Page View

What is page views

Page views (PV) is a basic quantitative indicator to measure the interaction between users and digital content, which refers to the total number of times that users load/refresh web pages/application interfaces within a specific time period. It is a basic and key indicator to measure the traffic of websites or applications, intuitively reflecting the frequency of page display, and is an important basis for measuring the popularity and activity of websites or applications.

Its core value is reflected in:

Reflecting the physical frequency of content/advertising carrier being reached
As the coordinate base point of user behavior path analysis
The basic data layer of the traffic quality evaluation system
Important input parameters of advertising effect attribution model

The essential difference with UV (independent user access volume) is:

PV statistics physical access action, UV statistics independent user number
A single UV may generate multiple PVs
PV focuses more on the intensity of content exposure, while UV focuses on the breadth of user coverage

Typical use cases

Website Traffic Analysis

Website operators can understand user browsing behavior on the website by analyzing page view data of different pages, such as which pages are most concerned by users, and the jump path between each page. This helps to optimize the structure and content of the website and improve user experience.

Mobile App Analytics

Developers can analyze the page view data of each page in the app to understand user habits within the app, and optimize the interface design and function layout of the app.

Advertising Effectiveness Evaluation

Advertisers can monitor the page views of the pages where their ads are placed to understand the number of times their ads are exposed, and evaluate the coverage and influence of their ads. At the same time, by combining other metrics such as click-through rates and conversion rates, they can more comprehensively assess the effectiveness of their ad placements and optimize their ad placement strategies.

The relationship and value of Ratings and Reviews in ASO (App Store Optimization)

Reflecting the popularity of the app

In ASO, page views can reflect the popularity of an app in the app store. If an app has a high number of page views, it means that more users are interested in the app and willing to click into the app details page to learn about the app information. This usually means that the app has a high exposure rate and a greater chance of being downloaded and installed.

Optimize the app details page

By analyzing the page view data of the app detail page, developers can understand the user's attention to different content. For example, if the page views of the app screenshots or videos are high, it means that users are more interested in these contents, and developers can further optimize these contents to improve the attractiveness of the app. On the contrary, developers can consider adjusting the expression of the update description.

Improve App Rankings

Page views are closely related to the ranking of applications in the app store. Generally speaking, the higher the page views of an application, the higher the exposure and attention of the application, and the ranking of the application in the search results may also be improved accordingly. Therefore, by optimizing the title, keywords and other information of the application, improving the page views of the application can indirectly improve the ranking of the application in the app store.

Assist in market promotion decisions

When promoting an app in the market, page view data can provide important basis for promotion decisions. For example, if a promotion channel brings high page views but low download conversion rate, it means that the quality of traffic from this channel may not be high and the promotion strategy needs to be further optimized. On the contrary, it means that the promotion effect of this channel is good and more promotion investment can be made in this channel.

Page views are an important metric in the mobile internet and ASO fields. By reasonably analyzing and utilizing page view data, user experience can be optimized, advertising effectiveness can be improved, and the ranking and download volume of applications in app stores can be increased.