PPC Dayparting Intelligence Hub
Upload your Amazon Sponsored Products hourly campaign report to uncover when your ads perform best — and get bid adjustment recommendations by day, hour, and time block.
What This Tool Does
Analyzes your hourly Amazon campaign report to identify peak performance periods and generate actionable bid adjustment recommendations.
- Day-of-Week Breakdown: See performance metrics split across Mon–Sun to find your best and worst-performing days.
- Hour-of-Day Analysis: Drill into each hour of the day (00:00–23:00) with full KPI breakdown and low-data warnings.
- Bid Adjustment Recs: Get data-driven bid adjustment % for each time segment based on RPC or CVR vs. average.
How To Use
- In Amazon Advertising, go to Campaign Manager → Measurement & Reporting → Sponsored Products Campaigns
- Click Create report
- Report category: Campaigns
- Report type: Campaigns
- Time unit: Hourly
- Run and download the exported CSV file
- Upload the file below to generate your insights
Upload Hourly Report
Amazon Sponsored Products Campaign Report (hourly granularity) — CSV format
Drag & Drop your CSV here
or click to browse files
.csv files onlyDiscover the hours your ads actually make money
Your daily ACOS is an average that hides everything interesting. Inside those 24 hours, some periods convert far above your blended rate and some burn budget with almost nothing to show — a 10 PM shopper browsing and a 10 AM shopper buying are worth very different bids, but a flat bid pays the same for both. Dayparting is how you stop treating every hour the same.
This tool reads your hourly Sponsored Products report and maps performance across the day and week, pinpointing your peak conversion windows and your dead zones. It turns 'I think mornings are better' into a concrete bid-adjustment schedule backed by your own hour-by-hour data.
How It Works
- 1
Pull your hourly report
Campaign Manager → Measurement & Reporting → Sponsored Products Campaigns. Run the hourly report and download the exported CSV.
- 2
Upload the CSV
Drop it into the tool. All analysis happens in your browser — your campaign data never leaves your machine.
- 3
Read the hourly heatmap
See spend, orders, and conversion mapped across every hour and day, so peak windows and budget-wasting dead hours are visible at a glance.
- 4
Apply bid adjustments
Use the recommendations — and build your own custom time segments — to raise bids in high-converting windows and pull back where spend doesn't convert.
When To Use This Tool
Cut wasted overnight spend
Many accounts spend through low-conversion late-night hours. Identifying and reducing those bids is often free ACOS improvement.
Double down on peak windows
Find the hours that convert well above your average and bid up to win more of that already-proven, high-intent traffic.
Weekday vs weekend patterns
Buying behavior often shifts across the week. The day-level view shows whether weekends deserve different bids than weekdays.
Protect budget-capped campaigns
If campaigns exhaust budget before your best hours arrive, dayparting reshapes spend so budget is available when it converts.
Frequently Asked Questions
Dayparting (or ad scheduling) is adjusting your bids or budgets based on the time of day and day of week. Since Amazon shoppers convert at different rates across the day, dayparting shifts more of your spend into high-converting hours and less into low-converting ones — improving ACOS without changing your total budget.
Amazon's native scheduling is limited, so most dayparting is done by manually adjusting bids on a schedule or through rules and third-party tools. This tool's job is the analysis — showing you exactly which hours warrant higher or lower bids so your scheduling decisions are data-driven rather than guesses.
At least 2-4 weeks. A single week can be skewed by a one-off promotion or slow day. More history smooths out noise and reveals stable day-of-week and hour-of-day patterns you can confidently act on. Higher-volume accounts reach reliable signal faster than low-volume ones.
Reducing — not eliminating — bids in low-conversion hours typically preserves the orders that do happen while cutting the wasted spend around them. The goal is reallocation, not blackout: money saved in dead hours funds higher bids in your proven peak windows, so total orders hold or rise while ACOS falls.
Yes — free, no login required, and your hourly report is parsed entirely in your browser. Nothing is uploaded. Part of the free Amazon PPC tool suite by Ads Acceleration.
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