A/B testing (split testing) is the process of setting up two versions of one page, and testing which page outperforms the other. Here's how to do it right.

Improve your Python testing even more. In my last two articles, I introduced pytest, a library for testing Python code (see "Testing Your Code with Python's pytest" Part I and Part II). pytest has ...

Learn how to test your SEO theories using Python. Discover the steps required to pre-test search engine rank factors and validate implementation sitewide.

To determine the causal effect of a decision or tool, companies routinely use A/B testing: comparing outcomes reveals whether ...

A/B testing, a common method of comparison used by digital marketers, can help L&D leaders determine whether trainings are making the impact they should.