User Behaviour and Navigation

1. User Behaviour 

Search engines performing over a period of time has become able in introducing different methods for analysing the relevancy of the different contents based on the manner of interaction carried out by the users associated to the contents. Quality stands as a significant factor that are needed to be maintained by the search engines in that other parameters for ranking signals like page optimization and also the back links can tend to be subject to manipulation. The significant user behaviour signals that are used are identified as follows: 

 

● Engagement of the user with the different contents: In cases where tends to click on a specific search result and then again returns back to the search engine for repeating the search, then the search engine becomes able to detect the repetitive search behaviour of the user. In case where the same happens in a repeated manner for a site it tends to down-weigh the assessment of the search value.  

● Bookmarking: Search engines can easily help in detecting bookmarks especially linked to favourites. The same counts to be an effective ranking signal for the search engines.  

● Social Sharing: Search engines like Google and Bing have both acknowledged the fact that the shares can be used by them on different social networks and also can detect whether the sharing is carried out by an influential section of social networkers. Social media networks like Facebook tends to use datasets based on past user behaviour for showing advertisements to those people within the target audience that are most likely to perform the action that is desired by the company viz. visiting the sites, availing offers and promotions, viewing the offerings and also making needed purchases. Facebook helps in tracking of different types of user behaviours like their shopping trends, the digital devices like Smartphones and tablets used by them and also whether the customers tend to own assets like house and vehicles. 

2. User Navigation 

Regarding the aspect of user navigation, the ‘flow’ parameter is attached due significance in that the same helps in easily deciding on the degree of flexibility and easiness gained by the users in terms of navigating from one web page to the other in search of relevant information. The navigation experiences and quality of information gained by the users tend to influence their frequency of visiting the sites.  

The ease of use gained by a user is determined based on mainly four different factors like structure, page layout, navigation and interaction. Navigation is associated with the movement of the user from one particular web page to another based on the support gained from different navigational tools like that of menus and also hyperlinks.