Measuring the Lifetime Value of Customers Acquired from Google Search Advertising

被引:57
作者
Chan, Tat Y. [1 ]
Wu, Chunhua [1 ]
Xie, Ying [1 ]
机构
[1] Washington Univ, Olin Business Sch, St Louis, MO 63130 USA
关键词
customer lifetime value; multiple-channel shopping; customer acquisition; sponsored search advertising; PARETO/NBD MODEL; BASE ANALYSIS; INDUSTRY; CHANNEL; CLV;
D O I
10.1287/mksc.1110.0658
中图分类号
F [经济];
学科分类号
02 ;
摘要
Our main objective in this paper is to measure the value of customers acquired from Google search advertising accounting for two factors that have been overlooked in the conventional method widely adopted in the industry: (1) the spillover effect of search advertising on customer acquisition and sales in off-line channels and (2) the lifetime value of acquired customers. By merging Web traffic and sales data from a small-sized U.S. firm, we create an individual customer-level panel that tracks all repeated purchases, both online and off-line, and tracks whether or not these purchases were referred from Google search advertising. To estimate the customer lifetime value, we apply the methodology in the customer relationship management literature by developing an integrated model of customer lifetime, transaction rate, and gross profit margin, allowing for individual heterogeneity and a full correlation of the three processes. Results show that customers acquired through Google search advertising in our data have a higher transaction rate than customers acquired from other channels. After accounting for future purchases and spillover to off-line channels, the calculated value of new customers using our approach is much higher than the value obtained using conventional method. The approach used in our study provides a practical framework for firms to evaluate the long-term profit impact of their search advertising investment in a multichannel setting.
引用
收藏
页码:837 / 850
页数:14
相关论文
共 29 条
[1]   "Counting Your Customers" One by One: A Hierarchical Bayes Extension to the Pareto/NBD Model [J].
Abe, Makoto .
MARKETING SCIENCE, 2009, 28 (03) :541-553
[2]   Customer channel migration [J].
Ansari, Asim ;
Mela, Carl F. ;
Neslin, Scott A. .
JOURNAL OF MARKETING RESEARCH, 2008, 45 (01) :60-76
[3]   Clicks and mortar: The effect of on-line activities on off-line sales [J].
Biyalogorsky, E ;
Naik, P .
MARKETING LETTERS, 2003, 14 (01) :21-32
[4]  
Chan T., 2010, POSITION COMPETITION
[5]   Marginal likelihood from the Gibbs output [J].
Chib, S .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1995, 90 (432) :1313-1321
[6]   How cannibalistic is the Internet channel? A study of the newspaper industry in the United Kingdom and The Netherlands [J].
Deleersnyder, B ;
Geyskens, I ;
Gielens, K ;
Dekimpe, MG .
INTERNATIONAL JOURNAL OF RESEARCH IN MARKETING, 2002, 19 (04) :337-348
[7]   Modeling CLV: A test of competing models in the insurance industry [J].
Donkers, Bas ;
Verhoef, Peter C. ;
de Jong, Martijn G. .
QME-QUANTITATIVE MARKETING AND ECONOMICS, 2007, 5 (02) :163-190
[8]   Internet advertising and the generalized second-price auction: Selling billions of dollars worth of keywords [J].
Edelman, Benjamin ;
Ostrovsky, Michael ;
Schwarz, Michael .
AMERICAN ECONOMIC REVIEW, 2007, 97 (01) :242-259
[9]  
ELGIN B, 2005, BUSINESS WEEK 0221
[10]  
Fader P.S., 2005, A note on deriving the pareto/nbd model and related expressions