Creating Email Marketing Strategies That Convert: A Guide to A / B Testing

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Creating Email Marketing Strategies That Convert: A Guide To A / B Testing
Creating Email Marketing Strategies That Convert: A Guide to A / B Testing. Newspapers and email campaigns are a great way to deal with potential and existing customers and improve brand loyalty. This is because, for email campaigns, you are targeting a type of pre-qualified basis: those people who are interested in getting your information. It seems that most of these people have already done business with you, and as we know, keeping older customers is easier and cheaper than getting new customers. This is the reason that if you want to try a new layout of techniques on your email marketing campaigns, it is very important to conduct an A / B test. When done correctly, email marketing can significantly improve conversion rates, which will significantly increase your lower line against other marketing efforts of similar costs. Read on to learn how to conduct a successful email campaign A / B test.
5 Essential Elements of Email Marketing Strategies:

Deciding whether to Test

When installing A / B testing protocol, the first step is to decide on the parameters to test. You may want to test two or more things simultaneously to save time, but the best test procedures are those that measure an attribute at a time. For example,
you might want to test the following:
      • Call verb phrase
      • Email title/subject lines
      • Whether to include testimonials or not
      • Message layout – a number of columns, an appointment of different elements etc.
      • Email greeting and personalization
      • Email Headlines
      • Physical texts
      • Closings
      • Presence, number and position of images
      • Specific Proposals
Each of the features listed above has some effect on the conversion process in different phases. For example, call to action will directly affect the number of people who will click on your landing page or buy your product or service.
The email title or subject line will affect the number of people who will actually open your email to start.
When you are deciding which features to be tested, keep these differences in mind. If you are not getting people to open your email, then you would like to start with the subject line optimization.
Start with more important aspects (the biggest impact on conversion) for working in your important way. For example, your call on action phrases and headlines has more impact on conversion than images or body text.

Deciding on Your Test Groups

In many cases, you may want to test your entire customer list. This will give you another accurate picture of how to respond to any new email campaign aspects. However, in some cases, it may not be wise to test through the entire list, for example:
    • When you have a large customer list and A / B testing service you are using the fee based on the number of test addresses. Here, you can go to the largest sample size by selecting randomly to get the most accurate results.
    • When you are trying something extreme If you get nervous when you would like to limit access to this strategy. However, depending on how large a list you have, how many people can give you the risk, do a few hundred or even thousands of tests.
    • Want to change the limited time offer and change as much as possible at that time. You can go to a small test sample first, and then send the winner’s proposal to the complete list.
In all cases, you get more accurate results by testing a larger sample.
Make sure that the division is done randomly because selecting the recipients from two different sources of hand-picking recipients can lead to your results. Your goal is to get insight into which version of A / B testing material works best.

Define Test Success

Before sending an email version, you should decide which parameter you are testing, and how you will assess the success or lack thereof. The first step is to analyze your past results. If you have been implementing the same email marketing strategy for a long time, then you have a large data pool to look at. If you have a historical conversion rate of 10 percents, then your goal can increase it to 15 percents for starters.
Of course, your goal for initial A / B testing may be to get more customers to open your email. Here, you should look at your previous open rates, and then determine the level of improvement you want to see.
If the first set of A / B tests does not give you that number, then try two other variables and run another test.

A / B Testing Equipment

Most of the email marketing management software comes with A / B testing, such as Active Campaign, Tool for Aber and Campaign Monitor. If your campaign management software does not include tools for A / B testing, you can set it manually. Just split your mailing list into two and then send each edition email to each group. You have to manually compare your results, but you can export the data in a spreadsheet to make it easy.

Analyze Your Results

After running your test using two email variations, you have to see the results. Some parameters of interest can be open rates, click through rates and conversion rates for those who come to the website. Your interest in open and click-through rates is obvious, but why would you like to track conversion rates in a website? Is this email not accessible to the campaign? Well, this is both true and unreal. In the ideal setting, after the customer came to your site, your email should not have any effect on conversion rates. However, if there is a click-through rate of 10 percents and another 15 percents in a variation, then you would expect to see that as a result of the second variation 50 percents more conversions will occur.

 

It does not always work in this way. This is why checking the third parameter is important, because it will prove that your email message is consistent with your website message. If your website does not reflect what’s on your email, then visitors can be compromised or confused and skipped.

Conclusion…

Now you have a complete guide to the exact A / B test. To keep in mind the following are some of the best practices:
• Test email variations to avoid interference from time-based factors.
• Test a large sample for more accurate results.
• Use empirical data instead of your assumption of testing
• Use the tools available to enable fast and easy testing.
• Do a quick and quick test in a campaign strategy to track the reaction
• Test a single variable at a time
 
Want to share any other email marketing strategies or would you like to share your campaign with Email Campaign A / B test?
 
Tell us in the comment section below.

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