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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Quantitative Marketi...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Quantitative Marketing and Economics
Article . 2015 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
SSRN Electronic Journal
Article . 2013 . Peer-reviewed
Data sources: Crossref
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Is Online Newspaper Advertising Cannibalizing Print Advertising?

Authors: Shrihari Sridhar; Srinivasaraghavan Sriram;

Is Online Newspaper Advertising Cannibalizing Print Advertising?

Abstract

During the past decade, the newspaper industry experienced significant erosion of revenues, predominantly in print advertising. The concomitant increase in the less rewarding online advertising has been unable to make up for this loss. As a result, for every $1 increase in online advertising between 2005 and 2011, newspapers lost $22 in print advertising. While it is conceivable that the overall change in the advertising landscape (such as the growth of targeted search advertising), contributed to the decline in print advertising, it is not clear whether the growth in online newspaper advertising aggravated or alleviated this global trend. We investigate this concern by studying how advertisers reallocate their media budgets over time between the online and print media within a newspaper. We perform our empirical analysis using unique panel data on account-level advertising expenditures in a Top 50 US newspaper from 2005 through 2011. After accounting for cross-sectional heterogeneity among advertisers and some factors that possibly drove both print and online newspaper advertising, we find a negative relationship between the ad spending in these two media options. Therefore, advertisers exhibit a higher propensity to decrease print spending when they increase their online spending compared to the scenario when online spending either remains unchanged or even decreases. Since we do not rely on exclusion restrictions, we cannot rule out residual factors that drove both print and online advertising and thus contaminated this relationship. However, such potentially confounding factors (e.g., change in total media budget) are likely to have induced a positive correlation between print and online advertising. Therefore, the negative relationship that we recover is suggestive of advertisers perceiving print and online newspaper advertising as substitutes. This, in turn, implies that the growth in online newspaper advertising exacerbated the overall decline in print advertising. Overall, we attribute 7-17 % of the decline in print newspaper advertising revenues between 2005 and 2011 to the growth of online newspaper advertising. We conclude that cannibalization should be a credible consideration in the marketing decisions of the newspaper. However, since a large portion of print advertising revenue decline also occured for advertisers who never purchased online advertising from the newspaper, cannibalization within the newspaper is not solely responsible for the downward trajectory of print advertising.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Average
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