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When applied to Big Data, machine learning can be used to predict the most effective message to serve to the right person at the right time. Here's a deeper look at how machine learning can help you become a better marketer.
- Five Challenges Facing Marketers Today
Marketers have more data than ever at their fingertips, but that doesn't mean their jobs are any easier. Here are some of marketers' biggest challenges today. more - The No. 1 Mistake That Even Some Brilliant Social Media Marketers Make
Your social media team has put all its energy into designing a program and getting it online. But right before launching it, someone realizes that the team has committed this terrible (and common) mistake. more - Three Examples of Uberization Done Right
Uberization helps industries circumvent unnecessary bureaucracy and create smoother experiences for customers. The following industries have been uberized and benefited from it. Has yours? more - Beyond Impressions and Reach: Connecting Campaigns to Conversions
Marketers need to focus beyond reach numbers and craft digital marketing and social media campaigns that deliver results. Here are some strategies to help you get started. more - Adopting Google+ Is Easier Than You Think--and Worth It!
Reconsider Google+ and what it can do for you. This interview digs into why MarketingProfs adopted Google+, what the benefits of adoption have been, and how you, too, can use G+ to your advantage. more - Why Moving From Data-Driven Marketing to Insight-Driven Marketing Makes Sense
Focusing on data-driven marketing? Here's why it needs to evolve into insight-driven marketing. more - What Might Customer Service Look Like in 25 Years?
Advanced search technology, along with wearable devices, automatic voice interactions, and predictive support technology will mold the future of customer service. Here's what the future might look like. more
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