Are you hoping to become a social media marketing superhero? The importance of social media as an engagement channel and rich resource for customer insights is well established. Brands have been on a continued quest to harness the underlying value contained within the considerable volumes and varieties of social media and other digital data sources. Increasingly, they are turning to predictive analytics to uncover customer behaviors and sentiment, identify emerging trends, and ultimately predict consumer intent and future behavior. In the latest edition of EngageNow, our feature article, “Becoming A Social Media Marketing Superhero” examines the growing importance of social media and the increasing interest in predictive analytics as a means of harnessing social media’s considerable potential.
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Speedeon Data Blog
Just like there are two-sides to a penny, there are two fundamental ways of considering marketing, sales and business performance overall. There is the topline and the bottom-line. Like the two sides of a coin, revenue and costs are intrinsically related to each other through the concepts of profit and return-on-investment. Although business activities most often tend to be viewed from a binary perspective, i.e., revenue-generating v. cost-generating endeavors, many activities provide simultaneous benefits. Among their growing usage in today’s data-driven business environments, many applications of predictive analytics provide simultaneous revenue generating (a penny earned) and cost saving (a penny saved) benefits. Consider the following:
The Internet of Things is rapidly asserting itself as the next transformative technological advancement in a progressively data-driven and customer-centric marketplace, increasing the interconnectivity between consumers and businesses. In this rapidly changing landscape, companies cannot afford to sit on the sidelines of IoT development for long. In the latest edition of EngageNow, our feature article, “The Internet of Things In A New Age of Customer Experience”, examines how the IoT will enable companies to better understand their customers, predict and anticipate their behaviors, and engage them in highly contextualized, real-time, one-to-one interactions.