Nauto, a data platform for self-driving cars, helps make autonomous driving safer for companies who manage fleets of self-driving vehicles. Naturally, its customers would need all kinds of information to sell them on this platform. Nauto has it, packaged into a super-simple ebook whose landing page gives you both a brief contact form and some preview statistics to prove why this resource is so important.
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.
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Significant improvements can be seen through testing different copy text, form layouts, landing page images and background colours. However, not all elements produce the same improvements in conversions, and by looking at the results from different tests, it is possible to identify the elements that consistently tend to produce the greatest increase in conversions.
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