"October 2013 domestic social media sharing data ranking report" Analysis

Source: Internet
Author: User
Keywords Social media
Tags analysis button content data external information media recommendation engine

Website users share their favorite content of the site through the social sharing button outside the station, through the fan fermentation, friends spread and other ways to further expand the scope of the site information to achieve the purpose of increasing the website traffic; Recommendation engine that we say is recommended in the station, is through the initiative to identify the user's current or potential needs, and actively push information to the user. Station external drainage combined with the recommendation of the station, so that user stickiness greatly improved. October we combined with jiathis data sharing and friends recommended smart recommendation data analysis, found the following:

1. The amount of sharing is proportional to the content of the recommendation

As we all know, the content of the website is high quality site traffic (access to IP), the greater the share of the higher, and the recommendation engine is based on keyword matching recommendations, the content of the article is rich, contains more than the network keyword, the recommended article will be more accurate, user stickiness (website PV) will be more secure. Jiathis through the partial sharing and recommendation of the site found, sharing each generated more than 3 clicks that will bring the recommendation button in a station click recommend.

2.25 to 39 years of age group sharing is easy to accept the Electronic business shopping site recommended content

Double 11 shopping Carnival is coming soon, jiathis specifically for the electrical business of the recommended information for the analysis, to Suning, Gome, for example, Suning shares in recent days to reach more than 200,000 per day, the recommendation page of the United States activity products to reach hundreds of thousands of times a day, it seems that double 11 who topic hottest, Who sold the most, the outcome is still suspense, fine analysis of these clicks of the crowd, it is not difficult to find, mainly concentrated in the 25-39-year-old, about 63.23% of the proportion.

October Sharing Analysis

1. Video program fire, Weibo share the greatest contribution

"The good voice of China", "Where's daddy Going", "Almighty Star Wars"? In addition to the quality of the programs themselves, social networking has been a big boost, with SNS communities and micro-blogging media playing the biggest role in all social platforms, with about 45.61% per cent of the total share of micro-blogging media.

2. October share the list of specific rankings change

Micro-Letter up 2, Sohu dropped 1, everyone net down 1, Amoy Lake Rise 2, NetEase Weibo rose 1, QQ friends down 2, MSN up 1, Facebook up 1, Baidu space down 2.

———-

Attached: jiathis.com company Data Source Description: Jiathis is a "social sharing" aggregation button provider, for more than 800,000 sites to provide "collection & sharing" button services, this aggregation button on the integration of such as: QQ, Sina Weibo, happy net, Renren ... More than 120 social "collection & Sharing" buttons. Jiathis through October 2013 to share the data, for nearly 100 million users to use a variety of sharing buttons, a comprehensive analysis of statistics, obtained the above data reports.

Noun Explanation:

Share: The number of times users use jiathis sharing tools to share a page with a social media

Return to traffic: After sharing a social media, users click the Share link to return to the share page browsing times

Share ratio: share of a social medium in a single month, as a percentage of the total share of total social media sharing

Share reflux Rate: return flow/share = share reflux rate (this data can reflect the social communication ability of the website)

Related Article

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.