# LaTeX code for A/B Testing

\documentclass[a4paper,11pt]{article}
\usepackage{ulem}
\usepackage{a4wide}
\usepackage[dvipsnames,svgnames]{xcolor}
\usepackage[pdftex]{graphicx}

\usepackage{hyperref}
% commands generated by html2latex

\begin{document}
\begin{tabular}

\subsection{Contents}
\begin{itemize}
\item \hyperlink{Companies_well-known_for_using_A.2FB_Testing}{6Companies well-known for using A/B Testing}
\end{itemize}
\end{tabular}\hypertarget{Definition}{}

\subsection{ Definition }

An experimental approach to web design (especially user experience design), which aims to identify changes to web pages that increase or maximize an outcome of interest. (Wikipedia)

A/B Testing is a simple way to test changes to your page against the current design and determine which ones produce positive result. It is a method to validate that any new design or change to an element on your webpage is improving your conversion rate before you make that change to your site code. (\textit{Optimizely}: What is A/B Testing)\hypertarget{Conversion_Rate}{}

\subsection{Conversion Rate }

In internet marketing, the conversion rate is the proportion of visitors to a website who take action to go beyond a casual content view or website visit, as a result of subtle or direct requests from marketers, advertisers, and content creators.\href{/index.php/File:Conversion_rate.png}{
\includegraphics{/skins/common/images/magnify-clip.png}}

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\subsection{ Examples }

A/B Testing on eBay:\href{/index.php/File:Comparison.png}{
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\href{http://www.youtube.com/watch?feature=player_embedded&v=oy89HnIJsE4}{Video: How A/B Testing tools work (Visual Website Optimizer)}\hypertarget{Steps}{}

\subsection{ Steps }
\begin{itemize}
\item Determine a target
\item Come up with hypothesis of factors
\item Build a variation page
\item Show the two pages randomly to users.
\item Compare conversion rate of both sites.
\end{itemize}\hypertarget{Tips}{}

\subsection{ Tips }
\begin{itemize}
\item Test your software: Before you do the A/B testing, do an A/A testing first.
\item Focus on one goal per page: More than one goal will mix the testing result.
\item Test small elements: Small elements can also bring amazing conversion rate.
\item Do not expect large results from small changes: If all testing results are not satisfying, maybe it is time to change the whole interface. A/B testing is not omnipotence for developing conversion rate.
\item A/B Testing has its limitations: It only gives data, reasons are not included.
\end{itemize}\hypertarget{Companies_well-known_for_using_A.2FB_Testing}{}

\subsection{ Companies well-known for using A/B Testing }
\begin{itemize}
\item Amazon.com
\item BBC
\item eBay
\item Microsoft
\item LogMeln
\item Netflix
\item Platdom
\item Vegas.com
\item Zynga
\end{itemize}\hypertarget{A.2FB_Testing_Tools}{}

\subsection{ A/B Testing Tools }
\begin{itemize}
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\item \href{https://developer.amazon.com/sdk/ab-testing.html}{Amazon A/B Testing}
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\item ABinator
\end{itemize}\hypertarget{References}{}

\subsection{ References }

\href{http://en.wikipedia.org/wiki/A/B_testing}{Wikipedia: A/B Testing}
\\\href{https://www.optimizely.com/ab-testing}{Optimizely: What is A/B Testing}