Google Website Optimizer is a tool for generating experiments for conversion rate testing. You can set up experiments for various sections on your pages and then Google randomly works for the different versions of your pages to existent guest who approach to your website.
There are some advantages of this method of testing over alternative sites that experiment your pages with individuals who may or may not plunge into your target market.
Types of Testing
There are two types of testing that are as follows:
1. Multivariate Testing
2. A/B Testing
Multivariate Testing: With Multivariate Testing we can experiment multiple elements or sections of our page simultaneously. Thus this is the best way if you want to test multiple headlines, images, or other sections. This also save time rather than doing them one-at-a-time in A/B Testing.
A/B Testing: In A/B Testing, you can test two versions of the same page. This is a great option if you want to test two completely different designs or layouts of your website.
What Do I Test
• There are a lot of possible things you can test:
• Size and position of logo.
• Size, position and color of the headline
• Overall color scheme of page
• Headlines and call to action
• The body copies i.e. the font size and the font used
• Layout of the page
• Images used and how many to use(Size, position and how to use images especially images of products)
• Calls to actions
• Related products (how to show, where to show and how to show them)
• Length and the field label of any forms on page
How to start Testing
Once you decided which pages to test, and possibly what elements, it’s time to invent the accessible variables.
1. Multivariate Testing Before you starts Multivariate Testing you have to complete the following steps that are as following:
• Choose the page which you would like to test: The page could be your homepage, services page and product detail page.
• Choose your page sections: Marketing team will decide which page section of your page should be test. For example, headlines, buttons, images, testimonials, promotional copy and more.
• Review desired page section with technical team: Before implementing testing on your site your technical team needs to agree on which sections to test.
2. A/B Testing Before you starts A/B Testing make sure that you have completed the following steps that are as following:
• Choose the page you would like to test: The page could be your homepage, services page and product detail page.
• Create alternative versions of your page: Create and publish different versions of your test page at unique URL so that Website Optimizer can randomly display the different versions to the users. These URLs can be bookmarked by the user so that you can keep these URLs live.
• Identify your conversion Page: This is existing page where the user will reach after the successful conversions. This may be display after user complete purchase, signups for newsletter or fills a contact letter.
Tips for Making the Most of Website Optimizer
• Don’t just focus on completed sales and signups. Focus on visitors from one page of conversion to next page.
• Don’t overlook the site test wider too. Try testing header, navigation, and search feature to make noticeable things gains to conversion rates.
• Consider segmenting your visitors, means different test for different types of visitors. You can do this based on things like Traffic source, country and location of the user from where he is coming from.
• Try what competitors are doing. If anyone is using a new layout or design, so why not to try that one and see it actually works or not!
• Run simultaneous test that can save your time, which in result means you can get your page optimized easily and running for all your visitors much faster.
• Make sure your goals clear before you start testing. This goes under just your conversion rate. Clarify that what are your company’s long-term marketing and positioning goals?
• Test regularly: The regulation improves or declines. New products arrive. Test new ideas and improvements on a daily basis. And especially test out new experiments if you see a sudden drop or decline in your conversion rates.