Pranav Project Sem 4 Final
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Transcript of Pranav Project Sem 4 Final
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1.1 INDUSTRY PROFILE:
1.11 Electronic Industry
Indian Electronics industry dates back to the early 1960's. Electronics was one industry
initially restricted to the development and maintenance of fundamental communication
systems including radio-broadcasting, telephonic and telegraphic communication, and
augmentation of defense capabilities. Until 1984, the electronics Industry was primarily
government owned and then in 1980s witnessed a rapid growth of the electronics
industry due to sweeping economic changes, resulting in the liberalization and
globalization of the economy.
The economic transformation all over the world was motivated by two compelling
factors- the determination to boost economic growth, and to accelerate the development
of export-oriented industries, like the electronics industry. By 1991 in the country private
investments - both foreign and domestic were encouraged. The easing of foreign
investment norms, allowance of 100% foreign equity, reduction in custom tariffs, and
relicensing of several consumer electronic products had attracted remarkable amount of
foreign collaboration and investment.
The domestic Electronic industry also responded favorably to the policies of the
government. The initiatives of the electronics field to private sector enabled entrepreneurs
to establish the industries to meet demand in the market. Improvements in the Indian
Electronics industry have not been limited to a particular segment, but encompass all its
sectors. This pace made in the areas of commercial software, telecommunications,
electronics, instrumentation, positioning and networking systems, and defense. The result
therefore has been a significant trade growth that began in the late 1990's. The Indian
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Electronics Industry is a text for investors who consider India as a potential investment
opportunity.
Indian electronics companies had majorly benefited from the economic liberalization
policies of the 1980's, including the loosening of restrictions on technology and
component imports, de-licensing, foreign investment, and reduction of excise duties.
Output from electronics plants in India grew from Rs1.8 billion in FY 1970 to Rs8.1
billion in FY 1980 and to Rs123 billion in FY 1992. Most of the expansion took place in
the production of computers and consumer electronics. Indian Production of Computer
rose from 7,500 units in 1985 to 60,000 units in 1988 and to an estimated 200,000 units
in 1992. During this period, major advances were made in the domestic computer
industry that led to more sales.
Figure 1.1 – Share of Consumer Durables
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Like every other industrial sector in India, the Indian Electrical Industry too is slowly
emerging from out of its "protective cover". For far too long has Indian Industry
remained shackled and consequently inward looking. Over the past fifty years there was
no exposure to global players and competition, with the result that the Industry grew up
in a sheltered environment, dependent on the Government for everything, from licenses
to protection to tariffs. Each one of these interventions was aimed at securing protection
for oneself and ensuring growth of one’s own organization at the cost of industry and the
nation at large. Lack of global competition encouraged a "cost plus" approach, where
every conceivable cost increase was passed on to the customer. There was thus no
motivation to reduce costs.
The consumer durables market in India was estimated to be around US$ 5 billion in
2007-08.More than 7 million units of consumer durable appliances have been sold in the year 2006-07
with colour televisions (CTV) forming the bulk of the sales with 30 percent share of volumes.CTV,
refrigerators and Air-conditioners together constitute more than 60 per cent of the sales in terms of the
number of units sold. In the refrigerators market, the frost-free category has grown by 8.3
per cent while direct cool segment has grown by 9 per cent. Companies like LG,
Whirlpool and Samsung have registered double-digit growth in the direct cool
refrigerator market. In the case of washing machines, the semi-automatic category with a
higher base and fully-automatic categories have grown by 4 per cent to 526,000 units and
by8 per cent to 229,000 units, respectively. In the air-conditioners segment, the sales of window ACs
have grown by 32 per cent and that of split ACs by 97 per cent. Since the penetration
in the urban areas for these products is already quite high, the markets for both C-TV and
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refrigerators were shifting to the semi-urban and rural areas. The growth across product
categories in different segments is assessed in the following sections
As per the recent survey, the global electrical & electronics market is worth $1,038.8
billion, which is forecasted to grow to $ 1,216.8 billion at the end of the year 2008. If we
talk of electrical & electronics production statistics, the industry accounted for $1,025.8
billion in 2006, which is forecasted to reach $1,051.5 billion in future.
The consumer durables market is divided into two segments – consumer electronics, also
known as the brown goods (television, digital camera, audio-video systems, computers,
electronic accessories, etc) and consumer appliances or the white goods (air conditioners,
refrigerators, microwave ovens, other household appliances, etc.).
In its initial years, the sector relied greatly on media and advertising for consumer
penetration. Liberalization of markets in late 1990s saw the entry of global players like
Samsung and LG and a shift in focus towards product innovation. Accessibility to high-
end products was, however, low till mid 2000s. Last few years has seen high end and
aspiration products like air conditioners and High Definition TVs gain stronghold in the
market.
The industry size for consumer durables stands at Rs 350 billion (as on March 2012). The
sector rides and relies on the state of the country’s economy. With household incomes in
top 20 cities across India expected to grow at 10 percent annually over the next eight
years, and concepts of easy loans, equated monthly installment (EMI) charges,
availability of credit, etc., become commonplace, the Indian consumer is likely to spend
more on both utility and luxury consumer goods.
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The consumer durables sector is marked by stiff competition between market players to
launch newer models and versions of products, discounts and schemes. The key players
in the consumer durables sector are MNCs like LG, Samsung, Blue Star, Daikin, Hitachi,
Sony, etc. LG and Samsung account for the largest shares of the market, and it is
estimated that India’s share in their global revenues will double to 12 per cent in FY15
from 6 per cent in FY10 and similarly from 2.5 per cent to 5 per cent respectively.
Figure 1.2 – Share of Electronic goods in India
At the outset, it must be stated that the reduced domestic demand is at best a temporary
phenomenon. The power sector in India is bound to grow and this will undoubtedly boost
demand from the Utilities, quite apart from the industrial demand which will continue to
grow with increased industrial output. The poor financial health of the SEBs is however a
damper that cannot be wished away in the short term. This will continue to plague
corporate in the Electrical Industry, until the SEB restructuring and unbundling brings a
turnaround in the medium term.
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India’s consumer electronics devices market, defined as the addressable market for
computing devices, mobile handsets and AV products in 2009–10 is estimated to be US$
6.28 billion, indicating a growth of 18 per cent over the previous year. It is projected at
about US$29.4bn in 2011. This is expected to increase to US$52.6bn by 2015, driven by
rising incomes and growing affordability.
Spending on consumer electronics devices is projected to grow at an overall CAGR of 12
per cent through 2015, with the key segments including low-cost mobile handsets, colour
TVs, set-top boxes and notebook computers. Only nine out of 1,000 people in India own
a computer, one-fifth of the level in China, while Indian handset population penetration is
about 57 per cent.
Analysis and data of the domestic electronics manufacturing sector. We assess the
regulatory and business operational issues facing manufacturers - including openness to
foreign investment, infrastructure, IP issues and the global demand context - and their
impact on the production of electronics goods, which is again broken down via market
sub-sectors.
Among consumer electronics, 21-inch colour TV continues to dominate the market with a
65 per cent share. Computers accounted for about 32 per cent of Indian consumer
electronics spending in 2010. BMI forecasts Indian domestic market computer hardware
sales (including notebooks and accessories) of US$9.5bn in 2011, up from US$8.4bn in
2010. Sales were up by as much as one-third in 2010 compared with the previous year.
With PC penetration of around 2 per cent, the computer hardware compound annual
growth rate (CAGR) for the 2011-2015 will be about 15 per cent.
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Estimates provided by Corporate Catalyst India (CCI) indicate that the consumer
durables market is expected to double at 14.8 per cent CAGR to USD12.5 billion in
FY15 from USD6.3 billion in FY10. Further, demand from rural and semi-urban areas is
expected to expand at a CAGR of 25 per cent to USD6.4 billion in FY15 from USD2.1
billion in FY10.
All major companies in this sector have elaborate expansion plans for the near future.
Japan’s Panasonic plans to invest USD208 million by 2014 by setting up manufacturing
units and an advanced R&D centre.
India’s domestic video, audio and gaming device market is expected to grow to a value of
US$21.7bn in 2015. TV will remain the core product in this category, with sports events
such as the 2011 ICC Cricket World Cup driving demand for TV set upgrades. LCD TV
set sales are projected to pass 3.7mn in 2011, while vendors also report strong growth in
the LED TV set segment.
1.12 Apparels Industry
Apparels sector in India is a diverse and heterogeneous industry, which covers a wide
variety of products from hi-tech synthetic and wool fibers to yarns to fabrics to apparels,
cotton fibers to yarns to fabrics to home textiles to high fashion apparels (knitted and
woven). This diversity of end products corresponds to a multitude of industrial processes,
enterprises or market structures.
Apparels industry is in a stronger position now than it was in the last six decades. The
industry, which was growing at 3: 4 percent during the last six decades, has now
accelerated to an annual growth rate of 9: 10 percent. There is a sense of optimism in the
industry and textile and apparels sector has now become a sunrise sector.
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The catalysts, which have placed the industry on this trajectory of exponential growth are
a buoyant domestic economy, a substantial increase in cotton production, the conducive
policy environment provided by the Government, and the expiration of the Multi Fiber
Agreement (MFA) on 31 December, 2004 and implementation of Agreement on Textiles
and Clothing (ATC).
The buoyant Indian economy, growing at the rate of 8 percent, has resulted in higher
disposable income levels. The disposable income of Indian consumers has increased
steadily. The proportion of the major consuming class (population that has an annual
income of more than US$ 2000) has risen from 20 percent in 1995-96 to 28 percent in
2001-02. This is expected to move up to 35 percent by 2005-06, and to 48 percent by
2009-10. This translates into a growth of 9.3 percent over the next 8 years, and will result
in higher spending capacity, manifesting itself in the greater consumption of textiles and
apparels.
The Indian textile and apparels industry consumes a diverse range of fibers and yarn, but
is predominantly cotton based. A significant increase in cotton production during the last
two: three years has increased the availability of raw cotton to apparels industry at
competitive prices, providing it with a competitive edge in the global market. The
Government has also provided industry a conducive policy environment and initiated
schemes, which have facilitated the growth of the industry. The Technology Mission on
Cotton has increased cotton production and reduced contamination levels. The
Technology Up gradation Fund Scheme (TUFS) has facilitated the installation of the
state-of-the-art / near state-of-the-art technology/machinery at competitive capital cost.
The rationalization of fiscal duties has provided a level playing field to all segments,
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resulting in the holistic growth of the industry. Besides the governments permission to
allow import of a number of textile and apparels resources in terms of trimmings,
embellishments, consumables and accessories, fabrics, linings/interlinings, etc. has made
the apparels export industry in India much more competitive than ever before.
Not only this, the government, of late has been giving a lot of attention to strengthen
infrastructure like roads, ports, power, water, telecommunications, etc. to supplement the
efforts put in by the Indian textile and apparels industry to become a surprise industry.
To provide Indian consumers with world-class quality in textile and apparels
and retail services, the government has recently allowed single-brand overseas retailers
to set up retail shops in India. The multi-brand overseas retailers/super markets/investors
are already in India to conduct wholesale business to feed existing retailers with quality
products.
Apparel is one of the basic necessities of human civilization along with food, water and
shelter. The Apparel Industry reflects people’s lifestyles and shows their social and
economic status. The Apparel and Textile industry, is India’s second largest industry after
IT Industry. At present, it is amongst the fastest growing industry segment and is also the
second largest foreign exchange earner for the country. The apparel industry accounts for
26% of all Indian exports. The Indian government has targeted the apparel and textiles
industry segments to reach $50 billion by the year 2015. China on the other hand, has
already reached their target of $52 billion in 2004, and therefore, it is very possible for
India to reach its target soon. One of the most interesting features of the apparel industry
is that, it migrates from high cost nations to the low cost nations. The growth of the
domestic demand for clothing in India is linked with the success of the retailing sector.
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India presently has entered the second phase of growth and is witnessing a massive rise in
the domestic demand. This is primarily due to the rise in the standard of living caused by
the rise in the middle-income groups. In our present economic world of demand and
supply, price and quality are the key factors, which determine the success of any
business. The key element here though, is the cost of labor. India and China have a
comparative advantage in this industry though, their vast labor forces and the relatively
low cost of labor. Since, India and China have the advantage of making textiles and so
fabric costs are lower than in other countries, they have become the Apparel sourcing
choice for many international companies. Sourcing choices arise from profitability. This
includes considering costs, such as, buying factors of production, like land, buildings and
machines versus factors affecting revenues, including pricing, marketing, and
distribution. The issues of labor, material, shipping costs and tariffs structure also affect
the sourcing choices. Since, apparel production is a labor-intensive activity, wage rates
are also a major factor in sourcing decisions. Textile and apparel is a privileged exports
sector in India contributing 30 % of total exports. And it has valid reasons. A long history
of fine textiles, easy availability of the finest raw material, natural or manmade, classic
weaving, manual or mechanized, labor availability and flexible production capacity;
India's textile industry is vertically integrated from raw material to finished product,
including fiber production, spinning, knitting and weaving, and apparel manufacture.
Government of India through export promotion councils is promoting the industry
globally by holding fairs and exhibitions. Despite that, our study of the industry brought
forth another fact. Not all the companies can afford to be a part of such promotional
shows; not all the buyer organizations have a reach to them either. Further there are
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industries as garment accessories and technology, which some time back did not figure
anywhere. We offered our clients very cost-effective solutions to present their product
and interact with each other on a global scale. Through the websites/ catalogs the
manufacturers could present their latest and the best products and the buyers and the
suppliers both could get the best deal out of it.
Quotas or quantitative restrictions imposed by developed nations, which restrained the
export growth of the Indian textiles and apparels industry for over four decades, were
eliminated with effect from 01 January 2005. This has unshackled Indian textiles and
apparels exports, and this is evident from the growth registered in the quota markets.
Apparels exports to the USA during 2005 and 2006 increased by 34.2 and 7.08 percent
respectively, while textiles exports during 2006 to the US showed an impressive 12.42
percent growth. Similarly, in Europe, apparels exports increased by 30.6 and 17.50 %
respectively in 2005 and 2006, while textile exports registered 2.2 and 3.5 percent growth
in the similar period respectively. The increasing trends in exports are expected to
continue in the years to come.
If we look at the US and EU import statistics for apparels alone, we find that these major
global players are not inclined to source exclusively from China and India is considered
as the second most preferred destination for major global retailers due to its strength of
vertical and horizontal integration.
The Indian government has always and is continuing to consider the role of textiles and
apparels manufacturing units in India as very critical in achieving the objectives of faster
and more inclusive growth, and has laid emphasis on policies aimed at creating an
environment in which entrepreneurship can flourish. The apparels industry is targeted to
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grow at the rate of 16 percent in value terms to reach the level of US$ 115 billion
(exports US$ 55 billion; domestic market US$ 60 billion) by 2012, while the fabric
production is expected to grow at the rate of 12 percent in volume terms. Apparels alone
are expected to grow at the rate of 16 percent in volume terms and 21 percent in value
terms, while exports are expected to grow at the rate of 22 percent in value terms.
The Indian apparel industry also has a vast existence in the economic life of the country.
It plays a critical role in the economic development of the country with its contribution to
industrial output, export earnings of the country and the generation of employment. The
Indian apparel industry has seen remarkable changes in the past few years and it is also
one of the India's largest foreign exchange earners. Embroidery being the traditional art
form of the country has contributed hugely for apparel industry. Indian embroidery
market stands out as being extraordinary in the international markets. For more
comprehensive information on Indian textiles, home decor, clothing and fashion
accessories
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1.13 Major Players in Apparel Industry
StoreName
Aditya BirlaNuvo
Raymond Koutons ArvindMills
ITC Wills
Product Range
Men’s, Women’s &Kidswear
Men’s &Womenswear
Family Store
Men’s, Women’s &Kids wear
Men’s, &Women’swear
Brands • Esprit • Peter-England • Van Heusen • Allen Solly• Louis-Philippe
• Park Avenue • ColorPlus• Parx• Notting Hill • Zapp!
• Koutons• Charlie Outlaw • Les Femme • Koutons-Junior
• Lee • Wrangler • Nautica• Jansport• Kipling • Tommy
• John Players • Miss Players • Club WIlls
Tie Ups Many International Players- Louis Philippe, Van Heusen etc.
All company hold brands
All company hold brands
Many International Players- Wrangler, Nautica, etc.
All Company hold brands
Media Used for promotion
Print, electronic, hoardings, In store
Print, electronic, hoardings, In store,
Hoardings, print, POP
Print, electronic, hoardings, In store
Print, electronic, hoardings, In store
Quality Different quality in different brands
High Quality Medium Quality
Different quality in differentbrands
High Quality
Loyalty Program
For Some Brands
No No For Some Brands
Yes
Table 1.1 Different players in Apparel Industry
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1.2 Objectives of Study:
a) To gain the overview of the consumer purchase behavior towards the sales
promotion.
b) To study the effect of promotional strategies on consumer purchase behavior in
the electronics & apparels.
c) To study the impact of the sales promotions on Brand Switching, stock piling,
customer loyalty etc.
1.3 Scope of study
The focus of the study is limited to the study of consumer behavior in terms of Brand
Switching and Stock Piling as affected by the sales promotion. The study is focused on
the electronics and apparels sector. Geographically study is confined to Delhi. The main
scope of this study is to ascertain the effect of Sales Promotion on Brand Switching and
Stock Piling Behaviour of Consumers.
1.4 Methodology used for Data Analysis:
Research Design Descriptive
Universe Delhi
Sample Size 100
Sampling Technique Convenience
Project Approach Survey method
Instrument Used Standardized questionnaire
Data Type Primary and secondary
Statistical Tool Used Correlation and Regression
Table 1.2: Research Methodology Framework
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1.5 Research Design
The Research design employed for the study is a combination of descriptive . Descriptive
research design is taken as we are trying to observe the effect of promotional strategies
on consumer purchase behavior in the electronics & apparels.
1.6 Sample Statistics
1.61 Size: Sample Size of 100 is taken using unaided Judgment technique. Due to time
and resource constraints the sample size taken is small.
1.62 Sampling Technique: Data is collected on the convenience basis due to large
population size. Convenience sampling is a non-probability sampling technique where
subjects are selected because of their convenient accessibility and proximity to the
researcher.
1.7 Data Sources
1.71 Primary Sources
Data is collected from the end users belonging to different age groups with the help of the
standardized questionnaire which is divided into two parts Part A compromising of the 19
questions and Part B consist of Demographics of respondents. The reliability of the same
is tested via Cronbach's (alpha) whose value came out to be0.879 which is more than
0.6. Hence the instrument used for data collection was highly reliable.
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1.72 Reliability Statistics
Cronbach's Alpha N of Items
.879 19
Table 1.3 – Reliability statistics
1.73 Secondary Sources
The secondary data is collected from the company’s magazines, journals and various
websites. Secondary data is data collected by someone other than the user. Common
sources of secondary data for social science include censuses, organizational records and
data collected through qualitative methodologies or qualitative research.
1.8 Correlation
Correlation is a technique used to find out the relationship between the two variables.
Correlation can be positive and negative as well. The positive correlation shows that there
is positive relationship among the variables and negative correlation shows that there is
no relationship among them. Correlation is computed into what is known as the correlation
coefficient, which ranges between -1 and +1.
The most familiar measure of dependence between two quantities is the Pearson product-
moment correlation coefficient, or "Pearson's correlation." It is obtained by dividing the
covariance of the two variables by the product of their standard deviations. Karl Pearson
developed the coefficient from a similar but slightly different idea by Francis Galton.
The population correlation coefficient ρX,Y between two random variablesX and Y with
expected values μX and μY and standard deviations σX and σY is defined as:
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1.9 Regression
Linear regression is an approach to modeling the relationship between a scalar variable
and one or more explanatory variables denoted X. The case of one explanatory variable is
called simple linear regression. For more than one explanatory variable, it is called
multiple linear regression. (This term should be distinguished from multivariate linear
regression, where multiple correlated dependent variables are predicted, rather than a
single scalar variable.)
Regression Analysis could be used for a variety of purposes in research. It could be used
to test whether an overall relationship exists between the dependent variable and a set of
independent variables. It can also be used to measure the relative importance of various
independent variables in explaining the dependent variables. The other use of regression
analysis is for a prediction of values of dependent variable, that is knowing the values of
the independent variables one can predict the values of the dependent variable. In
Regression analysis, it is assumed that there is a variable that is influencing another
variable.
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1.10 HYPOTHESIS
HYPOTHESIS 1
H0: Sales promotion does not have significant impact on Stockpiling Behaviour of
consumers. (Electronics)
Ha: Sales promotion has significant impact on Stockpiling Behaviour of consumers.
(Electronics)
HYPOTHESIS 2
H0: Sales promotion does not have significant impact on Brand Switching. (Electronics)
HA: Sales promotion has significant impact on Brand Switching. (Electronics)
HYPOTHESIS 3
H0: Sales promotion does not have significant impact on Stockpiling Behavior of
consumers. (Apparels)
Ha: Sales promotion has significant impact on Stockpiling Behavior of consumers.
(Apparels)
HYPOTHESIS 4
H0: Sales promotion does not have significant impact on Brand Switching (Apparels)
HA: Sales promotion has significant impact on Brand Switching (Apparels)
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2.1 Literature Review
The properties of sales promotion can be defined as (Boddewyn & Leardi, 1989, p. 365):
“Techniques and devices commonly used on a temporary basis, to make goods and
services more attractive to distributors or final customers by providing them with some
additional benefit or inducement (incentive) or the expectations of such a benefit,
whether in cash, in kind (nature) and/or services, whether immediately or at a later time,
whether freely or conditionally.” Boddewyn&Leardi, (1989, p. 365), states the following
sales promotional types: reduced prices and free offers, premium offers of all kind,
vouchers and samples, the supply of trading tramples, promotions which are linked with
charity, and furthermore promotions related to prize of different kinds, including some
other incentive programs. All these are employed by companies to increase the
profitability through motivating consumer’s to make an immediate purchase. Another
form of sales promotion is a group promotion. A group promotion would be to offer two
complementary but different products (for example/- soap and toothpaste) being sold
together maybe at a reduced price for a limited time. Some researches prove that sales
promotions do not have a constant or continued effect on volume of sales of a firm which
tend to diminish and come at the initial level at which it was before the sales promotion is
being offered (Dekimpe, Hanssens and Silva-Risso 1999; Pauwels et al. 2002; Srinivasan
et al. 2000). However the usefulness of sales promotion, that whether it promotes, the
long term growth and profitability among brands for which it is projected is not
compulsory. (Kopalle, Mela and Marsh,1999). Research conducted by Ailawadi and
Neslin (1998) revealed that sales promotions motivate the consumers to make immediate
purchases and also positively impacts the consumption volume.
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A research conducted by Dekimpe et al. on four different product categories to find out
the permanent and temporary effects of sales promotions on sales volume. Their research
has proved that there are rarely any permanent affect of sales promotions on the volume
of sales. Thus showing that sales promotion does not change the structure of sales over
the long run, this implication is analyzed through our research also. However the long run
profitability of sales promotion is largely linked with the cost parameters and magnitude
of response, but we have made brand loyalty the benchmark of long term impact, because
it is consumer’s brand loyalty that ultimately increases the customer lifetime value, i.e. an
important indicator of future profitability. Dekimpe et al. also revealed in the research
that the diminishing impact of sales promotion may also be because of choice of brand,
quantity which is purchased and category incidence. This dimension is also covered in
our research through the analysis of extraneous variables.
In another research conducted by KoenPauwels (2002) he has examined the permanent
impact of sales promotion on accumulative annual sales for the two product categories
which include storable and perishable products. It was found that perishable and storable
product categories lack permanent effects of sales promotion. Furthermore it is revealed
that affects of sales promotion are short lived and persist only on average 2 weeks and at
most eight weeks for both product categories. The research’s results prove the common
concept that sales promotion makes only benefits which are temporary for the established
brands.
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Bawa and Shoemaker (1987) have probed the assumption that households who are deal
prone in one product class will tend to be deal prone in other product classes in a coupon
setting. A household is considered to be coupon-prone to the extent that the proportion of
purchases made with a coupon is above average across many product classes. Although
prior studies suggested that individual households do not engage in highly consistent
behavior when purchasing in different classes (e.g., Cunningham 1956, Massy et al.
1968, Wind and Frank 1969), households were found to be more consistent in their use of
coupons across product classes than would be expected if their purchase behavior were
independent across classes.
Kincade, Doris H.; Woodard, Ginger A.; Park, Haesun (2002) studied Buyer–seller
relationships for promotional support in the apparel sector which is critical for success.
The purpose of the study was to define promotional support categories offered to apparel
retailers by manufacturers, to identify the retailer's perceptions of the offering frequency
and importance of the promotional support, and to investigate the relationship between
offering frequency and perceptions of importance. Results indicated that monetary
support was regarded as the most important promotional support. A positive and
significant correlation was found between items the buyers perceived as important and
the frequency of offerings of these items.
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Liu, Yuping, (2007) found out the Long-Term Impact of Loyalty Programs on Consumer
Purchase Behavior and Loyalty. Using longitudinal data from a convenience store
franchise, the study found out that consumers who were heavy buyers at the beginning of
a loyalty program were most likely to claim their qualified rewards, but the program did
not prompt them to change their purchase behavior. In contrast, consumers whose initial
patronage levels were low or moderate gradually purchased more and became more loyal
to the firm. For light buyers, the loyalty program broadened their relationship with the
firm into other business areas. Thus there is a need to consider patronage to decide
rewards for loyalty programs.
Deeter-Schmelz, Dawn R.; Moore, Jesse N.; Goebel, Daniel J, (2000) examined Prestige
clothing shopping by consumers by a confirmatory assessment and refinement of the
PRECONscale. Aspects studied include background on the symbolic aspects of consumption;
prestige shopping behavior; reassessment and refinement of the PRECON scale and impact
of income and age on prestige shopping. The paper concludes with managerial implications
for the United States apparel retailers dealing in prestige clothing.
Kincade, Doris H.; Woodard, Ginger A.; Park, Haesun (2002) studied Buyer–seller
relationships for promotional support in the apparel sector which is critical for success. The
purpose of the study was to define promotional support categories offered to apparel retailers
by manufacturers, to identify the retailer's perceptions of the offering frequency and
importance of the promotional support, and to investigate the relationship between offering
frequency and perceptions of importance. Results indicated that monetary support was
regarded as the most important promotional support.. A positive and significant correlation
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was found between items the buyers perceived as important and the frequency of offerings of
these items.
In the context of French market, Meyer-Waarden, Lars; Benavent, Christophe. (2006)
studied the Impact of Loyalty Programs on Repeat Purchase Behaviour based on the
Behavior Scan single-source panel which has been compared with the store data base . The
double jeopardy phenomenon was present and loyalty programs did not substantially change
market structures. When all companies had loyalty programs, the market was characterized
by an absence of change of the competitive situation. (2006) studied the Impact of Loyalty
Programmes on Repeat Purchase Behaviour based on the Behavior Scan single-source panel
which has been compared with the store data base . The double jeopardy phenomenon was
present and loyalty programmes did not substantially change market structures. When all
companies had loyalty programs, the market was characterized by an absence of change of
the competitive situation
Erdem and Keane (1996) and Gonul and Srinivasan (1996) establish that consumers are
forward looking. Erdem et al. (2003) explicitly model consumers ‘expectations about future
prices with an exogenous consumption rate. In their model, consumers form future price
expectations and decide when, what, and how much to buy. Sun et al. (2003) demonstrate
that ignoring forward looking behaviour leads to an over estimation of promotion elasticity.
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Blattberg, Eppen, and Liebermann and Hastak (1979) find evidence that promotions
are associated with purchase acceleration in terms of an increase in quantity purchased
and, to a lesser extent, decreased inter purchase timing. Researchers studying the brand
choice decision-for example, Guadagni and Little (1983) and Gupta (1988)-have found
promotions to be associated with brand switching. Montgomery (1971), Schneider and
Currim (1990), and Webster (1965) found that promotion-prone households were
associated with lower levels of brand loyalty.
Blattberg, Peacock, and Sen (1976, 1978) describe 16 purchasing strategy segments based
on three purchase dimensions: brand loyalty (single brand, single brand shifting, many
brands), type of brand preferred (national, both national and private label), and price
sensitivity (purchase at regular price, purchase at deal price). There are other variables that
may be used to describe purchase strategies, examples are whether the household purchases a
major or minor (share) national brand, store brand, or generic, or whether it is store-loyal or
not. McAlister (1983) and Neslin and Shoemaker (1983) use certain segments derived from
those of Blattberg, Peacock, and Sen but add a purchase acceleration variable to study the
profitability of product promotions.
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2.2 Theoretical Description
2.21 Sales Promotion
Sales promotion is an important component of a small business's overall marketing
strategy, along with advertising, public relations, and personal selling. The American
Marketing Association (AMA) defines sales promotion as "media and non-media
marketing pressure applied for a predetermined, limited period of time in order to
stimulate trial, increase consumer demand, or improve product quality." But this
definition does not capture all the elements of modern sales promotion. One should add
that effective sales promotion increases the basic value of a product for a limited time and
directly stimulates consumer purchasing, selling effectiveness, or the effort of the sales
force. It can be used to inform, persuade, and remind target customers about the business
and its marketing mix. Some common types of sales promotion include samples,
coupons, sweepstakes, contests, in-store displays, trade shows, price-off deals, premiums,
and rebates.
Businesses can target sales promotions at three different audiences: consumers, resellers,
and the company's own sales force. Sales promotion acts as a competitive weapon by
providing an extra incentive for the target audience to purchase or support one brand over
another. It is particularly effective in spurring product trial and unplanned purchases.
Most marketers believe that a given product or service has an established perceived price
or value, and they use sales promotion to change this price-value relationship by
increasing the value and/or lowering the price. Compared to the other components of the
marketing mix (advertising, publicity, and personal selling), sales promotion usually
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operates on a shorter time line, uses a more rational appeal, returns a tangible or real
value, fosters an immediate sale, and contributes highly to profitability.
In determining the relative importance to place on sales promotion in the overall
marketing mix, a small business should consider its marketing budget, the stage of the
product in its life cycle, the nature of competition in the market, the target of the
promotion, and the nature of the product. For example, sales promotion and direct mail
are particularly attractive alternatives when the marketing budget is limited, as it is for
many small businesses. In addition, sales promotion can be an effective tool in a highly
competitive market, when the objective is to convince retailers to carry a product or
influence consumers to select it over those of competitors. Similarly, sales promotion is
often used in the growth and maturity stages of the product life cycle to stimulate
consumers and resellers to choose that product over the competition—rather than in the
introduction stage, when mass advertising to build awareness might be more important.
Finally, sales promotion tends to work best when it is applied to impulse items whose
features can be judged at the point of purchase, rather than more complex, expensive
items that might require hands-on demonstration.
2.22 Theories of Consumer Behaviour applied to Sales Promotion
Sales promotions set in motion a complex interaction of management decisions and
consumer behavior. If managers are ever to assume the “driver’s seat” in this interaction,
they must understand not only how but also why consumers respond to promotions
(Blattberg and Neslin 1990). The field of consumer behavior provides a rich collection of
concepts and theories that shed light on this question. In this section, we have selected the
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topics from consumer behavior that are most applicable to sales promotions. In
accordance with the theories of consumer behavior discussed in the previous section, we
discuss the relevant topics for each of these theories for the field of sales promotions.
2.23 Economic Model applied to Sales Promotion
The relevance of the economic theory for the field of sales promotions is quite
straightforward. Temporary price reductions for certain products mean relaxations of the
budget constraint, i.e. the possibility to purchase more of the same product. Economic
theory would also imply that households with low storage costs and transaction costs are
more inclined to buy on promotion. However, as discussed before in section 2.22, the
economic model represents a quite oversimplified model of consumer behavior,
neglecting, for example, consumers’ mental decision-making, tastes, etc. It therefore
provides us with general knowledge about consumer reactions to price and income
changes, but no insights \in how other types of sales promotions influence consumer
decisions
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2.24 Types of Sales Promotion
Types of Sales Promotion are as follows:-
a) Consumer Promotions
Consumer sales promotions are steered toward the ultimate product users—typically
individual shoppers in the local market—but the same techniques can be used to promote
products sold by one business to another, such as computer systems, cleaning supplies,
and machinery. In contrast, trade sales promotions target resellers—wholesalers and
retailers—who carry the marketer's product. Following are some of the key techniques
used in consumer-oriented sales promotions.
b) Price Deals
A consumer price deal saves the buyer money when a product is purchased. The main
types of price deals include discounts, bonus pack deals, refunds or rebates, and coupons.
Price deals are usually intended to encourage trial use of a new product or line extension,
to recruit new buyers for a mature product, or to convince existing customers to increase
their purchases, accelerate their use, or purchase multiple units. Price deals work most
effectively when price is the consumer's foremost criterion or when brand loyalty is low.
Manufacturers sustain the cost of advertising and distributing their coupons, redeeming
their face values, and paying retailers a handling fee. Retailers who offer double or triple
the amount of the coupon shoulder the extra cost. Retailers who offer their own coupons
incur the total cost, including paying the face value. In this way, retail coupons are
equivalent to a cents-off deal.
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Manufacturers disseminate coupons in many ways. They may be delivered directly by
mail, dropped door to door, or distributed through a central location such as a shopping
mall. Coupons may also be distributed through the media—magazines, newspapers,
Sunday supplements, or free-standing inserts (FSI) in newspapers. Coupons can be
inserted into, attached to, or printed on a package, or they may be distributed by a retailer
who uses them to generate store traffic or to tie in with a manufacturer's promotional
tactic. Retailer-sponsored coupons are typically distributed through print advertising or at
the point of sale. Sometimes, though, specialty retailers or newly opened retailers will
distribute coupons door to door or through direct mail.
c) Contests or Sweepstakes
The main difference between contests and sweepstakes is that contests require entrants to
perform a task or demonstrate a skill that is judged in order to be deemed a winner, while
sweepstakes involve a random drawing or chance contest that may or may not have an
entry requirement. At one time, contests were more commonly used as sales promotions,
mostly due to legal restrictions on gambling that many marketers feared might apply to
sweepstakes. But the use of sweepstakes as a promotional tactic has grown dramatically
in recent decades, partly because of legal changes and partly because of their lower cost.
Administering a contest once cost about $350 per thousand entries, compared to just
$2.75 to $3.75 per thousand entries in a sweepstake. Furthermore, participation in
contests is very low compared to sweepstakes, since they require some sort of skill or
ability.
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d) Special Events
According to the consulting firm International Events Group (IEG), businesses spend
over $2 billion annually to link their products with everything from jazz festivals to golf
tournaments to stock car races. In fact, large companies like RJR Nabisco and Anheuser-
Busch have special divisions that handle nothing but special events. Special events
marketing offers a number of advantages. First, events tend to attract a homogeneous
audience that is very appreciative of the sponsors. Therefore, if a product fits well with
the event and its audience, the impact of the sales promotion will be high. Second, event
sponsorship often builds support among employees—who may receive acknowledgment
for their participation—and within the trade. Finally, compared to producing a series of
ads, event management is relatively simple. Many elements of event sponsorship are
prepackaged and reusable, such as booths, displays, and ads. Special events marketing is
available to small businesses, as well, through sponsorship of events on the community
level.
e) Premiums
A premium is tangible compensation that is given as incentive for performing a particular
act—usually buying a product. The premium may be given for free, or may be offered to
consumers for a significantly reduced price. Some examples of premiums include
receiving a prize in a cereal box or a free garden tool for visiting the grand opening of a
hardware store. Incentives that are given for free at the time of purchase are called direct
premiums. These offers provide instant gratification, plus there is no confusion about
returning coupons or box tops, or saving bar codes or proofs of purchase.
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Other types of direct premiums include traffic builders, door openers, and referral
premiums. The garden tool is an example of a traffic-builder premium—an incentive to
lure a prospective buyer to a store. A door-opener premium is directed to customers at
home or to business people in their offices. For example, a homeowner may receive a
free clock radio for allowing an insurance agent to enter their home and listening to his
sales pitch. Similarly, an electronics manufacturer might offer free software to an office
manager who agrees to an on-site demonstration. The final category of direct premiums,
referral premiums, reward the purchaser for referring the seller to other possible
customers. Mail premiums, unlike direct premiums, require the customer to perform
some act in order to obtain a premium through return mail. An example might be a
limited edition toy car offered by a marketer in exchange for one or more proofs-of-
purchase and a payment covering the cost of the item plus handling. The premium is still
valuable to the consumer because they cannot readily buy the item for the same amount.
f) Continuity Programs
Continuity programs retain brand users over a long time period by offering ongoing
motivation or incentives. Continuity programs demand that consumers keep buying the
product in order to get the premium in the future. Trading stamps, popularized in the
1950s and 1960s, are prime examples. Consumers usually received one stamp for every
dime spent at a participating store. The stamp company provided redemption centers
where the stamps were traded for merchandise. A catalog listing the quantity of stamps
required for each item was available at the participating stores. Today, airlines' frequent-
flyer clubs, hotels' frequent-traveler plans, retailers' frequent-shopper programs, and
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bonus-paying credit cards are common continuity programs. When competing brands
have reached parity in terms of price and service, continuity programs sometimes prove a
deciding factor among those competitors. By rewarding long-standing customers for their
loyalty, continuity programs also reduce the threat of new competitors entering a market.
g) Trade Promotions
A trade sales promotion is targeted at resellers—wholesalers and retailers—who
distribute manufacturers' products to the ultimate consumers. The objectives of sales
promotions aimed at the trade are different from those directed at consumers. In general,
trade sales promotions hope to accomplish four goals:
1) Develop in-store merchandising support, as strong support at the retail store level is
the key to closing the loop between the customer and the sale.
2) Control inventory by increasing or depleting inventory levels, thus helping to
eliminate seasonal peaks and valleys.
3) Expand or improve distribution by opening up new sales areas (trade promotions are
also sometimes used to distribute a new size of the product).
4) Generate excitement about the product among those responsible for selling it. Some of
the most common forms of trade promotions—profiled below—include point-of-
purchase displays, trade shows, sales meetings, sales contests, push money, deal loaders,
and promotional allowances.
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h) Point-Of-Purchase (POP) Displays
Manufacturers provide point-of-purchase (POP) display units free to retailers in order to
promote a particular brand or group of products. The forms of POP displays include
special racks, display cartons, banners, signs, price cards, and mechanical product
dispensers. Probably the most effective way to ensure that a reseller will use a POP
display is to design it so that it will generate sales for the retailer. High product visibility
is the basic goal of POP displays. In industries such as the grocery field where a shopper
spends about three-tenths of a second viewing a product, anything increasing product
visibility is valuable. POP displays also provide or remind consumers about important
decision information, such as the product's name, appearance, and sizes. The theme of the
POP display should coordinate with the theme used in ads and by salespeople.
i) Trade Shows
Thousands of manufacturers display their wares and take orders at trade shows. In fact,
companies spend over $9 billion yearly on these shows. Trade shows provide a major
opportunity to write orders for products. They also provide a chance to demonstrate
products, disseminate information, answer questions, and be compared directly to
competitors. Related to trade shows, but on a smaller scale, are sales meetings sponsored
by manufacturers or wholesalers. Whereas trade shows are open to all potential
customers, sales meetings are targeted toward the company's sales force and/or
independent sales agents. These meetings are usually conducted regionally and directed
by sales managers. The meetings may be used to motivate sales agents, to explain the
product or the promotional campaign, or simply to answer questions. For resellers and
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salespeople, sales contests can also be an effective motivation. Typically, a prize is
awarded to the organization or person who exceeds a quota by the largest percentage.
j) Push Money
Similarly, push money (PM)—also known as spiffs—is an extra payment given to sales-
people for meeting a specified sales goal. For example, a manufacturer of refrigerators
might pay a $30 bonus for each unit of model A, and a $20 bonus for each unit of model
B, sold between March 1 and September 1. At the end of that period, the salesperson
would send evidence of these sales to the manufacturer and receive a check in return.
Although some people see push money as akin to bribery, many manufacturers offer it.
k) Deal Loaders
A deal loader is a premium given by a manufacturer to a retailer for ordering a certain
quantity of product. Two types of deal loaders are most typical. The first is a buying
loader, which is a gift given for making a specified order size. The second is a display
loader, which means the display is given to the retailer after the campaign. For instance,
General Electric may have a display containing appliances as part of a special program.
When the program is over, the retailer receives all the appliances on the display if a
specified order size was achieved.
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l) Trade Deals
Trade deals are special price concessions superseding, for a limited time, the normal
purchasing discounts given to the trade. Trade deals include a group of tactics having a
common theme—to encourage sellers to specially promote a product. The marketer might
receive special displays, larger-than-usual orders, superior in-store locations, or greater
advertising effort. In exchange, the retailer might receive special allowances, discounts,
goods, or money. In many industries, trade deals are the primary expectation for retail
support, and the marketing funds spent in this area are considerable. There are two main
types of trade deals: buying allowances and advertising/display allowances.
m) Buying Allowances
A buying allowance is a bonus paid by a manufacturer to a reseller when a certain
amount of product is purchased during a specific time period. For example, a reseller who
purchases at least 15 cases of product might receive a buying allowance of $6.00 off per
case, while a purchase of at least 20 cases would result in $7.00 off per case, and so forth.
The payment may take the form of a check or a reduction in the face value of an invoice.
In order to take advantage of a buying allowance, some retailers engage in "forward
buying." In essence, they order more merchandise than is needed during the deal period,
then store the extra merchandise to sell later at regular prices. This assumes that the
savings gained through the buying allowance is greater than the cost of warehousing and
transporting the extra merchandise. Some marketers try to discourage forward buying,
since it reduces profit margins and tends to create cyclical peaks and troughs in demand
for the product.
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The slotting allowance is a controversial form of buying allowance. Slotting allowances
are fees retailers charge manufacturers for each space or slot on the shelf or in the
warehouse that new products will occupy. The controversy stems from the fact that in
many instances this allowance amounts to little more than paying a bribe to the retailer to
convince them to carry your company's products. But many marketers are willing to pay
extra to bring their products to the attention of consumers who are pressed for time in the
store. Slotting allowances sometimes buy marketers prime spaces on retail shelves, at eye
level or near the end of aisles. The final type of buying allowance is a free goods
allowance. In this case, the manufacturer offers a certain amount of product to
wholesalers or retailers at no cost if they purchase a stated amount of the same or a
different product. The allowance takes the form of free merchandise rather than money.
n) Advertising Allowances
An advertising allowance is a dividend paid by a marketer to a reseller for advertising
their product. The money can only be used to purchase advertising—for example, to print
flyers or run ads in a local newspaper. But some resellers take advantage of the system,
so many manufacturers require verification. A display allowance is the final form of trade
promotional allowance. Some manufacturers pay retailers extra to highlight their display
from the many available every week. The payment can take the form of cash or goods.
Retailers must furnish written certification of compliance with the terms of the contract
before they are paid. Retailers are most likely to select displays that yield high volume
and are easy to assemble.
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2.25 Limitations of Sales Promotion
Although sales promotion is an important strategy for producing quick, short-term,
positive results, it is not a cure for a bad product, poor advertising, or an inferior sales
team. After a consumer uses a coupon for the initial purchase of a product, the product
must then take over and convince them to become repeat buyers. In addition, sales
promotion activities may bring several negative consequences, including "clutter" due to
the number of competitive promotions. New approaches are promptly cloned by
competitors, as each marketer tries to be more creative, more attention getting, or more
effective in attracting the attention of consumers and the trade. Finally, consumers and
resellers have learned how to milk the sales promotion game. Consumers may wait to buy
certain items knowing that prices will eventually be reduced, for example, while resellers
have become experts at negotiating deals and manipulating competitors against one
another.
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2.26 Stockpile
A stockpile is a pile or storage location for bulk materials, forming part of the bulk
material handling process.
Stockpiles are used in many different areas, such as in a port, refinery or manufacturing
facility. The stockpile is normally created by a stacker. A reclaimer is used to recover the
material. Stockpiles are normally stacked in stockyards in refineries, ports and mine sites.
A simple stockpile is formed by machinery dumping coal into a pile, either from dump
trucks, pushed into heaps with bulldozers or from conveyor booms. More controlled
stockpiles are formed using stackers to form piles along the length of a conveyor, and
reclaimers to retrieve the coal when required for product loading, etc.
Consumer stockpiling is a fundamental consequence of sales promotion (Neslin 2002). It
occurs because the promotion induces consumers to buy sooner or buy more than they
would have otherwise (Blattberg, Eppen, and Lieberman 1981; Neslin, Henderson, and
Quelch 1985).
Either way, consumers end up with more quantity than they would have had in the
absence of promotion. Blattberg, Eppen, and Lieberman (1981) show that promotion-
induced stock piling allows retailers to transfer inventory holding costs to consumers.
Evidence of consumer stockpiling is found directly in panel data analyses of purchase
incidence and quantity (Bucklinand Gupta 1992; Bucklin, Gupta, and Siddarth 1998;
Chintagunta and Haldar 1998; Gupta 1988),and indirectly in the detection of post-
promotion dips in weekly sales data (Macé and Neslin2004; van Heerde, Leeflang, and
Wit tink 2000 and 2004).
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2.27 Brand Switching
Brand switching is the process of choosing to switch from routine use of one product or
brand to steady usage of a different but similar product. Much of the advertising process
is aimed at encouraging brand switching among consumers, thus helping to grow market
share for a given brand or set of brands.
Convincing consumers to switch brands is sometimes a difficult task. It is not unusual for
customers to build up a great deal of brand loyalty due to such factors as quality, price,
and availability. To encourage switching brands, advertisers will often target these three
areas as part of the strategy of encouraging brand switching.
Price is often an important factor to consumers who are tight budgets. For this reason,
advertisers will often use a price comparison model to entice long time users of one brand
to try a new one. The idea is to convince the end user that it is possible to purchase the
same amount of product while spending less money. Ideally, this means that the
consumer can use the savings for other purchases, possibly even a luxury item of some
sort. The idea of more discretionary resources in the monthly budget can be an effective
in the encouragement of jumping brands.
Reason Behind Brand Switching
The fortunes of established brand are driven by consumers fluctuating desires, not by
changed perceptions. When a consumer switches around within a set of brands, it’s
because his or her fluctuating desires temporarily alter how important it is that her or she
receives the benefits of one brand vs another. Once a product has been used, a
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consumer’s perception of it rarely changes, but desires for the perceived benefits of
competing brands often fluctuate and it’s this that creates brand switching.
Conventional wisdom presents a very different view. Ever since the valid concept
emerged that brands are positioned perceptually, marketers have taken it for granted that
brand switching occurs because advertising has changed perceptions – or because of
promotion or lack of product availability. They assume for advertising to succeed it can
must move consumer’s perceptions closer to their ideal.
However, when consumers brand perceptions are tracked for an established brand, one
finds they are rarely any different during or after a campaign that increased market share
than they were before, because the share went up, these tracking results are usually
dismissed as meaning only that perceptual changes were too subtle to measure or that
some critical attribute was missed. Had this research been taken at face value, marketers
Would now be looking at their brands very differently and established brand would be
managed more profitably.
2.28 Relationship between Sales Promotion and Brand Switching
The long run impact of sales promotion is studied by us through measuring the
relationship between consumer’s perceptions of sale promotion and consumer’s brand
switching . Sales Promotion of any product leaves an impact on the acquiring behaviors
of the consumers for a particular product or brand that the consumer will not buy
otherwise (Alvarez and Casielles, vc 2005). The research also revealed that for the
product categories which have more percentage of loyal consumers, any activity of sales
promotion
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3.1 Data Presentation
3.11 Demographics of Respondents
Demographics Demographics Number of
Respondents
% of
Respondents
Gender Male 50 50%
Female 50 50%
Profession Business man 1 1%
Service 19 19%
Student 78 78%
Others 2 2%
Age 21-30 89 89%
31-40 7 7%
41-50 4 4%
Above 50 _ _
Location North Delhi 52 52%
South Delhi 10 10%
East Delhi 9 9%
West Delhi 24 24%
Central Delhi 5 5%
Table 3.1 – Demographics of Respondents
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3.2Testing Hypothesis
For testing the Hypothesis Regression test has been applied
3.21 Formula FOR REGRESSION:
3.22 Elements of a regression equation:
The regression equation is written as Y = a + bX +e
‘Y’ is the value of the Dependent variable (Y), what is being predicted or
explained.
‘a’ or Alpha, a constant; equals the value of Y when the value of X=0
‘b’ or Beta, the coefficient of X; the slope of the regression line; how much Y
changes for each one-unit change in X.
‘X’ is the value of the Independent variable (X), what is predicting or
explaining the value of Y‘e’ is the error term; the error in predicting the value
of Y, given the value of X (it is not displayed in most regression equations
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3.3 HYPOTHESIS 1
H0: Sales promotion does not have significant impact on Stockpiling behaviour of
consumers. (Electronics)
H1: Sales promotion has significant impact on Stockpiling behaviour of consumers.
(Electronics)
Statement no. 1 to 7 measures the stock piling and statement no 13-19 measures the
Sales Promotion.
Model R R
Square
Adjusted
R Square
Std. Error of
the Estimate
Change statistics Durbin watsonR square
changeF change
df1
df2
Sig. F change
1 .548a .300 .293 5.072 .300 42.089 1 98 .000 1.936
a) Predictors: (constant) Sales Promotion Total
For testing Hypothesis 1 Regression testing has been applied.
3.31 Correlations
Sales Promotion
Total
Stock Piling Total
Sales Promotion Total Pearson Correlation
Sig. (2-tailed)
N
1
100
.548
.000
100
Stock piling Total Total Pearson Correlation
Sig. (2-tailed)
N
.548
.000
100
1
100
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Model
Un-standardized
Coefficients
Standardized
Coefficients
t. Sig.B Std error
Beta
1. (Constant)
Sales promotion Total
8.255
.542
1.810
.084 .584
4.560
6.488
.000
.000
a) Dependent Variable: Stock piling Total (Electronics)
3.32 Analysis:-
The value of correlation between the two variables stock Piling and sales promotion is
0.548, which is positive in direction and which is significant also. The value of the R2
is .300 which means that sales promotion has significant impact of 30% on stock piling
behavior of consumers as when there is sales promotion in electronics then promotions
impact directly on stock piling.
Regression equation between the two variables can be established as follows :-
Y = 8.255 + 0.542b.
3.33 Interpretation:-
As the p value (=0.000) obtained from regression table is less than the value of alpha
0.05, so the null hypothesis is rejected and the alternate hypothesis is accepted. Thus it is
verified that sales promotion has significant impact on stock piling behaviour of
consumers in electronics.
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3.4 HYPOTHESIS 2
H0: Sales promotion does not have significant impact on Brand Switching. (Electronics)
HA: Sales promotion has significant impact on Brand switching. (Electronics)
Statement no. 8 to 12 measures the Brand Switching and statement no 13-19 measures
the Sales Promotion.
Model R R
Square
Adjusted
R Square
Std. Error of
the Estimate
Change statistics Durbin watsonR square
changeF change
df1
df2
Sig. F change
1 .568a .323 .316 3.465 .323 42.788 1 98 .000 1.462
a) Predictors: (Constant) Sales Promotion Total
For testing Hypothesis 2 Regression testing has been applied.
3.41 Correlations
Sales Promotion
Total
Stock Piling Total
Sales Promotion Total Pearson Correlation
Sig. (2-tailed)
N
1
100
.568
.000
100
Stock piling Total Total Pearson Correlation
Sig. (2-tailed)
N
.568
.000
100
1
100
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Model
Un-standardized
Coefficients
Standardized
Coefficients
t. Sig.B Std error
Beta
1. (Constant)
Sales promotion Total
5.098
.391
1.237
.057 .568
4.122
6.840
.000
.000
a) Dependent Variable: Brand Switching (Electronics)
3.42 Analysis:-
The value of correlation between the two variables Brand Switching and sales promotion
is 0.568, which is positive in direction and which is significant also. The value of the R2
is .323 which means that sales promotion has significant impact of 32.3% on Brand
switching as when there is sales promotion in electronics then promotions impact directly
on Brand Switching.
Regression equation between the two variables can be established as follows :-
Y = 5.098 + 0.391b.
3.43 Interpretation:-
As the p value (=0.000) obtained from regression table is less than the value of alpha
0.05, so the null hypothesis is rejected and the alternate hypothesis is accepted. Thus it is
verified that sales promotion has significant impact on Brand Switching in electronics.
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3.5 HYPOTHESIS 3
H0: Sales promotion does not have significant impact on Stockpiling Behavior of
consumers. (Apparels)
Ha: Sales promotion has significant impact on Stockpiling behavior of consumers.
(Apparels)
Statement no. 1 to 7 measures the stock piling and statement no 13-19 measures the
Sales Promotion.
Model R R
Square
Adjusted
R Square
Std. Error of
the Estimate
Change statistics Durbin watsonR square
changeF change
df1
df2
Sig. F change
1 .418a .175 .166 5.180 .175 20.730 1 98 .000 2.116
a) Predictors: (Constant) Sales Promotion Total
3.51 Correlations
Sales Promotion
Total
Stock Piling Total
Sales Promotion Total Pearson Correlation
Sig. (2-tailed)
N
1
100
.418
.000
100
Stock piling Total Total Pearson Correlation
Sig. (2-tailed)
N
.418
.000
100
1
100
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Model
Un-standardized
Coefficients
Standardized
Coefficients
t. Sig.B Std error
Beta
1. (Constant)
Sales promotion Total
15.496
.382
1.976
.084 .418
7.841
4.553
.000
.000
a) Dependent Variable: Stock Piling (Apparels)
3.52 Analysis:-
The value of correlation between the two variables Stock piling and sales promotion is
0.418, which is positive in direction and which is significant also. The value of the R2
is .175 which means that sales promotion has significant impact of 17.5% on stock piling
behaviour of consumer as when there is sales promotion in apparels then promotions
impact directly on stock piling behaviour of consumers.
Regression equation between the two variables can be established as follows:-
Y = 15.496 + 0.382b.
3.53 Interpretation:-
As the p value (=0.000) obtained from regression table is less than the value of alpha
0.05, so the null hypothesis is rejected and the alternate hypothesis is accepted. Thus it is
verified that sales promotion has significant impact on stock piling behaviour of
consumers in apparels.
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3.6 HYPOTHESIS 4
H0: Sales promotion does not have significant impact on Brand Switching (Apparels)
HA: Sales promotion has significant impact on Brand switching (Apparels)
Statement no. 8 to 12 measures the brand switching and statement no 13-19 measures the
Sales Promotion.
Model R R
Square
Adjusted
R Square
Std. Error of
the Estimate
Change statistics Durbin watsonR square
changeF change
df1
df2
Sig. F change
1 .484a .234 .226 3.879 .234 29.940 1 98 .000 1.916
a) Predictors: (Constant) Sales Promotion Total
3.61 Correlations
Sales Promotion
Total
Stock Piling Total
Sales Promotion Total Pearson Correlation
Sig. (2-tailed)
N
1
100
.484
.000
100
Stock piling Total Total Pearson Correlation
Sig. (2-tailed)
N
.484
.000
100
1
100
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Model
Un-standardized
Coefficients
Standardized
Coefficients
t. Sig.B Std error
Beta
1. (Constant)
Sales promotion Total
7.995
.343
1.480
.063 .484
5.403
5.472
.000
.000
a) Dependent Variable: Brand Switching (Apparels)
3.62 Analysis:-
The value of correlation between the two variables Brand switching and sales promotion
is 0.484, which is positive in direction and which is significant also. The value of the R2
is .234 which means that sales promotion has significant impact of 23.4% on Brand
switching as when there is sales promotion in apparels then promotions impact directly
on Brand Switching.
Regression equation between the two variables can be established as follows:-
Y = 7.995 + 0.343b.
3.63 Interpretation:-
As the p value (=0.000) obtained from regression table is less than the value of alpha
0.05, so the null hypothesis is rejected and the alternate hypothesis is accepted. Thus it is
verified that sales promotion has significant impact on Brand switching in apparels.
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4.1 Findings of the study:-
The study deals with the impact of the Sales Promotion on the Brand Switching and
Stock Piling behaviour of consumers, since the objective of the study was to study the
effect of promotional strategies on consumer purchase behavior in the electronics
industry & apparels industry.
a) Brand Switching usual takes place when a customer does not get any beneficial
scheme or promotional scheme on a brand which he/she is using. Sometimes customers
switch to non-favourite brand due to good promotional offers.
b).It has been statistically approved that stock piling and sales promotion in electronics
are not directly related to each other. Customers do not stock the electronics products as
the technology keeps on changing from time to time so these products cannot be stocked.
Also electronics is not a convenience good and are generally require a considerable
investment to purchase it.
c) Some past studies shows that there is a direct relationship between sales promotion and
brand switching. Customers usually switch the brands when they get an attractive offer
from another brand, but it does not help all the brands and it is beneficial for short term
purposes.
d) Sales promotion is also a technique to retain the present customers. Usually some
brands give special promotional offers to their existing customers, so that they don’t
switch the brand. This can help in stock piling of the products as customer will tend to
buy more products of same brand.
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e) Customers also stock the products because the products are available at cheaper prices
and in case of electronics customers go for promotional offers where they get more then
one product in less amount.
f) When the sales promotions are on in the apparels, customers usually stock the product
for the future purposes, so there are some other factors responsible for the stock piling.
g) In the apparels industry, when the company provides more and more discounts, brand
losses its identity in market. When the sales promotion increases for the apparels, 72.4%
of the customers usually switch to the another brand to gain the competitive advantage.
h). As the sales promotion increases, the 87% of the respondents usually stock the
apparels to stock the products. Aggressive promotions have the direct impact on the
brand switching due to which brand loses its market share and its image is affected.
i) Women are usually attracted by the promotions due to which they usually switch to
brand in the apparels sector.
j) While purchasing electronics, family decision plays a vital role and thus sometimes
sales promotion does not affect the purchaser’s intention.
k) In Electronics industry, the customer may not switch the brand because he/she may be
brand loyal. Electronics cannot be purchased again and again, so customers will purchase
the same brand which they usually buy and will not switch to another brand.
l) Regression was also used to find out the impact of sales promotion on brand switching
and stock piling behaviour of consumers.
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4.2 Limitation of the study
a) Sample size was restricted to 100 only which acted as a constraint
b) The responses given by respondents are not always accurate because the respondents
give the response according to their interpretation.
c) Survey is a time consuming process but the time to collect the data for research was
very less.
d) This study is limited to Delhi only and result may differ if conducted in other regions.
Also it measures the consumer preference in electronics and apparels industry. If the
same study is repeated for other industry consumer preference of sales promotion
schemes may vary.
e) The study is limited to sales promotion schemes of electronics and apparels industry
categories only and result may vary if study is conducted for other product categories.
f) There are other variables besides sales promotion schemes which affect brand
switching and stock piling behaviour of an individual consumer.
g) Evaluation is based on the primary data generated through questionnaire and accuracy
of the findings entirely depends on the accuracy of such data and unbiased responses of
the customers.
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4.3 Scope for Further Study
The scope of the present is that the focus of the study is limited to the study of consumer
behavior in terms of brand switching and stock piling as affected by the sales promotion.
The study is focused on the electronics and apparels sector. Geographically study is
confined to Delhi. The main scope of this study is to ascertain the effect of sales
promotion of the sales promotions on brand switching and stock piling.
The researcher of the present study believes that the basic questions of the study have
been answered. The current study was aimed at yielding descriptive result on which type
of sales promotion is more preferable. The other important finding of the current study
was the relationship between such variables as Brand switching and stock piling
behaviour with preference to sales promotional. However, this will not answer the
question ―how these relationships occurred. Therefore, in this regard further study is
needed to investigate the reasons behind these associations. As it is mentioned in the
study, the purpose was to investigate preferable sales promotional tool for electronics and
apparels industry. The authors of this study strongly believe that significant findings can
be generated by investigating the topic under different industries as well as in other
product categories also.
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5.1 Recommendations
a) Since there is the inverse relationship between Sales promotion and Brand switching
so the Innovative Sales Promotions techniques must be used such as free sales services
etc in electronic industry to maintain a reasonable customer base so as to decrease brand
switching.
b) Attracting customers is one thing but retaining them is a tedious task which requires
great effort. So in order to maintain a large customer base both these industries have to
introduce new promotional strategies to enhance their brand.
c) Excessive sales promotions erode quality and image of brand therefore sales promotion
as a strategy should be used in precautious manner so as to balance between its
immediate and long term effects.
d) Discounts as a tool of sales promotion if used frequently will deteriorate brand image.
Other innovative ways such as loyalty cards by the companies etc must be introduced to
support the sales promotion function and attract and retain customers.
e) Customers are more price sensitive so they switch to another brand easily during
promotional period. The companies dealing in apparels should create the brand loyalty
among the customers by providing them quality products in better prices as to retain the
customers during promotional period as well.
f) Since the Electronics products are not being purchased in bulk so the companies should
use several other sales promotion activities during the festive season.
g) In both the industries namely apparel and electronic brand switching is a major
concern which beckons a need for developing effective steps to minimize it
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25. http://forum.johnson.cornell.edu/faculty/gupta/Is%20three-fourths%20of%20the
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27. http://journal-archieves30.webs.com/465-474.pdf last accessed on 13.04.2014
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ANNEXURE A : QUESTIONNAIRE
I Pranav Khullar, student of Gitarattan International Business School
affiliated to Guru Gobind Singh Indraprastha University, New Delhi. As a
part of our academic curriculum I am undertaking this research titled “A
Study of Impact of Sales Promotions on Brand Switching and stock piling
Behaviour of Consumers”. Would request your cooperation in form of
honest responses. Rate the statements as per your interest & knowledge from 1 to 5, where 5 is most
considerable, 4 is considerable, 3 is neutral, 2 is less considerable & 1 is very less
considerable.
Part A :-
S.No SCALE ITEMS ELECTRONICS APPARELSSTOCK PILING
1I tend to buy more products when sales
promotions are on. 1 2 3 4 5 1 2 3 4 5
2My basket size increases when sales promotion
are on. 1 2 3 4 5 1 2 3 4 5
3I get drooled by sales promotions and purchase
more products. 1 2 3 4 5 1 2 3 4 5
4 I purchase products in bulk when sales
promotions are on to take the low cost advantage. 1 2 3 4 5 1 2 3 4 5
5Discounts are a major contributor of impulsive buying.
1 2 3 4 5 1 2 3 4 5
6I buy products even when not required during
promotions.
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1 2 3 4 5 1 2 3 4 5
7I usually stock products when sales promotions
are on. 1 2 3 4 5 1 2 3 4 5
BRAND SWITCHING
8 I don’t mind switching my usual brand to take
advantage of promotional offers. 1 2 3 4 5 1 2 3 4 5
9 Price consciousness is higher than Brand
Consciousness. 1 2 3 4 5 1 2 3 4 5
10 Sales promotion attract me to purchase the
product that I have never used it. 1 2 3 4 5 1 2 3 4 5
11 If u get an attractive promotional offer in the
product other then you preferred most, will you
switch over. 1 2 3 4 5 1 2 3 4 5
12 I do not switch my Brand even if competitor products are on heavy discounts.
1 2 3 4 5 1 2 3 4 5
SALES PROMOTION13 I wait for promotions to purchase products.
1 2 3 4 5 1 2 3 4 514 I delay my purchases till there is an attractive
offer. 1 2 3 4 5 1 2 3 4 5
15 Before shopping I see where all promotional
offers are running. 1 2 3 4 5 1 2 3 4 5
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16 Promotions are an important evaluation criteria of
product selection. 1 2 3 4 5 1 2 3 4 5
17 It’s a pleasure shopping during promotional
period. 1 2 3 4 5 1 2 3 4 5
18 I normally buy a brand which is on deal
1 2 3 4 5 1 2 3 4 519 I prefer to wait to take the advantage of
promotional schemes. 1 2 3 4 5 1 2 3 4 5
Part B :-
NAME
SEX Male Female
PROFESSIONBusiness Man Service Student Others
AGE 21-30 31-40 41-50 Above 50
LOCATIONEast Delhi West
DelhiNorth Delhi
South Delhi
Central Delhi
EMAIL ID
THANK YOU FOR YOUR PARTICIPATION AND SUPPORT !
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ANNEXURE B: RELIABILITY STATISTICS OF THE
INSTRUMENT USED IN PRIMARY DATA
Reliability Statistics
Cronbach’s Alpha Cronbach’s Alpha Based on Standardized Items
N of items
.879 .879 19
Item Total Statistics
Item Statistics Mean Std.
Deviatio
n
N
I tend to buy more products when sales
promotion are on.
3.1667 1.11675 30
My basket size increases when sales
promotion are on.
2.7333 .86834 30
I get drooled by sales promotions and
purchase more products.
2.5000 1.07479 30
I purchase products in bulk when sales
promotions are on to take the low cost
advantage.
2.9000 1.34805 30
Discounts are a major contributer of
implusive buying.
3.1000 1.12495 30
I buy products even when not required
during promotions.
2.3000 1.34293 30
I usually stock products when sales
promotion are on.
1.7667 .85836 30
I don’t mind switching my usual brand to 2.7000 1.08755 30
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take advantage of promotional offers.
Price consciousness is higher than Brand
consciousness.
2.6333 1.27261 30
Sales promotion attract me to purchase the
product that I have never used it.
2.3000 1.05536 30
If u get an attractive promotional offer in
the product other then you preferred most,
will you switch over..
2.6000 1.03724 30
I do not switch my Brand even if
competitor products are on heavy
discounts.
2.5667 1.10433 30
I wait for promotions to purchase products. 2.4667 1.13664 30
I delay my purchases till there is an
attractive offer.
2.6000 1.22051 30
Before shopping I see where all
promotional offers are running.
3.0333 1.24522 30
Promotions are an important evaluation
criteria of product selection.
2.8333 1.20583 30
It’s a pleasure shopping during promotional
period.
2.9667 1.15917 30
I normally buy a brand which is on deal 3.0667 1.22990 30
I prefer to wait to take the advantage of
promotional schemes.
2.8000 1.29721 30
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