What is multivariate test email marketing?
What is multivariate test email marketing?
Multivariate testing is a different method of email testing where marketers can test several different variables at once. While the purpose of A/B testing is to test individual pieces of the email, multivariate testing’s goal is to test multiple variables at once to find the best possible combination.
What is multivariate testing and how can it be used?
Multivariate testing is a technique for testing a hypothesis in which multiple variables are modified. The goal of multivariate testing is to determine which combination of variations performs the best out of all of the possible combinations. Websites and mobile apps are made of combinations of changeable elements.
How do you perform a multivariate test?
How to conduct a multivariate test
- Identify a problem.
- Formulate a hypothesis.
- Create variations.
- Determine your sample size.
- Test your tools.
- Start driving traffic.
- Analyze your results.
- Learn from your results.
What is multivariate testing and how does it differ from a B testing?
A/B tests and multivariate tests are similar in how they’re conducted. The main difference is that A/B tests look at the performance of just one variable at a time or the overall page whereas multivariate tests are testing multiple variables at once.
What is multivariate strategy?
A method in marketing research where multiple variables in a control scenario are simultaneously changed and the ensuing alternate strategies tested, in order to improve the effectiveness of the final marketing strategy.
What percentage of your recipients should receive your test combinations?
Review the number of recipients who will receive each combination in the Summary. We require that you send to at least 10\% of your recipients for any type of A/B test, so the slider will not go below 10\%.
What is a multivariate campaign?
Multivariate Campaigns allow you to test multiple variables to see how small changes to your campaign can have a big impact on your engagement. Unlike A/B Testing Campaigns, Multivariate Campaigns can compare more than one variable type to give information on how multiple variables interact with each other.