Campaign: Test Homepage
Beta Posterior Probability Distribution of Variants
Last Update: 2024-12-22 | 18:47:45 | Refresh
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Thompson Sampling algorithm used to determine variant assigned
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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