Dayparting Analyzer

The Sponsored Products campaign report with Time unit set to Hourly: Campaign Manager → Measurement & Reporting → Sponsored Products Campaigns → Create report, category Campaigns, type Campaigns, time unit Hourly. This is not the bulk file the other tools use — the bulk file contains no hour column, so dayparting is impossible from it.

More than you would like. Day-of-week findings usually stabilise within three or four weeks. Hour-of-day needs longer, and the full day-by-hour grid needs a great deal of traffic before any individual cell means anything. The tool calculates this from your own data and tells you where you stand rather than leaving you to guess.

Only when your data cannot support them. If a bucket has enough clicks and its conversion rate differs from your account average by a statistically significant margin, you will get a recommendation. If it does not, you get the numbers and an explanation instead of a fabricated percentage. A tool that always produces recommendations regardless of sample size is not being helpful, it is being confident.

No, and this distinction matters. Zero clicks with zero impressions means your ads were not serving — almost always because the daily budget was exhausted earlier in the day. The fix is budget or pacing, not bids. Those hours are listed separately so they are not mistaken for poor converters.

Not directly, for most sellers. Amazon's native scheduling is limited, so hour-level changes usually need a rules engine, a third-party scheduler, or manual edits at the start and end of a window. Day-level changes are far easier — adjusting daily budgets by day of week captures most of the available gain with none of the tooling.

From your own file and your own target ACOS, and the tool shows the arithmetic on every card. A cut is valued at the spend above what your target allows: spend − (sales × target), scaled from your file’s date range to 30 days. A scale-up is valued at the extra spend the window could absorb before it breached target. Because a day and a time window overlap — Tuesday and 02:00–05:59 both contain Tuesday 3am — the headline totals are computed across the day×hour cells your actions actually touch, so nothing is double-counted. These are size guides for prioritising, not forecasts.

Because “good” is defined by your margin, not by your own average. Judging hours against the account average only tells you which hours are worse than your other hours — if the whole account is unprofitable, the best hour still loses money and the tool would happily tell you to scale it. With a target, every window is measured against the number that actually matters. Change the target and the entire plan recalculates.

It means the gap between your ACOS and your target is spread evenly across the clock rather than concentrated in particular times. The tool checks this by re-measuring each flagged window against your own account average instead of your target: whatever survives is genuinely time-specific, and whatever vanishes was really an account-wide bid problem wearing a dayparting costume. In that case a schedule is the wrong tool — lowering bids across the account is the fix, and the tool tells you roughly by how much. Very few tools will talk you out of using them.

Your account's timezone, not the shopper's. If you sell across several US timezones, what looks like a sharp 9am peak is really a three-hour smear across the country. Treat single-hour precision with appropriate suspicion.

No. The file is read by JavaScript in your browser and discarded when you close the tab. There is no server. Load the page, disconnect from the internet, and it still works.