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Showing posts with label online. Show all posts
Showing posts with label online. Show all posts
Wednesday, 27 August 2025

Do You Know How Well Your Test Will Perform?

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 There are various ways of running tests - or more specifically, there are various ways of generating test hypotheses.  One that I've co...
Friday, 21 September 2018

Email Etiquette

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I'm going to go completely off-topic in this post, and talk about something that I've started noticing more and more over recent mo...
1 comment:
Monday, 30 November 2015

Don't Make Me Think = Don't Make Me Read?

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We all know (because we've all been told) that online selling must follow the eternal (pre 1990) mantra that 'less is more'.  L...
Wednesday, 1 July 2015

Online Optimisation is a Game of Chess

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It occurred to me recently that there are some similarities between playing a game of Chess and optimising a website through testing (apa...
4 comments:
Monday, 1 June 2015

What is a "growth hacker"?

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Okay, I admit it: I'm confused.  I kept up to date with "experts", "gurus", "rock stars" and "ni...
2 comments:
Wednesday, 16 July 2014

When to Quit Iterative Testing: Snakes and Ladders

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I have blogged a few times about iterative testing , the process of using one test result to design a better test and then repeating t...
Tuesday, 24 June 2014

Why Does Average Order Value Change in Checkout Tests?

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The first discussion huddle I led at the Digital Analytics Hub in 2014 looked at why average order value changes in checkout tests, and wa...
Friday, 30 May 2014

Digital Analytics Hub 2014 - Preview

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Next week, I'll be returning to the Digital Analytics Hub in Berlin, to once again lead discussion groups on online testing.  Last ye...
Tuesday, 7 January 2014

The Key Questions in Online Testing

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As you begin the process of designing an online test, the first thing you'll need is a solid test hypothesis.  My previous post outline...
Wednesday, 24 July 2013

The Science of A Good Hypothesis

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Good testing requires many things:  good design, good execution, good planning.  Most important is a good idea - or a good hypothesis, but ...
2 comments: