Amazon PI Tool

Amazon PI (Performance Intelligence) is a tool developed by Amazon Web Services (AWS) to help customers monitor and optimize the performance of their applications on the AWS platform. With Amazon PI, users can easily identify performance bottlenecks, troubleshoot issues, and make informed decisions to improve the overall performance of their applications.

Sellers can use Amazon PI’s insights to create a solid strategy to increase sales in Amazon stores while reducing ACOS, allowing them to leverage data for both Amazon organic advertising and Amazon Ads.

The tool offers a wide range of features to help users understand their application’s performance, including real-time performance metrics, detailed performance reports, and performance history. Amazon PI also includes visualization tools such as charts and graphs to help users better understand their data.

One of the key features of Amazon PI is its ability to monitor the performance of multiple resources simultaneously. This includes monitoring the performance of Amazon Elastic Compute Cloud (EC2) instances, Amazon Elastic Block Store (EBS) volumes, and Amazon Relational Database Service (RDS) instances. Amazon PI can also monitor the performance of other AWS services, such as Amazon Simple Queue Service (SQS) and Amazon Simple Notification Service (SNS).

Another key feature of Amazon PI is its ability to troubleshoot performance issues. The tool provides detailed performance reports that can help users identify the root cause of issues such as high CPU utilization or slow disk I/O. Amazon PI also includes diagnostic tools, such as tracing and profiling, to help users understand their application’s behavior.

To further help users improve their application’s performance, Amazon PI includes several optimization tools. For example, users can use this tool to identify underutilized resources and determine the right size for their instances. Amazon PI can also help users optimize their storage and database performance.

One of Amazon PI’s most powerful features is its ability to provide real-time performance metrics. This allows users to quickly identify performance bottlenecks and take action to resolve them. Amazon PI also provides alerts and notifications to notify users of potential issues.

Overall, Amazon PI is an extremely powerful and versatile tool that can help users monitor and optimize the performance of their applications on the AWS platform. With its extensive functionality and powerful visualization tools, Amazon PI makes it easy for users to understand and improve their application performance.

Real-time performance metrics, comprehensive performance reports, and performance history are just some of the many features this tool offers to help users understand their application’s performance. Amazon PI also includes a variety of visualization tools, including graphs and charts, to help users understand their data.

Notably, Amazon PI can be used with other AWS services, such as AWS Elastic Beanstalk, AWS Lambda, and AWS App Runner, allowing users to gain insights into the performance of these services and make informed decisions about how to optimize them for improved performance.

In short, Amazon PI is a valuable tool for any organization looking to improve the performance of its applications on the AWS platform. With its real-time performance metrics, troubleshooting tools, and optimization capabilities, Amazon PI can help users identify performance bottlenecks, troubleshoot issues, and make informed decisions to improve the overall performance of their applications. This tool can help businesses ensure their applications run smoothly and maximize the return on their AWS investment.

Amazon PI is a tool that provides several types of reports to help you monitor and analyze the performance of your Amazon RDS or Aurora database.

Some reports based on the Amazon PI tool are listed below.

1. Search Performance Report: Using the Search Performance Report, you can learn more about your brand’s performance on Amazon search. The Search Performance Report can help you discover the keywords for which your product ranks highest. These phrases can then be targeted in your Amazon advertising campaigns to increase your product’s visibility for the most popular search terms.
2. Product-Based Ranking Report: The average position or ranking of a product in Amazon search results for relevant keywords is called its Product Search Rank. The Product Search Rank report takes into account all relevant keywords for the product, as well as all keywords for which your product appears in the first 200 search results (each search results page contains 20 results).
3. Load: This report displays overall database load, including CPU, memory, and storage utilization, as well as the number of active connections.
4. Slowest Queries: This report displays the slowest queries running on your database, allowing you to identify and resolve performance bottlenecks.
5. Top Tables: This report displays the tables consuming the most resources in your database, helping you determine which tables may need optimization or indexing.
6. Performance Summary: This report provides a high-level overview of database performance, including average query response time and the number of slow queries.
7. Time Series: This report displays your database’s performance over time, allowing you to identify trends and patterns in database usage and performance.
8. Custom Reports: You can also create custom reports to monitor specific aspects of your database’s performance.
9. Dashboards: You can also create a dashboard to view multiple reports at once and monitor your database’s performance over time.
10. Resource Utilization: Shows how much resources the database used over time, such as CPU, memory, and disk I/O.
11. Connection Metrics: Shows metrics related to the number of connections, connection rate, and connection time.
12. SQL and Database Metrics: Shows metrics related to SQL operations and database metrics, such as commits, rollbacks, and lock waits.
13. Display Ads: Display ad share compares impressions with other brands in the same category, shown in the Display Share of Voice report. CPM is the operating model for display ads. We had to communicate with the Amazon team to run display ads, as they can only be done through the Amazon Marketing Services self-service portal.
    We can better plan our spending by understanding our market share compared to our competitors.
14. Overview Report: Amazon determines product views based on the number of product views on your product page and then multiplies or divides these numbers by a dynamic constant.

For example, if the constant used is 10 and your product page receives 5,000 views, the indexed view count will be 500. Amazon uses this technique to make these reports easier to interpret so you can see trends in product views rather than individual views.

With the help of the screenshot below, you can see how three competitor brands compare to yours, giving you a better understanding of how many people are viewing your product page compared to your competitors’. When creating the report, Amazon used a constant shared by all three competitors.

Having more product views than your competitors indicates that customers are evaluating your product, but it doesn’t guarantee sales. You can compare this data with your sales reports to learn more about your conversion rate from product page views to sales.

If your product has many views but few sales, consider the following factors for successful optimization of your product page.

Product description. Provide a comprehensive description of your product, including the keywords you need. Include your product’s unique selling point, reliability indicators, and reviews on your product page.

Leverage discounts to increase sales by studying your competitors’ pricing and discounting strategies.

If you see low product views on your product page, consider the following factors.

Promote product categories with low product views.

Leverage external sources of traffic to increase product views, such as advertising your Amazon product page on Facebook or Google.

You can better understand how your products are selling on Amazon by using Amazon Pi Store Analytics. By improving search coverage and search rankings, and learning from your sales reports, you can determine a successful plan. To increase sales on your Amazon store, you should regularly compare your company’s performance with that of your competitors and optimize your marketing campaigns appropriately.