A list of the elements from your ad stack that you can a/b test
A step by step guide to implement a successful A/B test
Insights on how to analyze and understand the results of the test
More on this topic
We at Pubstack have been advocating for the extensive use of A/B testing in adtech for quite some time. In fact, this methodology was the only way to get viable and truthful metrics on many of our studies. You can find our whitepaper on monetisation that respects GDPR and user choice right here : "The guide to maximizing Monetization while respecting user choice"
Testing changes on your stack can only be verified through A/B testing, if you want to get your numbers (and your decisions!) right everytime. One of our customers has been using this method to measure the impact of each change to their ad stack, find out more by reading their Use case : Le Monde.