Open-ended experimentation. This approach is similar to closed-ended experimentation except that more variations will be added for testing and experimentation will not stop when a winner is found. This method is used by large corporation to dynamically improve their conversion rates and improve user experience. Landing page can also be adjusted dynamically as the experiment results change to further enhance user experience.

When I first wrote this article in 2011, I mentioned how the marketing copy for Crazy Egg’s heat-mapping feature could have been stronger by better explaining how the tool helps customers to increase conversions. While this information is clearer now thanks to the detailed visuals and simple copy layout that allows the reader to skim and scan — it could be better by explaining a bit more.

A/B testing, or A/B split testing, is a method for testing two versions of a webpage: version "A" and version "B". The goal is to test multiple versions of webpages (e.g., home page vs. product page) or one specific element that changes between variation A and variation B (such as having a lead form on the left hand side or having it placed on the right hand side), FAQ to determine which version is most appealing/effective. This testing method may also be known as A/B/n split testing; the n denoting more than 2 tests being measured and compared. The data for A/B testing is usually measured via click-through rate or an alternative conversion tracking method.[11]


Hi Matt, a really great article which pulls out many strengths. I’m a wedding photographer and I’m researching new ways to funnel visitors by their current; challenges, position in planning their wedding and then addressing short term buyers vs longer cycle buyers who are researching etc. Do you have any advice or examples which could be useful even if a different industry? Thanks Pete
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