Welcome to our Travelpayouts 101 series, where we help you take off in the field of travel affiliate marketing. In this video, we’ll explain what A/B testing is and how it can help you optimize your affiliate campaigns for success.
Want to take the guesswork out of marketing and make data-driven decisions? A/B testing is the way to go. In this video, we’ll go over the basics of A/B testing and explain how it can help you earn more. Let’s dive in!
What is A/B testing? In a nutshell, it’s a marketing technique that involves comparing two versions of a digital asset in order to understand which one performs better.
Imagine you want to compare how CTA buttons of different colors perform on a landing page. To do this, you can show Button A to one group of visitors and Button B to another group of visitors. Then, analyze which button drives more clicks and determine the winner. What’s in this for you? First, tests like this allow you to learn what works best. Second, the insights gained allow you to streamline your campaigns, improve user experience, and boost conversions.
Which elements can you A/B test for better affiliate results? Let’s take a look at some examples.
There are tons of other things you might want to test. So, keep an open mind, find out where there is room for optimization in your campaigns, and decide what you want to test.
Whatever you choose to test, make sure you do it right. Here’s how:
The golden rule is to test one element at a time. Otherwise, you won’t be able to understand which element makes the difference.
Next set clear goals and identify the metrics you’ll track. Take a moment and consider whether you want to boost conversion rates, increase the number of clicks, or make visitors stay on your page longer.
You also need to give your tests enough time to produce representative data. How long is long enough? It all depends on your campaigns, goals, and amount of traffic. This is where test duration calculators from VWO and Unbounce come in handy.
To check if your A/B test is a statistically significant basis for making informed decisions, use a free statistical significance calculator.
Finally, use a powerful A/B testing tool, such as Google Optimize, Optimizely, VWO, Crazy Egg, or others.
Let’s wrap things up:
In the next tutorial, we’ll explain how cookies work in affiliate marketing. Now, go ahead and run A/B tests to eliminate guesswork and accelerate your earnings. Good luck and see you soon!