A Cross-Industry Analysis of the Spillover Effect in Paid Search Advertising

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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A Cross-Industry Analysis of the Spillover Effect in Paid Search Advertising. / Nottorf, Florian; Funk, Burkhardt.
in: Electronic Markets, Jahrgang 23, Nr. 3, 09.2013, S. 205-216.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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Nottorf F, Funk B. A Cross-Industry Analysis of the Spillover Effect in Paid Search Advertising. Electronic Markets. 2013 Sep;23(3):205-216. doi: 10.1007/s12525-012-0117-z

Bibtex

@article{8d7ee2e782f14d398b9b4bd6130b8a3a,
title = "A Cross-Industry Analysis of the Spillover Effect in Paid Search Advertising",
abstract = "For the management of paid search advertising campaigns, metrics collected at keyword-level are often used in practice whereas the users' search process is of secondary importance and thus wholly or partially neglected. In contrast to brand-related keywords ({"}T-mobile contract{"}), general keywords, often referred to as generic ({"}mobile phone contract{"}), seem at first glance to be economically unattractive. Extending the approach of Rutz and Bucklin, Journal of Marketing Research, 48(1):87-102 (2011), we investigate the role of generic search activities in paid search advertising across industries using dynamic linear models (DLM). The so-called spillover effect, i. e. the increase in brand-related awareness effected by displaying ads for generic keywords, is investigated by both analyzing individual consumer behavior on the basis of keyword-level data and linking findings on keyword- with findings on individual user-level data. We show that the spillover effect varies across industries and that its consideration, for example for the mobile phone provider investigated here, decreases KPIs such as the cost per order up to 42 %.",
keywords = "Informatics, Paid Search Advertising, Bayesian statistics, Dynamic linear models, Online advertising, Paid search, User behavior, Bayesian statistics, Dynamic linear models, Online advertising, Paid search, User behavior",
author = "Florian Nottorf and Burkhardt Funk",
year = "2013",
month = sep,
doi = "10.1007/s12525-012-0117-z",
language = "English",
volume = "23",
pages = "205--216",
journal = "Electronic Markets",
issn = "1422-8890",
publisher = "Springer",
number = "3",

}

RIS

TY - JOUR

T1 - A Cross-Industry Analysis of the Spillover Effect in Paid Search Advertising

AU - Nottorf, Florian

AU - Funk, Burkhardt

PY - 2013/9

Y1 - 2013/9

N2 - For the management of paid search advertising campaigns, metrics collected at keyword-level are often used in practice whereas the users' search process is of secondary importance and thus wholly or partially neglected. In contrast to brand-related keywords ("T-mobile contract"), general keywords, often referred to as generic ("mobile phone contract"), seem at first glance to be economically unattractive. Extending the approach of Rutz and Bucklin, Journal of Marketing Research, 48(1):87-102 (2011), we investigate the role of generic search activities in paid search advertising across industries using dynamic linear models (DLM). The so-called spillover effect, i. e. the increase in brand-related awareness effected by displaying ads for generic keywords, is investigated by both analyzing individual consumer behavior on the basis of keyword-level data and linking findings on keyword- with findings on individual user-level data. We show that the spillover effect varies across industries and that its consideration, for example for the mobile phone provider investigated here, decreases KPIs such as the cost per order up to 42 %.

AB - For the management of paid search advertising campaigns, metrics collected at keyword-level are often used in practice whereas the users' search process is of secondary importance and thus wholly or partially neglected. In contrast to brand-related keywords ("T-mobile contract"), general keywords, often referred to as generic ("mobile phone contract"), seem at first glance to be economically unattractive. Extending the approach of Rutz and Bucklin, Journal of Marketing Research, 48(1):87-102 (2011), we investigate the role of generic search activities in paid search advertising across industries using dynamic linear models (DLM). The so-called spillover effect, i. e. the increase in brand-related awareness effected by displaying ads for generic keywords, is investigated by both analyzing individual consumer behavior on the basis of keyword-level data and linking findings on keyword- with findings on individual user-level data. We show that the spillover effect varies across industries and that its consideration, for example for the mobile phone provider investigated here, decreases KPIs such as the cost per order up to 42 %.

KW - Informatics

KW - Paid Search Advertising

KW - Bayesian statistics

KW - Dynamic linear models

KW - Online advertising

KW - Paid search

KW - User behavior

KW - Bayesian statistics

KW - Dynamic linear models

KW - Online advertising

KW - Paid search

KW - User behavior

UR - http://www.scopus.com/inward/record.url?scp=84883869160&partnerID=8YFLogxK

U2 - 10.1007/s12525-012-0117-z

DO - 10.1007/s12525-012-0117-z

M3 - Journal articles

VL - 23

SP - 205

EP - 216

JO - Electronic Markets

JF - Electronic Markets

SN - 1422-8890

IS - 3

ER -

DOI