Retail Predictive Application Server (MOSC)

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Causal Algorithm

edited Oct 23, 2014 10:04AM in Retail Predictive Application Server (MOSC) 8 commentsAnswered

Hi all,

Please, correct me if I am wrong, I had the idea that the future promotions would be calculated being the average of the past relevant lift effects. However, in the attached test, the exact same promotions (all my promos have a lift of 50%) are not translated into a 1,5 lift factor. It is working as expected in the first scenario, but for the second case, the system calculated 1,52 factor (which may be a relevant difference depending on the number of units).

Is this a bug? Can anyone help me understand how the causal is calculating the lift factor?

Best Regards

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