It’s great to have high traffic for your personal brand’s website. How to get these visitors to convert into sales is the next challenge businesses face.
The design and execution of elements are crucial to staying up to date with the latest technology and relevant content. This means your brand should be performing both A/B testing and multivariate testing to find out what’s working and what’s not. Here are the key differences between each test and how they can improve your sales:
- Honing in on your elements – Multivariate testing allows your brand to take a closer look at specific things like your image header, website icons, ect. As you create different versions of the designs, you can then view the different variations of each. As you better understand your website you can then perform a split test of the volume of your traffic and conversions.
- A brand new landing page – If you decide to completely redesign your website then A/B testing will help you achieve better results as you see exactly which area of your page has the most impact on your sales goals. This type of testing provides a a metric that tells you which sections influence your conversion rates and the ones that aren’t.
- Focus on small parts – In order to make your time more efficient choose to test certain parts of your website at a time, especially as you incorporate multivariate testing. For instance, measure results on the headline and header image rather than the entire text of a landing page.
- Hire a website developer or use tools – The process of testing will go a lot faster with the most accurate results as you choose to use the right tools or developer for the job. This is the best way to find errors, discover the impact of page elements on conversions, and find the best solutions for fixes.
A quality website design that is up to date should be well-optimized, engaging and easy to access on a computer or smart device. With some extra time and even a investment your personal brand can gain more loyal subscribers with better conversions rates. Be sure to especially pay attention to the results, recommendations, and how many elements you are measuring at a time in order to have the most complete and accurate data.
