Identifying causation between content ad kpis
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I have a bunch of content tagged with various types of content (e.g. political news, sports, opinion etc.) and a bunch of kpis related to ads placed next to this content (e.g click-throughs, purchases etc.).
What would be the approach to identify which type(s) of content had the causation effect on certain kpis? I know of a naive bayesian approach and using diagnostic analysis. Any others that should be considered.
correlation naive-bayes-classifier
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$begingroup$
I have a bunch of content tagged with various types of content (e.g. political news, sports, opinion etc.) and a bunch of kpis related to ads placed next to this content (e.g click-throughs, purchases etc.).
What would be the approach to identify which type(s) of content had the causation effect on certain kpis? I know of a naive bayesian approach and using diagnostic analysis. Any others that should be considered.
correlation naive-bayes-classifier
$endgroup$
add a comment |
$begingroup$
I have a bunch of content tagged with various types of content (e.g. political news, sports, opinion etc.) and a bunch of kpis related to ads placed next to this content (e.g click-throughs, purchases etc.).
What would be the approach to identify which type(s) of content had the causation effect on certain kpis? I know of a naive bayesian approach and using diagnostic analysis. Any others that should be considered.
correlation naive-bayes-classifier
$endgroup$
I have a bunch of content tagged with various types of content (e.g. political news, sports, opinion etc.) and a bunch of kpis related to ads placed next to this content (e.g click-throughs, purchases etc.).
What would be the approach to identify which type(s) of content had the causation effect on certain kpis? I know of a naive bayesian approach and using diagnostic analysis. Any others that should be considered.
correlation naive-bayes-classifier
correlation naive-bayes-classifier
asked 29 mins ago
SantinoSantino
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