BidPilot Pro Tool

Amazon Dayparting Calculator

Amazon’s schedule rules can raise your bids by hour — but never lower them. This PPC dayparting calculator takes your hourly report, finds your most and least profitable day-hour buckets on a 168-cell heatmap, and computes the bid adjustments that actually move profit. All in your browser.

PRO 168-cell heatmap Hourly bid adjustments
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Dayparting Calculator

Upload your Amazon Sponsored Products hourly reports and discover which hours and days actually make you money. Every day/hour bucket is scored by Revenue-Per-Click, with suggested bid adjustments you can apply through Amazon's rule-based bidding. Everything runs in your browser — your report never leaves your device.

What is dayparting? Shoppers don't convert evenly through the day. Evenings might bring clicks that convert well while early mornings quietly burn spend. Dayparting means raising bids when your ads perform and pulling back when they don't. Amazon Ads has no built-in ad schedule for Sponsored Products, so advertisers implement it with bid rules — and this calculator produces the numbers those rules need.

Why Revenue-Per-Click? We rank time buckets by RPC (sales ÷ clicks) rather than ACoS or conversion rate alone, because RPC captures both sides of the trade: how often clicks become orders and how much those orders are worth. A bucket with slightly worse ACoS but far more revenue per click still deserves higher bids.

1 · Upload your hourly report

Drag & drop your CSV file(s) here

or

CSV format only — Amazon Ads exports CSV natively. You can drop several files at once; they are combined.

How to get your report from Amazon Ads:
  1. Go to Measurement & Reporting → Sponsored ads reports .
  2. Create a report with Report type "Campaign" and Time unit "Hourly" .
  3. Pick a 2–4 week date range, download the CSV, and upload it above.

No file loaded yet.

2 · Filters & confidence
Amazon runs Schedule Rules in your ad account's timezone.

aCTC (average clicks-to-conversion) = total clicks ÷ total orders in your filtered data. A day/hour bucket needs at least N × aCTC clicks before its numbers are trusted — anything below is flagged Low Data . Set N to 0 to disable the filter.

3 · Summary

Upload a report to see totals.

4 · Performance tables
By day of week
By hour of day
5 · 168-hour heatmap
poor good hatched = low data
6 · Suggested bid adjustments

Formula: (bucket metric ÷ overall metric) − 1, shown as a percent. Positive means the bucket beats your average — raise bids; negative means it trails — lower bids. For CPC and ACOS, where lower is better, the ratio is flipped so + still means "raise" .

By day of week
Weekdays vs weekends
By 4-hour block
By 8-hour block
Custom blocks
7 · Two-track action plan

Upload a report to build your action plan.

8 · Using dayparting well

How to use the suggestions. Start with the metric that matches your goal — RPC for revenue growth, ACOS if you guard a target. Apply the strongest adjustments first (say, anything beyond ±20%), then re-check after a week. Small buckets flagged Low Data should be left alone until they gather clicks.

How much data. Two to four weeks of hourly data is the sweet spot (combine multiple 14-day reports — Amazon\'s hourly reports max out at 14 days each). A single unusual day — a lightning deal, Prime Day — can skew one bucket, and longer ranges smooth that out. If your campaigns are new, wait until you have a few hundred clicks before trusting the heatmap.

9 · FAQ
How much data do I need?

At least 2–4 weeks of hourly Sponsored Products data. Bigger accounts with more campaigns may want 6–8 weeks so thin buckets still clear the click-confidence filter.

Which metric should drive my bid adjustments?

RPC is the default because it balances conversion rate and order value. Use CVR if your products all sell at similar prices, ACOS if you must defend a margin target, and CPC when pure efficiency matters more than growth.

Is this free? Do I need to log in?

Yes, free, and no login needed. The whole calculator runs in your browser — your report files are parsed locally and never uploaded anywhere.

Does Amazon Ads support dayparting directly?

Not as a built-in ad schedule for Sponsored Products. Advertisers implement dayparting with rule-based bidding (bid multipliers on a schedule) or automation tools. This calculator gives you the per-hour numbers to configure those rules.

Rule-based bidding vs dayparting — what's the difference?

They're two halves of the same thing: dayparting is the strategy (bid more when it converts, less when it doesn't) and rule-based bidding is the mechanism Amazon gives you to run it on a schedule.

Does this work for Sponsored Brands or Sponsored Display?

It's built around the Sponsored Products hourly campaign report. The math works for any hourly data with clicks, spend, orders and sales, but brand and display campaigns behave differently — treat their suggestions as directional, not precise.

Does it work for international marketplaces?

Yes. Currency symbols and thousand separators are stripped during parsing, and every metric is computed from your own numbers, so any marketplace works.

Find the hours and days that actually make you money.

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Worked example

Sample hourly data, mapped by the Amazon dayparting calculator.

Worked example — illustrative, not live Amazon data

Scenario: One portfolio, 14 days of hourly data, about $4,200 in spend — enough volume that most day-hour buckets clear the confidence threshold.

Inputs: The hourly performance CSV from the Amazon Ads console, analyzed by revenue per click.

What the output means: The heatmap shows 12–2pm running at 2.1× account-average RPC (19% ACoS) while 2–6am limps at 0.4× (68% ACoS). Suggested adjustments: −40% overnight, +25% at the midday peak; thin buckets are flagged “Low Data” instead of driving decisions.

Concrete next action: Amazon’s native rules can only raise bids, so apply the +25% midday lift in the console and carry the overnight decreases into the Dayparting Schedule Generator’s multiplier CSV (or your bid automation).

Watch how it works

A quick walkthrough of the tool, start to finish.

Frequently asked questions

Adjusting bids by time of day and day of week — bidding more in the hours that convert profitably and less in the hours that burn spend. Same budget, better hours.

Pull an hourly performance report, aggregate by day-hour, and compare RPC, conversion rate and ACoS per bucket against your account average — exactly what the 168-cell heatmap does for you.

No — Amazon’s native dayparting rules can only raise bids during chosen windows, never lower them. Decreases have to be applied another way, which is the gap this calculator fills.

At least two to four weeks of hourly data with enough clicks per bucket to trust. Thin buckets get flagged “Low Data” here instead of quietly driving bad decisions.

Related tools

Or browse all Amazon PPC tools in the BidPilot toolbox.

Dayparting Schedule Generator

Export a ready-to-apply hour-by-hour bid multiplier schedule.

Bid Optimizer

Compute the bid that hits your target ACoS from price, CPC and conversion rate.

ACoS / TACoS Calculator

Break-even ACoS, target ACoS for your margin, and a plain-English verdict.

Related guides

Go deeper: guides from the BidPilot blog, matched to this tool's topic.

What Is Dayparting in Advertising? Amazon Guide

Dayparting in advertising, explained for Amazon sellers.

Amazon Display CPC Guide: 2026 Costs & Dayparting Tips

Display CPCs with dayparting tips included.

Amazon PPC Budget: Set & Pace Daily Spend

Pacing budgets by time of day and spend.

Amazon Holiday PPC: Your Q4 Strategy Playbook

Q4 strategy — when hourly scheduling matters most.