Advertising, consumer awareness, and choice: evidence from the U.S. banking industry

AuthorAli Hortaçsu,Elisabeth Honka,Maria Ana Vitorino
Published date01 August 2017
Date01 August 2017
DOIhttp://doi.org/10.1111/1756-2171.12188
RAND Journal of Economics
Vol.48, No. 3, Fall 2017
pp. 611–646
Advertising, consumer awareness,
and choice: evidence from the U.S. banking
industry
Elisabeth Honka
Ali Hortac¸su∗∗
and
Maria Ana Vitorino∗∗∗
How does advertising influence consumer decisions and market outcomes? We utilize detailed
data on consumer shopping behavior and choices over bank accounts to investigate the effectsof
advertising on the different stagesof the shopping process: awareness, consideration, and choice.
Weformulate a structural model with costly search and endogenous considerationsets, and show
that advertising in the U.S. banking industry is primarily a shifter of awareness as opposed to
consideration or choice. Advertising makes consumers aware of more options, search more, and
find better alternatives. This increases the market share of smaller banks and makes the industry
more competitive.
University of California Los Angeles; elisabeth.honka@anderson.ucla.edu.
∗∗University of Chicago and NBER; hortacsu@uchicago.edu.
∗∗∗University of Minnesota; vitorino@umn.edu.
Weare grateful to Frederico Belo, Mark Bergen, Thomas Holmes, Mitch Lovett, John Lynch, Amil Petrin,Enno Siemsen,
Aaron Sojourner, and Joel Waldfogel for their numerous comments and suggestions. We also thank the participants of
the 2013 Marketing Science conference (Istanbul), the 2014 UT Dallas FORMS conference, the 2014 IIOC conference
(Chicago), the 2014 Yale Customer Insights conference (New Haven), the 2014 CIRP ´
EE Conference on Industrial
Organization (Montreal, Canada), the 2014 Summer NBER Industrial Organization Meeting (Cambridge, MA), the
2014 Summer Institute in Competitive Strategy (Berkeley), the 2014 Marketing Dynamics conference (Las Vegas),
the 2014 Annual Federal Trade Commission Microeconomics Conference (Washington DC), the 2016 Workshop on
the Economics of Advertising and Marketing (Vilnius, Lithuania), and seminar participants at the Carlson School of
Management (University of Minnesota), Brown University, Anderson School of Management (UCLA), Booth School of
Business (University of Chicago), Simon Business School (University of Rochester), Johnson School of Management
(Cornell University), Kellogg School of Management (Northwestern University), Universitat Aut`
onoma de Barcelona,
and Columbia University for their comments. Wespecifically thank the discussants Tat Chan, Judith Chevalier, Gautam
Gowrisankaran, Sanjog Misra, Sridhar Narayanan, Marc Rysman, Anna Tuchman, and Lawrence White for the detailed
comments on our work. We are grateful to RateWatch and to an anonymous market research company for providing
us with the data. Mark Egan provided excellent research assistance. This article was generously supported by the NSF
(grant no. SES-1426823) and by the Dean’s Small Grants Program at the University of Minnesota Carlson School of
Management. All errors are our own.
C2017, The RAND Corporation. 611
612 / THE RAND JOURNAL OF ECONOMICS
1. Introduction
How does advertising work? This is a central question in the economics literature (Bagwell,
2007). In his classic book, Chamberlin (1933) argued that advertising affects demand because
(i) it conveys information to consumers with regard to the existence of sellers and the prices and
qualities of products in the marketplace, and (ii) it alters consumers’ wants or tastes. Measuring
the separate contributions of these roles is, however, challenging. Incorporating the different
channels through which advertising affects demand into a model, especially one that is suitable
for estimation, is a complex task. More importantly, it is rare to have access to data that describes
the entire consumer purchase process, from awareness to consideration and finally choice, which
is necessary to identify the separate roles of advertising.
This article uses detailed survey data to empirically disentangle the roles of advertising in
the different stages of the consumer purchase process and to measure the mechanisms through
which advertising ultimately affects consumer choices. More specifically, we measure how much
advertising influences consumer behavior directly as a utility shifter versus as a way of increasing
consumer awareness for a product or brand. We do so in the context of the banking industry and
conduct our measurement through a fully specified structural model that contains the awareness-
consideration-choice stages and, in particular, endogenizes the “choice” of consideration set by
each consumer using a costly search framework.
Understanding the drivers of demand for retail banking products and services, a very large
and growing sector of the economy, is an important question. With its $14 trillion of assets,
7,000 banks, and more than 80,000 bank branches, the U.S. banking industry comprises a very
important portion of the “retail” economy with significant attention from regulators and policy
makers. Despite the importance of the banking sector, structural demand analyses to date (e.g.,
Dick, 2008; M´
olnar, Violi, and Zhou, 2013; Wang, 2016) have been based on aggregated market
share data on deposits. There has been very little research using detailed consumer-level data
to characterize consumers’ heterogeneous response to drivers of demand. Moreover, although
the banking and financial industry spends more than $8 billion per year on advertising,1and the
industry’s market value relies heavily on advertising (as shown, e.g., in Belo, Lin and Vitorino
2014 and Vitorino2014), there is little academic research that investigates the precise way in which
advertising affects consumer demand in this industry. Some recent exceptions in the literature
are Gurun, Matvos, and Seru (2016) on the marketing of mortgages and Hastings, Hortac¸su, and
Syverson (forthcoming) on retirement savings products. However, neither of these studies can
differentiate between the awareness and the utility-shifting functions of advertising.
The primary data source for our study consists of individual-level survey data from a major
market research company.The data contain infor mation about whichbanks consumers are aware
of, the set of banks consumers consider, and the identity of the banks consumers decide to open
one or more new bank accounts with. In addition, we observe a nearly complete customer profile
containing information on demographics such as age, gender, marital status, and education. We
complement these data with three additional sets of data on the retail banking industry. Data
provided by RateWatch contain information on interest rates and fees for the most common
account types for all banks over the same time period as the survey data. Advertising data
come from Kantar Media’s Ad$pender database. Kantar tracks the number of advertisements and
advertising expenditures in national media as well as in local media at the Designated Market
Area (DMA) level. Last, we collect information on the location of bank branches from the
Federal Deposit Insurance Corporation (FDIC). Together, these data give us a detailed picture of
consumers’ shopping and purchase processes and of the main variables affecting them.
The data show that consumers are, on average, aware of 6.8 banks and consider 2.5 banks
when shopping for a new bank account. There is substantial heterogeneity in consumers’ aware-
ness and consideration sets as reflected in the large variation in the sizes of these sets across
1kantarmediana.com/intelligence/press/us-advertising-expenditures-increased-second-quarter-2013.
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consumers. The relationship between the size of consumers’ awareness and consideration sets is
weak, indicating a distinct difference between the two stages. This difference is further reflected
in the large variation across consumers in what concerns which banks enter consumers’ awareness
and consideration sets. The data also show that there are large differences in the conversion rates
from awarenessto consideration and from consideration to choice/purchase across banks. Interms
of final choices, the most common account types consumers open are checking accounts (85% of
consumers), savings accounts (58%), and credit cards (26%). Finally, our data also confirm the
crucial importance of local bank presence—that is, bank branches—in the consumer’s decision
process: given that the consumer decides to consider or to purchase from a bank, we find that the
probability that a bank has a local branch within five miles of the consumer’s home is on average
81% and 84%, respectively.
To quantify the effects of advertising (and other variables) on economic outcomes, we
develop a structural model of the three stages of the consumer purchase process: awareness,
consideration, and choice. We model the decision process of a consumer who is considering to
add (or not to add) one or more bank accounts to his existing portfolio. The model incorporates
informational heterogeneity across consumers (reflected in the size and content of the consumers’
awareness and consideration sets) and allowsfor costly search (about interest rates). We showthat
incorporating both informational heterogeneity and costly search is important in our context. In
addition, we address the potential endogeneity of the banks’ advertising intensity variable using
the control-function approach.
Awareness is a function ofbank adver tising, local bank presence, and demographic factors.
A consumer searches among the banks he is aware of. Searching for information is costly for
the consumer, because it takes time and effort to contact financial institutions and is not viewed
as pleasant by most consumers. Thus, a consumer investigates only a few banks that together
represent his consideration set and makes the final decision to open one or more new accounts with
a bank from among the ones in the considered set. Our utility-maximizing modeling approach
connects and models all three outcome variables: the set of banks the consumer is aware of, the
consumer’s decision of which banks to include in his consideration set given his awareness set,
and the decision of which bank to open one or more accounts with, given his consideration set.
The estimates from the awareness stage highlight the importance of both advertising and
branch presence in driving how aware consumers are of a bank. The results from the consideration
and choice stages indicate that the average consumer search cost that rationalizes the amount of
search conducted by consumers within their awareness sets is about four basis points (0.04%) per
bank searched, which is in line with consumer search costs estimated in other financial products
settings, for example, Hortac¸su and Syverson (2004). The results also show that convenience
is a major driver in the consumer shopping process. Convenience is captured by the fact that
consumers are more likely to open bank accounts with banks located in close proximity to where
the consumers live. The positive effect of local bank presence at the choice stage suggests that,
in spite of the widespread availability and convenience of online banking, consumers still value
having the possibility of talking to a bank employee in person.
To evaluate the economic implications of our findings, we perform several analyses. First, to
answer the question of how advertising works, we compute elasticities of awareness and choice
probabilities with respect to changes in advertising. In addition, we perform a counterfactual
analysis in which we shut down advertising and investigate its effects on selected economic
variables. Overall,our results show that advertising has a large indirect effect on consumer choices
via awareness and that it affects consumers’ choices directly only marginally. Advertising makes
consumers aware of more alternatives; thus, consumers search more and find better alternatives
than they would otherwise. In turn, this increases the market share of smaller banks, making
the U.S. banking industry more competitive. This suggests that, in the retail banking industry,
the primary role of advertising is to inform consumers about the existence and availability of
retail banks and their offerings. This finding stands in contrast to other recent research that has
also investigated consumers’ demand for financial products. For example, Gurun, Matvos, and
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