AutoOptimize tests a variety of button experiments to see what works best for your website.
A/B testing, also known as split testing, compares two versions of a web page to see which one performs better. Button experiments are a type of A/B testing that focus on the buttons on a website. Many website owners need to pay more attention to the importance of button experimentation and conversion rate optimization.
Let’s discuss the button experiments that AutoOptimize performs:
This allows you to change the text in your buttons.
The text on your CTA buttons is supremely important. It lets people know what action they are going to take and how it will benefit them. Visitors to a website often "convert" as a result of clicking a button.
Therefore it is pretty important that visitors clearly understand what the text in a button means. Your visitors may interpret the button texting differently from what you intended, so it is important to test out what text works the best
Text can also encourage (or even discourage) a visitor to click on certain buttons. For example, for buttons that you would like your visitors to click on, having text that outlines the benefits (e.g "Get 50% Off") will make them more likely to convert. For buttons that you would not like your visitors to click on, having text that outlines the disadvantages (e.g "Lose 50% Discount") will discourage them from clicking.
This allows you to change the color of your buttons, as well as the text inside them.
The following settings are available:
Website visitors may subconsciously be more likely to click on buttons with certain colors rather than others.
You'll be surprised how big of an impact changing the colors of your buttons has. It's worth trying all the major color combinations on all your major buttons on the page to see how that changes the conversion rate
Certain button colors may not match a website's theme. However, they may still convert better.
If the button colors are dull, changing to a bright color will make it more noticeable and more likely to be clicked on.
This allows you to change the text in your CTA buttons to reflect a benefit to visitors rather than a long boring task that they will have to do.
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Imagine two simple buttons displayed on a page. One button tells you that it will “Save You Money”, while the other one asks you to “Sign Up”. The first one is more likely to be acted on and convert visitors.
The reason for this is that "Sign Up" on its own has no inherent value. Instead, a sign-up process takes effort and is often associated with lengthy forms of some sort.
The hypothesis set here is that buttons that reinforce a benefit might lead to higher conversions.
Usually, by including a benefit in your button text, you are also making a promise to your visitors. Make sure not to overlook this because in case you are not able to fulfill your promise (e.g., Skyrocket my business revenue by 4x), your visitors may lose trust or may even think your "benefit" is too good to be true.
Add "it's free" to the signup/order buttons. This experiment adds these words beside all your sign-up buttons. You can customize this text if your page is not in English.
These two magic words, 'it's free,' usually have a big impact on conversions.
This is important because visitors' first assumption of any product/service online is that they will have to take out their credit card and pay for it.
The purpose of this experiment is to remind visitors early on that they will not have to pay anything and can get started quickly in a few minutes.
This experiment adds a number under a Call To Action (CTA) button indicating how many other people have already clicked it in order to: Sign Up, Order, etc. This number increases based on your average growth.
Social proof is a tremendous motivator. The longer the line at a restaurant, the more you want to eat there. This experiment allows you to specify how many signups you've received thus far to encourage people to take action
This also shows your visitors that there is demand for the product/service that you are offering.
Let’s take this scenario: Seller A is selling identical kitchen gadgets as Seller B. However, Seller A has 841 reviews, but Seller B only has 127 reviews. Most people will automatically assume that the product with more reviews is more popular and most likely purchase from Seller A.
The idea behind this scenario is that most people trust when they see others making the same choice. So when a visitor sees that many people have signed up for their mailing list, they will want to do so as well.
Ensure that the number under your CTA button is reasonably high. For example, showing that only six people have subscribed to your Email List may have a negative impact. In this case, this experiment may not be recommended.
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