How Search Engine Advertising Affects Sales over Time: An Empirical Investigation
Yanwu Yang, Kang Zhao, Daniel Zeng, and Bernard Jim Jansen

TL;DR
This paper empirically investigates how various factors influence sales over time in Search Engine Advertising (SEA), revealing dynamic effects and emphasizing the importance of carryover, conversion rate, and ad position in campaign effectiveness.
Contribution
It introduces a novel time-varying coefficient model to analyze the dynamic relationship between SEA factors and sales, based on a unique dataset from a large U.S. e-commerce retailer.
Findings
Carryover effects are stronger than direct response in generating sales.
Conversion rate is more impactful than click-through rate.
Ad position does not significantly affect sales.
Abstract
As a mainstream marketing channel on the Internet, Search Engine Advertising (SEA) has a huge business impact and attracts a plethora of attention from both academia and industry. One important goal of advertising is to increase sales. Nevertheless, while previous research has studied multiple factors that are potentially related to the outcome of SEA campaigns, effects of these factors on actual sales generated by SEA remain understudied. It is also unclear whether and how such effects change over time in highly dynamic SEA campaigns. As the first empirical investigation of the dynamic advertisement-sales relationship in SEA, this study builds an advertising response model within a time-varying coefficient (TVC) modeling framework, and estimates the model using a unique dataset from a large E-Commerce retailer in the United States. Results reveal the effects of the advertising…
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Taxonomy
TopicsConsumer Market Behavior and Pricing · Digital Marketing and Social Media · Innovation Diffusion and Forecasting
