When it comes to email marketing, what are your priorities for 2016? Are they consistent with what other marketers are focusing on this year? Econsultancy’s recently published “Email Marketing Industry Census 2016” can help answer that question. Here are highlights from that report.
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.
The use of predictive analytics in email marketing isn’t new. But it’s a hot topic today — especially for e-commerce businesses — because predictive marketing is proving to be a great way to sell smarter and sell more through the email channel. This article is the first in a series of three NewsLever features that will discuss how to effectively and profitably apply predictive analytics to your email-marketing program.
This abandoned-cart email series was sent to a dog owner who had clicked on a Facebook ad and started the process of purchasing a BarkBox subscription.
Here are some of the hottest technologies and solution providers that caught our attention at the Internet Retailer Conference Exhibition (IRCE) last month in Chicago. They give insight into the future of email for the e-commerce market, especially the application of predictive analytics.
♬ I’ve been waiting… for an email like you ♬
That’s the subject line of a reengagement email sent to someone who had opted in to receive emails from Return Path, but hadn’t opened an email from the company in a while. The bookend emoji music notes, along with the ellipsis in the middle of the subject line, succeed at making this email stand out in the inbox.