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Search within the site • Product Search, is the user within the site to find specific information common tools. Continuous observation of the search usage rate, can survey the user's understanding and expectations of change.
I. Definition
When you import a search tool such as WebSideStory search, Mercado, Google Search Appliance, Endeca, and so on, you can measure how many of your visitors use the search. The most common method of measurement is to insert a label on the search results page, or to identify it from log analysis. The calculation formula is as follows:
Read more than once the number of visitors/total visitors to the search results page = search usage
Not based on "visitors", but based on the "number of visits" statistics, it can also be useful to know if a person is using a search for different accesses. In this comparison, the results of the two methods of calculation are different.
In different business contexts, search placement is extremely important, and if the site analysis tool can correspond to complex subdivision, it is recommended that this site KPI segmentation tracking.
Ii. Forms of Expression
The Site KPI report should be made clear: the value is to read the "1 Times" search results page of the proportion of people, note, not external search engine, but the "site internal search" usage rate.
Iii. expected objectives
Search usage, depending on the expected type of visitor and the information provided by the site, the type of goods, the overall availability of the site. Some sites have a majority of "Site searchers", and some sites have few people searching in the site. As long as the design of the site does not change significantly, the value is almost stable.
Iv. Action
Because the value is basically very stable, so if there is a drastic change, it is likely that the recent web site revision, there have been some mistakes. If you drop sharply, you have to think, "are the site search tools working properly?" In addition, no matter how much you invest in your search tool or if your usage is low, you may have been able to implement faulty search configurations or some poor design in-site search.
This article extracts from Eric T.peterson's "Web Analytics KPI Encyclopedia"
(Copyright GUI Lin website Analysis blog All, welcome to reprint, but reprint please specify the source.) )
Original: HTTP://BLOG.DIGITALFOREST.CN/KPI-SOUSUOSHIYONGLV
The average number of items per cart in the website KPI series