Double Customers From Your Website
The answer is you need to double your conversion rate.
What’s your conversion rate at the moment 0.25% or 0.5%? Don’t know? Conversion rate is the percentage of website visitors that perform a desired action. In a case of an E-Commerce website that is a purchase, in a case of a traditional business it can be downloading a whitepaper or filling out a contact form. A 1% conversion rate means that out of every 100 visitors that your website gets, 99 walk away empty-handed. Look at it in another way: to double your overall conversion rate, you just need to increase the conversion rate in 4 other parts of your website by 25%. If we take an E-Commerce website as an example to double your conversion rate you would only need to:
- Increase the number of people reacting to your ad by 25%
- Increase the number of people getting past the landing page by 25%
- Increase the number of people that add a product to a shopping cart by 25%
- Increase the number of people that make a purchase by 25%
To make these improvements can be very simple to. To increase your landing page conversion rate by 25%, you would just have to make a 2.5% improvement to ten of the following things:
- your headline
- your introductory text
- your guarantee
- your pictures
- your usability
- your navigation
- your products
- your pricing
- your offers
- your testimonials
- your “call to action”
- your site layout
- your returns policy,
- etc…
Start testing today! To start optimizing your most important web pages you need to include the following things in your online marketing arsenal:
- Usability testing – allows making your website’s content more accessible and more friendly to your audience.
- A/B testing – allows you to test two landing pages against each other in real-time. For example, you can test two different headlines and choose the most effective. A/B testing benefits: rapid, simple to design, inexpensive to produce, easy to understand results.
- Multivariate testing – allows you to run the equivalent of thousands of split tests simultaneously. In one test, you’ll be able to test many variables at the same time, and learn what changes have the most impact.
