If you pull US Google Trends data for almost any shopping search right now, the 5-year chart has a strange hump in spring 2026. I hit it while building a niche report and checked it before trusting a single number. Here is what it looks like, why it breaks common metrics, and a 5-minute way to check your own data.
What the data shows
Weekly US interest for "standing desk", past 5 years, as Google Trends shows it (pulled 30 October 2026):
| Week | Interest |
|---|---|
| 8 Mar 2026 | 21 |
| 22 Mar 2026 | 39 |
| 12 Apr 2026 | 100 |
| 10 May 2026 | 71 |
| 21 Jun 2026 | 59 |
| 5 Jul 2026 | 24 |
| 25 Oct 2026 | 16 |
The weeks before and after mostly sit between 14 and 25. A 5x jump for three months, then straight back down.
On its own that could be a real trend. Two things suggest it isn't:
1. Unrelated searches jump in the same weeks. I compared three searches that have nothing to do with each other, on one chart (US, same scale):
| Week | air fryer | headphones | mechanical keyboard |
|---|---|---|---|
| 8 Mar 2026 | 41 | 29 | 1 |
| 29 Mar 2026 | 54 | 83 | 9 |
| 19 Apr 2026 | 61 | 84 | 10 |
| 21 Jun 2026 | 52 | 51 | 5 |
| 12 Jul 2026 | 41 | 29 | 2 |
Headphones roughly tripled. Mechanical keyboards went up about 10x. All of it in the same weeks, and all of it back to normal by mid-July.
2. The regional pattern is implausible. "standing desk" in Wyoming shows 0 or 1 in every week I sampled across the past 5 years, except a burst to 61 in April 2026. That one burst is enough to make Wyoming the "top state" on the 5-year map for many unrelated keywords. California shows the same spring spike (from about 17 to 77) on top of an otherwise flat line.
I don't know what caused it. The pattern looks like something in the data rather than people suddenly wanting desks, headphones and keyboards in the same week.
What it breaks
If you compute metrics over a window that includes these weeks, you get confident-looking but wrong answers:
- Seasonality and peak month. Almost everything "peaks in April". After removing those weeks, the same searches peak in November (Black Friday) or August (back to school), which is what you would expect for tech.
- Trend direction. A fitted line over 5 years tilts upward because of the hump.
- Momentum (recent period vs the one before) gets inflated or deflated depending on where your windows fall.
- Top regions. Wyoming tops the 5-year map for things that have nothing in common.
What it mostly doesn't break: year over year, as long as neither the recent weeks nor the same weeks a year earlier fall inside the hump. October 2026 vs October 2025 is clean.
A 5-minute check for your own data
- Open Google Trends, set United States and Past 5 years, and compare your keyword with two unrelated ones (for example "headphones" and "air fryer").
- If all of them rise and fall together in spring 2026, treat those weeks as unreliable for your keyword too.
- Check a low-population state (Wyoming works) for your keyword. Zeros for years with one burst is the giveaway.
- Recompute anything seasonal or trend-based without those weeks. I exclude 15 March to 5 July 2026.
- For regions, use a recent window (last 90 days) instead of 5 years.
How I handle it
My Niche Value Finder actor on Apify now leaves those weeks out of seasonality, trend, momentum and its demand scale for US runs. It reports how many weeks were excluded (excludedWeeks), and only reports year over year when both sides are clean. Regions come from the last 90 days. If you'd rather have the analysis done for you, the first monthly Rising Niches Report on Home Office & Tech is built on the corrected data and explains this in a data note on page one.
If you've seen the same pattern in other categories, or in other countries, I'd like to hear about it in the comments. The more examples, the easier it is to pin down the exact weeks.
Data source: Google Trends (trends.google.com), pulled 30 October 2026. Not affiliated with Google.
Top comments (2)
the unrelated-searches check is the one i would copy. standing desks and mechanical keyboards have no reason to move together in the same weeks, so that shared hump says more than any single chart. i would drop the 15 march to 5 july weeks before judging seasonality, instead of explaining april away after the fact.
Agreed, that's the order I use: the weeks get excluded before anything seasonal or trend-based is computed, not explained afterwards. With them removed, tech searches peak in November and August instead of April. Thanks for reading closely.