How does bidding explain bounce rate? What is the normal bounce rate?

For example, on a page A, after the user enters your page, if he clicks on the off-site link (such as friendship link, etc.) contained in your page, or directly drops this page X, he will leave your ** from this page, which means that he jumped out of your page.

The bounce rate is the number of people who left you from page A divided by the number of people who arrived on page A,、。 For example, if a total of 10,000 people have reached your page A, and 2,000 of them have left your ** from this page, then your bounce rate is 20%.

For the bounce rate, there is no certain rule, and the ultimate purpose of bidding is the number of user inquiries (rate), order volume (rate), and bounce rate, which is only used as a certain guide.

But it should be noted that the bounce rate of some pages is very telling, such as: **home page or**activity page, if you have an ad that only points to your **home page, and you detect that your home page bounce rate exceeds 30%, or even higher, I think it's not normal, you can consider whether the web design is not attractive, but from the ** tone, column collocation, etc., if it gives people the first feeling is not good, then it is reasonable to drop the page. Or for the ** page, is the product setting position not reasonable enough, the advertising creativity is not good enough, etc.

If it is an inner page, if the bounce rate is around 50%, it should be relatively normal. Of course, based on the bounce rate of the product detail page, you can summarize which products are more attractive.

Summarize it yourself.

Bounce rate is a very important metric in analysis, and it is mainly used to measure how well traffic matches content. The following is a detailed explanation of the causes and solutions of the high bounce rate from 4 aspects:

1. Visitors visit a single page.

A single-page visit is when a visitor visits you, only browses one page and leaves, and this page is also the first page that the visitor enters. This situation mainly illustrates two problems:

The content in the page is not what the visitor is looking for, and perhaps the visitor has been misled by the advertisement;

The content in the page is what the visitor is looking for, but the user experience of the page is poor, and the visitor does not continue to browse;

The solution is to segment the page or traffic with the highest bounce rate and optimize for the problem page or traffic. If it's a page issue, you can do a b-test or a multivariate test; If it's a traffic issue, you can adjust the keywords, change the ad creative, etc.

2. The visitor clicks on the outbound link.

Tag or filter such pages with more off-site links separately to avoid affecting the real bounce rate of the whole site;

3. Non-page browsing operations.

Non-page view actions are those that do not result in a new page view, such as subscriptions, conversations, and so on. These behaviors do not trigger new page loads, and they are not automatically tracked by the analytics tool by default. So, when a visitor visits a page, even if they have completed a task (**, subscription, etc.) and left**, it will still be recorded as an exit visit.

4. Track ** installation errors.

Analytics relies on tracking to identify, and if there are missing pages in the page, it will also be recorded as a bounce when a visitor arrives from a landing page. Because the latter page is not tracked, the analytics tool certainly doesn't know that the latter page is also part of the trail.

The way to solve the missing addition of tracking is to check the entire site to ensure that all pages have the correct tracking installed.

Upstairs is basically correct It depends on the time of browsing.

There is a bounce rate in the statistics, keyword bounce rate, etc., which means that after netizens search with this keyword, click into the customer's **, and visit the page they entered, they did not click on other pages to view, this rate is the bounce rate, of course, the higher the bounce rate, the more unfavorable the situation. Generally speaking, 50% of the bounce rate is normal, more than 70% of the problem occurs, more than 90% is the problem is serious, it is recommended to check the relevance of the keyword, how the opening speed is, do not link to meaningless web pages.

The average visit duration is the ratio of the total time spent by netizens to the number of visits to a page or the entire page. So the formula is: total time spent Total number of visits = average visit duration.

If the total time spent in a certain period of time is 1000 seconds, and the total number of visits in this period is 100 times, then the average visit time of this page or ** is 1000 seconds 100 = 10 seconds. The average visit duration indicates that the ** attracts the attention of netizens, and on the contrary, the section of ** should be improved, the navigation is clear, and more useful information related to the search of netizens should be added.

The bounce rate is to click into the ad page and leave, without entering other pages, the average visit time is the time to browse the number of pages visited, you can see the problem from it.

Observing the bounce rate of keywords can tell the user's recognition of the content, or whether your Kunshan logistics is attractive to users. Whether the content can help users retain users can also be directly seen in the bounce rate, so the bounce rate is an important criterion for measuring the quality of the content.

The bounce rate is an important metric for analysis, which is often used to evaluate the user experience and can be used to guide and improve the page. The higher the bounce rate, the lower the attraction to visitors, and when the bounce rate reaches a certain level, it means that some optimization or page updates are needed.

Click-through rate: refers to the ratio of the number of clicks on a certain piece of content on the page to the number of times it is displayed, that is, clicks views, which is a percentage. It reflects the level of attention that a piece of content on a web page has received and is often used to measure the attractiveness of an ad.

At present, many people confuse the concept of click-through rate with clicks, which is a measure of traffic, that is, pageview, which refers to the number of times a visiting user clicks on a page. Therefore, when many people say that the number of clicks is tens of thousands, they actually refer to the number of clicks, or page views.

The bounce rate can be queried through statistics, and the bounce rate of Suzhou logistics company is more than 50%. A high bounce rate means a poor user experience, and the higher the bounce rate, the worse the user experience. Many webmasters are worried, if the bounce rate is too high, will it be K station?

In optimization, the user experience is at the core.

There are many criteria to measure whether a Kunshan freight company is good enough, whether it is weight, or PR, or keyword ranking, inclusion volume, etc., but now one of the core of search engine judgment is user experience, after all, the main customer of the establishment of a ** is the user, and everything is for the user to serve. So many webmasters are asking, what is the user experience? One of the most critical is the bounce rate, if the bounce rate is too high, it is definitely worth reflecting on.

Including**access speed,**content quality,**internal interface layout,high bounce rate,not necessarily k station,but high bounce rate,poor user experience,will not give the station a high weight,no high weight,no ranking,no ranking,no traffic,Even if there is traffic,If you hang ads,The same traffic quality is relatively low。

General Impact**(

I have a** Forest Girl, and when I recently looked at the statistics, I found that my ** bounce rate was 100% a lot of the time. To be honest, I used to be vague about bounce rate, and I always thought it had to do with time spent on the page. For this, I specifically researched it.

To understand what the "bounce rate" is, it is necessary to explain to you how statistics define the action of "bounce out". If you enter a ** and only open one web page, you leave. Then, your behavior is statistically considered to be "jumping out".

1. Close the browser.

2. Close the page.

3. Stay on the webpage for a long time and have not opened the other webpages of the ** again.

Now that we know the concept of "bounce", the formula for "bounce rate" is: bounce rate = number of pages with only one page opened Total page visits.

You can define this time span, whether it is a "bounce rate" by day or month, the formula remains the same.

Users only need to view your single page to meet their needs, and this bounce rate will be very high, and the time on page will be relatively short.

This kind of ** does not need to register, does not need to log in, click to see it, and leave after reading.

For example, if the user arrives at your web page through a search engine in order to solve a certain problem, the user will generally leave after reading it, because only your article meets his needs, and he will not continue to browse other web pages.

If the user only browses one web page and cannot meet their needs, and the "bounce rate" is very high, then these traffic must be meaningless spam traffic.

The most typical is shopping**, users need a lot of steps to buy in **, and naturally they also need to browse a lot of web pages, if the "bounce rate" of this kind of ** is very high, it must be abnormal.

If there is a direct relationship, there is no need to divide it into two indicators. However, according to the difference between the two indicators, something can still be analyzed.

The bounce rate is high and the average time on page is short.

This is the worst-case scenario, which means that the user doesn't want to stay on this page for any longer.

The bounce rate is high and the average time on page is long.

The bounce rate is low and the average time on page is short.

Under normal circumstances, this situation rarely occurs, unless it is mostly old users, with a strong sense of purpose, and they can complete their needs after simply browsing a few web pages. This may indicate that your user experience is good.

The bounce rate is low and the average time on page is long.

It's a good one**.

What are the reasons for the high bounce rate:

The homepage of ** is unreasonable, of course, including the layout, as well as the prominent section, etc., which will lead to potential customers who cannot find the demand and exit after retrieving **;

** Open speed fast or slow problem;

Whether the content is valuable, etc.;

How to reduce the bounce rate

Improve the access speed of **;

Pay attention to browser compatibility;

Relevant content;

Clever anchor text.

Bounce rate is an important indicator to evaluate the performance of a**, high bounce rate, indicating that the user experience is not doing well, the user will jump out, on the contrary, if the bounce rate is low, it means that the user experience is doing well, and the user can find the content they need. And he may come back to patronize your ** in the future, which improves user stickiness. Slowly, you can accumulate a large number of ** users.

The main reason for the high bounce rate of this problem is that there is a problem with your creative writing, and you don't want to do anything with the content that customers want to see. This shows that creativity needs to be updated!

Also, mistakes are hard to avoid, try to avoid the peak of useless clicks! This needs to be observed, and the useless click time period is different for each industry!

The number of visits that bounced out of only one page divided by Total Visits is the bounce rate.