Which call-to-action will convert the most users?
When it comes to converting visitors into customers, it’s common knowledge that an effective CTA (call-to-action) will convert more users. Almost every website has a CTA but a lot of time designers create a simple CTA and fail to spend time engaging with users to understand what language, placement, and design of the CTA will help to convert more users.
This can be a missed opportunity, as the placement, text, and color of the call-to-action are key factors in determining how many visitors will take the next step and become customers. These CTAs are worth optimizing but the trouble is it can be hard to know what version is most effective before you launch the website. In a post launch environment you can’t change the text, design, or placement as easily as you can before launch.
With a simple CTA test with Poll the People, you can test CTA variations for all of the factors that contribute to getting more visitors to click the call to action. These tests can be created, launched, and results can be analyzed in under an hour, for less than a traditional live test. In a controlled pre-live environment you can optimize your resources confidently, validate design decisions, and find new ways to increase conversion rates.
Remember to test only two variations at a time in a comparative user test, this ensures that participants are making one snap decision and are unique across all tests. To effectively test your CTA just upload your variations to the template, ask participants a question that helps you understand what CTA is better and why it is more likely to engage users, and choose the audience you want to test with. Once you have the test created, launch and watch your feedback come in within one hour.
When you are analyzing your test results there is no magic number of responses you should aim for. Optimization is the goal here, so test your CTAs against each other and go with the option that is most likely to convert users. We provide you with the numbers behind the test as well as written feedback from each participant, the qualitative data will show you why one version works better, allowing you to understand user preferences and create better content for your audience.