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Website analytics involves a series of processes developed for tracking visitor behavior on your website. Because of website analytics tools, you can turn your website into a map. This map will show you the most popular regions of your website, but it can also point you to areas that are completely neglected and rarely visited. This branch of CRM can also enable you to follow the click-path of your visitors. You can track their journey from the first page they landed on, to the moment when they complete their purchase or abandon their cart. The great thing about these tools is that they can showcase your data not in an extensive list of datasheets that are hard to interpret and a difficult read, but in the form of charts, graphs, and tables. Find more information about Effective Analytics Tools. Visit: https://bit.ly/2G5DXE8

When it comes to website analytics tools, many marketers immediately think of Google Analytics-and only Google Analytics. While GA is a robust analytics platform, it's not the only analytics platform on the market, and there are many other tools that complement and expand what GA can do. Find out more information on eCommerce analytics tools. Visit: https://bit.ly/2JI72pU

Ecommerce tracking allows you to measure the number of transactions and revenue that your website generates. On a typical ecommerce site, once a user clicks the "purchase" button in the browser, the user's purchase information is sent to the web server, which carries out the transaction. If successful, the server redirects the user to a "Thank You" or receipt page with transaction details and a receipt of the purchase. You can use the analytics.js library to send the ecommerce data from the "Thank You" page to Google Analytics. Find out the Ecommerce Tracking Tools Visit: https://bit.ly/2XVRxE9

The growing demand and importance of data analytics in the market have generated many openings worldwide. It becomes slightly tough to shortlist the top data analytics tools as the open source tools are more popular, user-friendly and performance oriented than the paid version. There are many open source tools which doesn't require much/any coding and manages to deliver better results than paid versions e.g. - R programming in data mining and Tableau public, Python in data visualization. Here are some data analytics tools, both open source and paid version, based on their popularity, learning and performance. Find Popular Analytics Tools for eCommerce store. Visit: https://bit.ly/2Y6tOkQ