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Hong Kong Web Analytics Wednesday #10

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Hong Kong Web Analytics

As many people have been asking how to optimise and conduct effective testing, we will be covering site optimisation this month. We will be cover the best practices as well as tools that can be use for A/B testing and Multivariate Testing

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23rd February, 2011 (19:00 – 22:00) Support by: Sponsor by: Partnership with:
Agenda 19:00 – 19:30 Reception Open 19:30 – 19:45 Update on Web Analytics Wednesday 19:45 – 20:45 Site Optimisation Methodology 20:45 – 21:15 Q&A 21:15 – 22:00 Networking
Hong Kong Web Analytics Wednesday TWITTER HASH TAG #HKWAW
Site Optimisation Methodology
A/B Testing What is A/B Testing? ,[object Object]
Understand your visitor behavior
Increase conversion rateWhy it not widely adopt? ,[object Object]
Lack of user awareness as it commonly misunderstand
Not completely understand how it benefit to business,[object Object]
A/B Testing A/B testing on the Web is similar You have two designs of a website: ,[object Object]
A is the existing design
B is the new design. You divide your website traffic between the two versions and measure their performance using metrics that you define as your business objective (conversion rate, sales, bounce rate, etc.)
A/B Testing – Where to Start It depends on your goal. You must set a clear objective on what to test. For example, if your goal is to increase the number of sign-ups, then you might test the following: ,[object Object]
Types of fields in the form
Display of privacy policyThe goal of A/B testing in this case is to figure out what prevents visitors from signing up. ,[object Object]
Are visitors concerned about privacy?
Does the website do a bad job of convincing visitors to sign up? ,[object Object]
Headline or product description

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Hong Kong Web Analytics Wednesday #10

  翻译：