

The 2025 Christmas was the first in which, for a meaningful number of retailers, AI investment clearly paid off in measurable conversion terms. It was also the first in which organic search dependence was clearly declining, as zero-click behaviour eroded the informational-query traffic that had reliably fed upper-funnel awareness for years.

Whether AI discovery can replace Google-driven discovery at comparable volume is the question that will define 2026 planning. The data suggests it is possible in some categories. Whether it is possible at the median retailer's scale is less clear.

The returns queue is already forming.

Tags

seasonalanalyticsconsumer-behaviouruk-retail

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About the Author

Sarah Chen
Sarah Chen

Senior Editor

Sarah covers the intersection of AI and retail, with over a decade of experience in technology journalism. Based in Bangkok, Thailand — and will explain at length why that's actually the best place to cover e-commerce if you'll let her.

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