Every year we publish a list of most read articles on CXL. Out of all the blog posts we published in 2015, these got the most attention.
People are not rational. Here’s how to really persuade them.
Measuring the impact of testing is not really so transparent as we’d like to think.
How to convince people to give you money for something that they won’t receive for months (and possible longer).
We make data vs design out to be some great collision of disciplines when in fact they are not opposites, and they can and should work together.
There’s a philosophical statistics debate in the optimization world: Bayesian vs Frequentist.
There’s still a lot of confusion and misunderstanding about one-tailed and two-tailed testing.
The success of your testing program is a sum of these two: number of tests run (volume) and percentage of tests that provide a win.
The problem is writing copy for them can be a confusing process because it’s too easy to forget they often function more like a long form sales page than a traditional home page.
And the most read post of the year:
While there are no universal rules in conversion optimization, there are some things that tend to work more often than not.