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Transcript of CCASBCM093.pdf - Christ College Irinjalakuda
“A STUDY ON THE EFFECTIVENESS OF INTERNET ADVERTISING ON
CONSUMER BEHAVIOUR WITH SPECIAL REFERENCE TO CHRIST
COLLEGE, IRINJALAKUDA STUDENTS”
Project Report submitted to
UNIVERSITY OF CALICUT
In partial fulfillment of the requirement for the award of the degree of
BACHELOR OF COMMERCE
Submitted by
JEEVAN THOMAS
(CCASBCM093)
Under the supervision of
Ms. VIJAYA E.S
DEPARTMENT OF COMMERCE
CHRIST COLLEGE (AUTONOMOUS), IRINJALAKUDA
MARCH 2021
CHRIST COLLEGE (AUTONOMOUS), IRINJALAKUDA
CALICUT UNIVERSITY
DEPARTMENT OF COMMERCE
CERTIFICATE
This is to certify that the project report entitled “A STUDY ON THE EFFECTIVENESS
OF INTERNET ADVERTISING ON CONSUMER BEHAVIOUR WITH SPECIAL
REFERENCE TO CHRIST COLLEGE, IRINJALAKUDA STUDENTS” is a bonafide
record of project done by JEEVAN THOMAS, Reg. No. CCASBCM093, under my
guidance and supervision in partial fulfillment of the requirement for the award of the degree
of BACHELOR OF COMMERCE and it has not previously formed the basis for any Degree,
Diploma or Associateship or Fellowship.
Prof. K.J. JOSEPH Ms. VIJAYA E.S
Co-ordinator Project Guide
DECLARATION
I, JEEVAN THOMAS, hereby declare that the project work entitled “A STUDY ON THE
EFFECTIVENESS OF INTERNET ADVERTISING ON CONSUMER BEHAVIOUR
WITH SPECIAL REFERENCE TO CHRIST COLLEGE, IRINJALAKUDA STUDENTS”
is a record of independent and bonafide project work carried out by me under the supervision
and guidance of Ms. Vijaya E.S, Department of Commerce, Christ College, Irinjalakuda.
The information and data given in the report is authentic to the best of my knowledge. The
report has not been previously submitted for the award of any Degree, Diploma,
Associateship or other similar title of any other university or institute.
Place: Irinjalakuda JEEVAN THOMAS
Date: CCASBCM093
ACKNOWLEDGEMENT
I would like to take the opportunity to express my preferred thanks and gratitude to all people
who have helped me with sound advice and able guidance.
Above all, I express my eternal gratitude to the Lord Almighty under whose divine guidance;
I have been able to complete this work successfully.
I would like to express my sincere obligation to Rev. Dr. Jolly Andrews, Principal-in-Charge,
Christ College, Irinjalakuda for providing various facilities.
I am thankful to Prof. K.J Joseph, Co-ordinator of the Department, for providing proper help
and encouragement in the preparation of this report.
I am thankful to my class teacher, Prof. Lipin Raj, for providing proper help and
encouragement in the preparation of this report.
I express my sincere gratitude to Ms. Vijaya E.S, whose guidance and support throughout the
training period helped me to complete this work successfully.
I would like to express my preferred gratitude to all the faculties of the Department for their
interest and cooperation in this regard.
I extend my hearty gratitude to the librarian and other library staffs of my college for their
wholehearted cooperation.
I express my sincere thanks to my friends and family for their support in completing this
report successfully.
TABLE OF CONTENTS
CHAPTER NO: CONTENTS PAGE NO:
LIST OF TABLES
LIST OF FIGURES
CHAPTER 1 INTRODUCTION 1-5
CHAPTER 2 REVIEW OF LITERATURE 6-9
CHAPTER 3 THEORETICAL FRAMEWORK 10-13
CHAPTER 4 DATA ANALYSIS AND
INTERPRETATION
14-34
CHAPTER 5 FINDINGS, SUGGESTIONS AND
CONCLUSION
35-37
BIBLIOGRAPHY
APPENDIX
LIST OF TABLES
TABLE NO: TITLE PAGE NO:
4.1 Table showing Distribution of the respondents
by year of study
15
4.2 Table showing Distribution of the respondents
by age
16
4.3 Table showing Gender distribution of the
respondents
17
4.4 Table showing Awareness of internet
advertising
18
4.5 Table showing Hours spent on internet daily 19
4.6 Table showing Respondents paying attention
to the internet advertisements
20
4.7 Table showing Attitude of respondents
towards advertisements
21
4.8 Table showing Interference of online
advertisements during other online activities
22
4.9 Table showing Influence of internet
advertisements on consumer buying behavior
23
4.10 Table showing What the respondents mostly
use the internet for
24
4.11 Table showing Most time spent on various
modes of advertising
25
4.12 Table showing Watching the TV commercials
during commercial break
26
4.13 Table showing Change of channel during
commercial breaks
27
4.14 Table showing Respondents checking/looking
for an online advert
28
4.15 Table showing Ad recall 29
4.16 Table showing Duration of page viewing is a
strong determinant of the ability to recall
banner ads
30
4.17 Table showing Animation content and shape
of the banner Ad helps in Ad recall
31
4.18 Table showing Mode of advertising
influencing intention to buy product the most
32
4.19 Table showing Effectiveness of internet Ads
on actual purchase decision
33
4.20 Table showing Effect of repeated advertising
on consumer behaviour
34
LIST OF FIGURES
FIGURE NO: TITLE PAGE NO:
4.1 Figure showing Distribution of the
respondents by year of study
15
4.2 Figure showing Distribution of the
respondents by age
16
4.3 Figure showing Gender distribution of the
respondents
17
4.4 Figure showing Awareness of internet
advertising
18
4.5 Figure showing Hours spent on internet daily 19
4.6 Figure showing Respondents paying attention
to the internet advertisements
20
4.7 Figure showing Attitude of respondents
towards internet advertising
21
4.8 Figure showing Interference of online
advertisements during other online activities
22
4.9 Figure showing Influence of internet
advertisements on consumer buying behavior
23
4.10 Figure showing What the respondents mostly
use the internet for
24
4.11 Figure showing Most time spent on various
modes of advertising
25
4.12 Figure showing Watching the TV
commercials during commercial break
26
4.13 Figure showing Change of channel during
commercial breaks
27
4.14 Figure showing Respondents
checking/looking for an online advert
28
4.15 Figure showing Ad recall 29
4.16 Figure showing Duration of page viewing is a
strong determinant of the ability to recall
banner ads
30
4.17 Figure showing Animation content and shape
of the banner Ad helps in Ad recall
31
4.18 Figure showing Mode of advertising
influencing intention to buy product the most
32
4.19 Figure showing Effectiveness of internet Ads
on actual purchase decision
33
4.20 Figure showing Effect of repeated advertising
on consumer behavior
34
- 1 -
1.1 Introduction
In a competitive market, it is important for advertising managers to grab the
consumers attention through advertisements and sales promotion. A sizable
marketing budget is spent on advertising. The trend of using digital media
platforms for advertising is fast growing. This study intends to explore the
importance of internet advertising on different consumer behaviour stages.
The consumer expectations of information from various media such as TV,
radio, newspapers, magazines and the internet are entirely different. The
characteristics of different media and its immediate and long-term effects on
consumers are also varied. For instance, TV allows high quality audio-visual
content that is more suitable for product categories, which require physical
demonstration. Radio offers audio content and is most suitable for businesses
catering to the local markets. Internet had grown tremendously in both its
applications and number of users due to its unique characteristics of flexibility,
interactivity and personalization. It has been a very useful tool of
communication, entertainment, education and electronic trade. Many
companies have turned to the internet to advertise their products and services
and the internet is deemed to be the most significant direct marketing channel
for the global marketplace. Companies are pouring billions of dollars into
internet advertising to obtain greater return on investment on ads. The internet
has given consumers more control in accessing more information on products
and services. There are several factors that contribute to consumers pull for
online content. Now consumers are able to shop from companies around the
world, and it has reduced the time and effort they spend on shopping.
1.2 Statement of the problem
Internet Advertising is a very important tool used to stimulate consumer
behaviours by ways of getting them informed or by reminding them about a
product but it must persuade them to purchase the products. As such, it becomes
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very important in marketing. In addition, the use of social media helps the
companies to promote the products, build relationship with consumers and
understand the consumer’s needs. Ambrose and Catherine (2013) did a
study/research on social media and entrepreneurship growth and it was revealed
that social media tools play various roles to different SMEs and that the tools
could be incorporated into different operational roles in the business. A lot of
studies have been done on online advertising and less on online advertising and
its effects on consumer behaviour. Therefore, this study sought to address this
knowledge gap by focusing on establishing the effectiveness of online
advertising on consumer behaviour.
1.3 Significance of the study
Government plays a crucial role in determining the content that the public gains
access to in the internet, therefore the findings from this study will encourage
government organizations to come up with policies that will encourage the use
of social media marketing. This research will, act as a reference to future
academic studies hence provide more information on online marketing and
consumer decision. The study will also add more knowledge to existing
information. Organizations will benefit from findings from this study because
they will be able to come up with online strategies, they can use to develop
online advertising companies to attract new and existing consumers.
1.4 Objectives of the study
The general objective of the study is to find out the effectiveness of internet
advertising on consumer behaviour. Specific objectives are as follows:
1.4.1 To establish the effect of online advertising on reach and creation of
awareness
1.4.2 Establish the reliability of internet advertising through recall.
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1.4.3 Determine the relationship between internet advertising and purchase
decision.
1.5 Research Design
1.5.1 Nature of study
This study is descriptive in nature. The study examines the behaviour of certain
students of a college towards internet advertising.
1.5.2 Nature of data
The data collected for this study is primary data.
1.5.3 Sources of data
There are two sources of data, primary data and secondary data. Here,
quantitative primary data sources like questionnaires are used. Secondary
sources include web sites, journals, textbooks of different authors etc.
1.6 Sample design
1.6.1 Nature of Population
The study is conducted on consumer behaviour or reaction towards internet
advertising among 50 students of Christ College, Irinjalakuda.
1.6.2 Sample unit
Sample unit is a group or sub group that is obtained from the population that a
researcher wishes to study. The sample of this study comprise of students in the
various departments of the college.
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1.6.3 Method of sampling
The method of sampling used is convenience sampling. It is a type of non-
probability sampling that involves the sample being drawn from that part of
population that is close to hand.
1.6.4 Size of sample
50 respondents from Christ college, Irinjalakuda were taken into consideration
to constitute the size for the study.
1.7 Tools for analysis
Questionnaire were created in order to receive the necessary response required
to achieve the research objective. This was done by issuing 20 questionnaires
to the respondents. statistical and analytical tools were used such as: tables,
graphs and percentages.
1.8 Limitations of the study
Consumers have an attitude and the type of attitude influences their mental
position for certain matter. Also, different group of consumers have varied
attitude towards the adverts and this also depend on the demography of the
clients by age and lifestyle. Other issues of privacy and internet connectivity
also influence the same. The study was also confined to 50 students and
therefore the results cannot be generalized.
1.9 Chapterization
Chapter 1: Introduction – This chapter introduces the background to the
research topic, objectives, scope, methodology adopted and limitation of study.
- 5 -
Chapter 2: Review of Literature – It reveals the review of literature from
various sources for a detailed understanding of the research topic.
Chapter 3: Theoretical Framework – It is the structure that can hold or support
a theory of a research study.
Chapter 4: Data analysis and Interpretation – This chapter includes data
analysis and interpretation.
Chapter 5: Findings, Suggestions and Conclusion – It is a conclusive chapter
and it includes findings, suggestions and conclusions regarding the study.
- 6 -
2.1 Introduction
This chapter provides, through selective reference to some of the literature, a
clearer understanding of Internet advertising concept and outlines previous
research findings on the effectiveness of internet advertising based on measures
of advertising effectiveness.
2.2 Empirical literature
Aaker and Hagerty (1986), It has been suggested that ads use positive affect to
make consumers like the ad and then buy the product, and negative affect to
evoke an uncomfortable state that makes consumers want the “solution” offered
by the advertiser. Unfortunately, there are no guarantees that what the consumer
actually experiences will be the affective response the advertiser intended to
create. Research has shown that this kind of mismatch between advertiser
intentions and consumer response occurs all too often.
Todd (1997), Measuring customer behaviour is a crucial part of any business.
Knowing what the consumer wants and how he acts is vital in terms of product
design, and marketing. Assessment of consumer behaviour in specific situations,
using observational and physiological methods, is becoming increasingly
important in understanding conscious and unconscious consumer behaviour. An
increased understanding of consumer behaviour may result in the development
of improved consumer products and in more healthy dietary patterns. A growing
number of techniques is available to assist researchers in measuring various
aspects of consumer behaviour such as walking patterns, product selection, meal
composition, and eating/drinking. Due to advances in digital video, sensor
technology and computer speed, complex measurements of behaviour and
physiology are now possible. Integration of these techniques allows multimodal
measurements. With the growing number of techniques, the challenge for the
researcher to choose the right solution becomes larger.
- 7 -
Wolhandler (1999), As consumers experience and respond to stimuli around
them, emotions arise. Their reactions manifest themselves as physiological
changes they experience as feelings. Likewise, as people react to stimuli
online—for example, to an online advertisement—they have emotional
responses that are directly proportional to their reactions to these stimuli. On the
other hand, when customers repeatedly experience the same stimuli, they may
not cause any emotional response. People become conditioned to ignore the ever-
present ads on Web sites, which is called ad blindness.
Thorson (2000), Consumer behaviour splits between loyalty and alienation
depending on how well the product lives up to its advertised benefits. Corporate
behaviour – such as scandals or charity work – can also affect alienation and
loyalty responses. Once the consumer makes this choice, advertising and
promotion are not likely to undo that decision. The Cannon-Bard Theory that
Walter Cannon and Philip Bard advocated suggests human beings feel emotions
first, and then act upon them. When customers visit a Web site, the ads they
encounter evoke an emotional response—before they even decide what their next
step should be. If ads don’t trigger customers’ emotions, they may not take any
action in response.
In terms of consumer responses in the form of liking online ads, researchers such
as Goldsmith and Lafferty (2002) and Metha (2000) have found that a more
favourable attitude towards ads can lead to a higher ability to recall ads.
Goldsmith and Lafferty (2002) found a significant relationship between positive
responses to web sites and the likelihood of recall the brands advertised on the
web. The authors reported that “In general, research suggests that those
consumers who have a positive attitude toward an ad are more able to recall than
those with a negative attitude (p: 320). Metha (2000) made a similar conclusion
but the study was based on print advertising performance.
Dreze and Hussherr (2003), also examined the effectiveness of ad characteristics
on the ability to recall ad. Animation content, the shape of the banner ad, and
frequency of the ad (repetition) leads to higher advertising recall but not the size
- 8 -
of the banner. In addition, the authors reported that “a banner’s message
influences both aided advertising recall and brand recognition. This indicates that
what an ad says is more important than how it says it” (p: 21). In contrast, Yoon
(2003) found that banner image is more significantly effective than text to assess
consumers’ preferences toward online ads.
Dreze and Hussherr (2003), Click-through rate is a widely used measure for
assessing the effectiveness of banner advertising, which is the average number
of times a viewer clicks on a pop-up ad and is then exposed to the target web
site. As reported by Cho (2003), “the banner advertisement click-through is
believed to be the most common way to draw consumers into a target site and
engage them with a brand or product.
Thompson (2005), said that e-marketing has a huge target audience, growing e-
technology has a high potential to cut-down the cost and increase revenue e-
commerce, carry day today activities by having low cost and shrinking the time
for both buyers and sellers. Dealing with different business sectors and
departments it unites them at one platform, through internet companies all
departments deal with customers at a time. As compare to the old traditional
marketing e-marketers has low cost to bare. Through this if you want to buy
products from different countries you can get them on your home place.
Khan and Mahapatra (2009) said that nowadays living in global village
technology plays a dynamic role in enlightening the quality of services provided
by the business elements. Internet technology has widely spread over the world.
They cut-down the borders and unite them on one global platform. E-marketing
cut down the excessive cost which we have to pay if we are physically doing
that. Living in the 21st century people research a lot before buying or totally
relay on whatever the company and marketer said. It also cut down the cost of
having a physical place for their company to sell their product. Through e-
marketing your target market highly increase and you have to deal all of them at
a time. Nowadays all top-level business relay on e-marketing rather than
traditional marketing and selling method. Like old traditional advertisement,
- 9 -
companies now have to pay the cost only if the customer really wants to buy that
product. It reduces customers and seller time as well.
Peter & Robin (2015), Electronic transaction of goods and services are new in
the marketing field. People nowadays because of e-marketing research very
keenly before buying those products or services. As we search through online,
we get many options at a time, without any hard work and less time consuming.
You can survey competitors’ products together at a time. They easily choose the
best one between different companies without paying a single amount. Number
of companies nowadays influencing their customers to buy their product from
the company’s official websites. Almost nowadays young people from 16 to 26
years old attracted towards e-marketing as compare to elders, because elder
people still believe in traditional shopping rather than the e-marketing. But those
elders who do jobs and other professional activities they don’t have time to
survey the market for the product, so those professional also attracted towards e-
marketing. Developed countries highly prefer e-marketing because they highly
do massive research before buying anything so that’s why the online marketing
help to analyse the best product or services for themselves.
- 10 -
3.1 Concept of internet advertising
Internet advertising is a form of promotion that uses the Internet and World Wide
Web for the expressed purpose of delivering marketing messages to attract
customers. Examples of online advertising include contextual ads on search
engine results pages, banner ads, Rich Media Ads, Social network advertising,
online classified advertising, advertising networks and e-mail marketing,
including e-mail spam. Online video directories for brands are a good example
of interactive advertising. These directories complement television advertising
and allow the viewer to view the commercials of a number of brands. If the
advertiser has opted for a response feature, the viewer may then choose to visit
the brand’s website, or interact with the advertiser through other touch points
such as email, chat or phone. Response to brand communication is instantaneous,
and conversion to business is very high. This is because in contrast to
conventional forms of interruptive advertising, the viewer has actually chosen to
see the commercial.
Consumer can gather information about products and services, communicate
with other consumers and firms for related products and services, and sometimes
complete transactions. As the Internet session is a self-selected environment of
the consumer, the promotion message will be more effective. Internet advertising
is also capable of providing an experiential environment to the consumer through
virtual reality interfaces thus allowing the consumer to experience some of the
features of products before making the purchase decision. Consumer can provide
feedback content about the product, to the firm and to other consumers. A
positive feedback becomes a good promotion for the marketer. A marketer can
even exploit a negative feedback by solving the consumer’s problem and
showing the commitment of the organization to satisfying consumer needs.
- 11 -
3.2 The concept of consumer behaviour
The term "consumer behaviour" refers to actions and decisions that factor into a
customer's purchase. Researchers, businesses and marketers study consumer
behaviour to understand what influences a consumer's shopping preferences and
selection of products and services. Multiple factors affect consumer behaviour,
among them economic status, beliefs and values, culture, personality, age and
education. Findings on consumer behaviour are used to develop methods and
products that will boost company performance and sales.
Customers are becoming more powerful, more knowledgeable and more
sophisticated, and research into modern consumer behaviour is increasingly
important for businesses accordingly. Advertising to attract consumers,
providing better environment, product, services and policies is important in
improving today’s consumer experience to support businesses in retaining
customers. This study seeks to determine and explain the effectiveness of internet
advertising in stimulating consumer response.
3.3 Measures of customer satisfaction
In measuring customer satisfaction certain indicators has to be considered.
Measures like repeat purchase, loyalty, positive word of mouth, retention and
increased long-term profitability are used. The negative theory of customer
satisfaction states that any variation in performance from expectation will disrupt
the individual and produce negative energy. This theory asserts that if customers’
expectations are strategy held, consumers will respond negatively to any
disconfirmation and dissatisfaction is likely to occur if performance is less than
expectations but if performance is more than expectations, satisfaction will
occur.
3.3.1 Customer satisfaction
The major aim for establishing a company is to make profit through products and
services, purchases by consumers. Products and services are being developed by
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firms and they map out appropriate strategies in offering the products and
services to targeted customers. The targeted customers get convinced and make
purchase for use and to satisfy their needs. When targeted customers are satisfied
with the product and services, they keep on making purchases. Customer
satisfaction can be said to be a process or an outcome. The rate at which firms’
products are purchased by consumers and quality online practises result to
customer satisfaction retention, huge patronage and loyalty to organization once
a customer is satisfied, he/she is likely to remain loyal to the company and will
repeat purchase.
Through satisfaction of customers companies achieve their goals. Satisfaction is
said to be a person’s feeling of pleasure or disappointment which is as a result of
comparison of a product’s perceived performance in relation with his or her
expectations. Therefore, customer satisfaction can be defined as a result of
cognitive and effective evaluation, in which some comparisons are made
between the actual compared standard and if the perceived performance is more
than accepted the customer will be satisfied. Customers will be in neutral stage
if perceived expectations met performance. Expectations can be formed by
customers from their past experiences, friends, associate’s advice, marketers,
competitors’ information and promises. Expectations are determined by
customers’ needs, total value and total cost. Choosing a product or service is
among the stages customers go through. Buyer’s characteristics influence its
decision, such as culture, social, personal, psychological factors. Information
search is the key to consumer’s decision-making process which can be for both
internal and external information.
Consumers continue to search for information because it is a risk in order to meet
up the uncertainties of potential positive or negative consequences. At times
customers passes through all the stages or they may skip some. But customers
are looking for value in the product that they are buying. Customers seek for info
about the product they want to buy to check if it is in line with their expectations
and if the product or service is of essential importance, they check these through
- 13 -
surveys customer discussions. Customer orientation is also important and need
to be measured constantly. Customer being the “life blood” of every business
and at the same time the reason while business is established need satisfaction
but at the same time it has been favourable attributes such as repeat purchase
behaviour and positive word of mouth.
3.3.2 Theoretical foundations and operational framework
Instant gratification mathematical theory was originated by Robertz in 1956. He
said that two things are responsible for the successful theory: first, the discount
function should be on the difference between the current time and the future time
at which discounted reward is consumed. Second, the discount function should
be non-exponential. He went further to state that empirical discount rate reduces
with time horizon. Today’s generation is nicknamed ‘microwave generation’
because they are used to getting things so fast. Because of internet evolution and
technology there is little to no patience in people. Instant gratification theory saw
the fast pace environment in which we live that requires instant action and how
things happen at once and quickly. By implication, online advertising has impact
on consumers as the use of internet to advertise makes it faster, efficient and
effective.
- 14 -
4.1 Introduction
This chapter presents analysis and findings of the study as set out in the research
methodology. The results were presented on the effectiveness of internet
advertising on consumer behaviour in the case of Christ college students. The
study objectives were; to determine the effectiveness of internet advertising on
reach and creation of awareness; to establish the reliability of internet advertising
through recall; and to determine the relationship between internet advertising and
purchase decision. The chapter covers the demographic information, and the
findings based on the objectives. The findings were then presented in tables,
graphs and charts as appropriate with explanations being given thereafter.
- 15 -
Table 4.1
Table showing Distribution of the respondents by year of study
Year of study Respondents Percentage
First year 3 6
Second year 5 10
Third year 42 84
Total 50 100
Source: Primary data
As shown in table 4.1, the study sample was representative of all the years of
study with the third-year students forming the highest proportion of the sample.
Figure 4.1
Figure showing Distribution of the respondents by year of study
14
20
66
first year second year third year
- 16 -
Table 4.2
Table showing Distribution of the respondents by age
Age bracket Respondents Percentage
18-20 years 41 82
21-23 years 9 18
Total 50 100
Source: Primary data
The findings indicate that majority of the respondents were aged 18-20 years.
Figure 4.2
Figure showing Distribution of the respondents by age
82
18
18-20 21-23
- 17 -
Table 4.3 Table showing Gender distribution of the respondents
Gender Respondents Percentage
Male 36 72
Female 14 28
Total 50 100
Source: Primary data
According to Table 4.3, the respondents consisted of significantly more males
than females.
Figure 4.3
Figure showing Gender distribution of the respondents
72
28
Male female
- 18 -
Table 4.4
Table showing Awareness of internet advertising
Awareness Respondents Percentage
Fully aware 28 56
Partially aware 22 44
Not at all aware 0 0
Total 50 100
Source: Primary data
From table 4.4 findings indicate that every single student is aware of internet
advertising. It is no surprise considering the prominence of internet in today’s
world.
Figure 4.4
Figure showing Awareness of internet advertising
56
44
Fully aware Partially aware
- 19 -
Table 4.5
Table showing Hours spent on internet daily
Hours spent Respondents Percentage
<1hr 4 8
1hr to 3hrs 16 32
3hrs to 4hrs 17 34
4hrs to 5hrs 5 10
>5hrs 8 16
Total 50 100
Source: Primary data
The above graph shows how many hours spend by the respondents daily on the
internet. We can see that 34 percentage spend around 3-4 hrs and 32 percentage
spend around 1-3 hrs and 10 percentage spend around 4-5 hrs respectively.
Figure 4.5
Figure showing Hours spent on internet daily
8
32
34
10
16
<1hr 1hr to 3hrs 3hrs to 4hrs 4hrs to 5hrs >5hrs
- 20 -
Table 4.6
Table showing Respondents paying attention to the internet
advertisements
Response Respondents Percentage
Yes 28 56
Sometimes 19 38
No 3 6
Total 50 100
Source: Primary data
The table shows that more people pay attention to the internet ads. Only a small
proportion of respondents do not pay attention to internet advertisements at all.
Figure 4.6
Figure showing Respondents paying attention to the internet
advertisements
56
38
6
Yes Sometimes No
- 21 -
Table 4.7
Table showing Attitude of Respondents towards Advertisements
Attitude Respondents Percentage
Informative 15 30
Creates awareness 13 26
Entertaining 10 20
Irritating 4 8
Annoying 4 8
Waste of time 4 8
Total 50 100
Source: Primary data
As shown in Table 4.4, 30 percentage of the respondents indicated that
advertising was informative, with 26 percentage indicating it creates awareness.
3 percentage indicated that advertising was either irritating, annoying or a waste
of time. These findings mean that most of the respondents had a positive attitude
towards advertising and hence is a good indication for marketers.
Figure 4.7
Figure showing Attitude of respondents towards advertisements
30
26
20
8
88
Informative creates awareness Entertaining irritating Annoying Waste of time
- 22 -
Table 4.8 Table showing Interference of online advertisements during other online
activities
Response Respondents Percentage
Most of the time 17 34
Sometimes 31 62
Not really 2 4
Total 50 100
Source: Primary data
Based on Table 4.8, most respondents have conveyed that online advertisements
interfere during other online activities more often than not and this can lead to
annoyance. This is not a good sign for online advertising.
Figure 4.8
Figure showing Interference of online advertisements during other online
activities
17
31
2
Most of the time Sometimes Not really
- 23 -
Table 4.9
Table showing Influence of internet advertisements on consumer buying
behaviour
Degree of influence Respondents Percentage
Large influence 11 22
Medium influence 26 52
Not sure 13 26
Total 50 100
Source: Primary data
As per the table, most of the respondents indicated that advertising only had a
medium influence. The other two cases are fairly similar but there are a few more
respondents who are not sure compared to those who think it is largely
influential. So, the conclusion is that internet advertisements have a good but not
great degree of influence on consumer buying behaviour.
Figure 4.9
Figure showing Influence of internet advertisements on consumer buying
behaviour
22
52
26
Large influence Medium influence Nots sure
- 24 -
Table 4.10
Table showing What the respondents mostly use the internet for
Particulars Respondents Percentage
Chatting and social networking
22 44
Email 6 12
Information 17 34
E-commerce 2 4
Downloading 3 6
Total 50 100
Source: Primary data
As shown in table 4.10, 11 percentage of the respondents used internet for email,
35 percentage for information and 45 percentage for chatting and social
networking, indicating that communication has been the fundamental value of
the internet to the consumers. There was a higher chance of interaction with
various online ads through chatting and social networking which influence
consumer buying behaviours as reflected by the diverse usage internet.
Figure 4.10
Figure showing What the respondents mostly use the internet for
44
12
34
4 305
101520253035404550
Chatting and socialnetworking
Email Information E-Commerce Downloading
Column3
- 25 -
Table 4.11
Table showing Most time spent on various modes of advertising
Modes Respondents Percentage
TV, Movies 18 36
Newspaper, Mags 4 8
Internet 28 56
Total 50 100
Source: Primary data
According to the findings in Table 4.11, a person spends more time on the
internet during his free time than that of TV and movies, radio and print medium.
Hence, the exposure of internet to an individual is at least 20 percentage more
than the reach of other medium.
Figure 4.11
Figure showing Most time spent on various modes of advertising
36
8
56
TV, Movies Newspapers,Mag Internet
- 26 -
Table 4.12 Table showing Watching the TV commercials during commercial break
Response Respondents Percentage
Sometimes 23 46
Most often 16 32
Mostly not 11 22
Total 50 100
Source: Primary data
According to the findings, the majority of the respondents attested to watching
the TV/ commercials during commercial break. This implies that for television
commercials, around 32 percentage of consumers had a positive perception
towards advertising on TV in comparison to the 22 percentage that didn’t.
Figure 4.12
Figure showing Watching the TV commercials during commercial break
46
32
22
Sometimes Most often Mostly not
- 27 -
Table 4.13
Table showing Change of channel during commercial breaks
Particulars Respondents Percentage
Never 12 24
Sometimes 9 18
Depends on ad 17 34
Often 6 12
Every time 6 12
Total 50 100
Source: Primary data
Table 4.13 shows that the degree of attractiveness of the advert and its relevance
to the respondents determined their attention to the advert. The viewers would
see the advertisement if the ad is attractive and appealing.
Figure 4.13
Figure showing Change of channel during commercial breaks
24
18
34
12
12
Never Sometimes Depends on Ad Often Everytime
- 28 -
Table 4.14
Table showing Respondents checking/looking for an online advert
Particulars Respondents Percentage
Yes 11 22
No 39 78
Total 50 100
Source: Primary data
In case of online advertising, majority of consumers ignored the advert
completely while only 22 percentage indicated that they would check an online
advert. Therefore, even though the reach of internet is much higher than that of
other modes, its ability to attract consumers for awareness creation is very low.
Figure 4.14
Figure showing Respondents checking/looking for an online advert
21
79
Yes No
- 29 -
Table 4.15
Table showing Ad recall
Medium Recall
Respondents Percentage
TV Yes 42 84
No 8 16
Online ads Yes 27 54
No 23 46
Total 50 100
Source: Primary data
This is for the most recent ads that they had seen consciously or unconsciously.
In case of TV ads, 84 percentage remembered their most recent ads which is a
very good score in terms of creating awareness. In case of Online ads, only 54
percentage could remember their last interaction with the online ads. Therefore,
one can easily make out the reliability of online and TV ads recall values. The
study found out that TV ads are much reliable than internet advertising and other
forms of advertising.
Figure 4.15
Figure showing Ad recall
84
54
16
46
0
10
20
30
40
50
60
70
80
90
Tv Online Ads
Yes No
- 30 -
Table 4.16
Table showing Duration of page viewing is a strong determinant of the
ability to recall banner ads
Particulars Respondents Percentage
To no extent 3 6
To little extent 12 24
To moderate extent 19 38
To a great extent 11 22
To a very great extent 5 10
Total 100 100
Source: Primary data
According to Table 4.16, majority of the respondents agree to moderate extent
that the duration of page viewing helps to recall banner ads. Only 3 percentage
thinks that it helps to no extent in Ad recall.
Figure 4.16
Figure showing Duration of page viewing is a strong determinant of the
ability to recall Ads
3
12
19
11
5
To no extent To a little extent To a moderate extent
To a great extent To a very great extent
- 31 -
Table 4.17
Table showing Animation content and shape of the banner Ad helps in Ad
recall
Particulars Respondents Percentage
To no extent 0 0
To little extent 8 16
To moderate extent 24 44
To a great extent 13 26
To a very great extent 5 10
Total 50 100
Source: Primary data
Based on the table 4.17, majority of the respondents agree that the animation
content and shape of the banner Ad helps in Ad recall to a moderate extent and
none of the respondents think it has no impact.
Figure 4.17
Figure showing Animation content and shape of the banner Ad helps in Ad
recall
0
8
24
13
5
To no extent To a little extent To a moderate extent
To a great extent To a very great extent
- 32 -
Table 4.18
Table showing Mode of advertising influencing intention to buy product
Modes Respondents Percentage
Magazines and newspaper 4 8
Friends and relatives 40 40
TV Commercial 15 30
Online advertisements 6 12
Social Media – Blogs, forums, Social Networking sites
5 10
Total 50 100
Source: Primary data
Based on Table 4.18 above, the highest number of students, 40 percentage of the
respondents were influenced to buy a product based on information provided by
friends and relatives, with TV commercials being second. Online advertisements
were one of the least in influencing their decision at 12 percentage. This depicts
that traditional form of advertising has an edge over internet advertising in terms
of consumer preference to mode of advertising.
Figure 4.18
Figure showing Mode of advertising influencing intention to buy product
8
40
30
12
10
Magazines and newspapers Friends and relatives TV Commercial Online Ads Social media
- 33 -
Table 4.19 Table showing Effectiveness of internet ads in actual purchase decision
Particulars Respondents Percentage
Definitely 33 66
To an extent 15 30
Not much 2 4
Total 50 100
Source: Primary data
Based on table 4.19, 66 percentage of the respondents purchased a product based
on information provided by internet advertisements. 4 percentage respondents
weren’t much influenced by internet advertising and didn’t make any actual
purchases after advertising. This indicates that internet advertising is a major
influencer behind purchase decision making.
Figure 4.19
Figure showing Effectiveness of internet ads in actual purchase decision
66
30
4
Definitely To an extent Not much
- 34 -
Table 4.20 Table showing Effect of repeated advertising on consumer behaviour
Particulars Respondents Percentage
To an extent 6 12
To little extent 26 52
To moderate extent 13 26
To a great extent 5 10
Total 50 100
Source: Primary data
Based on table 4.20, 52 percentage respondents agreed that repeated advertising
affect consumer behaviour to little extent at least, 26 percentage respondents
agreed that repeated advertising affect consumer behaviour to a moderate extent.
This shows that repeated advertising serves as a reminder to a consumers and
influences buying behaviour.
Figure 4.20
Figure showing Effect of repeated advertising on consumer behaviour
12
52
26
10
0
10
20
30
40
50
60
To an extent To little extent To moderate extent To a great extent
Particulars
- 35 -
5.1 Findings
• Majority of the respondents are male.
Less than half of the respondents are female.
• 82 percentage of the respondents are aged between 18-20 years.
• 18 percentage of the respondents are aged between 21-23 years.
• 54 percentage of the respondents are fully aware of internet advertising
• Majority of the respondents spend 3-4 hrs on the internet daily.
• 76 percentage of the respondents indicated that they found online
advertisements either informative, entertaining or that it creates
awareness.
• Majority of the respondents conveyed that online advertisements
sometimes interfere during their other online activities.
• 52 percentage of the respondents conveyed that internet advertisements
have a medium influence on consumer buying behaviour.
• Majority of the respondents indicated that they mostly use the internet for
chatting and social networking.
• Majority of the respondents mostly use internet in comparison to TV,
movies or newspaper/magazines.
• 32 percentage of the respondents most often watch TV commercials.
• Less than half of the respondents mostly do not watch TV commercials.
• 34 percentage of the respondents change the channel during TV
commercials depending on the advertisement.
• 84 percentage of the respondents could remember their most recent TV
advertisements.
• 54 percentage of the respondents could remember their most recent
internet advertisements.
• Majority of the respondents conveyed that duration of page viewing helps
to recall banner ads to a moderate extent.
- 36 -
• 40 percentage of the respondents’ purchase decision were mostly
influenced by the information provided by their family and relatives.
• 66 percentage of the respondents’ purchase decision was definitely
influenced by internet advertisements.
4 percentage of the respondents’ purchase decision wasn’t much
influenced by internet advertisements.
• 52 percentage of the respondents conveyed that repeated advertising has
an effect on consumer behaviour to little extent.
5.2 Suggestions
The study established that the reliability of internet advertising is low and
therefore recommends that the management of companies using internet
advertising should provide unique experience to its customers based on customer
analysis to deliver a personalized experience to the customers. The study also
found that internet advertising is effective in reach and creation of awareness and
recommends that the companies should invest more in internet advertising to
increase their market share and provide product information.
Finally, the study determined that there is a positive relationship between internet
advertising and consumer purchase decision and further recommends that
companies should conduct a market research on the different markets in various
countries to ensure that the internet advertising initiatives being implemented
suits the targeted markets to improve product purchases. This is because there
exist different contextual realities between different markets.
5.3 Conclusion
The objective of the study was to determine the effectiveness of internet
advertising on consumer behaviour using a sample of Christ college students.
Internet advertising was effective in providing higher reach and creation of
- 37 -
awareness. However, in spite of the diverse usage of internet and wide interaction
with various internet advertisements, fewer respondents were able to recall the
internet ads they had seen. This implies that the reliability of internet advertising
is quite low. The research established that TV advertising is more reliable than
internet advertising. The study concludes that internet advertising influenced
purchase decision of the customers to a moderate extent as only nearly half of
the respondents’ purchase decision were influenced. However, internet
advertising is a key determinant of purchase decision of the customers as they
consider it to be an interaction point between them and the company from which
they buy their products from. The study also concludes that internet advertising
has significant relationship with purchase decision of the consumers. The study
further concludes that internet advertising contributes most to the consumer
behaviour and that internet advertising is a significant factor in predicting the
consumer behaviour.
- 38 -
References
Alvin, J. S, Lisa R. K, and Ernst, R. B (2002), Intermedia Substitutability and
Market Demand by National Advertisers, (20:4)
Baltas, G., (2003), Determinants of Internet advertising effectiveness: An
empirical study. International Journal of Market Research, 45: 505-513.
Bhat, S., Bevans, M. and Sengupta, S., (2002), Measuring users’ web activity to
evaluate and enhance advertising effectiveness. Journal of Advertising, 31: 97-
106.
Danaher, P.J. and Mullarkey, G.W., (2003), Factors affecting online advertising
recall: A study of students. Journal of Advertising Research, 43: 252-267.
Dreze, X. and Hussherr, F.X., (2003), Internet advertising: Is anybody watching?
Journal of Interactive Marketing, 17: 8-23.
Edwards, J., (2005), Pharma formulates plans to move marketing from TV.
Brandweek, 46: 5.
Faber, R.J., Lee, M. and Nan, X., (2004), Advertising and the consumer
information environment online. American Behavioral Scientist, 48: 447-466.
Gong, W. and Maddox, L.M., (2003), Measuring web advertising effectiveness,
Journal of Advertising Research, 43: 34-49.
Kent W., Ian, F., (2010), The Essential Guide to New Media & Digital Marketing
Kotler, P., (2004), Marketing management, 11th International edition– Prentice-
Hall, pp 706.
Korgaonkar, P. and Wolin, L.D., (2002), Web usage, advertising, and shopping:
relationship patterns. Internet Research: Electronic Networking Applications and
Policy, 12: 191-204.
Koyuncu, C. and Lien, D., (2003), E-commerce and consumer’s purchasing
behaviour. Applied Economics, 35: 721-726.
Kurtz, D., (2010), Contemporary Marketing Mason, OH: South-Western
Cengage Learning.
- 39 -
Menon, S. and Soman, (2002), Managing the power of curiosity for effective
web advertising strategies. Journal of Advertising, 31: 1-14.
Metha, A., (2000), Advertising attitudes and advertising effectiveness. Journal
of Advertising Research, 40: 67-72.
Rodgers, S. and Thorson, E., (2000), The interactive advertising model: How
users perceive and process online ads. Journal of Interactive Advertising.
Schlosser, A.E., Shavitt, S. and Kanfer, A., (1999), Survey of Internet users’
attitudes towards Internet, Journal of Interactive Marketing, 13: 34-54.
Smith, S.M., (2002), Electronic commerce issues for consumers and marketers.
Todd P. A., (1997), Consumer reactions to electronic shopping on the
Wanjoga, E., (2002), Consumer attitudes towards online advertising in Nairobi,
Research Project Report.
Wolin, L.D. and Korgaonkar, P., (2003), Web advertising: gender differences in
beliefs, attitudes, and behaviour. Journal of Internet Research: Electronic
Networking Applications and Policy, 13: 375-385.
Wolhandler H., (1999), Real numbers behind Net Profits. (6th annual survey of
online commerce).
Yoon, S.J., (2003), An experimental approach to understanding banner
advertising effectiveness. Journal of Targeting, Measurement and Analysis for
Marketing,11:255-272.
Books
Advertising: Scientific Advertising by Claude Hopkins
Business Research Methods by A Damodaran
Websites
www.wikipedia.org.com
www.researchgate.net
- 40 -
QUESTIONNAIRE
1. Name:
2. Year of study: (I, II, III)
3. Age: (18-20, 21-23)
4. Gender: (Male, Female)
5. Are you aware of internet advertising?
(Fully aware, Partially aware, Not at all aware)
6. How many hours do you spent on the internet on a daily basis?
(<1 hr, 1 hr to 3hrs, 3 hrs to 4 hrs, 4 hrs to 5hrs, >5 hrs)
7. Do you pay attention to internet advertisements?
(Yes, Sometimes, No)
8. What do you think about internet advertising?
(Informative, creates awareness, entertaining, irritating,
annoying, waste of time)
9. Do online advertisements interfere you during other online
activities?
(Most of the time, sometimes, Not really)
10. Do internet advertisements influence your buying behaviour?
(Large influence, medium influence, not sure)
11. What do you mostly use the internet for?
(Chatting and social networking, Email, Information, E-
commerce, Downloading)
12. What mode of advertising do you spend most time on?
(TV/Movies, Newspaper/Magazines, Internet)
13. Do you watch TV commercials during commercial break?
(Sometimes, Most often, Mostly not)
14. Do you change the channel during commercial breaks?
(Never, Sometimes, Depends on Ad, Often, Every time)
- 41 -
15. Do you look for an online advert?
(Yes, No)
16. Do you Recall Ads?
TV – (Yes, No)
Online Ads – (Yes, No)
17. Is duration of page viewing a strong determinant of the ability to
recall ads?
(To an extent, To little extent, To moderate extent, To a great
extent, To a very great extent)
18. Does animation content and shape of the banner Ad help in Ad
recall?
(To no extent, To little extent, To a moderate extent, To a great
extent, To a very great extent)
19. What influences intention to buy product the most?
(Magazines and newspapers, Friends and relatives, TV
commercials, Online advertisements, Social media)
20. Does internet advertising affect your purchase decision?
(Definitely, To an extent, Not much)
21. Does repeated advertising have an effect on consumer behaviour?
(To an extent, To little extent, To moderate extent, To a great
extent)