Bayesian A/B Testing Dashboard


Campaign: Test Homepage

Beta Posterior Probability Distribution of Variants

Last Update: 2024-11-11 | 09:37:49 | Refresh


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Thompson Sampling algorithm used to determine variant assigned


Simulate Page Visits

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The "true" conversion rate for each variant is already fixed and simulating enough page visits will cause the distribution means to converge to the predetermined conversion rates.

  


Summary Of A/B/C Test Results

Summary of Impressions/Conversions
Variant Impressions Conversions Conversion Rate
A 0 0 0.00
B 0 0 0.00
C 0 0 0.00

Probability of conversion rate for Variant X (row) greater than Variant Y (col)
P(X>Y) A B C
A - 1.000 1.000
B 1.000 - 1.000
C 1.000 1.000 -

Reset

To reset impressions and conversions for all variants, click here