![]() As you find your sample sweet spot, stick to testing on 100-500 contacts each time. The goal is to find the lowest amount of contacts you can comfortably test on, while gathering good data. If you test on too few contacts, chances are you will not see a clear-cut winner. Since marketers are not mathematicians, test on at least 100 contacts. Nothing sounds scarier than sending out a test to a large group of contacts that completely flops. In the test below, we tested two subject lines against each other. Keep everything the same except for the one variant you want to test. ![]() Some examples of high impact variants include sender, subject line, HTML vs plain text.Ĭreate both test email templates. Save the lower priority items for further down the road when you are fine-tuning the details. It is best practice to run higher impact tests in the beginning of your testing. Reason being? If you use the same A/B test to test Subject Line and Sender, you may not be able to pinpoint the success or failure of either variant. In order to avoid skewed results, stick with testing one variant at a time. Here are the 5 easy steps to implement a successful experiment: 1. Testing emails is an easy and simple way to start driving more conversions from your email marketing. Testing on different parts of your emails and campaigns can be critical to your overall conversion process.įor example, subject lines and day/time of your email send will impact whether your email gets opened, while your call to action will determine whether or not someone chooses to convert. Timing Between Communications (Once a Week vs. ![]() In simple terms, A/B testing (or split testing) is when you take 2 variations and test them against each other to identify which performs best. Let’s break down the basics: What is AB Testing? ![]() Small tweaks over time can drive big results, and help keep your contacts engaged during every stage of the buying process. Everything from your subject line to your call to action will impact whether or not the contact chooses to engage with you. Testing is one of the most important things you will do in email marketing. Many people even shy away from A/B testing because they believe once they understand the basics, they won’t have the time or resources to run tests. "-Xint" option allows you to run test in interpreted-only mode - disabling the JIT compiler.When you first hear AB testing, it can easily take you back to college statistics, where you begin to envision standard deviation graphs and complex test conditions."-Xms" and "-Xmx" options allow you to allocate a large memory to avoid GC."-XX:+PrintGC" option allows you to watch the GC log."-XX:+PrintCompilation" option allows you to watch the JIT compilation log.A benchmark program can be designed in 2 parts: a benchmark runner and a test method.Micro benchmark is a benchmark designed to measure the performance of a very small and."-Xint" - Running in Interpreted-Only Mode "-Xms" and "-Xmx" - Avoiding GC with Large Memory Sizeīenchmark Affected by Other Running Applications "-XX:+PrintGC" - Watching GC (Garbage Collection) Logs "-XX:+PrintCompilation" - Watching JIT Compilation Logs Topics include micro benchmark guidelines controlling and watching JIT compilation controlling and watching GC.īenchmarkRunner.java - Benchmark Runner Program This chapter provides tutorial notes and example codes on micro benchmark testing. JVM Tutorials - Herong's Tutorial Examples
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