Effects of search engine advertising on user clicks, conversions, and basket choice

2019 ◽  
Vol 30 (4) ◽  
pp. 837-862
Author(s):  
Patrick Winter ◽  
Paul Alpar
Author(s):  
Carsten D. Schultz ◽  
Christian Holsing

For advertisers, search engine advertising represents an attractive opportunity to selectively reach the target group at a point in time when the prospects are already thematically involved and activated. One question that subsequently arises is if users use various devices during different phases of the search process and if this behavior affects the search engine advertising outcome measured by corresponding performance indicators. The present chapter addresses this question. Based on a search engine advertising campaign of a German service provider, the authors examine the development of performance indicators across multiple devices. Specifically, we retrace the development across desktops, tablets, and mobile devices. Thus, the chapter provides insights into device usage in search engine advertising. The chapter concludes with overall trends in search engine advertising.


2014 ◽  
Vol 90 (2) ◽  
pp. 206-216 ◽  
Author(s):  
Nadia Abou Nabout ◽  
Markus Lilienthal ◽  
Bernd Skiera

Author(s):  
Hamed Jafarzadeh ◽  
Aybüke Aurum ◽  
John D' ◽  
N.A. Ambra ◽  
Amir Hossein Ghapanchi

2014 ◽  
pp. 127-143
Author(s):  
Kevin M. Ryan ◽  
Rob Spider Graham

2017 ◽  
Vol 11 (2) ◽  
pp. 142-159 ◽  
Author(s):  
Bernard J. Jansen ◽  
Theresa B. Clarke

Purpose This research is based on the premise that current metrics for search engine advertising (SEA) are misleading and do not sufficiently allow managers to evaluate traffic and conversions simultaneously. This study aimed to conceptually develop and assess conversion potential (CvP) as a unifying construct for both measuring and evaluating the performance of SEA campaigns. Design/methodology/approach A data set of nearly seven million records covering almost three years of a multi-million-dollar keyword marketing campaign from a major US retailer was used to validate the construct of CvP. Findings Results empirically validate how CvP measures both campaign traffic and sales in SEA, using the optimization factor of ad rank, which is one of many possible factors. Research limitations/implications Although the data set is large and covers a lengthy period of time, it is limited to one company in the retail sector. Practical implications The research instantiates CvP as a metric for overall SEA account performance while demonstrating that it is a practical tool for future campaign planning. The metric simultaneously incorporates a sales ratio and a traffic ratio. Originality/value This is the first study to formalize and provide a working definition of CvP in the academic literature. The contribution is a theoretical and practical managerial framework to mutually evaluate, measure and make decisions about SEA efforts.


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