Google Ads Peak hours dashboard template

Get the actual Google Ads Peak hours dashboard template used by Porter to monitor your PPC performance.

Meet the author

Porter

This template is built by the same marketers behind all our tutorials, support, and our template gallery.

+40,000 marketers have downloaded our dashboards

Template setup

Copy-paste the same dashboards that other teams and agencies use to monitor their PPC performance

Google Ads Peak hours dashboard template overview

With this Real Google Ads peak hours dashboard example, monitor metrics such as click-through rate (CTR), cost per click (CPC), conversion rate, impressions, and ad spend. Segment data by time of day, day of the week, device type, and geographic location to gain insights into peak performance periods. Share the report through a link, PDF, or email to influence your team or clients. Answer questions such as: What are the peak hours for ad performance? How does ad spend vary throughout the day? Which days of the week yield the highest conversion rates? How do different devices impact ad performance during peak hours? How does geographic location affect peak performance times? Use Case Category: PPC

Suggested data sources

Use cases

Metrics and dimensions included

Customize the template’s metrics and dimensions as you like. See all available fields.

Metrics

Conversion metrics

– Conversion Rate – Cost Per Conversion – Conversion Value

Engagement metrics

– Click-Through Rate (CTR) – Conversion Rate – Cost Per Click (CPC)

Visibility metrics

– Impressions during peak hours – Reach during peak hours – Audience size during peak hours

Dimensions

Campaign

– Campaign Type – Device Type – Day of Week

Audience

– Hour of Day – Day of Week – Device Type

Time

By hour, day, week, month, quarter, or year

Features

100% custom charts

White-label

Custom metrics​

All-time historical data

Schedule email alerts​

Filters

Interactive

Goals​

Data blending

FAQs

A Google Ads peak hours report should include metrics such as conversion metrics like Conversion Rate, Cost Per Conversion, and Conversion Value; engagement metrics like Click-Through Rate (CTR), Conversion Rate, and Cost Per Click (CPC); and visibility metrics. Such data should be segmented and filtered by campaign dimensions like Campaign Type, Device Type, and Day of Week; audience dimensions like Hour of Day, Day of Week, and Device Type; and time dimensions like by hour, day, week, month, quarter, or year. Once the data is ready, make sure to add buttons and filters to make your reports interactive, use custom colors and logos to make it white-label, and share via link, PDF, or email so your teams or clients can access it.
To analyze Google Ads peak hours data, start by measuring the cost and revenue metrics attributed to Google Ads peak hours in PPC. This involves examining the times when your ads receive the most clicks and conversions, and correlating these with the costs incurred and the revenue generated. By identifying these peak hours, you can optimize your ad spend to ensure that your budget is allocated to the times when your ads are most effective, thereby maximizing your return on investment. Then, move backwards down the funnel by measuring the engagement metrics during these peak hours. This includes analyzing click-through rates (CTR), conversion rates, and other relevant engagement metrics to understand how users interact with your ads during these times. By doing so, you can identify patterns in user behavior and adjust your ad content or targeting strategies to better capture the attention of your audience during peak times. Next, assess the quality of traffic during peak hours by examining metrics such as bounce rate, average session duration, and pages per session. This will help you determine whether the traffic generated during peak hours is of high quality and likely to lead to conversions. If you notice high bounce rates or low engagement, it may indicate that your ads are not reaching the right audience or that your landing pages need improvement. Finally, consider external factors that might influence peak hours, such as seasonal trends, holidays, or industry-specific events. By understanding these factors, you can better predict and prepare for fluctuations in ad performance, allowing you to adjust your strategies accordingly. This comprehensive analysis will enable you to make data-driven decisions to optimize your Google Ads campaigns for peak performance.
To build a Google Ads peak hours report, start by connecting your PPC accounts, such as Google Ads, to platforms like Google Sheets or Google Looker Studio. These tools allow you to import and organize your advertising data efficiently, providing a solid foundation for your report. Next, select the key metrics you want to monitor to assess performance. Important metrics to consider include Conversion Rate, Cost Per Conversion, Conversion Value, Click-Through Rate (CTR), and Cost Per Click (CPC). These metrics will help you understand how well your ads are performing and where improvements can be made. Once you have your metrics, segment or break down the data to gain deeper insights. You can segment the data by various dimensions such as campaign type, device type, day of the week, hour of the day, and more. This segmentation can be done by hour, day, week, month, quarter, or year, allowing you to identify trends and peak performance times. To enhance the usability of your report, add filters or interactive buttons. These features enable users to filter the data by date range, user demographics, or other relevant criteria, making the report more dynamic and tailored to specific needs. Finally, share your dashboard with relevant stakeholders. You can do this by exporting the report as a PDF, scheduling regular email updates, or providing direct links to the dashboard. This ensures that all stakeholders have access to the insights they need to make informed decisions.
A Google Ads Peak Hours Dashboard is a visual tool that tracks and analyzes the performance of Google Ads during specific times when ads receive the most engagement, such as clicks and conversions. It helps identify peak performance times by segmenting data by hour, day, and other dimensions. The dashboard includes key metrics like Conversion Rate, Cost Per Conversion, and Click-Through Rate (CTR), and can be customized with filters and interactive features for better insights and decision-making.

Yes, Looker Studio allows you to download your report as a PDF. To do it, follow these steps:

Before downloading your report choose the date range you want to visualize on your report.
Click on the “File” menu at the top left corner of the screen.

Select “Download as” from the drop-down menu and choose “PDF.”

You can choose which pages you want to download, and also you can add a password to protect the report and add a link back to the online report.

Click on “Download” to save the report on your device.