A paper in the Journal of Advertising Research proposes sales and advertising build benchmarks which can be used to estimate long-term performance. The author notes that these methods are not meant to replace comprehensive marketing mix modeling, but they can serve as simpler, faster way of gauging whether a product is on-track to meet its full-year target. Read more »
Member Only AccessA paper in the Journal of Advertising Research proposes sales and advertising build benchmarks which can be used to estimate long-term performance. The author notes that these methods are not meant to replace comprehensive marketing mix modeling, but they can serve as simpler, faster way of gauging whether a product is on-track to meet its full-year target. Read more »
Member Only AccessA paper in the Journal of Advertising Research proposes sales and advertising build benchmarks which can be used to estimate long-term performance. The author notes that these methods are not meant to replace comprehensive marketing mix modeling, but they can serve as simpler, faster way of gauging whether a product is on-track to meet its full-year target. Read more »
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On January 14, the LA Media Research Council dove into recent media research insights and discussed key issues and priorities for the upcoming year. Attendees heard new, research-based insights on changes in viewer behavior and the impact of viewer attitudes on content and platform preferences. Plus, listen in on an interactive Q&A with media experts.
Member Only AccessA paper in the Journal of Advertising Research proposes sales and advertising build benchmarks which can be used to estimate long-term performance. The author notes that these methods are not meant to replace comprehensive marketing mix modeling, but they can serve as simpler, faster way of gauging whether a product is on-track to meet its full-year target. Read more »
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This study presents a framework for understanding people’s use of predictive algorithms, emphasizing their role as tools designed to support human decision-making. It argues that users’ performance expectations are a primary driver of their decisions to adopt these algorithms. By reviewing and reinterpreting the literature through the lens of laypeople’s performance expectations, the study aims to clarify why some algorithms are accepted and others are rejected. It concludes by suggesting avenues for designing algorithms that better meet users’ expectations, enhancing their usability and acceptance.
Member Only AccessA paper in the Journal of Advertising Research proposes sales and advertising build benchmarks which can be used to estimate long-term performance. The author notes that these methods are not meant to replace comprehensive marketing mix modeling, but they can serve as simpler, faster way of gauging whether a product is on-track to meet its full-year target. Read more »
Member Only AccessA paper in the Journal of Advertising Research proposes sales and advertising build benchmarks which can be used to estimate long-term performance. The author notes that these methods are not meant to replace comprehensive marketing mix modeling, but they can serve as simpler, faster way of gauging whether a product is on-track to meet its full-year target. Read more »
Member Only Access