Curious about when to adjust bids for better conversions or when to scale back during low-conversion periods? With Hourly Granularity, you can identify peak engagement times and tailor budgets accordingly for maximum efficiency. It's possible now:
➡️ Analyze hourly trends across all keywords, filtered by campaigns or ad groups, to gain insights into data fluctuations throughout the day.
➡️ Review hourly data for specific keywords to understand individual performance patterns and identify opportunities for optimization.
➡️ Track historical changes in CPT bids directly on charts by hourly trend to monitor bid adjustments over time.
➡️ Use hourly data to refine ad scheduling within ad groups, enhancing dayparting strategies.
➡️ Monitor how changes in budget allocation influence overall campaign performance on an hourly basis to prevent overspend.
➡️ Compare metrics from Apple Ads and MMP simultaneously for comprehensive full-funnel analysis.
➡️ Examine up to 15 days of data to identify short-term trends and refine your advertising strategies.
➡️ Select and analyze as many KPIs as you need to thoroughly understand and measure performance.
How to Set Up Hourly Data Charts?
To configure charts for hourly data, navigate to the Keywords, Ad groups, or Campaigns level. Here, you'll find two options:
Overview of all Keywords/Ad groups/Campaigns performance. This option provides a broad perspective on the overall performance of all keywords, ad groups, or campaigns. It's ideal for understanding general trends and getting a comprehensive summary.
Specific Keyword/Ad group/Campaign performance. For a more detailed analysis, you can access the chart for a particular keyword, ad group, or campaign. This option allows you to dive deeper into the performance metrics and behavior of that specific item.
Here's how to proceed with each option:
For checking overall performance
Step 1. Add the metrics you want to analyze.
Step 2. Select the date range or turn on the toggle to activate comparison mode and compare two different periods using the calendar in the upper-right corner.
❗Note. Hourly Granularity isn't available for periods over the last 15 days.
Step 3. Choose Hourly Granularity for detailed insights on an hourly basis.
💡Tip. Pay attention to the gray areas; weekends are highlighted to help you spot weekly trends easily. Additionally, hovering over the graph line will display the days of the week for better clarity.
❗Note. Bar Chart View is not supported with Hourly Granularity. Switch to Daily Granularity to use the Bar Chart View
For checking the performance of a specific Keyword/Ad group/Campaign
Step 1. Hover over the keyword, ad group, or campaign you wish to analyze and click the Chart icon next to it.
Step 2. Add the necessary metrics for your analysis.
Step 3. Select the date range you're interested in.
Step 4. Choose Hourly Granularity for detailed insights into the hourly performance of that specific keyword, ad group, or campaign.
By following these steps, you can effectively configure charts to analyze hourly data and gain valuable insights into your ad performance.
Use Cases
Below are some practical scenarios to help you effectively analyze your data and optimize your advertising strategies:
1. Managing Campaign Budgets.
Monitor when your campaigns hit their daily budget limits and begin losing impressions. By filtering data by specific campaign or using the detailed campaign chart, you can track key metrics such as Daily Budget, Spend, Impressions, Taps, Installs, and Install Rate (Tap-Through). This helps you understand how budget constraints affect campaign effectiveness and allows you to make necessary adjustments to maintain consistent performance throughout the day.
2. Refining Dayparting Settings.
Fine-tuning your ad scheduling can significantly enhance your ad group's efficiency. Filter keywords by specific ad groups or review the detailed chart for individual ad groups to analyze performance trends and adjust dayparting settings accordingly. Key metrics to consider include Spend, Impressions, Taps, Downloads (Total), Installs, Install Rate (Tap-Through), All Conversions, All Conversions Rate, Cost per Conversion, and ROAS. This approach maximizes ad exposure during peak performance times, ultimately boosting the effectiveness of your entire ad group strategy.
3. Identifying Non-Performing Hours.
To avoid wasting ad spend during periods of low conversion rates, it’s crucial to identify when specific keywords underperform. Using the Cost-Per-Tap (CPT) Bid metric, you can pinpoint hours when your traffic is least effective. Analyzing metrics such as Spend, Impressions, CPT, TTR, Install Rate (Tap-Through), All Conversions Rate, and All Conversions will help you determine which hours to avoid. This ensures your budget is allocated to times that drive better results, optimizing your overall ad spend.
These practical examples will help you make informed decisions and maximize the effectiveness of your advertising efforts. By leveraging hourly data analysis, you can fine-tune your campaigns for improved performance and higher returns.