Search,Analytics,Metrics,You,S technology 4 Search Analytics Metrics You Should Look For
Active shredder safety technology for the small office. Shreds 15sheets per pass into 5/32" x 1-1/2" cross-cut particles (Security Level3). Patented SafeSense® Technology stops shredding when hands touch thepaper opening. Designated shredde The electronic cigarette is not new. People who buy electronic cigarette knows that this product has been in the market for years now. Despite some sectors apparently trying to shoot the product down from the shelves, the popularity of elect
Today Big Data is one of the biggest challenges that enterprises are facing as data continues to grow and enterprises across the globe have to find a way to manage and analyze all this data. The solution to this is the new age enterprise search tool, which is equipped with an advanced set of text mining features. In fact, the text mining features are extremely useful in analyzing the enterprise data which is in multiple formats and is collected from various sources, as varied as social media to emails. However, when it comes to a process, it is important to understand whether it is performing as effectively as it should. This is where there comes the need to analyze the performance of the text analysis process used in analyzing and finding information. This is where the need for Search Analytics comes into the picture.What is search analytics? It is a technology that allows you to analyze if your search platform is performing as intended, and if your users are getting the results they seek. There are a set of parameters on which search analytics results are based, and they are known as the metrics. Conversion rate, number of results per query, and top search terms, are a few examples. The advent of advanced enterprise search tools have made it easy for organizations to implement this concept. 3RDi Search is one such platform that offers advanced search analytics along with text mining capabilities. Another example is Commvault, which also offers data integration and analytics for enterprise data. So, here are the 4 key metrics these tools consider when formulating search analytics.1] Most Clicked ResultsThe most clicked results refer to the results on the results page that more users click on more often. In other words, these are the results that get the highest number of clicks. When the user gets an entire page or more of results after entering his query, not all results will cater to his requirements in the same way. So, there are certain results that appeal to the user, while the others do not. The purpose of this metric is to help the enterprise figure out which results are the most relevant when it comes to the target users.2] Top Search TermsTop search terms are nothing but the terms that are really popular with the target users of an enterprise. In other words, these are the terms that are most frequently looked for. Closely studying the top query terms over a period of time can help the enterprise identify the “trends” – the information that most target users are looking for.3] Conversion RateSo, the enterprise has a search analytics tool that works fine and there are people who are landing up on their website. But the next step is conversion – the users who turn into customers of the business after landing up on their site. Conversion rate indicates the number of users per 100 users that are converting into customers.4] Number of Results for a KeywordThis is another key metric and it determines the number of results that a said keyword fetches. Often it happens that the number of results for one keyword can vary drastically from the number of results fetched for another keyword. This can translate to poor user experience, and if it is detected, steps should be taken to bring in some uniformity.In addition to the ones mentioned above, there are quite a few other search analytics metrics that enterprises can use to understand how their platform is functioning. The insights drawn from search analytics can be used for formulating informed business decisions. Article Tags: Search Analytics Metrics, Search Analytics, Analytics Metrics, Text Mining, Conversion Rate, Search Terms, Target Users
Search,Analytics,Metrics,You,S