Deciding whether to Test
- 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
- Presence, number, and position of images
- Specific Proposals
Deciding on Your Test Groups
- 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.
Define Test Success
A / B Testing Equipment
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 on 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 percent and another 15 percent in a variation, then you would expect to see that as a result of the second variation 50 percent more conversions will occur.
- 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