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SignalsRetailTrends · 5 min read

Black Friday 2026: What Retail Search Demand Is Telling Us

Search demand for Black Friday builds earlier on deal-led terms, and Cyber Monday lands in November this year. Here is what retailers can test now.

Signal · what changed

Searches for "black friday deals" in October rose to 246,000 in 2025, and Cyber Monday falls on Nov 30 in 2026, back inside November.

Meaning · why it matters

Deal-led demand starts building in October and the Cyber Monday peak may return to November, so the 2025 split between November and December may not repeat.

Action · hypothesis to test

Launch a persistent deals page and email or SMS waitlist in October, and hold a small December budget as a test rather than a default.

Observed — what the data shows. Hypothesis — what we would test next; evidence, not a guarantee.

Black Friday falls on Nov 27 in 2026, and Cyber Monday on Nov 30. In 2025 the dates were Nov 28 and Dec 1. In 2024 they were Nov 29 and Dec 2.

That calendar detail changes how the search data should be read. Cyber Monday landed in December in both of the last two years, and part of the peak moved with it. This post looks at what US search demand shows, what we think it means, and what retailers can test before the peak.

What the data shows

All search volumes below come from Google Ads Keyword Planner (US). Figures are monthly.

October: deal-led terms are building

  • "black friday deals" went from 165,000 searches in Oct 2024 to 246,000 in Oct 2025.
  • "cyber monday deals" went from 8,100 in Oct 2024 to 27,100 in Oct 2025.
  • The head term "black friday" moved the other way: 450,000 in Oct 2024 and 368,000 in Oct 2025.
  • "early black friday deals" fell from 12,100 in Oct 2024 to 4,400 in Oct 2025. Its November volume fell from 60,500 to 33,100 over the same period.

Deal-seeking queries grew in October while the broader term and the "early" qualifier both shrank.

November and December need to be read together

The November figure for "black friday" is 2,740,000 in every year from 2022 to 2025. A number that identical across years is more likely a rounded or bucketed estimate than a true measure of flat demand. Treat it as a rough ceiling, not a precise count.

The December figures are more informative:

  • "black friday": 74,000 in Dec 2022, 90,500 in Dec 2023, 165,000 in Dec 2024 and 135,000 in Dec 2025.
  • "black friday deals": 40,500 in Dec 2022, 90,500 in Dec 2023, 368,000 in Dec 2024 and 201,000 in Dec 2025.
  • "cyber monday deals": 2,240,000 in Nov 2022 and Nov 2023, with only 27,100 in December of each year. In 2024 the pattern reversed, with 673,000 in November and 2,740,000 in December. In 2025 it was 550,000 in November and 1,000,000 in December.

The December tail has clearly grown since 2022. The Cyber Monday peak has moved between months.

Categories are not moving together

  • "black friday tv deals": 1,000,000 in Nov 2024 and 450,000 in Nov 2025. October fell from 33,100 to 22,200.
  • "black friday laptop deals": 110,000 in Nov 2024 and 60,500 in Nov 2025, after 135,000 in Nov 2023. October was steady at 5,400 in both 2024 and 2025.

Current interest is flat

Google Trends interest for "black friday deals" over the last 4 weeks (Sep 13, 2026 to Oct 10, 2026) is 0% changed against the same weeks a year earlier (Sep 14, 2025 to Oct 11, 2025).

What it may mean

These are hypotheses, not findings.

Our read: shoppers have stopped qualifying their searches with "early." Retailers now run deals for much of the autumn, so "early black friday deals" may be less distinct than it was. People may search "black friday deals" directly and expect to find offers. Buying a keyword set built around "early" would then miss the demand that is actually growing.

Hypothesis: the Cyber Monday peak follows the calendar. In 2022 and 2023 the volume sat in November. In 2024 and 2025 it sat mostly in December, when the date fell there. With Cyber Monday on Nov 30 in 2026, the peak may return to November. A budget plan copied from last year, with a heavy December weighting, could be mistimed.

Hypothesis: the December tail is real but smaller than the 2024 spike. December searches for "black friday deals" were higher in 2025 than in 2022 and 2023, but lower than in 2024. Some of the 2024 height may have come from the Cyber Monday date. A modest December presence looks justified. A large one is not yet supported.

Hypothesis: category demand is more volatile than the head term. The TV and laptop figures swing more than the overall term. Planning on the overall number alone could over-fund or under-fund individual categories.

The flat Google Trends reading suggests no sign yet of a sharper early build this year. That is a reading of a single term over a few weeks, so it should be checked weekly.

What to test before the peak

These tests are low-cost and can start this month.

  • Publish a persistent deals page now. Use one URL that stays live through December. Add an email or SMS waitlist and track how much October traffic it captures. It answers the rising October demand for "black friday deals" and "cyber monday deals".
  • Split ad groups by wording. Run "deals" phrasing against "early" phrasing in separate groups with the same budget. Compare click-through and conversion rate.
  • Test a Cyber Monday budget weighted to November. Keep the December share small and fixed, then compare December return against November. Do not carry over last year's weighting as a default.
  • Fund categories separately. Set TV and laptop budgets on their own recent query trends, not on the head term. Review them weekly through November.
  • Run a December remarketing test. Keep a small audience of November visitors and see whether the December tail converts at a cost you accept.

Change one variable at a time and keep a baseline. Small tests only help if you can read them.

How to check this in your own market

Our figures are US-wide and cover generic terms. Your customers may behave differently.

  1. In Keyword Planner, pull monthly volumes for your own category terms and the "black friday" and "cyber monday" variants. Compare October, November and December across several years, and keep in mind that identical figures may signal rounding.
  2. In Google Trends, compare the most recent weeks with the same weeks a year earlier for your core terms. Repeat weekly.
  3. In Search Console, check which seasonal queries already bring you impressions in October, and whether "early" terms or "deals" terms lead.
  4. Look at competitor ads and landing pages. Note when their deals pages go live and how they word the offer.
  5. Match the retail calendar to the data. Write down which month Cyber Monday fell in each year before comparing November and December.

Our Market Snapshot does this work for your category: search demand, competitor advertising and seasonal timing in one view. It is free, and it gives you a clearer basis for your peak-season plan. You can request yours through the Market Snapshot page.

Sources & method

  1. [1]US retail calendar — 2024; 2025; 2026
  2. [2]Google Ads Keyword Planner via DataForSEO — Oct 2022–Oct 2025; Nov 2022–Nov 2025; Dec 2022–Dec 2025
  3. [3]Google Trends via DataForSEO — Sep 13, 2026–Oct 10, 2026 vs Sep 14, 2025–Oct 11, 2025

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