Song Star: network marketing measurable core indicators (b)Engagement is a meaning-rich index, which is used to measure flow generation and occurred after the final conversion process before the user behavior and, in particular, reflect the degree of user interest for marketing activities / sites, and weigh a number of factors affect the final transformation. Air Jordan Women Text / world network operators invited authors, web analytics in China, founder of Song star on a stage we showed two main methods to measure the effect of network marketing - a measure of change in people's hearts and change people measure behavior. Change people's behavior, according to the impact from shallow to deep logic, we divided into four stages: Traffic, Engagement, Conversion and Retention, and gave details of the Traffic in, as we explain below Engagement. What Engagement Engagement does not mean a specific measure, but a series of metrics collection of user participation in marketing activities. Because the site is part of the marketing campaign, so Engagement lot of time to measure the degree of user interaction with the site in the site content and functionality. But Engagement fact, not only that, it can also measure user marketing activities in other interactions, such as micro-blog marketing users to read, comment and forwarding, or interactions audience and rich media advertising. Engagement is a meaning-rich index, so to understand it - it's to measure traffic Nike Hyperdunk generation and occurred after the final conversion process before the user behavior and, in particular, reflect the degree of user interest for marketing activities / sites, and measure the impact of the final conversion of and many other factors. So, Engagement is not the same one as Visit standardized measure. In this regard, the Americans (Avinash Kaushik and Eric Peterson) also have different views, a think this is a worthy start to become standardized measure, a then it should not be considered a measure, it is difficult to standardize application. Whoever makes more sense, in solving specific problems, Engagement has a very significant value, so in our core indicator system, I always think Engagement is one of the most important piece. Engagement can be divided into two categories, one is able to measure user behavior standardized index family, the other is the definition of family demand indicators depending on the circumstances. Meaning two different indicators, similar effects are very important. Engagement Engagement Index standardization standardized indicators into the macro level and micro level. Macro refers to a web site site-wide situation of Engagement, while micro Engagement refers to a specific page on the case. Macro Engagement main indicators are our so-called 'third kind' --Bounce Rate (bounce rate), PV / Visit and Time on Site, these three indicators describe the three different types of user behavior. Bounce RateBounce Rate shows the user whether or not to enter the site for content sites have an interest. If not, then the user does not click on any link on the page to leave so that he in fact only see the sites presented to him landing page (landing page). Bounce Rate is a technology with the progress, but did not do much to change the targets. Some friends asked me if a person enters the landing page, he carefully read the content on the landing page for several minutes, but did not click on any link above to view other pages, he considered Bounce off it? This is the Bounce Rate define most web analytics tools clearly marked, that in fact this Bounce or not the user is viewing time on the landing page has nothing to do with whether he only click into the other pages related. Click to go to other pages if there are, then it is not out of, or even jump. So the above situation no matter how long a visitor saw the landing page, as long as it did not click on any links on other pages to enter, it is still a Bounce. So it seems the definition of Bounce Rate perhaps too harsh, and is independent of the length of time browsing the page seems to be unreasonable (later also specifically stated matter of time). But this definition is technical simplicity and seize large probability events (see page several minutes not click on any links does the page be a small probability event) under the combined effect of the principle of efficiency resulting 'best solution', so it has been follow. Interestingly, long time ago, Avinash Bounce explanation for browsing time less than 10 seconds on a page / site (or 30 seconds, I remember very clearly) situation. However, since the user page view time is not easy to accurately monitor (or reduce the technology to accurately monitor the implementation of site analysis tools simplicity) and alternative (which is now defined Bounce rate) is still able to fairly accurately describe the reality out of The situation, therefore did not use most of the tools are browsing time basis for the definition of a bounce and Bounce Rate. PV / V and Bounce Rate different, PV / Visit (often abbreviated as PV / V) describe the behavior of another class of user interaction with Nike Shoes the website, viewing depth site. Users visit during the more the number of (Visit) see page stating that user interested in the more intense. Therefore, under normal circumstances PV / V higher the better. Of course, the interests are active and passive interest of the points of interest. Passive interest refers to the site can not be found because the content you want to keep trying to find, PV / V will be relatively large, but this is not a good phenomenon. Time On Site Since talking about the browser depth, that nature has a length corresponding browser that Time on Site, that people visit the site with average residence time. For example, a site has three access, a stay of 2 minutes, a stay of 10 minutes, a residence of 0 minutes, then Time on Site is 4 minutes. And PV / Visit, like, in general, the value is the better. However, it is worth noting that the actual time on the site statistical analysis tools and user time spent on the site is certainly different. People visit the site of the last page is not the length of time statistical analysis tools to the site. The reason is simple, because most web analytics tools do not count people leaving a site the exact time, but can only record the exact time he visited the site of the penultimate page, the residence time so that the last one he actually visited page completely ignored. You may ask why do not count on the last page of the residence time? Because the site analysis tool by default behavior of the user closes the page, or jump from this page of the browser window to conduct other sites do not do statistics, unless you specialized settings. If you do not do additional setup, this arrangement means two things: first, the site analysis tools to our site browsing time is always less than the site in the browser is open time (although the browser opens the page does not necessarily mean that you really of every minute looking at it); second, all off Bounce Visit (that is, only a visit Visit a page) on the site of the residence time is counted as zero. Indeed there are some websites analytical tools to break this stereotype, people can try to record the moment of time to leave the site. But I personally feel, in fact, meaning is not particularly large, unless the last page of each visit is a great chance to make more of those special needs people to stay closer viewing. Statistical methods as long as the tool for consistency, then even less the residence time of the last page, you can still achieve Apple to Apple comparison, users can still help us to grasp the macro Engagement situation. Moreover, the difficulty of reducing the technology implemented to improve the consistency of the monitoring, thereby improving the accuracy of the monitoring. (Because the method of recording the exact moment to leave the site actually is not completely reliable, only a chance to be able to count, which makes these methods actually reduce availability.) Visit / UV and other user stickiness indicators Macro Engagement Engagement Index There is also a common we do not, we mentioned earlier that Visit / UV This metric. It is used to measure the viscosity of visitors to the site. If you like a particular site, you will often come, it will bring more of a UV Visit. Visit / UV value, the higher customer loyalty means that this site. There are also other indicators showed Engagement user stickiness, such as access frequency distribution, access time distribution. I did not particularly use of these two indicators, I believe that the best interpretation of them is the contrast between the different sites, and comparison with their psychological expectations. Engagement microscopic level indicators microscopic level Engagement Index is essentially describe specific user behavior on the page, the more important one is the Exit Rate (exit rate). Exit Rate is a measure of the probability page as the last one before the user exits the browser page of the site (as compared to their overall has been viewed). For example, a page-out rate is 75%, then it means that all PV visit this page generated, three-quarters of these visits is to exit the PV Last web pages on the site before. Here I want to say is, Exit Rate Engagement metrics can help page (in front of the whole station is a measure of macro measure Engagement) is more microscopically, it is a measure to measure page performance, similar to the measure as well as Average Time on Page, Next Page Flow like. Demand indicators defined Engagement Engagement standardized indicators describe a variety of user behavior, but not enough to cover the more specific measurement and analysis needs. For example, a site has some very important specific user behavior (Action), such as registration or login, apply for an opportunity to try and download a product description, or to add an item to a shopping cart. For these specific user behavior, standardized Engagement indicators they actually do not have any additional considerations. Engagement Index at this time we need to customize for describing particular those valuable user behavior. These two types of behavior: 1 non-standard behavior: those Action mentioned above, such as registration, login, trial, download, click on a Air Jordan 5 Retro particular position or function, add to cart, etc., all fall into this category. The need to be more focused on user behavior standards set their own conditions after Engagement. For example, with a relatively Visit, Visit the length of time over three minutes is a more specific user behavior, or browse Visit Visit a few pages more than three are also more specific user behavior. In addition, you can also set the access of a particular page Visit also fall within the definition of user behavior conditions. These differ according to the criteria you set, to give the corresponding measure of value is not the same. You will find these indicators quite 'free.' Yes, they really are according to your needs and freely defined, which means that people are using with your Engagement indicators may be entirely different. But we do need these indicators, otherwise we can not fully describe the characteristics and value of user behavior, it can not carry out targeted analysis and optimization. Defined by the presence of Engagement demand indicators, allowing network marketing analysis can really match the business. Otherwise, just use the Visit or Bounce Rate to measure traffic and user behavior, it is too sketchy. Now, your question may arise - and these indicators since it is a custom, then the site analysis tools certainly do not have a uniform standard report their data, how we should obtain these data? Engagement indicators to monitor the necessary conditions needed to achieve defined Do not worry, no one indicator can Air Jordan 7 Retro be the first indicator that it is capable of being monitored. If you can not be monitored, there is no value of its existence, which is called - can not measure that is not there. Custom Engagement indicators must be monitored. Web site analysis tools actually provide a very comprehensive approach, several points are as follows: 1. The user Action is click on the link to open a new page this case we do not actually need to implement additional monitoring tool because click on the link to open a new page that will record the new page opens new PV. So we Air Jordan 5 Retro opened the new statistics page PV can know the number of users click on the appropriate links. Of course, the number of clicks and page opens not corresponding to 100%, but it has been very close and did not affect our analysis. The data is downloaded with Excel, and then make a selection, you think belong Engagement page to access data recorded. If the same per-click link to open the page is not static page URL, the URL is not the same but each dynamic page, it does not matter, we can filter settings (such as filtering settings GA) to the URL not the same dynamic pages unified into the same URI, GA in record time so that would not be considered to be a lot of pages, but will be recorded as a page up. However, this method must have a precondition, that is, the dynamic page URL is a certain format, that at least some similarities, completely random URL, there is no other way. 2. Users of Action is click on the link does not open a new page, but open some specific features of these features include: After you click open the JavaScript or Div floating layer, click the Flash, then click on a variety of circumstances chains . Under these circumstances you need to configure our GA monitoring code. (1) Click the object is a floating layer JavaScript or Div. Use Event Tracking function (the official document, in English) or Virtual Page functions (official instructions, in English) functions. The principle of this method is plus or Virtual Page Event Tracking calls on their own onClick event click action. For example: \u0026 lt; div onClick = '_ gaq.push (['_ trackEvent', 'Videos', 'Play', 'vid 1'])' style = 'cursor: pointer;' \u0026 gt; Your content here \u0026 lt; / div \u0026 gt; Event Tracking and Virtual Page difference is that the former will record the action of clicking on the GA's Event report, which is to activate this action as a page (Page) recorded and displayed in the Content report. These two methods are GA must learn to master the method. (2) Click the object is a Flash. Thinking with the above situation is similar, but Nike Lunar Haze also need to use Event Tracking, or Virtual Page feature, but take the appropriate method to write Flash, some complex and requires technical department colleagues to help solve. (3) Click on the object of outbound links. The official method is very similar to JavaScript or Div monitoring method is to outbound links (Outbound Links) click behavior (onClick event) do Event Tracking or Virtual Page. This requires each outbound links do onClick event references, and add Event Tracking and other methods. [Welcome to search on a micro letter 'txws_txws' Follow our official micro-channel, 6 a day to miss the wonderful article. ]