A case study: How to analyze the website user group from the visitor attribute

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The quality of the user group directly determines the operation of the site is good or bad. Visitor attribute is an important factor to measure the value of visitors to the website, and also an important index to measure the user experience of the website. Visitor attributes determine whether the user group of the site meets the required quality by analyzing the visitor's basic attributes, geographical distribution, system environment, new and old visitors and accounts, and user access loyalty.

Visitor attributes are especially important for travel sites, because tourism sites are service-oriented and must have high quality visitors, otherwise the site will run into a black hole. Niche currently operating poly-road Tourism Network, there is no PV 3000 +, independent visitors number also has 1000 +. Today, we will take the tourism network as an example to share how to analyze the website user group from the visitor attribute.

Above said, the visitor attribute analysis mainly from the visitor basic attribute, the geographical distribution, the system environment, the new old visitor and the occupation ratio, the user visits the loyalty degree these five aspects carries on the analysis, below unifies the example, one by one share to everybody.

Visitor attribute One: Visitor basic attributes

Visitors ' basic attributes include sex ratio, age distribution, educational background distribution, occupation distribution, according to different types of Web sites, these aspects have great differences. Generally we calculate the visitor basic attribute, all is three months as a cycle.

To take the tourist network, the proportion of visitors to the male ratio of 48.81%, female ratio of 51.19%, and in fact, the tourism industry site average male visitors should be higher than women, the 20~39岁 proportion of visitors age distribution is 80.45%, and the industry average is only 55.5%; The proportion of the senior high school education is 44.49%, but in fact the industry ratio is about 33.3%, and the professional distribution of visitors is 47.8%, but the average industry level is only 11.22% ... It can be concluded that the quality and proportion of visitors to the site can also be optimized and guided in the industry.

Guest attribute two: geographical distribution

Visitor geographical distribution can be seen from the IP where visitors are visited, which is very important for the tourism industry, because tourism products are generally "from xxx to XXX tourism", there is a large geographical limit. More than 52.23% of the visitors to the travel network are from Sichuan, followed by the Guangdong region. Our current intention user is "Sichuan scope" and "Guangdong area", so the relative comparison matches.

Guest attributes three: System environment

The system environment is typically PC-side and mobile-side. PC-side visitors and mobile-end visitors to the site after the behavior is a difference, for no Adaptive mobile Web site, the focus is on the PC side of the guide. The PC end of the travel network is 94.6%, which belongs to the normal level in the tourism industry.

Visitor attributes four: Proportion of new and old visitors

The higher the proportion of new visitors, that the promotion of the website to do better; the higher the proportion of old visitors, the higher the viscosity of the site. Normal travel site, the proportion of new visitors should be around 80%, the proportion of old visitors around 20%. The average number of new visitors to the travel network of 93.75%, the average of the old visitors 6.25%, than the normal level of some, because the recent has been doing bidding to promote the adjustment, resulting in too many new users, offset the proportion of old visitors.

Guest Properties Five: User access loyalty

User access loyalty is mainly reflected in the number of users each visit the page, the number of more, we believe that the higher the loyalty. According to the tourism industry's average situation, visitors generally browse a page to leave the proportion should be around 40%, the travel Network for 67.41%, the proportion of severely exceeded.

Through the above five aspects of the visitor attribute analysis, we can more clearly distinguish whether the site's visitors are healthy and high-quality, if we find that some aspects of the poor, we need to adjust the strategy immediately, to avoid the deeper.

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