Is your email marketing working? What areas of your program need to be improved to reach your performance goals? Here are 8 email campaign metrics that are key to measuring your email-marketing success.
One of the biggest challenges in designing an HTML email is ensuring that it displays consistently for all users, across all email clients. That’s where using HTML tables for coding emails comes in handy. Here are some tips for how to correct common coding issues encountered with HTML tables, as well as other design best practices for HTML emails.
Bounced emails are frustrating! When your emails bounce, it means that a portion of your prospects and customers may never get the email messages that you carefully crafted for them and that they wanted to see. Plus, high bounce rates can hurt your email deliverability, which is why you should closely monitor and proactively manage email bounces. Here, we discuss the important differences between soft and hard bounces, some typical bounce rates to let you see how yours compare, and steps that you can take to prevent your emails from bouncing.
“Experience the Passion and be Full of Desire”
This was the subject line of an email that was sent to a customer of The Melting Pot who had signed up to receive promotional emails from the restaurant. Although it may have been designed to pique curiosity in recipients, the use of the sexually- suggestive subject line seems a bit odd for this restaurant, even for a Valentine’s Day promotion.
Communicating with customers, promoting products, and effectively guiding prospects through the sales cycle—these goals are the same for both business-to-business (B2B) and business-to-consumer (B2C) email campaigns. But here are 4 key differences between B2B and B2C campaigns that marketers need to keep in mind to help maximize their email-marketing return on investment (ROI).
Predictive Marketing: What’s the Hype & How Can Your Business Leverage It to Grow Your Email-Marketing ROI?
You’ve likely heard all the buzzwords: machine learning, pattern recognition, data mining, artificial intelligence. And while these terms aren’t interchangeable, they share the general concept and algorithms that can be used to build the basics of what we call predictive marketing.