What exactly do the words UV, PV, bounce rate mean? How do we calculate that?

The original web site: https://hitmetrics.io/blog/st…

People who have been in the industry long enough often forget that these metrics sound ridiculous to newcomers, so you have to forgive them. To learn network analysis and how it can benefit you, it is a good idea to first understand the common terminology around it.

In this article, we’ll look at basic network analytics metrics and some tidbits about how they can be used to drive insight.

1. Unique Visitors

Unique visitors are the inferred number of visitors to your site. This keyword is inferred because its accuracy for the true number of individuals (you and me) who frequently visit a site depends on how you configure your analytics tools. Most off-the-shelf configurations of tools such as Google Analytics and Adobe Analytics identify unique visitors through cookies. The purpose of this cookie is completely different from that of a cookie that stores permissions. Typically, cookies are used to store small amounts of data in a browser, including a way to identify that you are the same person who visited the site 10 days ago.

What happens if you view a website from your laptop and mobile phone? Even though it’s just you, the number of unique visitors reported is still two. The same is true if you want to clear browser cookies or access the site in incognito mode. After a visitor has been authenticated on the Web site, a more advanced analysis configuration passes the user ID to more accurately identify the visitor. This option may not be applicable, or for everyone, because it is highly dependent on the type of Web site you are running.

Bonus: Consider creating supplementary metrics that leverage unique visitors (such as repeat visitors and single visitors). Comparing the two metrics may yield some interesting surprises.

2. Visits/Sessions

Each unique visitor browses when they visit the site. Depending on the tool you use, this trip is called a visit or Sessions.

In real life, an actual trip might involve only one or more stops. You might just be on a quick trip to a local cafe, or you might be on your next big adventure through the Rocky Mountains. Similarly, access can consist of a single tracked entire access activity, or it can consist of many activities, such as multiple page views and transformation events. Visits may be short or long. It all depends on the visitor’s behavior during that visit.

The access ends after the duration of any activity is not recorded. Although the typical timeout duration is 30 minutes of inactivity, the actual time will vary depending on the analysis tool or configuration. For example, if I was going to visit this page in the morning and browse this page and other pages on this site all day, I would have two visits associated with my visitor profile.

Bonus: Try to perform a recent and frequency analysis on your site visits. This can help you answer the question “Does the convert visit the site multiple times?” Questions like this. “And” How long do people have to wait to get back to my site?” .

3. Page Views

Page views are the number of times a particular page is viewed or loaded. If you haven’t noticed the trend yet, we’ve been exploring the concept of metrics, where a unique visitor is the highest set of activity, visits are tied to visitors, and page views are tied to visits by specific visitors.

We will use the following example to illustrate these three interlinked ways.

Bob visited the HitMetrics. IO landing page on National Day. Bob then continues to read the two blog posts on the site and leaves the site.

In our network analysis tool, Bob is treated as a unique visitor with one visit and three page views.

What would happen if Bob decided to come back the next day, even though he was still not quite sober from the celebrations of the night before? In his hangover state, Bob decides to reread an article about Google Analytics alternatives that he bookmarked the last time he visited the site. Bob just wants to make sure that he is making an informed choice when choosing an analysis tool.

Now, Bob will be treated as a unique visitor, with 1 visit and 1 page view. In fact, if Bob didn’t do anything else on the site, then he would be considered a rebound! . If we were to report a time range that included these two days, our data would show that we had 1 unique visitor, 2 visits, and 4 page views.

Bonus: The “page views per visit” metric is a good way to determine the popularity of your site’s content and can also indicate pain points for users. The higher the ratio, the more pages are viewed in a single visit.

4. Bounce Rate

Some traditional marketers love or hate Bounce Rate metrics. The bounce rate is determined by the behavior during the visit. A one-line description of this is the percentage of single page visits on your site. Jumping, on the other hand, is the access of only one page view.

If Bob had only visited our home page and done nothing else, Bob would have been considered jumping, and our site would have a 100% bounce rate. On the face of it, this looks really bad, and someone could get into trouble because of this seemingly bad appearance. However, I would caution anyone who uses this metric, but be aware that the bounce rate varies depending on the site and its structure. A site made up entirely of one page will have a 100% bounce rate even if every visitor to your site reads the page from start to finish. A high bounce rate isn’t necessarily a bad thing, as long as it meets the goals of your site and how it affects your business bottom line.

Bonus: Combine Bounce Rate analysis with your traffic source reports to determine which traffic sources are really enjoying your content. If your goal is to keep users on your site, you now know the traffic sources to focus on.