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Analyzing Hourly Data and Getting Actionable Insights
Analyzing Hourly Data and Getting Actionable Insights
Geetanjali Tyagi avatar
Written by Geetanjali Tyagi
Updated over 2 years ago

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Decide what is the best time to run your ads

Look for boxes that have both Red and Green in them. This means the same time slot is the best performing one for one of the statistics you are comparing it with, and low performing for another. 

For example, if a campaign is getting a lot of clicks in a certain time slot but does not have any conversions, you can schedule that campaign not to run at that time by using ad scheduling in Google Ads. This will make sure that the campaign budget is spent better during time slots that convert better.

Adjust bids to increase conversions

Identify time slots during which conversions are high, and impression share is low, and increase bids for these time slots.

See data at campaign and device level

Account-level statistics may not be accurate indicators of performance as, for example, mobile may perform better at night compared to desktops. You can change these settings from the menu on the left side of the page.

Review data for a longer time period

We suggest you review data for a longer period (45 - 60 days) to make sure it is statistically significant.

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