1. Dimension

Dimension refers to the characteristics or attributes that a thing possesses. For example, the gender, city of residence, and color preferences of a person are all attributes of that person.

In the field of website analysis, dimensions are often used to describe and analyze metrics. For example, a single visit metric can't tell you much information, but as soon as you add the dimension of traffic source, it immediately becomes meaningful.

2. Metric

A metric refers to a specific numerical value, such as number of visitors, page views, or time spent on site.

Metrics can generally be divided into count metrics and composite metrics. Count metrics include metrics like visitors, visits, page views, and time spent on site, while composite metrics include metrics like bounce rate, interaction depth, and conversion rate. Metrics generally have more meaning when analyzed in conjunction with dimensions.

3. Impression and Click

Impression refers to the number of times a page element is exposed. Click refers to the number of times a page element is clicked by users.

These two metrics are mainly used in online advertising, such as evaluating the brand advertising placed on Sina Homepage, how many times it was exposed and how many times it was clicked.

4. Visitor

Visitor, which is commonly interpreted as a person who visits a website or app. After adding Unique in the front, Unique Visitor (UV) as we commonly say, refers to a unique identity visitor.

For data analysis tools, visitors are usually identified by anonymous IDs. For web products, cookies (a small piece of text placed on the user's browser by the website's server) are used, while device IDs are used for App products.

5. Visit

Visit, a common concept used for web products, refers to a series of continuous page browsing behaviors by a user and is synonymous with Session. With the rise of mobile internet, considering the use of Apps, Session has gradually replaced Visit as the main term.

The industry sets a validity period for the behavior between a session, which is 30 minutes for web products and a shorter time, usually one minute, for App products.

6. Pageview

Pageview, or PV, refers to the number of times a page is viewed by users and strictly refers to the request a user makes and completes to download a page from a website.

The concept of pageview is mainly applicable to web products. For App analysis, the concept of ScreenView, is mainly used.

7. Time on site

Corresponding to user Session, there is the time on site metric, which is mainly used to measure the depth of interaction between users and websites/Apps. The deeper the interaction, the longer the corresponding time spent.

Generally, there are concepts such as page time on site, session duration, and average time on site, and the core principle of calculation is to record the time stamp when user behavior occurs and apply the corresponding formula for calculation later.

8. Bounce rate

Bounce rate is an important metric that measures the quality of a landing page. The concept of bounce refers to a user choosing to leave after only one interaction during one visit. Both single-page and overall bounce rates exist.

The page bounce rate is the percentage of visits that included only one pageview of that page. The overall bounce rate is the number of visits with single-page sessions divided by the total number of visits.

9. Interaction Depth

Interaction depth refers to the number of pages a user visits during one browsing session on a website or app. The more pages a user visits during a single browsing session, the deeper their interaction depth is. Interaction depth can reflect the attractiveness of a website or app to users.

The average interaction depth of users can be calculated through sessions.

10. Conversion Rate

A core metric that any product needs to focus on, mainly used to measure the ability of users to convert from traffic to actual goal completion.

Conversion rate is generally calculated by dividing the number or proportion of target conversions by the number or proportion of people or events that enter the conversion funnel. It is a very flexible metric that can be customized for different target behaviors, such as registration conversion rate, login conversion rate, purchase conversion rate, search success conversion rate, etc. It is generally calculated by dividing the number or proportion of target conversions by the number or proportion of people or events that enter the conversion funnel.