Key Takeaways
- Day-parting means adjusting your bids or budgets based on the time of day and day of the week.
- Indian shoppers peak between 9-11 PM on weekdays and 10 AM — 1 PM on weekends.
- Analysing hourly data reveals that some hours deliver 3-5x better ROAS than others.
- ScaleSkus uses a 7x24 bid multiplier grid — a unique bid adjustment for every hour of every day.
- Festival and sale days require completely different timing strategies than normal days.
What Is Day-Parting?
Day-parting is the practice of adjusting your Amazon ad bids or budgets based on the time of day. The concept is simple: shoppers do not convert equally at 3 AM and 9 PM. If you bid the same amount around the clock, you are overpaying during low-conversion hours and potentially underbidding during peak hours.
Amazon does not offer native day-parting controls in its advertising console. You cannot set "bid ₹10 from 9-11 PM and ₹4 from 2-5 AM" directly. This means day-parting requires either manual budget adjustments (impractical) or automated tools like ScaleSkus that adjust bids programmatically throughout the day.
Why Timing Matters on Amazon India
Indian shopping patterns are distinct from Western markets:
- Morning browse (7-9 AM): Shoppers browse on mobile during commutes. Click rates are moderate, but conversion rates are low — people are researching, not buying.
- Midday dip (1-4 PM): Traffic drops as people return to work. CPC competition decreases, so you can capture cheaper clicks, but volume is low.
- Evening peak (7-11 PM): The golden hours. Shoppers are home, relaxed, and ready to buy. Conversion rates spike — this is when 40-50% of daily purchases happen on Amazon India.
- Late night (11 PM — 1 AM): A secondary peak driven by late-night browsing. Conversion rates are still reasonable and competition drops significantly.
- Dead zone (2-6 AM): Minimal traffic, minimal conversions. Every rupee spent here is likely wasted unless you sell insomnia-related products.
Category-Specific Timing Patterns
Different product categories peak at different times:
- Electronics & Gadgets: Strong late-night performance (10 PM — midnight) as buyers do comparison research after work.
- Grocery & Pantry: Morning peaks (8-10 AM) as people plan their daily needs. Weekend mornings are especially strong.
- Fashion & Apparel: Lunch breaks (12-2 PM) and evening hours (7-10 PM) show the highest engagement.
- Baby Products: Late-night purchases are surprisingly common (new parents browsing during feeding times).
- Office Supplies & B2B: Weekday mornings (9 AM — 12 PM) dominate, with almost no weekend activity.
The only way to know your specific patterns is to analyse your own hourly data.
How to Analyse Hourly Data
Amazon does not provide hourly breakdowns in the standard advertising console. To get hourly data:
- Amazon Ads API: Pull campaign performance data with hourly granularity. This requires API access and technical setup.
- Bulk report downloads: Schedule reports at frequent intervals and calculate performance by time window.
- ScaleSkus dashboard: Our platform automatically captures hourly performance data and visualises it in a heatmap, making patterns instantly visible.
Once you have at least 30 days of hourly data, create a performance heatmap with hours on one axis and days of the week on the other. Colour-code by ROAS or conversion rate. The patterns will jump out immediately.
The ScaleSkus 7x24 Bid Multiplier Approach
ScaleSkus takes day-parting further than simple "peak vs off-peak" adjustments. Our system uses a 7x24 grid — a unique bid multiplier for each of the 168 hours in a week. Here is how it works:
- Data collection: We track conversion rates, CPC, and ROAS for every hour of every day over a rolling 30-day window.
- Multiplier calculation: Each hour gets a multiplier from 0.3x (reduce bids to 30%) to 2.0x (double bids) based on historical performance.
- Automatic application: Bids are adjusted automatically via the Amazon Ads API every hour. No manual intervention needed.
- Continuous learning: Multipliers update weekly as new data comes in, adapting to seasonal shifts and changing shopper behaviour.
A seller spending ₹50,000/month on ads who implements 7x24 day-parting typically sees a 15-25% improvement in ROAS within the first month, simply by shifting spend from dead hours to peak hours.
Implementation Methods
If you are implementing day-parting manually (without automation), here are your options:
Budget Rules
Amazon now supports budget rules that increase your daily budget on specific days. You can set a rule like "increase budget by 50% on weekends." This is crude day-parting but better than nothing. Set budget rules in Campaign Manager under "Budget Rules."
Manual Bid Adjustments
Adjust bids twice daily — increase before peak hours (6-7 PM) and decrease after (11 PM — midnight). This is time-consuming but effective if you are consistent.
Automated Day-Parting Tools
Tools like ScaleSkus connect via the Amazon Ads API and adjust bids automatically. This is the only practical way to implement true 7x24 day-parting at scale, especially if you manage more than 5-10 campaigns. Learn more about how automation works.
Weekend vs Weekday Patterns
In India, weekends show distinct shopping behaviour:
- Saturday mornings: Strong for home, kitchen, and lifestyle products. Shoppers have time to research and buy.
- Sunday evenings: A major peak across all categories as people prepare for the week ahead.
- Weekday lunchtimes: Short browsing sessions with lower average order values but decent conversion on impulse purchases.
Your weekend bid multipliers should generally be 1.2x — 1.5x of your weekday baseline for consumer categories.
Festival and Sale Day Timing
During events like the Great Indian Festival, Republic Day Sale, or Prime Day, all normal patterns change:
- Peak hours shift earlier as shoppers rush for lightning deals.
- Midnight launches (12 AM — 2 AM) generate massive traffic — bids should be at maximum during sale launches.
- CPCs increase 2-5x across the board. Pre-set higher budgets and bids before the sale starts.
- The last day of a sale often sees a second surge as shoppers make final purchases.
Read our Great Indian Festival PPC strategy guide for detailed sale-day tactics.
Stop Paying for Clicks That Do Not Convert
Every hour you bid the same flat amount, you waste money during low-conversion periods and miss opportunities during peaks. ScaleSkus eliminates this with automated 7x24 bid adjustments tailored to your specific products and categories. Combined with smart negative keyword management, day-parting is one of the fastest ways to improve your ROAS. Start your free trial and let ScaleSkus optimise your bids around the clock.