In this paper a Bayesian inference to conversion rate optimization is considered. Bayesian A/B/C testing methodology with the expected value of the loss function computed analytically is proposed. Bayesian A/B/C testing results are presented graphically and descriptively.
The research deals with the mathematical model of multivariate testing of the landing page of the website. The confidence intervals for the conversion rate difference of the landing page variations are investigated.