As a digital marketer, your success in this niche depends on a lot of factors which include your tools, and resources. There are several essential digital marketing tools available to guarantee efficiency and business success. One of such vital tools is a web analytics tool. Web analytics is described as the measurement, evaluation, collection, and reporting of web data to foster the understanding and optimization of a web page. Google analytics and Adobe analytics are the most popular web analytics tools on the market.
When creating content for your marketing strategy, you have to be smart with how you reach your audience to get the best results. Google Analytics is a powerful data tool that you or your marketing analyst can use to take your marketing plan to the next level. In this article, we discuss eight secret Google Analytics reveals that help improve your marketing strategy.
Using the information that Facebook Insights provides, you can hone in on what approaches work best to increase traffic to your website and ultimately make that conversion you are looking for. In this article, we are going to discuss the various functions of Facebook Insights and how we can use this information to form a proven strategy for driving organic traffic to your website.
From creating digital sales funnels to identifying customer retention tactics, Google Analytics helps you understand your website’s visitor behavior quickly and effectively. Understanding visitor behavior is key to launching new products, streamlining customer interactions, and optimizing your website for success.
In this article we will discuss what to consider when hiring a data engineer, a data analyst, a business intelligence developer, and a data scientist. Keep in mind that for a successful data driven organization emphasis must be placed on developing capable teams rather than individuals. A variety of background and experiences bring improved efficiency to the team.
Modern business management is made up of three pillars. These pillars include data, analytics, and business operations. Businesses generate large volumes of data and often struggle to get value from these data assets. Once data is understood it is easier to develop projections, improve operations, and reduce waste.