Our analytics expert Annemarie Klaassen is currently in Jamaica for the No. 1 analytics event worldwide: SuperWeek. She was asked to present on how we at Online Dialogue analyze A/B testing. More specifically: how we determine when we recommend implementing a tested variation and when not. Previously, Annemarie wrote an article about this on our website: Why a Bayesian A/B test evaluation delivers more.

At SuperWeek, Annemarie shows the Online Dialogue >>> for the first time.Bayesian A/B Test Calculator, with which you can calculate for yourself whether you should implement a variant or not.

This calculator was developed by Online Dialogue from an idea by Annemarie Klaassen and a design by Roy Schieving. The calculator is live on our A/B testing knowledge share site ABTestguide.com (where you'll find even more tools and calculators).

Presentation slides

In her presentation, Annemarie dwells on the fact that for a data-driven optimization program to be successful within an organization, frequent insights and commercial winners must be found. Too often we ignore results that are not significantly different and are dismissed as “doesn't work.” This while an implementation can lead to a positive business case. Below are Annemarie's slides via SlideShare, or you can download the PDF of her presentation: Test for business growth.