Search analytics is the use of search data to investigate specific interactions between web searchers, search engines, or content during episode searches. The results of the analysis and aggregation of search engine statistics can be used in search engine marketing (SEM) and search engine optimization (SEO). In other words, search analytics help website owners understand and improve their performance in search engines, such as identifying valuable site visitors, or understanding what users mean. Search analytics include trending and search volume analysis, reverse search (entering a website to see their keywords), keyword monitoring, search results and ad history, advertising expenditure statistics, website comparison, affiliate marketing statistics, multivariate ad testing, et al.
Video Search analytics
Services
Last updated: 2018-05-09
Maps Search analytics
Data collection
Search analytics data can be collected in several ways. Search engines provide access to their own data with services like Google Trends and Google Insights. Third-party services must collect their data from ISPs, call home software, or from scratching search engines. Getting traffic statistics from ISPs and phone homes provides wider web traffic reporting in addition to search analytics. A service that performs keyword monitoring erodes only a limited set of search results depending on the needs of their clients. The service provides reverse searches, having to scrape a large number of keywords from search engines, usually in the millions, to find the keywords that everyone uses.
Because search results, especially ads, differ depending on where you search, data collection methods should take into account geographic location. Keyword monitors do this more easily because they usually know what location their clients are targeting. However, to get a complete reverse search, some locations need to be corrected for the same keyword.
Accuracy
The accuracy of search analysis depends on the service used, data collection methods, and data freshness. Google releases its own data, but only in an aggregate way and often without specifying absolute values ​​like the number of visitors to its graph. ISP logs and home phone methods are accurate for the population they sample, so the sample size and demographics should be sufficient to represent the larger population accurately. Scratching results can be very accurate, especially when looking at organic search results that are not paid. Paid results, from Google Adwords for example, are often different for the same search depending on the time, geographic location, and search history of a particular computer. This means that the advertiser's bluff can be hit or missed.
Market conditions
Seeing Google Insights to measure the popularity of these services shows that compared to searches for AdWords terms (Google's popular search ad system), the use of search analytics services is still very low, around 1-25% as of October 2009 This could indicate a great opportunity for users and analytics makers search service recall has been around since 2004 with some new services started since then.
Calculation
Sessions with Search = The number of sessions that use your site's search function at least once.
Percentage of sessions using internal search = Sessions with Search/Total Sessions.
Total Unique Search = The total number of times your site search was used. This does not include multiple searches on the same keyword during the same session.
Result/Result Pageviews = Pageviews from search results page/Total Unique Search.
Search Exits = Number of searches performed immediately before leaving the site.
Search Exit Percentage = Total Exit Search/Total Search
Search Enhancement = Frequency of retrieval immediately after searching.
Search Perfection Percentage = The percentage of searches that resulted in search refinements. Calculated as Search Refinement/Page View from search results page.
Time after Search = The amount of time users spent on your site after searching. This is counted as the Number of all search_ durations in all searches/(search_transition1)
Search Depth = Number of pages viewed after searching. This is counted as The sum of all search_depth in all searches/(search_transitions 1)
See also
- Search engine optimization
- Keyword research
- Search Engine Sellers
- Search engine marketing
- Google Adwords
- Data Analysis
- Internet Marketing
- Incoming marketing
References
Source of the article : Wikipedia
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