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Email Testing Inspiration: Tips and a Recent Example

by Justin Premick on April 6th, 2009

Sure, you’ve heard about the value of testing in your email marketing campaigns.

You’re familiar with some of the big gains that tests can bring you. Perhaps you’ve even looked over some of the examples of things you can split test and considered doing them.

But there’s a pretty good chance you’re not testing as much as you could, or even as much as you might like to. Most marketers aren’t.

Getting in the habit of testing requires us to think not only about what we want to test in a broad sense, but also what tests to conduct (and how to conduct them) so that the results are useful to us.

Recently, I found a couple articles that I thought would help you get more out of your existing email testing - or simply start conducting more tests to optimize your campaigns.

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Increase

Increase Profit 2300% and Other Key Takeaways From MarketingSherpa’s Email Summit

by Justin Premick on March 24th, 2009

As a reader of this blog, you might occasionally wonder, “where is email marketing headed?”

Me too. So to see what others were doing with their email campaigns, Jay Moore (you’ve probably heard him on one of our free live webinars recently) and I recently headed to Miami for MarketingSherpa’s 2009 Email Summit.

After several long days jam-packed with case studies, presentations and chats about email marketing, we walked away with our brains full.

Here are my biggest takeaways from the Summit:

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{!firstname}, Think Before You Personalize

by Justin Premick on February 11th, 2009

If you’ve been subscribing to email marketing campaigns for any length of time, you’ve probably experienced personalization several times.

How much of it impresses you? How much of it makes the email feel “personal?”

Yeah… me too.

Lately, I’m wondering whether as email marketers, we’ve allowed ourselves to get lazy with personalization, and whether we can do better.

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Popup Icon

Get More Subscribers With These 3 Popup Form Split Tests

by Justin Premick on October 9th, 2008

Do you use popup forms to collect subscribers faster and kick-start your email marketing campaign?

While they’re not always the right solution for all sites, some businesses have found they can increase opt-in rates significantly by adding popup forms.

Of course, getting the best results from your popup (just like any other aspect of your campaign) requires testing.

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7 Split Tests You Can Implement Today

by Justin Premick on June 10th, 2008

How many times have you heard “you should test to see what works best for you” or something to that effect? Probably too many to count, right?

The reason you hear it so often is because when it comes to email marketing (as well as any other marketing channel), testing separates the pros from the Joes.

It’s one thing to think we know what works best, but when we apply a little bit of scientific method to our marketing, we not only find out for sure, we learn more about our visitors and subscribers — and that helps us predict more accurately what will work in the future.

The challenge for a lot of people (including us at AWeber) is deciding what to test. There are simply so many small changes we can make to our forms, messages and other parts of our campaigns, that it’s easy to get stuck on deciding where to start.

So, to help you get started with split testing (or to get back into it if you’ve gotten complacent and stopped testing regularly), here are seven split tests you can run on your website to get and retain more subscribers, lower spam complaints, and increase response.

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Do Buttons Get Clicked More Than Text Links?

by Justin Premick on March 25th, 2008

Many of our readers have already signed up to the live seminar on split testing that we announced last week.

But even if you can’t make it, you’re probably interested in learning more about split testing now, right?

Fortunately, we happen to have a case study on hand that shows just the sort of information you can learn about your email marketing campaigns by conducting split tests.

Today, let’s look at a split test that we ran on our own blog newsletter to get more of you to come to the site and read the latest posts.

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Live Seminar: Split Testing Emails and Web Forms

by Marc Kline on March 13th, 2008

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Sometimes when we work on our email newsletters, we’re distracted from actually writing content by the endless possibilities our imaginations present.

We wonder things like if one call to action might promote more clicks than another, or if a message with subject A might get more opens than one with subject B.

Well, what they say is true: you’ll never know until you try. And yet, split testing - the best way to experiment and obtain information that helps us to optimize our campaigns - is an underutilized tool in email marketing, especially by those relatively new to email marketing.

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AWeber’s Sean Cohen Interviewed at Recognized Expert

by Justin Premick on November 30th, 2007

Setting up your first email marketing campaign and not sure what to do? Need a refresher course on how to put together a simple yet effective email marketing program to convert your website traffic into loyal customers?

Our own Sean Cohen turned up on the Recognized Expert Marketing Show last week with plenty of great advice for budding — and established — businesses.

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Test Tube

Test. Retest. Then Do It Again.

by Justin Premick on September 19th, 2007

Interesting conversation going on over at Copyblogger where Brian Clark is talking about calls to action.

He points to a MarketingSherpa test that suggests that using the word “click” — as in “click here” or “click to continue” — can boost response.

You can make a lot of arguments for or against using that specific wording (and people appear to be doing so in the comments).

But what stood out to me as the real lesson is…

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Split Testing: Interpreting An Example

by Justin Premick on November 8th, 2006

We talked about split testing a while back. However, I didn’t have a sample split test to refer you to at the time.

So, I went back and found one. Let’s take a look at a split test, what was varied, and what we might infer from our results.

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