Preheaders – The Key to Email Opens


No matter how creative or how wonderful your email content may be it is completely useless unless it gets opened. So the big question remains, how do you get consumers to open your emails? Historically email marketers have relied on crafting enticing subject lines to get opens. While the subject line is great and all, it really only accounts for half of the equation in getting emails opened. You might ask then, what is this missing half of the equation? Well the email’s preheader of course!

What is the preheader? Read More

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5 Tips and Tricks For Creating Wicked Awesome Subject Lines

Email has come a long way in the past few years. With industry buzz words like “Responsive Design”, “Big Data” and “Going Mobile”, it’s easy to get caught up in the new trends and technologies that will “take your email program to the next level”. While this may be true, you can’t forget about the foundational principles that this new technology will build upon. One of these foundational principles is email subject lines. In this blog, I will share some tips and tricks to make sure you have wicked awesome subject lines.

First, make sure your subject line is relevant to your message. You may think this sounds obvious, but I often see emails come through my inbox with marketers trying a clever subject line that has nothing to do with the actual message. While this may increase your open rates, your openers will feel misled and most likely will not read your message. Read More

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Data, Assumptions, & Decisions (part 2)

Section: Analytics

My statistics professors were fond of saying: garbage in, garbage out. There are a lot of areas in life this applies: health, speech, statistics, etc. We all know that when we eat a lot of food that is not healthy, our bodies start to reflect an unhealthy state. When we hear a lot of swearing or crude language, it comes into our minds much more quickly. When we have data that does not meet the assumptions a particular type of analysis requires, we have outcomes that may or may not be accurate—but either way it’s a risk to trust them.


Another potential pitfall is miscommunication of assumptions. If, as an analyst, my assumptions are different from the business owner who will be making decisions off of the data, this can result in bad decisions. Read More

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