Mobile
Marketing: A New Mantra
Dr.
Dilip Sondani
B/3 Ashiyana
Apartment, Sardarnagar, Bhvangar-364002
*Corresponding Author E-mail: dilip.bhai16@yahoo.com
Technology developments have created new marketing
communication channels or media such as email, SMS (Short Messaging Service)
MMS (Multimedia Messaging Service). Over 240 million people in India now own
mobile phones, and significant opportunities for content provides
are available in this nascent market. In India, wireless operators, music and
film companies, cartoon artists, game makers and musicians are all aggressively
entering the mobile content market for ring tones, mobile imagery and streaming
audio and video. Today's consumers are claimed to be independent,
individualistic, involved and informed, which makes it harder than ever to
conduct interruption-based communication. In permission marketing context it
has been argued that if the consumers have agreed to pay attention it would be
easier to reach them about offerings (Godin,1999). Mobile marketing offers
great opportunities for businesses. Marketing activities supported by mobile
devices allow companies to directly communicate with their consumers without
time or location barriers. Possibilities for marketers are numbers, but many
aspects of mobiles marketing still need further investigation.
Especially, the topic of mobile advertising
(m-advertising) is of major interest. M-advertising addresses consumers with
individualized advertising messages via mobile devices. Marketing on a mobile
has become increasingly popular ever since the rise of SMS (Short Messaging
Service) in the early 2000s in Europe and some parts of Asia when businesses started to collect
mobile phone numbers and send off wanted (or unwanted) content. Over the past
few years SMS has become a legitimate advertising channel in some parts of the
world.
This is because unlike email over the public internet,
the carries who police their own networks have set guidelines and best practices
for the mobile media industry (including mobile advertising). Mobile channel
gives access to a one-to one, direct-to-direct-consumer, personal contact with
the customers, helps you design a mobile marketing campaign that delivers on
the following parameters like innovative, personalized, targeted, measurable.
As more and more regions coming under the mobile umbrella, rural parts of India
are no different. The mobile penetration in this world’s fastest growing
telecom market and the report "Emerging Rural Mobile in India"
provides extensive research on the growing marketplace for mobile industry in
rural India.
ADVERTISING
VIA MOBILE DEVICES:
India's telecommunication sector is witnessing an
explosive growth, as falling tariffs and rising incomes are bringing mobile
within the reach of millions of new customers. Kotler
defines advertising as "any paid form of non-personal presentation and
promotion of ideas, goods or services by an identified sponsor" (Kotler 2003). Advertising via mobile devices or mobile advertising
(in the following abbreviated as advertising via mobile devices) is defined as
the usage of interactive media (such as cellular phones and pagers, cordless
telephones, personal digital assistants, two-way radios, baby crib monitors,
wireless networking systems, GPS-based locators and maps) to transmit
advertising messages to consumers in form of time and location sensitive,
personalized information with the overall goal to promote goods and services.
There are different synonyms for advertising via mobile devices, such as
wireless advertising (Krishnamurthy, 2000) or wireless advertising messaging
(Petty, R. D. 2003).
Usually, mobile advertising messages transmitted via
short message service (SMS) (De Reyck, B. and Degraeve, 2003). Mobile advertising allows marketers to
exploit the medium's unique features in order to customize their messages to
consumer's attributes. "Good marketing management emphasizes the building
of long term relationships" (Houston, F.S and J.B Gassenheimer,
1987). Mobile advertising can support these goals in various ways because it
allows reciprocal communication processes between market and consumers.
"As more wireless bandwidth will be available, content rich advertising
involving audio, pictures, and video clips can be produced for individual users
with specific needs, interests, and inclination" (Varshney,
U. 2003). It is therefore assumed that mobile advertising will be also an
important revenue source for mobile operators in the future (DeZoysa, S 2002).
Attitude toward an ad is defined as "a learned
predisposition to respond in a consistently favorable or unfavorable manner
toward advertising in general" (Mackenzie, S.B and R.L. Lutz, 1989). In
this context, it is important to note that attitude toward advertising via
mobile device pertains to consumer's attitude toward this advertising type in
general and not to the exposure to one particular ad.
In general, attitudes are "mental states used by individuals to structure
the way perceive their environment and guide the way they respond to it" (Aaker, D.A. V. Kumar, and G.S. Day, 2001). A significant
correlation between favorable attitudes toward advertising and respondents
rating of specific advertising as being annoying, likeable, enjoyable etc. has
been observed (Bauer, R.A. and S.A. Greyser, 1968).
Consequently, our research interest focuses on the antecedents of consumer
attitudes toward advertising via mobile devices.
OBJECTIVES:
Present study is aimed at studying the impact of Mobile
Marketing in effective transformation of dynamic Indian Consumer Market with
reference to Bhavnagar city. Present study is exploratory in nature and
undertaken to explore the Mobile Marketing, the study has been carried out
adopting survey research design.
METHODOLOGY:
The Sample: The sample was collected from the region of
Bhavnagar, known as the industrial capital of the state. The sample size under
study was 50. The sample size includes consumers ranging from various
professions with diverse income groups. Majority of consumers participated in
the survey were male, although having a significant proportion of females.
Consumers covered were also classified into two distinct groups based on their
monthly income
The Hypotheses
H01: There is no significant difference of
perception of consumer with different Income Group on Mobile marketing
H02: There is no significant difference of
perception of consumer based on Gender on Mobile marketing
Tools for Data Collection: The primary source of data
collection was used and tool of data collection employed was the questionnaire.
Collection of the data was done during from period Sep. to Oct. 2011. To assess
the scale reliability, the statistical measure cronbach
alpha of the in instrument was calculated. The alpha coefficient was 0.902 for
the survey questionnaire. As value above 0.5 (the reliable level), the scales
is highly reliable. So no dropping of items was carried out. The validity of
the scale was found to be 0.947.
Tools for Data Analysis: Z test was used for the
purpose of analysis. Gender based and Monthly Income based analyses were
performed.
RESULTS
AND DISCUSSION:
As the purpose of the study was to identify what is the
impact of mobile marketing services offered to consumers in Bhavnagar city. The
survey questionnaire consisted of 21 statements, on which response was received
from 50 respondents. The first three statements were framed regarding
perception of innovativeness among the respondents. The next two statements
were focused on knowledge level of respondent about the mobile communications.
The next two statements focused on information seeking behaviour
about mobile marketing. Two statements focused on attitude of respondents
towards advertising, the next three statements focused on perceived information
utility of mobile marketing. The next two statements focused on perceived risk
about using mobile marketing, the next four statements focused on attitude
towards social norms and mobile marketing services, the last three statements
focused on behaviour intention of the respondents.
Table-1: Demographic
Configurations
|
Total No. of Respondents (n) = 50 |
||
|
Gender |
Mail = 32 |
Female = 18 |
|
< = 40 yrs |
20 |
12 |
|
> 40 yrs |
12 |
6 |
|
Income < = 10,000/- per month 30 Respondents |
||
|
Income > 10,000/- per month 20 Respondents |
||
Table-2: Monthly Income
|
Hypothesis : H01 |
||||
|
|
Z Value |
5% |
1% |
Result |
|
Ho1.1 |
-0.02182 |
1.96 |
2.576 |
Not Rejected |
|
Ho1.2 |
-0.03346 |
1.96 |
2.576 |
|
|
Ho1.3 |
-0.05521 |
1.96 |
2.576 |
|
|
Ho1.4 |
-0.07058 |
1.96 |
2.576 |
|
|
Ho1.5 |
-0.06386 |
1.96 |
2.576 |
|
|
Ho1.6 |
0 |
1.96 |
2.576 |
|
|
Ho1.7 |
-0.10017 |
1.96 |
2.576 |
|
|
Ho1.8 |
-0.00797 |
1.96 |
2.576 |
|
|
Ho1.9 |
-0.02905 |
1.96 |
2.576 |
|
|
Ho1.10 |
-0.03907 |
1.96 |
2.576 |
|
|
Ho1.11 |
0.002808 |
1.96 |
2.576 |
|
|
Ho1.12 |
-0.04125 |
1.96 |
2.576 |
|
|
Ho1.13 |
0 |
1.96 |
2.576 |
|
|
Ho1.14 |
-0.01032 |
1.96 |
2.576 |
|
|
Ho1.15 |
-0.02487 |
1.96 |
2.576 |
|
|
Ho1.16 |
0.053921 |
1.96 |
2.576 |
|
|
Ho1.17 |
-0.03779 |
1.96 |
2.576 |
|
|
Ho1.18 |
0 |
1.96 |
2.576 |
|
|
Ho1.19 |
-0.01601 |
1.96 |
2.576 |
|
|
Ho1.20 |
-0.02967 |
1.96 |
2.576 |
|
|
Ho1.21 |
-0.05549 |
1.96 |
2.576 |
|
Table-3: Gender-wise
Perception
|
Hypothesis : H02 |
||||
|
|
Z Value |
5% |
1% |
Result |
|
Ho1.1 |
0.034777 |
1.96 |
2.576 |
Not Rejected |
|
Ho1.2 |
0.036201 |
1.96 |
2.576 |
|
|
Ho1.3 |
-0.01175 |
1.96 |
2.576 |
|
|
Ho1.4 |
-0.00578 |
1.96 |
2.576 |
|
|
Ho1.5 |
0.051764 |
1.96 |
2.576 |
|
|
Ho1.6 |
0.054727 |
1.96 |
2.576 |
|
|
Ho1.7 |
0.080186 |
1.96 |
2.576 |
|
|
Ho1.8 |
-0.01886 |
1.96 |
2.576 |
|
|
Ho1.9 |
-0.04064 |
1.96 |
2.576 |
|
|
Ho1.10 |
0.059091 |
1.96 |
2.576 |
|
|
Ho1.11 |
-0.00365 |
1.96 |
2.576 |
|
|
Ho1.12 |
0.045334 |
1.96 |
2.576 |
|
|
Ho1.13 |
0.026718 |
1.96 |
2.576 |
|
|
Ho1.14 |
0.0346 |
1.96 |
2.576 |
|
|
Ho1.15 |
0.093075 |
1.96 |
2.576 |
|
|
Ho1.16 |
0.009454 |
1.96 |
2.576 |
|
|
Ho1.17 |
0.022329 |
1.96 |
2.576 |
|
|
Ho1.18 |
-0.02111 |
1.96 |
2.576 |
|
|
Ho1.19 |
0.014325 |
1.96 |
2.576 |
|
|
Ho1.20 |
0.01637 |
1.96 |
2.576 |
|
|
Ho1.21 |
0.00761 |
1.96 |
2.576 |
|
Both the hypotheses that were based on consumer
perception were accepted (Table 2 and Table 3, see Annexure). In line with Heinonen, and Strandvik (2003)
this study showed that mobile channels are perceived to be more personal than
traditional and email channels. This creates high expectations for the
relevance of marketing communication messages. Marketer's benefit from the
ability to personalize communication in digital channels, 66% of marketers have
noted that the main advantage of mobile marketing is its one-to-one
communication ability (Forrester Report 2001). The empirical results (n-50)
identify customers acceptance based on gender and level of income for the
mobile phone as an innovative medium for advertising content communication.
CONCLUSION:
With the emergence of high speed wireless network
technologies especially the web technology and the increasing market
penetration of mobile phone the global advertising industry's interest in using
this medium as a means of marketing communication is rising. However, in spite
of the increasing number of companies investing in mobile marketing campaigns,
there is, as yet, little research on this topic and the nature and implications
of this channel are not yet understood fully. In this study, mobile marketing
has been conceptualized as a single construct. However, within this there are
likely to be a variety of mobile Internet tools. Therefore, it is recommended
that future research provides specific examination of different advertising
tools.
REFERENCES:
·
Aaker, D. A. V. Kumar
and G.s. Day (2001). Marketing Research, 7th Ed. John Wiley and Sons, New York
2001.
·
Bauer. R.A. and S.A. Greyser
(1968). Advertising in America: The consumer View Boston: Harvard University.
·
DeZoysa, S. (2002). Mobile
Advertising Needs to Get Personal. Telecommunications International,
(February).
·
Houstin, F.S. and J.B. Gassenheimer (1987). Marketing and Exchange. Journal of
Current Issues and Research in Advertising, 51 3-18.
·
Kotelr, P. (2003). Marketing
Management. Upper Saddle River, New Jersy: person
Education.
·
Petty, R.D. (2003). Wireless Advertising Messaging:
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Marketing, 22(1), 71-82.
Received on 07.12.2011
Accepted on 08.02.2012
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Asian J. Management 3(1): Jan. – Mar. 2012 page 45-47