When it comes to driving the best performance results and revenue from the email channel, many marketers are finding that leveraging predictive analytics is key. But with so many predictive tools from which to choose, how can you know which one is best for your business? Here we highlight the benefits of 10 of our favorite predictive analytics platforms for 2018 in this third article of a 3-part predictive marketing series.
A better understanding of your customers’ interests and habits, smarter segmentation, and a greater return on marketing spend-that’s what predictive analytics can do for your email-marketing program. How exactly does predictive email-marketing work? Find out the answer to that question in this second article of a 3-part series on predictive marketing.
Predictive marketing is one of the top email-marketing trends in 2018. That’s because it paves the way for marketers to make more data-driven decisions, which, in turn, gives a big lift to email-marketing performance, sales, and revenue. Find out what you need to know about predictive marketing-and how to effectively implement it into your email program-beginning with this first article in a 3-part series.
How do you get more prospects and customers to open and click your emails? Make sure that your emails are relevant, personal, and expected (i.e., recipients have actually asked to receive them). Check out a ton of ideas for leveraging dynamic content to optimize the relevant and personal aspects of your email marketing.
Predictive analytics is quickly becoming a must-have technology for today’s e-commerce retailers. Are you ready to harness the power of predictive analytics to drive more conversions and dramatically increase revenue from your email channel? Here are nine top predictive platforms for achieving email-marketing success.
How can you effectively use predictive analytics to engage your customers and increase revenue? Understanding your predictive analytics platform — how to use it and what it’s best used for — is key. To get you started, here are three predictive models you should know about and some examples of how they can be used to improve your email performance results.