Editing Analytics (section)

==Usage Types==
===Web Analytics===
Web analytics is the practice of analyzing the behavior of visitors to a website. The use of web analytics enables a business to attract more visitors, retain or attract new customers for goods or services, or to determine which parts of the website work towards the marketing efforts.
===Social Media Analytics===
Social Media Analytics is the practice of gathering data from social media sites and analyzing that data to make business decisions. This process goes beyond the usual monitoring or a basic analysis of retweets or 'likes' to develop an in-depth understanding of social consumer behavior.
===Customer Analytics===
Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management.
===Predictive Analytics===
Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modeling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events.
===Conversion Analytics===
Conversion Analytics is the measurement of your customer’s journey that's defined by their interactions with your marketing efforts. This can include anything from paid campaigns, email marketing, to social media engagement.