How Are the Metrics for Internal Site Search Calculated? Essay

How are the metrics for internal site search calculated? Google Analytics uses the following formulas to calculate the metrics used in internal site search reports: •Visits with Search = The number of visits that used your site’s search function at least once. •Percentage of visits that used internal search = Visits with Search/Total Visits •Total Unique Searches = The total number of times that your site search was used. This excludes multiple searches on the same keyword during the same visit. Results Page Views/Search = Page Views of search result pages/Total Unique Searches •Search Exits = The number of searches a visitor made immediately before leaving the site. •Percentage of Search Exits = Search Exits/Visits with Search •Search Refinements = The number of times that a visitor searched again immediately after performing a search. •Percentage Search Refinements = The percentage of searches that resulted in a search refinement. Calculated as Search Refinements/Page Views of search result pages. Time after Search = The average amount of time that visitors spend on your site after performing a search. This is calculated as Sum of all “search_duration” across all searches/(“search_transitions” + 1) •Search Depth = The average number of pages that visitors viewed after performing a search. This is calculated as Sum of all “search_depth” across all searches/(“search_transitions” + 1) Sample Calculations This section describes a visitor’s experience with your website’s search engine and explains how Google Analytics calculates the resulting data.

The visitor progresses through three different pages when interacting with your website’s search engine: •Search Page – Page on site where the visitor enters terms for a web search •Search Results Page – Results page that is returned on a search engine query •Results Page View – The page viewed after a click on a results page Assuming that your website received three visits from visitors that navigate as described: •Visit 1: (time between “camera” term search page and “black camera” term search page is 30 seconds and “black camera” search to site exit is 60 seconds) Search Term Page (term “camera”) >

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Results Page > view Results Page View > view Results Page View > Search Term Page (term “black camera”) > Search Results Page > view Results Page View > view Results Page View > view Results Page View > Site exit •Visit 2 : (time between “computer” term search page to site exit is 15 seconds) Search Page (term “computer”) > Results Page > Site exit •Visit 3: No Search The following metrics can now be calculated: •% Visits used internal search = 2 Visitor that used site search (Visit 1 & Visit 2) /3 Total Visitors = 66. % •Visits with Search = 2 (Visit 1 & Visit 2) •Total Unique Searches = 3 (“camera”, “black camera”, “computer”) •Results Page Views/Search = (2 + 3)/3 = 1. 67 •Search Exits = 1 (Visit 2) •% Search Exits = 1 (Visit 2)/2 (Visit 1 & Visit 2) = 50% •Refinement = 1 (Visit 1 – “black camera”) •% Refinement = 1 (Visit 1 – “black camera”)/3 = 33. 3% •Time after Search = (30 seconds + 60 seconds + 15 seconds)/(1 + 1) [visit 1 & visit 2] = 52. 5 sec •Search Depth = (2 [“camera”] + 3 [“black camera”] + 0 [“computer”])/(1 [Visit 1] + 1 [Visit 2]) = 2. 5

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