Category Archives: Conversion Optimization

Bayesian AB Testing is Not Immune to Optional Stopping Issues

Fantasy vs real world in bayesian ab testing

Fantasy vs the Real World: Naive Bayesian AB Testing vs Proper Statistical Inference This post is addressed at a certain camp of proponents and practitioners of A/B testing based on Bayesian statistical methods who claim that outcome-based optional stopping, often called data peeking or data-driven stopping, has no effect on the statistics and thus inferences […] Read More…

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Tracking Site Speed with Google Analytics for UX and SEO

Site Speedometer

Given that site speed is a direct factor for AdWords landing pages, a major factor in Usability/UX/Conversion Rate optimization and a direct or undirect (I don’t think there is a consensus on that) factor in SEO, it’s no wonder many specialists nowadays pay close attention to page load times. Why Google Analycis for Site Speed […] Read More…

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Overview of Books on Conversion Optimization, Web Analytics, SEO & PPC

This overview is a little different than most overeviews out there. It will focus on three specific basic statistical concepts and would show if and how well they are explored in 18 of the top books on Conversion Optimization, A/B testing, web analytics, SEO & PPC/AdWords. The three concepts this review focuses on are statistical […] Read More…

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Should you do A/A, A/A/B or A/A/B/B tests in CRO?

A/A Split Test

This question pops up often┬áin more “advanced” discussion forums and blogs on Conversion Optimization and usually one (or several) of the following advices are given: Do an A/A test first in order to test your split testing framework. If the difference between the two is statistically significant at the decided level, then your framework is […] Read More…

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Why Every Internet Marketer Should Be a Statistician

Marketing as Fortune Telling

I’ll start this post right with the punch line: Internet marketing at its current state is dominated by voodoo magic. There, I’ve said it, and I’ve said it in bold italic so you know it must be true. Internet marketing is not as data-driven as most of us have been led to believe, it is […] Read More…

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Segmenting Data for Web Analytics – The Simpson’s Paradox

The Simpsons Paradox┬áis an interesting issue for everyone dealing with data analysis, including web analytics specialists who deal with data in internet marketing. No matter which field you are in: conversion optimization, search engine optimization, search engine marketing or other, this paradox can give you an interesting insight. The paradox is about proper test design […] Read More…

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