The majority of A/B tests conclude on the certainty of a conversion gain. But without information on the evolution of the average basket, these conclusions are questionable. One could argue that there’s a reason this discipline is called “Conversion Rate Optimization” rather than “Business Optimization”.
How do you calculate your A/B test results and take into account conversion rate and average basket?
What else in this week newsletter:
- Amazon discovers that product availability and price belong closer towards add to cart
- Making data sexy: Excel visualization book
- How to track all link clicks using Google Tag Manager
- My experience with burnout as a Startup Founder
Job opportunities @ Effectory & Adidas
Have a nice day!