Amazon Dayparting: How to Build an Hourly Bid Schedule
Shivam Kumar
TL;DR
Key takeaways
Amazon dayparting means changing bids, budgets or placement adjustments by hour of day and day of week, based on hourly performance.
It works because budgets reset at midnight, rivals run out of budget by afternoon, and conversion rates climb into the evening.
Amazon's native schedule rules can only raise bids and budgets, and only bids on Sponsored Products. Full dayparting needs hourly data and a tool.
Build the schedule from four to eight weeks of hourly data, keep multipliers between 0.6x and 1.3x, and prove the lift against a control group.
Most Amazon campaigns bid the same at 3 a.m. as at 8 p.m. The shopper is not the same, the competition is not the same, and the price of a click is not the same.
This guide shows how we build Amazon dayparting schedules for the brands and agencies on Adbrew. It covers what Amazon offers natively in 2026, the data you need, a worked schedule with the arithmetic, and how to prove it worked.
What Is Amazon Dayparting?
Amazon dayparting is the practice of adjusting Amazon Ads bids, budgets or placement bid adjustments by hour of the day and day of the week, so you spend more in the hours that convert and less in the hours that don't.
The name comes from TV, where ad slots were sold by "daypart" (morning, prime time, late night). On Amazon the unit is the hour, and the decision is driven by your own hourly data rather than a rate card.
A dayparting schedule is usually a grid of 168 cells, 24 hours by 7 days. Each cell holds a multiplier, such as 0.7x overnight or 1.2x on Sunday evening, applied to the campaign's base bid, budget or placement adjustment.
Dayparting is sometimes called ad scheduling. In Amazon PPC it is used almost entirely on Sponsored Products, Sponsored Brands and Sponsored Display campaigns, which bid per click.
Why Dayparting Works on Amazon
An Amazon ad auction at 2 a.m. and one at 7 p.m. are different markets. Three forces make them different, and all three show up in almost every account we open.
1. Budgets Reset at Midnight
Every Sponsored Products campaign's daily budget resets at midnight. Amazon's budget guide says that once a campaign is out of budget, its ads aren't eligible to show until the reset.
So in the first hours of the day, every competitor is back in the auction with a full budget. Clicks cost more while relatively few shoppers are buying.
2. Competitors Run Out of Budget
As the day goes on, smaller advertisers spend their budgets and drop out. Fewer bidders in the auction means lower CPCs (cost per click) for the campaigns still running.
Amazon warns that high shopper interest can use up a small daily budget within minutes. Any campaign that runs dry by early afternoon leaves cheaper evening clicks to whoever kept budget back.
3. Conversion Rates Change by Hour
Shoppers browse at lunch and buy at night. In most consumer categories we manage, conversion rate climbs from late afternoon and peaks between 6 p.m. and 10 p.m.
Amazon's own budget rules guide uses the same example: products that perform better on "Saturday and Sunday evenings, during 5 and 9 p.m."
Put the three together and the number that matters, cost per order (CPC divided by conversion rate), can be three times higher at 3 a.m. than at 7 p.m., or more. That gap is what a dayparting schedule exploits.
The pattern is not universal. Office supplies and B2B products often convert best on weekday mornings, and baby products see real overnight buying. That is exactly why schedules have to come from your own hourly data, not from a generic chart.
What Amazon Offers Natively in 2026
Amazon has added several scheduling features since 2023, but there is still no full dayparting scheduler in the Amazon Ads console. Here is what exists as of October 2026.
Schedule bid rules (Sponsored Products only). Launched in November 2023, these raise bids by a percentage at set hours, days of the week or date ranges. Amazon's help page on bidding rules, updated July 14, 2026, still describes them as bid increases only.
The details matter when you build a schedule:
Rules stack. A 20% rule and a 10% rule on the same hour add up to a 30% increase.
Rules apply on top of placement adjustments, so a $1.00 bid with +10% top of search and a +20% rule bids $1.30 at the top of search.
They work with dynamic bids (up and down), down only and fixed bids, but not with rule-based bidding. Switching a campaign to rule-based bidding puts its schedule rules on hold.
Each rule is set campaign by campaign, under Edit settings > Campaign bidding strategy > Add schedule rule, according to Amazon's setup steps.
Event-based bid rules. Since January 2025, the same rule screen offers a list of shopping events, so you can schedule an increase for an event without tracking the calendar yourself.
Schedule-based budget rules with hours of day. Since November 30, 2023, budget rules can raise a campaign's budget at specific times of day, in the US, Canada, the UK, India and Japan. Performance-based budget rules raise budgets when ROAS, CTR or conversion rate clears a threshold.
Budget averaging. Daily budgets are averaged over the month. Since a May 2023 policy change, a campaign can spend up to 25% or 100% more than its daily budget on a given day, using budget left unspent on earlier days.
Hourly reporting. The Sponsored Products campaign report in Report Center has an hourly time unit. Per Amazon's help page, it covers the last 30 days, and you can download 14 days at a time.
What unBoxed 2025 did and didn't change. Amazon rebuilt Campaign Manager in November 2025 to bring sponsored ads and DSP into one place, and launched Ads Agent for planning and pacing tasks. Neither announcement added hour-by-hour bid decreases.
Dayparting need | Amazon native (Oct 2026) |
|---|---|
Raise bids in good hours | Yes, Sponsored Products schedule bid rules |
Lower bids in bad hours | No, increases only |
Sponsored Brands and Display bids by hour | No |
Budget by hour | Increase only, via schedule-based budget rules |
Placement adjustments by hour | No |
One schedule across many campaigns | No, rules are set per campaign |
Hourly data | Console report (30 days) or Marketing Stream via the API |
How to Daypart Manually in the Amazon Console
You can approximate a bid decrease with the native tools. Lower the base bid, then add a schedule rule that lifts it back up in the hours you want to keep.
Say you want 0.7x overnight and 1.0x from 6 a.m. to midnight on a $1.00 bid. Set the base bid to $0.70, then add a +43% rule for 6 a.m. to midnight every day: $0.70 x 1.43 = $1.00.
The same trick works for budgets. Set a modest base budget and add an hours-of-day budget rule that raises it for the evening, so the money is still there when shoppers buy.
It works, but it is slow. Every campaign needs its own rules, Sponsored Brands and Display are left out, and every bid change you make later has to account for the rule on top.
The Data You Need
Dayparting is only as good as the hourly data behind it. Daily reports cannot show it at all: a day with a 3.0 ROAS can hide a 1.4 ROAS overnight and a 3.9 ROAS in the evening.
This is our house opinion: hourly beats daily. Daily reports tell you on Tuesday that Monday's budget ran out. Hourly data tells you it ran out at 2:40 p.m., before the hours that convert.
There are two sources of hourly data on Amazon.
The console hourly report. Free and simple, but 30 days of look-back, Sponsored Products only, and a manual download every two weeks if you want a longer history.
[Amazon Marketing Stream](https://adbrew.io/blog/amazon-marketing-stream). A push feed through the Amazon Ads API that delivers hourly campaign metrics for traffic and conversions, and alerts such as campaigns going out of budget. You keep the history as long as you store it.
Amazon reports that partner-managed advertisers using Marketing Stream for sponsored ads saw an average 5% increase in ROAS over the following six months (Amazon internal data, 2023). It is a partner average rather than a promise, but it is the clearest official number on what hourly data is worth.
Whichever source you use, check three things before you trust it:
Volume. We want at least 100 clicks and ideally 15 orders in each hour block over the analysis window. Below that, one lucky order swings the result.
Window. Four to eight weeks, with event days removed. A Prime Day hour will distort a normal Tuesday.
Attribution lag. Orders keep arriving for days after the click. Leave the most recent three days out of the analysis.
How to Build an Amazon Dayparting Schedule
This is the process we use on a new account. The numbers in the example are illustrative, but the arithmetic is the method.
1. Pick the Campaigns That Qualify
Start with your highest-spend campaigns that run all day. A campaign that runs out of budget by 11 a.m. doesn't need a bid schedule yet; it needs a budget decision first.
Good first candidates are non-branded generic campaigns with steady volume. Leave brand defense and new launches out for now.
2. Pull Hourly Data by Hour and Weekday
Export clicks, spend, orders and sales for each hour of each day over the window. Then aggregate it two ways: by hour of day across all days, and by day of week.
Most accounts show a strong hour-of-day pattern and a weaker weekday one. If your weekday pattern is flat, a single 24-hour schedule for all seven days is fine.
3. Group Hours Into Blocks
Don't set 168 separate cells from four weeks of data. Most cells will have too few orders to mean anything.
Group neighboring hours with similar performance into four to six blocks, such as overnight, morning, midday, evening and late evening. Each block then clears the volume threshold.
4. Compare Each Block With the Campaign Average
Calculate ROAS (sales divided by spend), or its inverse ACOS, for each block. Divide it by the campaign's overall ROAS to get an index. An index of 1.27 means that block returns 27% more per dollar than the average hour.
In this example, the campaign spent $3,525 for $10,830 in sales over four weeks, a ROAS of 3.07. Overnight returned only 1.38, an index of 0.45. The 4 p.m. to 9 p.m. block returned 3.90, an index of 1.27.
5. Turn the Index Into a Multiplier
Don't jump straight to the index. Bidding 0.45x overnight cuts clicks so hard you lose the data you need to keep judging the hour.
We move halfway: multiplier = 1 + (index - 1) / 2, rounded to the nearest 0.1, and kept between 0.6x and 1.3x. Overnight becomes 0.7x, early morning 0.9x, midday stays at 1.0x, and both evening blocks get 1.1x.
If your weekday pattern is strong, repeat the calculation for weekends and weekdays separately. The result is a grid like this.
6. Protect the Evening Budget
A bid schedule fails if the money is gone before the good hours arrive. Check what time each campaign runs out of budget on a normal day.
If it runs dry before 4 p.m., lowering morning bids alone often fixes it. If not, raise the budget for the evening with a schedule-based budget rule, or automate the budget to top up only when ROAS is above target.
7. Launch With a Control Group and Review Weekly
Apply the schedule to half the qualifying campaigns and keep the other half as a control. The measurement section below shows how to read the result.
Review the schedule every one to two weeks for the first month, then monthly. Rebuild it after big seasonal shifts, such as the run-up to Prime Day or Q4.
Bid vs Budget vs Placement Dayparting
There are three levers you can schedule by the hour, and they solve different problems. Most accounts need bids first, budgets second and placements last.
Lever | What it changes | Use it when | Native support |
|---|---|---|---|
Bid dayparting | Your CPC bid in each hour | Efficiency varies by hour and the campaign stays in budget | Sponsored Products, increases only |
Budget dayparting | How much budget is available at each hour | Campaigns run out before the hours that convert | Increase only, via budget rules |
Placement dayparting | Top of search, rest of search and product page adjustments by hour | Top of search converts in the evening but is costly in the morning | None |
Placement dayparting is the least used and often the most useful for brands with big placement adjustments. A +100% top of search adjustment at 2 a.m. buys the most expensive click of the day at the hour it is least likely to convert.
When Not to Daypart
Dayparting is not free. It adds complexity and can starve hours that build demand you later harvest. Skip it, or wait, in these cases.
Not enough data. A campaign with fewer than about 30 orders a month can't support hourly conclusions. Improve targeting first.
Campaigns on rule-based bidding. Amazon already adjusts bids per impression toward your ROAS goal, and schedule rules are paused on these campaigns anyway. Test one or the other, not both.
Brand defense. Your branded terms convert at most hours, and a competitor will take the slots you leave. Keep them at full bid.
Launches. A new product needs impressions and reviews more than hourly efficiency. Daypart after the first four to six weeks.
Event days. Prime Day, Black Friday and Cyber Monday have their own shape. Our Q4 playbook covers event-day dayparting, including the 9 p.m. to midnight bid lift we use.
When the real problem is budget. If a campaign is out of budget by noon every day, fix the budget or the bids first.
How to Measure the Effect of Dayparting
The most common mistake is a simple before-and-after. ROAS went up after you switched the schedule on, but so did everyone's, because it was a quieter week.
Use one of two designs.
Holdout test. Split similar campaigns into a test group and a control group, matched on spend and ROAS. Run the schedule on the test group only, for at least four weeks.
On-off weeks. If you only have a few campaigns, alternate: schedule on for a week, off for a week, for six to eight weeks. It is noisier, but every campaign serves as its own control.
Then compare the change in the test group with the change in the control group. In this illustrative test, test ROAS rose 10.1% and control ROAS rose 2.9%, so the schedule's own lift is about 7%.
Watch orders and total sales alongside ROAS. A schedule that lifts ROAS by cutting volume can still be a bad trade. Judge the result on TACOS and total orders, not ROAS alone.
Mistakes We See in Real Accounts
Building from a generic chart. "Bid down from midnight to 6 a.m." is a guess. Some categories sell well overnight.
Too many cells, too little data. A 168-cell grid from two weeks of data is mostly noise.
Pausing instead of reducing. Switching campaigns off overnight loses the data you need to see the hour improve. A 0.6x or 0.7x bid keeps you in the auction at a fair price.
Ignoring stacking. Native rules, placement adjustments and dynamic bidding all multiply. Check the real bid at the top of search before you add a rule.
Setting and forgetting. Hourly patterns move with seasons and with competitors' budgets. A schedule from March will be wrong by November.
Judging it on two weeks. Give the test at least four weeks and compare with a control.
How We Daypart in Adbrew
Everything above can be done by hand with the hourly report and native rules. Across dozens of campaigns, the per-campaign rules and spreadsheets become the job.
Adbrew is an agentic retail media management platform for Amazon and Walmart, and dayparting runs on the same hourly data as the rest of the platform.
Hourly data from Marketing Stream. Adbrew pulls Amazon Marketing Stream data every hour and keeps the history, so you can analyze clicks, spend, orders and ROAS by hour and weekday without exports.
One schedule, many campaigns. You create one dayparting schedule and link it to as many Sponsored Products, Sponsored Brands or Sponsored Display campaigns as you want.
Multipliers up and down. Schedules lower bids as well as raise them, for bids, each placement and budgets.
Automated dayparting. Set a goal, such as ROAS or sales, and Adbrew proposes the hourly schedule from your campaign's data. You review it before it applies.
[Adbrew Intelligence](https://adbrew.io/blog/what-is-adbrew-intelligence). Ask for "a dayparting schedule for my top 20 generic campaigns, weekends separate", and the agent builds it from your hourly data. The same works from Claude or ChatGPT through the Adbrew MCP.
This is the dayparting grid. Each cell is a multiplier for that hour and day, here 0.7x from midnight to 8 a.m. and 1x after, and the tabs above it hold separate grids for top of search, product page, rest of search and budget.
Amazon's own Marketing Stream page features Adbrew's work with snack brand Bounce, which grew sales 15%. Across the platform, brands on Adbrew cut ACOS by 46% on average.
Spend Where the Hours Pay
Dayparting doesn't need a big budget, only hourly data and the discipline to test it properly.
Want to see your own campaigns hour by hour and build a schedule from them? Book a demo with our team and we'll build the first one with you.
Frequently Asked Questions
What is dayparting on Amazon?
Dayparting on Amazon is adjusting bids, budgets or placement adjustments by hour of day and day of week, based on hourly performance data. Advertisers raise bids in hours where ads convert well and lower them in hours where clicks are expensive and shoppers rarely buy, so the same budget buys more orders.
Does Amazon Ads have native dayparting in 2026?
Partly. Amazon Ads has schedule bid rules for Sponsored Products and schedule-based budget rules with hours of day, but both only increase bids or budgets. As of October 2026 there is no native way to lower bids by hour, schedule Sponsored Brands or Display bids, or apply one schedule across many campaigns.
Can you lower bids by hour in the Amazon Ads console?
Not directly. Amazon's schedule bid rules only add increases. The workaround is to lower the base bid and add a schedule rule that raises it back in the hours you want to keep. For example, a $0.70 base bid with a +43% rule from 6 a.m. to midnight gives $1.00 by day and $0.70 overnight.
What data do I need for Amazon PPC dayparting?
Amazon PPC dayparting needs hourly clicks, spend, orders and sales for each campaign, ideally four to eight weeks of it. The console's hourly campaign report covers 30 days of Sponsored Products data. Amazon Marketing Stream delivers hourly data through the Amazon Ads API and lets you keep a longer history.
Does dayparting work for Sponsored Brands and Sponsored Display?
Yes, the hourly patterns apply to Sponsored Brands and Sponsored Display too, often more strongly for Display. Amazon's native schedule bid rules only cover Sponsored Products, so dayparting those ad types needs the Amazon Ads API, usually through a tool built on Marketing Stream data.
How often should dayparting schedules be reviewed?
Review a new dayparting schedule every one to two weeks for the first month, then monthly. Rebuild it before Prime Day and Q4, and whenever a campaign's budget, targeting or bidding strategy changes, because each of those shifts the hourly pattern.
Is dayparting worth it for small Amazon budgets?
Dayparting is often most valuable for small budgets, because a small budget that runs out by midday misses the evening hours that convert best. The limit is data: a campaign needs roughly 30 orders a month before hourly patterns are reliable. Below that, group hours into two or three wide blocks.
Which tools offer Amazon PPC dayparting?
Amazon's console offers schedule bid and budget rules that raise bids and budgets. Full dayparting, with bid decreases, placement and budget schedules and support for all sponsored ad types, comes from tools built on the Amazon Ads API and Marketing Stream, such as Adbrew.
