Dayparting Bid Adjuster

Analyses 30 days of hourly performance data across campaigns and calculates recommended ad schedule bid adjustments. Shows the full breakdown per hour before you choose to apply.

Shopping

PMax

bidding

ad schedule

dayparting

Overview

Dayparting Bid Adjuster analyses 30 days of hourly campaign data to calculate the CPA variance across each hour of the day. It maps that variance to suggested bid-adjustment percentages capped at your MAX_ADJUSTMENT limit and logs the full hour-by-hour breakdown so you can apply the modifiers to your campaign ad schedules — in the Google Ads UI or via a follow-up script.

Setup

1Create a new script and paste the code.
2Run in preview mode — the logs show hourly CPA and the suggested adjustment for each hour.
3Set MIN_CLICKS to a value that ensures statistical relevance (default 10 clicks per hour).
4Tune MAX_ADJUSTMENT to cap how aggressively bids should move (default 0.50 = plus/minus 50%).
5Apply the suggested bid modifiers to your campaign ad schedules in the Google Ads UI.

Ready to Use This Script?

Configuration Variables

Variable	Default	Description
`MIN_CLICKS`	10	Minimum clicks an hour slot must have to be included in calculations.
`MAX_ADJUSTMENT`	0.50	Maximum absolute bid adjustment to apply in either direction (0.50 = ±50%).
`DATE_RANGE`	LAST_30_DAYS	Date range for pulling hourly performance data.

Expected Output

=== Dayparting Bid Adjuster ===
Best CPA: $12.40   Worst: $58.20

Hour   Conv   Clicks   CPA      Suggested bid adj.
00:00       2      14   $58.20   -50%
08:00      18     210   $14.10   +42%
12:00      25     310   $12.40   +50%
18:00      12     180   $22.80   +15%
22:00       3      28   $44.60   -30%

Review these suggestions, then set ad-schedule bid modifiers (UI or a follow-up script).

Notes

This script aggregates data across all enabled campaigns. For accounts with very different conversion patterns per campaign, consider running a modified version scoped to individual campaigns.