The Ranking report in the Beusable Journey Map provides five essential key metrics that are easy to understand, even for those unfamiliar with data. These metrics are crucial for analysis.

Today, we will explain how to effectively use these metrics in your analysis.

Compared to the industry average, conversion rates are 18.5 percentage points higher.

● PV Top 20 Key Metrics

Conversion : This shows how actively customers are exploring the service.
Drop Off : This indicates how many customers stop exploring the service.
Avg. Duration : This tells you how much time customers spend exploring the content.
Refresh : This helps gauge the customer experience by assessing page load speed or interface performance.
Rollback : This shows how often customers return to the previous page, indicating unnecessary navigation paths.

● The PV Top 20 Key Metrics Can Be Used for Analysis in Three Major Ways.

Comparing with Benchmark (industry average) data.
Comparing the average metrics of the PV Top 20 pages with the metrics of individual pages.
Providing a basis for determining whether the current situation is positive or negative and identifying areas for improvement.

Reference👀

1. What is Benchmark data?

Benchmark data is the industry average data extracted by Beusable AI, based on the data from websites registered with Beusable.
It provides you with the average values of data from the same industry for the same analysis period, device, and new/returning visitor segments that you're currently viewing.
Since it includes data from major companies in the country, it serves as a reliable reference.

2. Why do we show the average of Top 20 pages by PV?

In the PV Top 20 key metrics, we display the average values for the 20 most visited pages on your website. Having the most visits means these are important pages that customers are paying attention to. In other words, they are the "popular" pages!
You don't need to look at thousands of pages—just focus on the top, most important pages that are receiving the most customer interest.
Additionally, we provide data on what percentage (%) of the total visits these top 20 pages account for. This average helps you assess how trustworthy these pages are compared to all the pages on your site.

それでは、皆さんのWebサイトデータを効果的に活用できるように、各々の主な指標を活用できる具体的なシチュエーションと方法をご紹介させていたきます！

今すぐPV Top 20主な指標を活用する方法を確認してみませんか~? 😉

#1.

Increasing Customer Goal Achievement through Conversion Rate Analysis

Conversion

● Meaning
Conversion refers to when a customer visiting the service moves to another page within the same domain.

● Why is it important to check the conversion rate?
The conversion rate is a key metric for achieving the main goals of a website.
By checking the conversion rate, you can determine how effectively your website is guiding users, and whether any changes are needed in marketing campaigns or customer journeys.

● Analysis Application
Comparing and optimizing pages based on the conversion rate.

Usage Examples
For an online shopping mall, you can analyze the conversion rate of the product purchase page.
By comparing the average conversion rate of the PV Top 20 pages with the conversion rates of individual pages, you can identify which pages have particularly high or low conversion rates.

Strategies for Utilizing Analysis
By analyzing low-conversion pages, you can pinpoint the areas where customers are encountering issues and make improvements. If you find a page with a low conversion rate, review the design, content, and checkout process to identify areas for improvement.
You can also use A/B testing to compare different versions of the page and determine the optimal design and elements.
You are able to evaluate the performance of marketing campaigns and identify which channels or campaigns drive higher conversion rates, allowing for more efficient budget allocation. Pages with high conversion rates can be considered successful in terms of design, content, and user journey.

#2.

Identifying Pages for Improvement through Exit Rate Analysis

Drop Off

● Meaning
Drop-Off represents the percentage of customers who leave the website (end their session) without continuing their exploration after reaching a certain page.

● Why is it important to check the drop-off rate?
The drop-off rate can be used to check if there are any issues with the customer experience or the content.
Pages with a high drop-off rate are likely failing to provide information that meets customers' needs.
By reviewing the drop-off rate, you can determine if actions are needed to provide more satisfying content or to optimize the customer journey.

● Analysis Application
Improving the page path to reduce exit rates.

Usage Examples
On a blog or news site, you can analyze the drop-off rate of specific article pages.
By comparing the average drop-off rate of the PV Top 20 pages with the drop-off rates of individual pages, you can identify the pages where customers are leaving the most.

Strategies for Utilizing Analysis
Analyze pages with high drop-off rates to discover why customers are leaving!
You can explore ways to reduce the drop-off rate by improving factors like page load speed, content usefulness, and navigation ease.
By analyzing customer search data, you can build a content strategy that reflects topics users are more interested in. This helps reduce drop-off rates and improve the overall user experience.

#3.

Understanding Content Consumption Through Avg. Duration Analysis

Avg.Duration

● Meaning
This metric represents the average amount of time customers spend on your website.

● Why is it important to check the avg.duration?
By looking at the average time customers spend on your website, you can understand how much time they are dedicating to exploring and consuming your content. This metric can also be used to assess the level of customer interest and the quality of interaction.
Since the interpretation of time on page may differ based on the type of page, before making a positive or negative judgment, it's important to first check the composition of the Top 20 pages.

For pages like sign-up, login, and checkout, where the aim is to quickly move customers to the next step, shorter duration time are generally seen as a positive sign. On the other hand, for pages like the homepage, product listings, product details, and content pages—where the goal is for customers to engage with the content—longer duration time can be viewed more favorably.

Long Duration Time on Page
- Positive Interpretation: This could mean that customers are very interested in your website and are finding useful information.
- Negative Interpretation: It may indicate that there is an issue with the transition process, causing delays in moving to the next page.

Short Duration Time on Page
- Positive Interpretation: It suggests that customers were able to quickly move on to the next page without any obstacles.
- Negative Interpretation: It may mean that customers couldn’t easily find the information they were looking for or had a dissatisfying experience.

● Analysis Application
Evaluating content popularity based on time on page.

Usage Examples
On an educational platform, you can analyze the average time spent on lecture pages.
By comparing the average time on page of the PV Top 20 with that of individual pages, you can see where customers are spending the most time.

Strategies for Utilizing Analysis
You can analyze the characteristics of pages with long duration time to identify the types of content users find most valuable. A longer duration time on page could indicate that users are highly interested in that content, which can be leveraged to provide more related content or recommend similar pages.
You are able to explore ways to increase user engagement by adding interactive elements and maximizing the learning experience.

#4.

Evaluating Website Performance with Refresh Analysis

Refresh

● Meaning
The refresh rate refers to the percentage of times customers refresh the page.

● Why is it important to check the refresh rate?
By analyzing how often customers refresh the page, you can understand how frequently they are checking for updated information or changes, and assess the perceived performance of the page in terms of loading speed or interface.
A high refresh rate may indicate that users are frequently checking for changes, which could suggest a need for real-time updates.

● Analysis Application
Understanding the demand for real-time updates through refresh frequency.

Usage Examples
You can analyze the refresh rate of a dashboard page that displays real-time data.
By comparing the average refresh rate of the PV Top 20 pages with individual pages, you can determine how often customers are refreshing the information.

Strategies for Utilizing Analysis
You can analyze the refresh rate of the pages to understand how frequently customers are checking for status updates.
A high refresh rate could indicate that users are looking for real-time data or changes more frequently.
If the refresh rate is high, consider improving the user experience by adding real-time update features or adjusting the automatic refresh intervals.
You are able to analyze patterns in how customers are frequently refreshing specific charts to ensure quick access to the necessary data.

#5.

Checking Customer Navigation Flow Through Rollback Analysis

Rollback

● Meaning
Rollback refers to the percentage of times customers press the back button or return to a previous page.

● Why is it important to check the rollback rate?
Rollback is a key metric for assessing how much unnecessary navigation occurs within a user’s journey.
It suggests that customers might not be finding the information they are looking for or are losing interest on a particular page. To reduce the rollback rate, improvements to the UI/UX should be made to ensure customers can easily access the information they need.

● Analysis Application
Analyzing user flow based on the rollback rate.

Usage Examples
You can analyze the rollback rate of a search results page on an information search site.
By comparing the average rollback rate of the PV Top 20 pages with individual pages, you can identify which pages customers are frequently returning from.

Strategies for Utilizing Analysis
Analyze search results pages with high rollback rates and improve the interface so that users can quickly find the information they need. A high rollback rate may indicate that users are having difficulty finding relevant information. To address this, consider reorganizing the content structure or providing additional navigation options to enhance the user's search path.

Have you explored well how to utilize the key metrics of the top 20 pages by PV?

By applying these key metrics to your analysis, you can better understand and improve the performance of specific areas of your website. This allows you to identify the strengths and areas for improvement, ultimately enhancing the overall customer experience.

So, why not register your website now and dive into your key metrics and industry benchmark data?

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[Analysis Guide] How to Use Data from the Top 20 Most Visited Pages "Ranking-PV Top 20 Key Metrics"

[Analysis Guide] How to Use Data from the Top 20 Most Visited Pages "Ranking-PV Top 20 Key Metrics"