The right metrics for marketing-mix decisions

نویسندگان

چکیده

This study addresses the following question: For a given managerial, firm, and industry setting, which individual metrics are effective for making marketing-mix decisions that improve perceived performance outcomes? We articulate key managerial takeaways based on testing multi-stage behavioral framework links decision context, selection, outcomes. Our statistical model adjusts potential endogeneity bias in estimating metric effectiveness due to selection effects differs from past literature managers can strategically choose their ex-ante expected effectiveness. The findings of our analysis 439 1287 customer-mindset marketing such as awareness willingness recommend most employ while financial target volume net present value least effective. However, relative metrics, more uncertain about attenuates use. A second 142 helps provide detailed underlying rationale these results. implications dashboards automated systems machine learning discussed.

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ژورنال

عنوان ژورنال: International Journal of Research in Marketing

سال: 2021

ISSN: ['1873-8001', '0167-8116']

DOI: https://doi.org/10.1016/j.ijresmar.2020.08.003