Forums › Forums › PPC › 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? › Reply To: 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?

  • QuantumWolf99

    Guest
    May 17, 2026 at 8:33 pm

    The metrics that actually predict future ROAS in regression models are impression share lost to budget, impression share lost to rank, and conversion lag by day… not CTR or CPC.

    The variables most people include are the ones Google reports loudly… the ones that matter are the ones revealing structural constraints and intent quality deterioration before ROAS moves.