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A/B Testing: Examples & Tools

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Hong Kong Web Analytics Service

A/B Testing: Examples & Tools

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Founder of Diteck

Our Hong Kong digital analytics experts are experienced in popular A/B testing tools including Google Optimize, Adobe Target and Optimizely to help Hong Kong enterprises set up and run A/B tests in order to improve their user experience, increase engagement and the number of qualified leads.

A/B testing is an essential part in digital marketing. A/B testing is an experiment involving variant A (the original) and variant B, which is created by changing at least one element from the original to find out which version drives the most traffic and the best conversion rate, and thus maximize your ROI.

There are several types of A/B tests to optimize the design, user experience (UX) and settings, which can be conducted by changing the position or colour call-to-action (CTA) button, removing an unnecessary form field, or modifying advertising targeting options. A standard A/B test includes:

01. Recognize an issue which affects user behaviour
02. Establish a hypothesis to be tested in the A/B test
03. Select an element to examine
04. Create version A and B
05. Pick target audiences and decide sample size
06. Make use of A/B testing tool to conduct a A/B test
07. Validate or invalidate your hypothesis by analysing the test results
08. Take action and optimize assets and campaigns

Contact us now for more details about A/B testing!