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Probably because Prophet trend and seasonality are extracted from the raw data and not as a part of the model. |
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I’m noticing a significant drop in media attribution after adding Prophet’s seasonality and trend components to my model. The model structure and media inputs remain the same, and the overall model fit is still good in both cases—but the media contribution drops considerably when seasonality and trend are included.
From a business perspective, this level of attribution doesn’t align at all with what's observed operationally. We know that media plays a substantial role in driving performance.
Would appreciate your thoughts on:
Thanks so much :)
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