When is the right time to buy?
Pick a store or a category and we will tell you which month tends to bring the deepest discounts.
Start typing. Results mix stores and categories, so pick one to see its best buying window.
How we pick the month
Three things feed the answer. First, a hand kept calendar of the sale events that repeat every year, the ones nobody needs a model to predict like Black Friday or back to school. Second, the store's own deal history on Coupono, which months it actually posted its deepest cuts. Third, the wider category, useful when a single store hasn't been tracked long enough to say much on its own.
Whichever of those the recommendation leaned on is printed under the month, so you can weigh it yourself. A known sale event is a safer bet than a pattern pulled from eight months of data.
A few things worth knowing
The month is a window, not a date
November tops a lot of stores because of one weekend. Landing in the right month with no plan for the actual sale days still misses the best pricing.
Deep discounts and stock move together
The steepest cut and the thinnest inventory tend to arrive at the same time. If the size or colour matters to you, buying slightly early usually beats buying slightly cheap.
New models reset everything
Phones, laptops and appliances drop hardest right after the replacement lands. That release date moves the answer more than any sale calendar does.
Quiet months are underrated
January and late summer get ignored because nothing loud is happening. Stores still clear stock then, and there's far less competition for it.
Questions about this tool
What the recommendation is based on and how far to trust it.
Up to a year of deal activity, which is enough to catch a seasonal pattern that repeats. Stores added recently have less behind them, and we say so on the result instead of pretending otherwise.
We couldn't find a month that stood out. Either the store is new to us or its discounts are spread evenly across the year with no real peak. Better to admit that than invent a month.
No. The month is decided by the data before any AI runs. The summary only puts that result into a readable sentence, so it can't reach a different conclusion than the numbers did.
Category timing is an average across many retailers. Individual stores break from it all the time, especially ones that run their own anniversary sale. Trust the store level answer when it exists.
Discount size and how often deals appear. A 40% cut off an inflated starting price still reads as a big discount here, so compare the actual price before you commit.
It recalculates as new deals get tracked, so it drifts slowly through the year rather than flipping week to week. Big changes usually mean the store shifted its sale schedule.