The analytics shows you visits of login members.

With further analysis on different time sessions you can observe if dates of frequent member logins are conducive to your campaign performance or meet  your marketing mix.

The analytics shows you the number and ratio of authenticated users logging on to your site for the first time according to your specified sites, dates or comparisons.

The analytics shows you the number and ratio of authenticated users logging in to your site for the first time. Therefore, initial logins by member visits + re-logins by member visits = visits. Suppose the percentage of initial logins by member visits is high, it means you may need to improve your marketing campaigns particularly to existent members in terms of making more profits.

The analytics shows you the number and ratio of your authenticated users logging in to your site after the first time according to your specified sites, dates or comparisons.

The analytics shows you the number and ratio of authenticated users logging in to your site after the first login. Therefore, initial logins by member visits + re-logins by member visits = visits. If the percentage of re-logins by member visits is high, it means you are doing well on making visitors return to your site. If operators can update Web content frequently and launch special campaigns for members, it can be a momentum to more traffic flow with an increase on re-logins.

t is ranked from high to low according to the durations that authenticated members browse your site.

The analytics shows you two indicators: login member visit duration and pageviews. If the value of these two indicators is high, it means visits are more dependent on your site. On the contrary, you may need to give heed to the operating strategy and Web design if the value is low.

The analytics provides you with an overview of the number of login members according to your specified sites, dates or comparisons. As long as your members login to your site, you can overview their behavior at your disposal.

With further analysis on different time sessions you can examine the overall operating strategy by observing members’ logins. If you have more login members, it suggests your better member management and effective profit-making technique.

Notice: Users simply need to click the upper tab “User Type” to analyze visitor behavior in spite of their log-ins.

The analytics shows you the number and ratio of authenticated users logging in to your site after the first login. Therefore, initial logins by member visits + re-logins by member visits = visits. If the percentage of re-logins by member visits is high, it means you are doing well on making visitors return to your site. If operators can update Web content frequently and launch special campaigns for members, it can be a momentum to more traffic flow with an increase on re-logins.

It is ranked from high to low on the basis of the amount of time that authenticated users stay on your site.

The analytics shows you two indicators: login member visit and pageviews. If the value of these two indicators is high, it means visits are more dependent on your site. On the contrary, you may need to give heed to the operating strategy and Web design if the value is low.
To most e-commerce websites, visitor’s dependence on the site is equivalent to the overall performance of operation. While the value of Average Duration per Login by Member Visits and Average Pageviews per Login by Member Visits is low, you need to consider if you are confronted with problems resulting from overall Web design and marketing strategies.