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Anyone use statistical methods to analyze ad campaign performance data to help with predictive modelling – what Google Ads metrics do you typically prioritize as predictor variables?
I've been reading up on multiple regression modelling and see it as something I could potentially use to analyze past campaign data to extract insights that inform the settings we tune for future campaigns – with the purpose of, of course, maximizing ROAS.
Your model's only as good as the predictor variables you choose to include in it, and there's a LOT of Google Ads metrics that could go in there. I mean when you click on 'Add Column' in the reports there's like 50+.
So I wanted to ask around a bit and see what the consensus is on this; aside from, ofc, conversions, ad spend, SIS etc, what all have you guys been incorporating into your predictive models?
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