Skip to content Ever wonder how we decide that February is a genuinely bad month to buy an air fryer? It isn't a hunch. It's years of our own sales data, two editors who watch this stuff daily, and rather a lot of filtering.
Here's the whole method. We're spilling the beans without quite giving away the secret sauce.
By the numbers
Trendsicle editors, all of them actual humans, have been covering sales since 2017.
Who actually does this
Four editors write for Trendsicle. Two of them live in the sales data.
Between them that's more than 15 years of experience, and literally thousands of products tracked through sale after sale.
Where the data comes from
Four sources feed every "best time to buy" call we make. Three of them are data. The fourth is a person deciding the data is worth acting on.
Our own sales archiveSince 2017
A live Amazon feed92.5% accurate
Relationships with retailers
An editor deciding it's worth your timeHuman
- The best price we've seen in a while
- On something that almost never goes on sale
- Currently on-trend, and yes, sometimes that means TikTok
- Just something an editor genuinely loves
What we're actually asking the data
Slice the archive by category, by product, by retailer, then filter by month, week or day. Three questions fall out of it.
Answer all three and you get the best time to buy something, the worst time to bother, and a decent idea of who'll be running the sale.
Things the data told us that we didn't expect
The useful part isn't confirming that Black Friday exists. It's catching the shifts nobody announces.
We re-run this analysis monthly, and we watch the big events closely: Black Friday, Memorial Day, Amazon Prime Day, Way Day and the rest.
Years of sales data across thousands of products, hundreds of categories and dozens of trusted retailers, analyzed by editors who then decide what's genuinely worth telling you about. That's how we land on the best time of year to buy the things people actually want, well outside the obvious Black Friday window.
Best time to buy, everything
Here's where all that analysis ends up.
