A/B testing is based on randomized experimentation testing used by several digital marketers to compare and assess the performance of websites. But it can help in optimizing lead generation. Here are the five ways to optimize lead generation using A/B testing.
Test out ideas that are similar
A/B split testing is a method generally used to test out different ideas for your landing page. The goal is to see which option would seem to be the more prolific and sensible end result to show to users.
To begin with, try to test out only one A/B split test during a campaign. This is important to keep in mind to get the best, clearest result.
After all, you are trying to understand if option A or B is more effective for your landing page. If you run more than one A/B split test at a time, you may get mixed results.
When that happens, you won’t know what has caused an increase or decrease in your landing page’s conversion rate, right?
With that being said, when you conduct an A/B split test, try to test out ideas that are grouped in a similar sense.
Test out different offers
Although your A/B split test needs to be in a similar category for it to be a clear success, when you test out A or B options, they need to offer different vibes.
Thus you could have no option but to display both options and let your readers pick what they really like.
The two alternatives could be different in that one is a single step opt in and the other is two step registration.
Per an article on the Mailerlite website, the reader would do the work of picking which of the available options resonates with their aspiration.
Testing out different words, for example, of different numbers of steps towards signing up, is the key to understanding which idea would work best for you. What kind of vibe do you want to incite in your user’s mind?
And then see which vibe or sentence generates more leads or subscriptions for you. On another note, if you have an offering, try out different offerings or promotions as well.
When offering different rewards to different groups of people, you can see whether option A or B works better for a certain age, gender or occupation group.
In the end, you may be able to choose only one effective offer for everyone or both offers for specific user groups.
Test out call to action wording
Call to action buttons or links are the most important aspect of a landing page. If you are a creative designer who has come up with multiple ideas, you may find it really hard to decide which CTA wording you should go with.
Well, rather than making artistic guesses, you could conduct an A/B split test instead to help you decide which wording for your CTA generates more leads or subscriptions.
Of course, if you have more data on your hand, you can try to show different versions of your CTA to different groups of people. For example, a CTA using a Gen Z language may not appeal that much to their parent’s generation.
But, with an A/B split test, you can definitely see for sure just how effective or ineffective a CTA wording could be. At the end of the day, you can opt to show specific CTA to specific groups of people.
Get definitive with your sample size and know your goals
Before you even get started with an A/B split test, you should gather enough data to determine the size of your test. How many people actually do you want to get involved in your testing?
Also, get clear about how important the test result would be for your particular campaign. Therefore, in order to gather the correct data for your successful A/B split test, and especially for your campaign, you need to get clear on your goals.
Just because it is common to conduct an A/B split test, doesn’t mean you can do it just for the sake of doing it. It is important to know why you are conducting the test, to begin with, and what you wish to achieve with its results.
You need to consider several factors here. You have to balance time and resources involved.
Still, the size should be adequate to get real statistical deviations. Or else, according to an article on the FigPii website, you are likely to have errors.
These may arise due to reduced statistical powers, thus simply wasting the time and resources in this test.
With that being said, after you’re clear about that you can gather pre-emptive data that should be relevant to your A/B split test.
Use a dedicated tool or software for conducting a reliable A/B split test
Most people are familiar with Google Analytics. This is a nifty tool that is easy to use for most people and the results are clear enough.
Google Analytics is user-friendly in that it also allows users to test up to 10 different samples at a single given time. The sample that is generated is randomised for a fuller insight into your internet visitors.
However, if you could get your hand on a dedicated tool or software, you should take advantage of a more powerful tool.
Having a dedicated tool or software for an A/B split test can get you more knowledge and insight into various aspects of a successful landing page campaign.
Many A/B testing tools have unique offerings while also are biased in terms of what needs testing. So you must search and test thoroughly for the one that suits your specific testing requirements.
Per an article on Upwork website, an ideal A/B software should measure the right metrics, confirm data accuracy, and help prevent mid-test changes.
In one place, you could optimise your A/B split tests, create effective calls to action, as well as compare and manage your test results with fewer hassles.
