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A STUDY ON

PROMOTIONAL PRICING VS BRAND SWITCHING WITH RESPECT TO
            1P/SEC SCHEME OF TATA DOCOMO




                      PROJECT Done By

              BHANUCHANDER REDDY .P (09MBA010)

                    SAMPATH .V (09MBA117)

                  SHIVANI KUMARI (09MIB054)

                    VINUSHA .K (09MBA059)




                  UNDER THE GUIDANCE OF

                      Dr.P.GANESAN

                         PROFESSOR




                      JANUARY 2010




                                                  Page | 1
CONTENTS
       S.NO                             TITLE          PAGE NO



              1.                    INTRODUCTION          05




                                                          12
              2.                  LITERATURE REVIEW



                                                          23
              3.                   METHODOLOGY


                                                          27
              4.                   DATA ANALYSIS


                                                          55
              5.                     FINDINGS


                                                          59
        6.                         CONCLUSION



                     TABLES
S.NO         TITLE OF THE TABLE                       PAGE. NO
1            AGE OF THE RESPONDANT

2            GENDER OF THE RESPONDENT

                                                          Page | 2
3    OCCUPATION OF THE RESPONDENT

4    MOBILE SERVICE THE RESPONDENT USES

5    PURPOSE OF USING THE MOBILE SERVICE

6    SPENDING PER MONTH

7    AIRTIME PER DAY

8    FACTOR CONSIDERED MOST WHILE SWITCHIG BRAND

     DOCOMO’S 1 P/SEC PLAN IS BETTER THAN OTHER
9
     SERVICES (LOCAL RATES)

     DOCOMO’S 1 P/SEC PLAN IS BETTER THAN OTHER
10
     SERVICES (STD RATES)

11   USAGE OF 1 P/SEC PLAN

12   WHICH SERVICE –IF USING 1 P/SEC SCHEME

13   INTERESTED IN 1 P/SEC SCHEME

14   IF INTERESTED – WHICH SERVICE

15   DOCOMO’S1P/SEC -BENEFICIARY IN TERMS OF TARIFFS

     TATA DOCOMO’S 1P/SEC PLAN- AS A TACTIC TO
16
     ATTRACT CUSTOMERS

17   PRICING POLICY OF AIRTEL

18   PRICING POLICY OF DOCOMO

19   PRICING POLICY OF AIRCEL

20   PRICING POLICY OF UNINOR

     PRICE IS CONSIDERED AS AN IMPORTANT FACTOR WHILE
21
     SWITCHINGBRAND

     CONSIDERATION OF CALL TARIFFS WHILE SWITCHING
22
     BRAND


                                                        Page | 3
CONSIDERATION OF SMS CHARGES WHILE SWITCHING
23
     BRAND

     CONSIDERATION OF SIM RATES WHILE SWITCHING
24
     BRAND

25   USAGE OF 1P/SEC PLAN- CONSIDERATION OF TARIFFS
     WHILE SWITCHING BRANDS
     USAGE OF 1 P/SEC PLAN- CONSIDERATION OF PRICE AS
26
     AN IMPORTANT FACTOR WHILE SWITCHING BRAND

     PURPOSE OF USAGE OF MOBILE SERVICE-RANKING OF
27
     DOCOMO




                                                        Page | 4
INTRODUCTION




Industry profile:

The Indian telecommunication industry, with about 506.04 million mobile
phone connections (Nov 2009), is the third largest telecommunication network in
the world and the second largest in terms of number of wireless connections. The
Indian telecom industry is one of the fastest growing in the world and is projected
that India will have ‘billion plus’ mobile users by 2015. Projection by several
leading global consultancies is that India’s telecom network will overtake China’s
in the next 10 years. For the past decade or so, telecommunication activities have
gained momentum in India. Efforts have been made from both governmental and
non-governmental platforms to enhance the infrastructure. The idea is to help
modern telecommunication technologies to serve all segments of India’s culturally
diverse society, and to transform it into a country of technologically aware people.

Modern growth:


                                                                            Page | 5
A large population, low telephony penetration levels, and a rise in consumers’
income and spending owing to strong economic growth have helped make India
the fastest-growing telecom market in the world. The first and largest operator is
the state-owned incumbent BSNL, which is also the 7th largest telecom company in
the world in terms of its number of subscribers. BSNL was created by
corporatization of the erstwhile DTS (Department of Telecommunication
Services), a government unit responsible for provision of telephony services.
Subsequently, after the telecommunication policies were revised to allow private
operators, companies such as Vodafone, Bharti Airtel, Tata Indicom, Idea
cellular, Aircel and Loop Mobile have entered the space. In 2008-09, rural India
outpaced urban India in mobile growth rate.
India’s mobile phone market is the fastest growing in the world, with companies
adding some 16.67 million new customers a month.
The total number of telephones in the country crossed the 543 million mark on Oct
2009. The overall tele-density has increased to 44.85% in Oct 2009. In the wireless
segment, 17.65 million subscribers have been added in Nov 2009. The total
wireless subscribers (GSM, CDMA & WLL (F)) base is more than 543.20 million
now. The wire line segment subscriber base stood at 37.16 million with a decline
of 0.13 million in Nov 2009.
The Mobile telecommunications system in India is the second largest in the world
and it was thrown open to private players in the 1990s. The country is divided into
multiple zones, called circles (roughly along state boundaries). Government and
several private players run local and long distance telephone services. Competition
has caused prices to drop and calls across India are one of the cheapest in the
world. The rates are supposed to go down further with new measures to be taken
by the Information Ministry. The mobile service has seen phenomenal growth
since 2000. In September 2004, the number of mobile phone connections has
crossed fixed-line connections. India primarily follows the GSM mobile system, in
the 900 MHz band. Recent operators also operate in the 1800 MHz band. The
dominant players are Airtel, Reliance, Vodafone, Idea cellular and BSNL/MTNL.
There are many smaller players, with operations in only a few states.
International roaming agreements exist between most operators and many foreign
carriers.


                                                                           Page | 6
Introduction of TATA DOCOMO:
Tata Teleservices Provides mobile services under 3 Brand names:

   Tata Indicom (CDMA Mobile operator)
   Tata DoCoMo (GSM Mobile operator)
   Virgin Mobile (CDMA Mobile operator)

Tata DoCoMo was formed in November 2008 as an alliance between Tata
Teleservices and NTT DoCoMo
Currently, Tata Docomo Mobile service is available Bihar & Jharkhand, Tamil
Nadu, Orissa, Andhra Pradesh, Karnataka, Kerala, Kolkata, Mumbai,
Maharashtra & Goa, Madhya Pradesh & Chhattisgarh, Haryana, Chennai,
Eastern Uttar Pradesh, Western Uttar Pradesh, Punjab, Rajasthan, West Bengal.
NTT DoCoMo holds 26 % stake in the jointly formed company. It has also
emerged as the first mobile operator in India to have re-introduced ‘per second’
pulse, after Loop Mobile (formerly BPL Mobile) discontinued their 'pay per
second' service which was introduced in 2004.From October 2009 TRAI
announced that TATA tele service is India's no.1 tele service brand.




                                                                         Page | 7
STUDY OBJECTIVES


   •   Statement of the problem:

       Today, with the increase in number of mobile users, the competition between
mobile network service providers is also increasing drastically. Companies are
introducing many promotional pricing schemes to attract the customers and
increase their market share. Tata docomo came into the market with its
introductory pricing scheme of 1paise billing- 1p/sec both for local and STD. This
offer was a huge success and captured considerable amount of market share.


                                                                           Page | 8
The study deals with whether this scheme (promotional pricing) made the
customers switch their usage of their brand.
MANAGEMENT QUESTION

Management question is a useful way to approach the research process is to state
the basic dilemma that prompts the research and helps to develop it more specific.



   •   MANAGEMENT QUESTION OF OUR STUDY:

       How do consumers evaluate and respond (switch or stick) to promotional
incentives with reference to Tata Docomo’s 1p/sec plan?




                   RESEARCH QUESTION

             A Research Question is the hypothesis of choice that best states the
       objective of the research study. The research question is one of the first
       methodological steps the investigator has to take when undertaking research.
       The research question must be accurately and clearly defined.



   •   RESEARCH QUESTION OF OUR STUDY:


                                                                            Page | 9
•   What is the effect of TATA DOCOMO’s promotional pricing on different
       customer segments?

                   INVESTIGATIVE QUESTIONS

Investigative questions are questions the researcher must answer to satisfactorily
arrived at a conclusion about the research question. To formulate them the
researcher takes a general research question and breaks it into more specific
questions about which to gather data. Investigative questions should be included in
the research proposal as they guide the development of the research design. They
are the foundation for creating the research data collection instrument.



               •   INVESTIGATIVE QUESTIONS OF OUR STUDY:

    Which customer segments are more favorable to TATA DOCOMO’s
     promotional pricing?

    Do other service providers lose their potential customers due to TATA
     DOCOMO’s promotional pricing?

   •   SCOPE OF THE STUDY:


           The present study titled “A study on the effect of promotional pricing on
brand switching with reference to Tata Docomo’s 1p/sec plan.”


      Attempts to analyze the effect of promotional pricing on brand switching.
      Attempts to analyze which customer segments are more favorable to 1p/sec
       plan.


                                                                           Page | 10
Page | 11
LITERATURE REVIEW




Promotional pricing:

       Promotional pricing is a sales and marketing technique. It involves reducing
the price of a product or service to attract customers. This technique can be
effectively used across numerous industries including food services, cosmetics,
and household cleaning supplies.

       Promotional pricing often involves reducing prices to unsustainably low
levels. In some cases, products and services may be sold at or below cost. A buy
one get one free scheme may even be used. When this is done, interest in goods
can be greatly increased; meaning sales are also likely to increase dramatically.



       This technique may be used by retailers or by producers. When it is used by
retailers, the goal is generally to attract attention to the business and to attract
regular customers. When the technique is used by producers, the goal is generally
to attract customers to a product or brand and to encourage brand loyalty.
                                                                                    Page | 12
For example, a clothing store may offer clothing at prices that are below the
manufacturer’s suggested retail price. Shoppers, attracted by the low prices, are
likely to remember that store and visit again when they have apparel needs. A
cosmetic company may offer two compacts of eye shadow for the price of one.
When women need eye shadow again, it is hoped they will be motivated to buy
that brand again.

       What customers are likely to find when they return for a future purchase is
that the prices of these goods have increased. Promotional pricing is usually
temporary. This means that in most cases, quality and experience need to
complement this pricing strategy. If it does not, and customers do not feel there is
anything significant about the product or service, it can be very difficult to get
them to purchase it at higher prices.

       There are other reasons the use of promotional pricing must be used wisely.
If it is not, it can amount to a company losing a great deal of money without the
expected return. If the technique is used too often, for example, consumers may
anticipate the price lowering and refuse to buy goods at the normal price.

       Promotional pricing is typically used when new products are being
introduced to the market. It can also be used to stimulate demand for products or
services with lagging demand. This strategy of price targets buyers who are
looking for the deal.

   Some examples of promotional pricing are:

   •   Special event pricing. Pricing that is 'special' (or lowered) for special
       events such as Christmas, Easter, Valentine's Day, Mother's Day, Super
       Bowl, Thanksgiving and Back to School.
                                                                             Page | 13
•   Rebate programs. Such as a rebate or allowance when buying a home and
    the seller offers a move-in allowance, or a carpet replacement or renovation
    allowance or a rebate for all cash, no financing, and purchases of big ticket
    items like cars.
•   Low or no-interest financing. A number of furniture stores will advertise
    no-interest financing loans for furniture purchases. Car dealerships also offer
    these pricing programs - often for last year's models. This strategy has been
    a sales success for a number of industries in the past, be careful how you use
    it though as consumers are becoming more sensitive to the true value of the
    strategy.
•   Buy One, Get One free or Two for the Price of One. If product costs are
    low, and price includes a healthy profit margin, this may be a good strategy
    to use if you have an overabundance of inventory. Even better if competitive
    pricing comparisons result in your product offer being the better deal.
•   Extended payment terms. This can also be viewed as a hold and pay, or
    lay-away, pricing model. You typically pay a deposit and pay over time.
    You do not get the product until paid up. The renovation and construction
    industry do a variation on this strategy: you usually are required to pay one
    third of the projected cost for the project up-front - this is to help pay for the
    materials; one third about half way through the project and the balance on
    completion. For the business-to-business market, the extended payment
    terms might be pays in net 30 days, or net 60 days or a discount if you pay
    in net 15 days. There are many variations to this pricing strategy.
•   No charge or low-cost warranties. If a business has a good warranty or
    return program (good in the sense that there are no, or few, product failures
    and no, or few, product returns), then it is not a high cost investment for
    them to offer low cost or no cost warranties. Buyers view these types of
                                                                             Page | 14
promotional prices very positively because they believe it shows that the
      business has high confidence in the product's performance.

   The promotional pricing strategy has been over-used in the retail markets and
buyers have developed a healthy skepticism about the reality of the 'deal'. One of
the most often used promotional pricing strategies is the "Going out of Business"
sale; the sale seems to last for years and the business eventually just 'goes out of
business' at that location but then restarts elsewhere.

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,



                                                                             Page | 15
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.

      However, price is not always enough to encourage brand switching. When
this is the case, comparing the quality of one brand to another is a common
approach. With this model, the motivation is that the new Brand B will work just
as well as the more established Brand A. When coupled with a cost savings, the
comparison of quality can often sway long time consumers at least long enough to
give the newer product a try.

      There are consumers who are less concerned with cost. For these users, the
approach is to present the new brand as being of superior quality to the established
brand. Essentially, this means demonstrating that the new brand can do everything
the older brand can do, plus a little more. For example, a product that can be used
to dust wood, glass, and plastic surfaces may be more attractive than a product that
is formulated for glass only. The implication is that the one product can take the
place of three products, and may motivate brand switching.

Article reviews:

Assessing the impact of a very successful price promotion on brand,
category and competitor sales:

      Price promotions are endemic in consumer packaged goods markets. In
1987, Abraham and Lodish reported that many consumer goods categories sold 90
percent of their volume on deal (Abraham and Lodish, 1987).Ten years later, trade
promotions reportedly accounted for 50 per cent of the marketing budgets of US
consumer goods firms (Mela et al., 1997). It is well known that price promotions
produce a short-term volume gain for the brand being promoted (e.g. Blattberg and
Neslin, 1990). Previous research has also indicated that price promotions are
unlikely to have any long-term positive impact for the brand by attracting new
buyers who repeat-buy, as per Ehrenberg et al. (1994). This promotion, with its
                                                                           Page | 16
massive volume uplift and temporary category expansion, did not yield any longer-
term benefits for the brand. The implications for manufacturers are that price
promotions, even those that engender massive short-term volume uplifts, do not
appear to induce new buyers to the brand who buy again later. This means that the
evaluation of such promotions should be strictly based on the immediate effect on
profit margins. This criterion is likely to show price promotions, particularly deep
ones, in a negative light. Dickson (1997, Chapter 16) shows that it is virtually
impossible to make additional contribution to profit from deep price reductions.
From the manufacturer’s perspective, however, this research also showed no
appreciable long-term negative impact on brand sales. If there were such negative
effects, the profit potential from temporary price reductions would be even more
tenuous than currently thought. This is not to say that price promotions do not or
cannot have longer-term negative effects. Evidence shows that repeated use of
promotions can lower reference prices (Kalyanaram and Winer, 1995) and induce
habitual deal-buying (e.g. Blattberg and Neslin, 1990, Chapter 5; Mela et al., 1997,
1998). For managers concerned about the effects on their brands from competitor’s
promotions, this analysis demonstrates that in grocery goods, unpromoted brands
may still sell at approximately normal volume levels even when a competing brand
is being promoted and enjoying a massive sales uplift. The possible problem for
competitor brands in this case appeared to be the longer-termcategory effects. This
massively successful promotion for one brand reduced the total category sales for
the retailer that ran it, for approximately ten weeks following the promotion. This
means that for ten weeks after the promotion, competitor brands had a smaller
market from which to obtain sales in retailer. It is indeed surprising that given this
contraction in category sales, sales for brand X itself did not exhibit a post-
promotion trough. For the retailer, there are also clear implications for current
practice. The results suggest that the benefits to grocery retailers of low-price, high
uplift promotions should be evaluated over the longer-term. Due to the longer-term
negative effect on the category, the total extra volume to the retailer was
considerably less than what immediate reporting would indicate. Indeed, if the
retailer had reduced its own margins during the promotion the overall profit result
might have been negative. This is because it has simply transferred a considerable
amount of normal price sales in future periods to discounted sales (with possibly
lower margins) in the period of the promotion.

Dynamics of price sensitivity among mobile service customers:

      Price sensitivity is one of the key factors affecting to companies pricing
choices. Yet in mobile services sector business practitioners are facing problems in
                                                                              Page | 17
pricing decisions as they are short of knowledge on their customers’ price
sensitivity levels and dynamics. Price has been observed as an important element
affecting the diffusion of new products and services, but pricing of a new product
or service is particularly difficult (Foxall, 1984). To enable accurate pricing
decisions for new products or services, a detailed knowledge on the potential
customers’ perceptions and characteristics is needed. However, though it is known
that price is an integral part of diffusion enhancement activities, we have a very
limited knowledge on its actual effects on the diffusion of mobile services. It is
also more or less unknown how customers of mobile services perceive the charged
prices and what are the dynamics affecting to price perceptions. The perceived
price is formed from the bases of a customer’s experience about mobile services
and in comparison to prices of other optional service delivery channels. Further
challenges for pricing of mobile services is brought by the fast evolving new
wireless technologies and business practices. In this new service environment
traditional pricing strategies have brought unsatisfactory results, a need to develop
pricing has generated. For that purpose it is necessary to study the customers’
subjective price perceptions to enable the creation of more effective pricing
schemes.
In this study the researcher concentrates on studying how mobile service
customers perceive the prices, do customers differ in their price sensitivity levels,
and could customers’ price sensitivity levels be accurately predicted. For these
purposes we have divided mobile service customers into three segments which are
believed to differ in terms of their price sensitivities:
1 mobile segment;
2 combined segment; and
3 fixed-line segment
At an aggregated level, price sensitivity is often used as a synonym for price
elasticity (Link, 1997) and thus also in this study these two terms are seen to as
synonyms. Sensitivity of demand refers to how volume-sensitive a product or a
service is to price changes. Sensitivity represents a valuable strategic tool in
pricing (Tucker, 1966).Price sensitivity on the individual adopter level appears to
be equivalent to the concept of price consciousness for a potential buyer of any
product. Price consciousness has been defined as:
. . . the degree to which he or she is unwilling to pay a high price for a product and
willing to refrain from buying a product whose price is unacceptably high
(Monroe, 1990).Price consciousness is related to the price acceptability level as
well as to the width of latitude of price acceptability(Lichtenstein et al., 1988).
Individuals, who are price conscious, are generally not willing to pay high prices
for the product in question. Furthermore, the range of acceptable prices is
relatively narrow for price conscious individuals (Link, 1997).In studies on price
                                                                             Page | 18
sensitivity in telecommunication industry three different consumer segments have
been identified (e.g. Kollmann, 2000). It has been found that in both ends of
pricing (high-end versus low-end) the price sensitivity is substantially lower, in
other words insensitive. Influencing on these two market segments with pricing
would be most probably ineffective. Thus, for these market segments it would be
most effective to pursue quality-focused marketing strategies (e.g. improvement of
service/speech quality). Along with consumer attitudes and shopping orientation,
there has been significant weight given to price perceptions of consumers, and its
impact on the adoption of product and service innovations.



The price/acceptance function: perspectives of a pricing policy in
European telecommunication markets

Innovation management success for telecommunication products depends not only
on sales, but also, and primarily so, on actual call times by subscribers (e.g. on
their mobile phones). It is not only the purchase price that plays a major role for
this type of service, but also call and rental charges. This study investigates two
potential subscribers' decisions, using the graphic device of a price/acceptance
function and a charge/acceptance function. The first decision is to buy
telecommunications products (accepting the purchase price), and the second
decision is to use these products (accepting the charges for using the product).
In particular, an attempt is made to describe the general profile of the
price/acceptance function through considerations of plausibility. Based on an
empirical experiment, conclusions are drawn for the pricing policy of
telecommunication products. The policy emerging is one of abandoning fixed
basic charges and of giving away end-user sets (e.g. mobile phones) free of charge.




                                                                          Page | 19
The price and acceptance pricing:




The charges/acceptance function:




                                    Page | 20
Switching costs and consumer behavior: implications for
telecommunications regulation
Switching patterns provide an important indicator that the demand-side of a market
is well-developed and that consumers are sufficiently empowered to participate
actively. The motivation to switch is generally a function of consumers’ estimate
of the performance of their existing supplier; and whether or not they believe there
are better alternatives available from other suppliers on the aspects of service that
matter to them. If the market is perceived to be undifferentiated and/or if their
current supplier is perceived to be the best on the market on the criteria that are
important, there is no expected benefit from switching. The ability and willingness
of consumers to switch is critically important. If switching is discouraged or
impeded this could impact not only on the demand-side but also potentially raise
supply side barriers (Barrow, 2007). This is because new entrants could be
deterred from entering the market in the belief that it will be difficult to persuade
consumers to switch from their existing provider. This could diminish the
effectiveness of competition and serve to limit the benefits that consumers would
otherwise derive from it. It is important to note, however, that switching is not the
only measure of a vibrant demand-side, nor is switching necessarily always in a
consumer’s best interests. The decision to engage in co-ordinate information
gathering that will support the decision to switch or not to switch is also important.
If a consumer is satisfied with a current provider, switching is not necessarily an

                                                                             Page | 21
improvement. Moreover, choosing a new service does not necessarily mean
switching provider.




                                                                Page | 22
METHODOLOGY




            RESEARCH METHODOLOGY


Research simply means a search for facts, answers to questions and solution to
problem. It is a purposive investigation, an organized inquiry. It seeks to find
explanations to unexplained phenomenon, to clarify the doubtful propositions and
to correct the misconceived facts. In order to comply with our objective and test
our research hypotheses we design a study based on the effect of corporate social
responsibility on the consumer purchase behavior.



   • TYPE OF RESEARCH
                                                                         Page | 23
Descriptive Research

Descriptive research, also known as statistical research, describes data and
characteristics about the population or phenomenon being studied. Descriptive
research answers the questions who, what, where, when and how.

Although the data description is factual, accurate and systematic, the research
cannot describe what caused a situation. Descriptive research can be said to have a
low requirement for internal validity.

Descriptive research deals with everything that can be counted and studied. But
there are always restrictions to that. Your research must have an impact to the lives
of the people around you.




   • TYPE OF SAMPLING

Sampling is the use of a subset of the population to represent the whole population
for the purpose of. Probability sampling, or random sampling, is a sampling
technique in which the probability of getting any particular sample may be
calculated. For the present study we have taken convenience sampling, a type of
non random/ non probability sampling techniques.



   • SAMPLE SIZE

The sample size for our research is 100 which includes sample of age groups
below 30 and above 30.
                                                                            Page | 24
DATA COLLECTION-

Data collection is the process of collecting information for use in evaluation. The
most common methods are surveys, interviews, pre and post-testing, professional
observation, self-report and review of existing records.          The gathering of
information (figures, words or responses) from administered questionnaires that
describe some situation from which conclusions can be drawn. It is also the
process of gathering and measuring information on variables of interest, in an
established systematic fashion that enables one to answer stated research
questions, test hypotheses, and evaluate outcomes. There are two types of data in
data collection:-

   •   Primary Data-it is the first hand information that is collected for the survey.
       It includes the behavioral responses, measuring attitudes, observation.


                                                                             Page | 25
• Observation

    Consumer’s purchasing behavior of FMCG products

    (P&G, ITC, Britannia, HUL)

•    Questionnaire: Structured and unstructured

•    Secondary data- a secondary source is a document or recording that relates
     or discusses information originally presented elsewhere. A secondary source
     contrasts with a primary source, which is an original source of the
     information being discussed. Secondary sources involve generalization,
     analysis, synthesis, interpretation, or evaluation of the original information.

•    Literature review




     DATA ANALYsIs AND
     INTERpRETATION
                                                                             Page | 26
Data analysis:

TABLE 1: AGE OF THE RESPONDENT


                                 Valid Cumulative
Respondents   Frequency Percent Percent Percent
     <30              70   70.0    70.0      70.0
     >30              30   30.0    30.0     100.0
     Total          100   100.0   100.0




                                                    Page | 27
>30




                                                          <30




Inference:

Out of 100 respondents 70% falls under the age group of less than 30 and 30%
falls under the age group of above 30.



TABLE 2: GENDER OF THE RESPONDENT


               Frequen              Valid   Cumulativ
                  cy    Percent    Percent  e Percent
Vali     male        47    47.0        47.0      47.0
d        fema
                     53    53.0        53.0       100.0
         le
         Total     100    100.0       100.0


                                                                        Page | 28
male


   female




Inference:

Out of 100 respondents, 47% are male and 53% female.



Table 3: Occupation of the respondents


                 Frequen              Valid      Cumulativ
 Occupation         cy   Percent     Percent     e Percent
       busines
                      12      12.0        12.0         12.0
       s
       housew
                        7      7.0         7.0         19.0
       ife
       job            11      11.0        11.0        30.0
       student        70      70.0        70.0       100.0
       Total         100     100.0       100.0




                                                              Page | 29
80




  60




  40




  20




   0
             business   housewif    job          student




Inference:

Out of 100 respondents, 12% comes under the category “business”, 7% are house
wives, 11% comes under the category “job”, and 70% are “students”.

Table 4: mobile service the respondent uses


Mobile           Frequen             Valid   Cumulative
service             cy    Percent   Percent   Percent
          Airtel       37    37.0       37.0       37.0
          Vodaf
                       13    13.0         13.0              50.0
          one
          idea          9     9.0          9.0              59.0
          cell
                        1     1.0          1.0              60.0
          one
          relian
                        6     6.0          6.0              66.0
          ce
          doco
                       34    34.0         34.0             100.0
          mo
                                                                       Page | 30
Total               100          100.0          100.0

  40




  30




  20




  10




  0
        airtel   vodafone         idea      cellone    reliance    docomo




Inference: Out of 100 respondents the mobile users of Airtel are 37%, Vodafone
13%, idea 9%, cell one 1%, reliance 6% and docomo 34%

Table 5: purpose of usage of mobile service


                   Frequen                             Valid        Cumulativ
                      cy   Percent                    Percent       e Percent
Valid   busin
                              3            3.0               3.0               3.0
        ess
        perso
                             64           64.0             64.0               67.0
        nal
        both                 33           33.0            33.0               100.0
        Total               100          100.0           100.0




                                                                                     Page | 31
70



  60



  50



  40



  30



  20



  10


   0
              business          personal             both



Inference:

Out of 100 respondents, 3% use it for business, 64% for personal use and 33% for
business as well as for personal use.



Table 6: spending per month


                Frequen                     Valid   Cumulativ
                   cy    Percent           Percent  e Percent
Valid <100            14    14.0               14.0      14.0
      100-3
                          59    59.0          59.0           73.0
      00
      301-5
                          18    18.0          18.0           91.0
      00
      >500                 9     9.0           9.0          100.0
      Total              100   100.0         100.0



                                                                         Page | 32
70



  60



  50



  40



  30



  20



  10


  0
             <100       100-300       301-500           >500



Inference:

In a month Out of 100 respondents, 14% spend less than 100, 59% spend between
the range of 100- 300, 18% spend between the range of 301-500 and 9% spend
more than 500.

Table 7: airtime per day

                    Frequen                Valid         Cumulativ
                       cy   Percent       Percent        e Percent
Valid    <30mi
                        31         31.0          31.0           31.0
         n
         30min-
                        45         45.0          45.0           76.0
         2hrs
         2hrs-5
                        18         18.0          18.0           94.0
         hrs
         >5hrs           6          6.0           6.0          100.0
         Total         100        100.0         100.0



                                                                       Page | 33
50




  40




  30




  20




  10




   0
             <30min      30min-2hrs         2hrs-5hrs      >5hrs



Inference:

 Out of 100 respondents, 31% talk for less than 30 min per day, 45% talk between
30 min to 2 hours, 18% talk between 2 hours to 5 hours and 6% for more than 5
hours.

Table 8: factor considered while switching brand


                              Frequen                      Valid   Cumulativ
                                 cy    Percent            Percent  e Percent
Valid         price                 45    45.0                45.0      45.0
              good
              network                  48         48.0         48.0       93.0
              coverage
              customer
                                        6           6.0            6.0    99.0
              service
              other
                                        1           1.0            1.0   100.0
              factors
              Total                   100       100.0        100.0

                                                                                 Page | 34
60



  50



  40



  30



  20



  10



   0
             price                      customer service
                     good netw ork coverag                 other factors


Inference:
Out of 100 respondents, 45% consider price, 48% good network coverage, 6%
customer service and 1% other factors (location of dealers, the service providers
used by family members) as an important factor while switching their brand.


Table 9: Docomo’s 1p/sec plan is better than other services (local)


                 Frequen                      Valid   Cumulativ
                    cy    Percent            Percent  e Percent
Valid yes              38    38.0                38.0      38.0
      no               43    43.0                43.0      81.0
      can't
                        19         19.0             19.0            100.0
      say
      Total            100        100.0           100.0




                                                                            Page | 35
50




  40




  30




  20




  10
                yes              no            can't say


Inference:
Out of 100 respondents, 38% think, while 43% don’t, 19% can’t say that
Docomo’s 1p/sec plan is better than other services providers for local call rates.




Table 10: Docomo’s 1p/sec plan is better than other services (STD)


                 Frequen               Valid   Cumulativ
                    cy    Percent     Percent  e Percent
Valid yes              47    47.0         47.0      47.0
      no               35    35.0         35.0      82.0
      can’t
                       18      18.0        18.0            100.0
      say
      Total           100    100.0        100.0




                                                                             Page | 36
50




  40




  30




  20




  10
                yes                 no             can't say


Inference:
Out of 100 respondents, 47% think, while 35% don’t, 18% can’t say that
Docomo’s 1p/sec plan is better than other services providers for STD call rates.




Table11: use of 1p/sec plan


              Frequen                     Valid   Cumulativ
                 cy    Percent           Percent  e Percent
Vali yes            51    51.0               51.0      51.0
d    no             49    49.0               49.0     100.0
     Tota
                      100   100.0          100.0
     l




                                                                           Page | 37
51.5



  51.0




  50.5



  50.0




  49.5




  49.0



  48.5
                    yes                    no


Inference:
Out of 100 respondents, 51% use, while 49 don’t use 1p/sec plan




Table12: if yes which service


                                            Valid       Cumulative
                    Frequency Percent      Percent       Percent
         Airtel            14    14.0          27.5              27.5
         Vodafon
                                1    1.0          2.0              29.4
         e
         reliance            3       3.0          5.9              35.3
         docomo             32      32.0         62.7              98.0
         others              1       1.0          2.0             100.0
         Total              51      51.0        100.0

                                                                          Page | 38
if yes which which service
  40




  30




  20




  10




   0
            airtel     vodafone   reliance    docomo   others




Inference:
Out of 51 respondents who use 1p/sec scheme, 14% use Airtel, 1% use Vodafone,
3% use reliance, 32% use docomo and 1% use other network services.



Table13: if not interested in 1p/sec plan?


                     Frequen                  Valid   Cumulativ
                        cy    Percent        Percent  e Percent
Valid     yes              20    20.0            40.8      40.8
          no               29    29.0            59.2     100.0
          Total            49    49.0           100.0
Missi     Syste
                           51      51.0
ng        m
Total                    100      100.0


                                                                      Page | 39
if no - interested in 1p/sec plan?
  30




  20




  10




   0
                     yes                    no


Inference:
Out of 49 respondents, who don’t use 1p/sec scheme 20% are interested to opt
1p/sec plan while 29% are not.




Table14: if interested, which service


                                         Valid Cumulativ
Respondents      Frequency Percent      Percent e Percent
 Airtel                   8    8.0         40.0       40.0
 Vodafone                 4    4.0         20.0       60.0
 Idea                     1    1.0           5.0      65.0
 cell one                 1    1.0           5.0      70.0
 docomo                   5    5.0         25.0       95.0
 others                   1    1.0           5.0    100.0
 Total                   20   20.0        100.0


                                                                         Page | 40
10




   8




   6




   4




   2




   0
         airtel   vodafone   idea   cellone   docomo    others


Inference:
Out of 20 respondents, who don’t use this scheme but are interested in using this
scheme, 8% prefer Airtel, 4% prefer Vodafone, 1% prefer idea, 1% prefer cell one,
5% prefer docomo, the remaining 1% prefer others (Aircel)



Table15: rating for docomo: beneficiary in terms of tariffs


                         Frequen               Valid      Cumulativ
                            cy   Percent      Percent     e Percent




                                                                         Page | 41
Valid         strongly
                                           4            4.0             4.0               4.0
              disagree
              disagree                     5            5.0             5.0               9.0
              neither
              agree nor                   30          30.0             30.0              39.0
              disagree
              agree                       50          50.0             50.0              89.0
              strongly
                                          11          11.0             11.0             100.0
              agree
              Total                     100         100.0             100.0
  60



  50



  40



  30



  20



  10



   0
        strongly disagree              neither agree nor di            strongly agree
                            disagree                          agree




Inference:
Out of 100 respondents, 4% strongly disagree, 5% disagree, 30 %are neutral, 50%
agree, 11% strongly agree that Docomo’s 1p/sec plan is beneficiary in terms of
tariffs.
Table16: rating for Docomo’s tactic to attract customers (1 p/sec plan)

                               Frequen                            Valid         Cumulativ
                                  cy   Percent                   Percent        e Percent



                                                                                                Page | 42
Valid         strongly
                                           2            2.0             2.0               2.0
              disagree
              disagree                     1            1.0             1.0               3.0
              neither
              agree nor                   38          38.0             38.0              41.0
              disagree
              agree                       25          25.0             25.0              66.0
              strongly
                                          34          34.0             34.0             100.0
              agree
              Total                     100         100.0             100.0

  50




  40




  30




  20




  10




   0
        strongly disagree              neither agree nor di            strongly agree
                            disagree                          agree


Inference:
Out of 100 respondents, 2% strongly disagree, 1% disagree, 38 %are neutral, 25%
agree, 34% strongly agree that Docomo’s 1p/sec plan as a tactic to attract
customers.
Table17: rating for Airtel

                       Frequen                             Valid        Cumulativ
                          cy   Percent                    Percent       e Percent



                                                                                                Page | 43
Valid    excell
                        37       37.0           37.0                37.0
         ent
         good           53       53.0           53.0                90.0
         poor            5        5.0            5.0                95.0
         no
         opinio          5        5.0            5.0            100.0
         n
         Total         100      100.0          100.0
  60



  50




  40



  30




  20




  10



   0
           excellent     good           poor           no opinion


Inference:
Out of 100 respondents, 37% feel that Airtel’s pricing scheme are excellent, 53%
feel it’s good, 5% feel it is poor, while the remaining 5% have no opinion.




Table18: rating for docomo

                   Frequen                Valid          Cumulativ
                      cy   Percent       Percent         e Percent



                                                                           Page | 44
Valid    excell
                         39       39.0           39.0                39.0
         ent
         good            48       48.0           48.0                87.0
         poor             5        5.0            5.0                92.0
         no
         opinio           8        8.0            8.0            100.0
         n
         Total          100      100.0          100.0




  60



  50




  40



  30




  20




  10



   0
            excellent     good           poor           no opinion


Inference:
Out of 100 respondents, 39% feel that Docomo’s pricing scheme are excellent,
48% feel it is good, 5% feel it is poor, while the remaining 8% have no opinion.

Table19: rating for Aircel

                    Frequen                Valid          Cumulativ
                       cy   Percent       Percent         e Percent



                                                                            Page | 45
Valid    excell
                          3        3.0            3.0                 3.0
         ent
         good            28       28.0           28.0                31.0
         poor            56       56.0           56.0                87.0
         no
         opinio          13       13.0           13.0            100.0
         n
         Total          100      100.0          100.0


  60



  50




  40



  30




  20




  10



   0
            excellent     good           poor           no opinion


Inference:
Out of 100 respondents, 3% feel that aircel’s pricing scheme are excellent, 28%
feel it is good, 56% feel it is poor, while the remaining 13% have no opinion.


Table20: rating for uninor

                    Frequen                Valid          Cumulativ
                       cy   Percent       Percent         e Percent



                                                                            Page | 46
Valid    excell
                              13       13.0             13.0                13.0
         ent
         good                 38       38.0             38.0                51.0
         poor                 35       35.0             35.0                86.0
         no
         opinio               14       14.0             14.0            100.0
         n
         Total            100         100.0           100.0


  40




  30




  20




  10




   0
              excellent        good            poor            no opinion


Inference:
Out of 100 respondents, 13% feel that uninor’s pricing scheme are excellent, 38%
feel it is good, 35% feel it is poor, while the remaining 14% have no opinion.


Table21: price is considered as an important factor while switching brand

                  Frequen                      Valid           Cumulative
                     cy   Percent             Percent           Percent
   strongly
                          1           1.0             1.0                     1.0
   disagree
                                                                                    Page | 47
disagree                  3            3.0                 3.0                     4.0
   neither
   agree nor                 7            7.0                 7.0                11.0
   disagree
   agree                    51          51.0                 51.0                62.0
   strongly
                            38          38.0                 38.0              100.0
   agree
   Total                   100        100.0              100.0
  60



  50



  40



  30



  20



  10



   0
       strongly disagree              neither agree nor di           strongly agree
                           disagree                          agree



Inference:

 Out of 100 respondents, 38% strongly agree, 51% agree, 7%neither agree nor
disagree, 3% disagree and 1% strongly disagree that they consider price as an
important factor while switching their brand.

Table22: consideration of call tariffs while switching brand




                                                                                            Page | 48
Freque                             Valid               Cumulative
                              ncy   Percent                    Percent               Percent
 not very
                                      6            6.0                     6.0                  6.0
 important
 not important                        5            5.0                     5.0                 11.0
 neither
 important nor                      14           14.0                 14.0                     25.0
 not important
 important                         26           26.0                 26.0                      51.0
 very important                    49           49.0                 49.0                     100.0
 Total                            100          100.0                100.0

  60



  50



  40



  30



  20



  10



   0
       not very important               neither important no                 very important
                            not important                      important




Inference:
 out of 100 respondents, 6% consider call tariffs as not very important, 5%
consider as not important while 14% consider neither important nor not important,
26% consider as important, 46% consider it as very important while switching
brands.
Table23: consideration of sms tariffs while switching brand


                                                                                                      Page | 49
Freque        Perce           Valid            Cumulative
                                        ncy           nt            Percent            Percent
       not very
                                                8         8.0                8.0               8.0
       important
       not important                          10        10.0                10.0              18.0
       neither
       important nor                          36        36.0                36.0              54.0
       not important
       important                             20 20.0                        20.0              74.0
       very important                        26 26.0                        26.0             100.0
       Total                                100 100.0                      100.0

  40




  30




  20




  10




   0
       not very important               neither important no                very important
                            not important                      important




Inference:
 out of 100 respondents, 8% consider call tariffs as not very important, 10%
consider as not important while 36% consider neither important nor not important,
20% consider as important, 26% consider it as very important while switching
brands.
Table24: consideration of sim prices while switching brand



                                                                                                     Page | 50
Freque            Valid     Cumulative
                 ncy   Percent   Percent     Percent
not very
                   26     26.0      26.0            26.0
important
not important      25     25.0      25.0            51.0
neither
important nor      25     25.0      25.0            76.0
not important
important          18     18.0      18.0            94.0
very
                    6      6.0        6.0          100.0
important
Total             100    100.0     100.0




                                                           Page | 51
30




  20




  10




   0
         not very important               neither important no               very important
                              not important                      important


Inference:
 out of 100 respondents, 6% consider call tariffs as not very important, 5%
consider as not important while 14% consider neither important nor not important,
26% consider as important, 46% consider it as very important while switching
brands.
Table 25: cross tabulation of usage of 1 p/sec and consideration of tariff s
while switching brand:

H0: There is no significant relationship between the usage of 1 p/sec plan and
consideration of call tariffs while switching brand.

                             consideration of call tariffs while switching brand                        Total
                                                     neither
                                                   important
                          not very       not         nor not     importa     very
                         important important important             nt      important
use of        yes
1p/sec                                    3                  3                    8           17   20           51
plan
              no                          3                  2                    6            9   29        49
Total                                     6                  5                   14           26   49       100
                                                                                                    Page | 52
Chi-Square Tests

                                                        Asymp. Sig.
                                Value          df        (2-sided)
   Pearson Chi-Square             4.562a            4           .335
   Likelihood Ratio               4.612             4           .329
   Linear-by-Linear
                                  1.253             1            .263
   Association
   N of Valid Cases                100
      a. 4 cells (40.0%) have expected count less than 5. The
         minimum expected count is 2.45.


From the above table, minimum expected count is less than the value. Therefore
the null hypothesis is not accepted.

From the table and from the test we can say that the there is significant relationship
between the usage of 1 p/sec plan and consideration of call tariffs while switching
their brands.

Table 26: Usage of 1p/sec plan and price is consideration as an important
factor while switching brand

H0: there is no significant relationship between the usage of 1 p/sec plan and
consideration of price while switching brand

                       price is considered as an important factor while
                                       switching brand                         Total
                                           neither
                    strongly disagre agree nor                  strongly
                    disagree      e       disagree    agree       agree
use of    yes
1p/sec                      1         0             6       31           13         51
plan
          no                0         3             1       20           25         49
Total                       1         3             7       51           38        100
                                                                              Page | 53
Chi-Square Tests

                                                            Asymp. Sig.
                              Value             df           (2-sided)
   Pearson Chi-Square          13.699a               4              .008
   Likelihood Ratio            15.714                4              .003
   Linear-by-Linear
                                3.377                1              .066
   Association
   N of Valid Cases                100
        a. 6 cells (60.0%) have expected count less than 5. The
           minimum expected count is .49.


From the above table, minimum expected count is less than the value. Therefore
the null hypothesis is not accepted. Therefore it is inferred that here is a significant
relationship between considering price as an important factor while switching
brand and the usage of 1 p/sec plan.




Table 27: purpose of usage of mobile service * rating for docomo

                                         rating for docomo
                                                                  no       Total
                            excellent    good        poor       opinion
purpose of     business             1         2             0          0        3
usage of       personal            22        33             3          6       64
mobile         both
service
                                  16         13             2         2        33

Total                             39         48             5         8       100




                                                                                    Page | 54
Chi-Square Tests

                                                    Asymp. Sig.
                           Value           df        (2-sided)
  Pearson Chi-Square         2.816a             6           .832
  Likelihood Ratio           3.175              6           .787
  Linear-by-Linear
                               .653             1          .419
  Association
  N of Valid Cases             100
     a. 7 cells (58.3%) have expected count less than 5. The
        minimum expected count is .15.


Inference:

From the above table, minimum expected count is less than the value. Therefore
the null hypothesis is not accepted. Therefore it is inferred that there is a
significant relationship between purpose of usage of mobile service and rating for
docomo.




                                                                           Page | 55
FINDINGs






Findings:

    •   Among the sample, Tata docomo stands second among various brands used
        by the respondents.

    • Most of the respondents spend on an average of Rs.100- 300 per month and
        talk between 30 min to 2 hours per day.



                                                                      Page | 56
•   While switching their brands, customers mostly consider good network
    coverage followed by price.

•   On an average, half of the samples feel Docomo’s 1p/sec plan is good for
    local and STD call rates.

• Among half of the respondents, who use 1p/sec plan docomo stands first
    followed by Airtel.

• Among the remaining half who are not using and interested to use in the
    recent future, docomo stands second.

• More than half of the samples feel that Docomo’s pricing scheme is
    beneficiary in terms of tariffs.

• Most of the respondents agreed that price is considered as an important
    factor while switching their brand.

• While switching brand call tariffs, sms charges are more considered than the
    sim rates.




                                                                      Page | 57
CONCLUsION




Conclusion:

It is a rewarding exercise “to study the promotional pricing vs. brand switching
with reference to 1p/sec scheme of Tata docomo”. From the overall analysis of the

                                                                         Page | 58
study it is noted that promotional pricing plays an important role while brand
switching. But it is also observed that this scheme(promotional pricing) is more
favorable among the customer segments who talk and spend more.




                                                                        Page | 59
AppENDIx




Bibliography:

Websites and links:

www.tatadocomo.com
                             Page | 60
http://www.telesutra.com/2009/09/25/indian-telecom-update-for-august-2009/

http://economictimes.indiatimes.com/News/News-By-Industry/Telecom/Tele-
base-soars-to-543m-as-mobile-cos-add-record-1765m-in-
Nov/articleshow/5370510.cms

http://www.trai.gov.in/WriteReadData/trai/upload/PressReleases/712/pr23dec09no
79.pdf



Books:

      Marketing Research, Rajendra Nargundkar- Tata McGraw-Hill Publishing
       House,2003

      Marketing Management-A South Asian Perspective, Kotler, Keller, Koshy
       and Jha- Pearson Education, 13th edition.

      Business Research Methods, Donald R. Cooper and Pameela S. Schindler-
       Tata McGraw-Hill Publishing House,2003

Journals:

           Journal of Product & Brand Management, Volume 13 · Number 5 · 2004 ·
       pp. 303–314
    Journal of Product & Brand Management, Volume 13 · Number 5 · 2004 ·
     pp. 303–314
    European Journal of Innovation Management, Volume 3 . Number 1 . 2000 .
       pp. 7-14
      VOL. 10 NO. 4 2008, pp. 13-29, Emerald Group Publishing Limited, ISSN
       1463-6697

                                                                        Page | 61
Questionnaire:
Age: ___________     Gender: _________ Occupation: _____________

1. Which mobile service do you use?

a. Airtel   ( )   b. Vodafone ( ) c. Idea ( )

d. Cell one ( )   e. Reliance ( )   f. TATA DOCOMO ( ) g. Uninor ( )

h. TATA Indicom ( )                 i. Other specify.................

2. What is the purpose of your mobile service?
                                                                        Page | 62
a. Business ( ) b. Personal ( ) c. Both ( )

3. How much do you spend on mobile service per month?

a. <100 ( ) b. 100-300 ( ) c. 301-500 ( ) d. >500 ( )

4. How much air time you spend daily on your phone?

a. >30 min ( ) b. 30min -2hrs ( ) c. 2hrs – 5hrs ( ) d. >5 hrs ( )

5. What is the most important factor you consider when you choose mobile service
provider?

 a. Price ( ) b. Good network coverage ( ) c. Customer service ( )



 d. Location of dealer ( ) e. Other please specify: _____________

6. Do you think 1paise/second Tata DOCOMO plan is better than any other
services (for local call rates)?

 a. Yes ( ) b. No ( ) c. Can’t say ( )

7. Do you think 1paisa/second Tata DOCOMO plan better than other offers of
other network providers (for STD call rates)?

  a. Yes ( ) b. No ( ) c. Can’t say ( )

8. Are you using any of the 1 paisa/ sec scheme?

   a. Yes ( ) b. No ( )

9. If yes please specify which mobile service?     __________________

10. If no, then are you interested in 1 paisa/second scheme?

    a. Yes ( ) b. No ( )

11. If you are interested then specify which mobile service would you prefer?

                                                                          Page | 63
Please specify: ____________________

12. What is your opinion about TATA DOCOMO’s one paisa per second billing?
Rate 1 to 5 for the following attributes (1 – strongly agree 2 – agree 3 – neutral 4 –
disagree 5 – strongly disagree)

    a. Beneficiary in terms of tariffs     ___________

    b. As a tactic to attract customers ____________

13. Rate the pricing policy of following telecom services.

      (1-excellent   2-good     3- poor)

    a. Airtel (RS 22 with validity period 1 year-1 p/sec):___

    b. Tata DOCOMO (Rs 49 with life time validity with sim):___

    c. Aircel (Rs 47 with validity 1 month):___

    d. Uninor (Rs. 110 sim + 29 p/min offer): ____

14. While switching the brand, you consider price (call n sms rates) as an
important factor

     a. Strongly agree ( ) b. Agree ( ) c. Neither agree nor disagree ( )



     d. Disagree ( ) e. strongly disagree ( )



15. Rank the following attributes from 1 to 5(1- not very important to 5-very
important) when switch your brand

     a. Call tariffs ________

     b. Sms tariffs _______

     c. Sim prices ________


                                                                              Page | 64
Page | 65

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Brm term paper final

  • 1. A STUDY ON PROMOTIONAL PRICING VS BRAND SWITCHING WITH RESPECT TO 1P/SEC SCHEME OF TATA DOCOMO PROJECT Done By BHANUCHANDER REDDY .P (09MBA010) SAMPATH .V (09MBA117) SHIVANI KUMARI (09MIB054) VINUSHA .K (09MBA059) UNDER THE GUIDANCE OF Dr.P.GANESAN PROFESSOR JANUARY 2010 Page | 1
  • 2. CONTENTS S.NO TITLE PAGE NO 1. INTRODUCTION 05 12 2. LITERATURE REVIEW 23 3. METHODOLOGY 27 4. DATA ANALYSIS 55 5. FINDINGS 59 6. CONCLUSION TABLES S.NO TITLE OF THE TABLE PAGE. NO 1 AGE OF THE RESPONDANT 2 GENDER OF THE RESPONDENT Page | 2
  • 3. 3 OCCUPATION OF THE RESPONDENT 4 MOBILE SERVICE THE RESPONDENT USES 5 PURPOSE OF USING THE MOBILE SERVICE 6 SPENDING PER MONTH 7 AIRTIME PER DAY 8 FACTOR CONSIDERED MOST WHILE SWITCHIG BRAND DOCOMO’S 1 P/SEC PLAN IS BETTER THAN OTHER 9 SERVICES (LOCAL RATES) DOCOMO’S 1 P/SEC PLAN IS BETTER THAN OTHER 10 SERVICES (STD RATES) 11 USAGE OF 1 P/SEC PLAN 12 WHICH SERVICE –IF USING 1 P/SEC SCHEME 13 INTERESTED IN 1 P/SEC SCHEME 14 IF INTERESTED – WHICH SERVICE 15 DOCOMO’S1P/SEC -BENEFICIARY IN TERMS OF TARIFFS TATA DOCOMO’S 1P/SEC PLAN- AS A TACTIC TO 16 ATTRACT CUSTOMERS 17 PRICING POLICY OF AIRTEL 18 PRICING POLICY OF DOCOMO 19 PRICING POLICY OF AIRCEL 20 PRICING POLICY OF UNINOR PRICE IS CONSIDERED AS AN IMPORTANT FACTOR WHILE 21 SWITCHINGBRAND CONSIDERATION OF CALL TARIFFS WHILE SWITCHING 22 BRAND Page | 3
  • 4. CONSIDERATION OF SMS CHARGES WHILE SWITCHING 23 BRAND CONSIDERATION OF SIM RATES WHILE SWITCHING 24 BRAND 25 USAGE OF 1P/SEC PLAN- CONSIDERATION OF TARIFFS WHILE SWITCHING BRANDS USAGE OF 1 P/SEC PLAN- CONSIDERATION OF PRICE AS 26 AN IMPORTANT FACTOR WHILE SWITCHING BRAND PURPOSE OF USAGE OF MOBILE SERVICE-RANKING OF 27 DOCOMO Page | 4
  • 5. INTRODUCTION Industry profile: The Indian telecommunication industry, with about 506.04 million mobile phone connections (Nov 2009), is the third largest telecommunication network in the world and the second largest in terms of number of wireless connections. The Indian telecom industry is one of the fastest growing in the world and is projected that India will have ‘billion plus’ mobile users by 2015. Projection by several leading global consultancies is that India’s telecom network will overtake China’s in the next 10 years. For the past decade or so, telecommunication activities have gained momentum in India. Efforts have been made from both governmental and non-governmental platforms to enhance the infrastructure. The idea is to help modern telecommunication technologies to serve all segments of India’s culturally diverse society, and to transform it into a country of technologically aware people. Modern growth: Page | 5
  • 6. A large population, low telephony penetration levels, and a rise in consumers’ income and spending owing to strong economic growth have helped make India the fastest-growing telecom market in the world. The first and largest operator is the state-owned incumbent BSNL, which is also the 7th largest telecom company in the world in terms of its number of subscribers. BSNL was created by corporatization of the erstwhile DTS (Department of Telecommunication Services), a government unit responsible for provision of telephony services. Subsequently, after the telecommunication policies were revised to allow private operators, companies such as Vodafone, Bharti Airtel, Tata Indicom, Idea cellular, Aircel and Loop Mobile have entered the space. In 2008-09, rural India outpaced urban India in mobile growth rate. India’s mobile phone market is the fastest growing in the world, with companies adding some 16.67 million new customers a month. The total number of telephones in the country crossed the 543 million mark on Oct 2009. The overall tele-density has increased to 44.85% in Oct 2009. In the wireless segment, 17.65 million subscribers have been added in Nov 2009. The total wireless subscribers (GSM, CDMA & WLL (F)) base is more than 543.20 million now. The wire line segment subscriber base stood at 37.16 million with a decline of 0.13 million in Nov 2009. The Mobile telecommunications system in India is the second largest in the world and it was thrown open to private players in the 1990s. The country is divided into multiple zones, called circles (roughly along state boundaries). Government and several private players run local and long distance telephone services. Competition has caused prices to drop and calls across India are one of the cheapest in the world. The rates are supposed to go down further with new measures to be taken by the Information Ministry. The mobile service has seen phenomenal growth since 2000. In September 2004, the number of mobile phone connections has crossed fixed-line connections. India primarily follows the GSM mobile system, in the 900 MHz band. Recent operators also operate in the 1800 MHz band. The dominant players are Airtel, Reliance, Vodafone, Idea cellular and BSNL/MTNL. There are many smaller players, with operations in only a few states. International roaming agreements exist between most operators and many foreign carriers. Page | 6
  • 7. Introduction of TATA DOCOMO: Tata Teleservices Provides mobile services under 3 Brand names:  Tata Indicom (CDMA Mobile operator)  Tata DoCoMo (GSM Mobile operator)  Virgin Mobile (CDMA Mobile operator) Tata DoCoMo was formed in November 2008 as an alliance between Tata Teleservices and NTT DoCoMo Currently, Tata Docomo Mobile service is available Bihar & Jharkhand, Tamil Nadu, Orissa, Andhra Pradesh, Karnataka, Kerala, Kolkata, Mumbai, Maharashtra & Goa, Madhya Pradesh & Chhattisgarh, Haryana, Chennai, Eastern Uttar Pradesh, Western Uttar Pradesh, Punjab, Rajasthan, West Bengal. NTT DoCoMo holds 26 % stake in the jointly formed company. It has also emerged as the first mobile operator in India to have re-introduced ‘per second’ pulse, after Loop Mobile (formerly BPL Mobile) discontinued their 'pay per second' service which was introduced in 2004.From October 2009 TRAI announced that TATA tele service is India's no.1 tele service brand. Page | 7
  • 8. STUDY OBJECTIVES • Statement of the problem: Today, with the increase in number of mobile users, the competition between mobile network service providers is also increasing drastically. Companies are introducing many promotional pricing schemes to attract the customers and increase their market share. Tata docomo came into the market with its introductory pricing scheme of 1paise billing- 1p/sec both for local and STD. This offer was a huge success and captured considerable amount of market share. Page | 8
  • 9. The study deals with whether this scheme (promotional pricing) made the customers switch their usage of their brand. MANAGEMENT QUESTION Management question is a useful way to approach the research process is to state the basic dilemma that prompts the research and helps to develop it more specific. • MANAGEMENT QUESTION OF OUR STUDY: How do consumers evaluate and respond (switch or stick) to promotional incentives with reference to Tata Docomo’s 1p/sec plan? RESEARCH QUESTION A Research Question is the hypothesis of choice that best states the objective of the research study. The research question is one of the first methodological steps the investigator has to take when undertaking research. The research question must be accurately and clearly defined. • RESEARCH QUESTION OF OUR STUDY: Page | 9
  • 10. What is the effect of TATA DOCOMO’s promotional pricing on different customer segments? INVESTIGATIVE QUESTIONS Investigative questions are questions the researcher must answer to satisfactorily arrived at a conclusion about the research question. To formulate them the researcher takes a general research question and breaks it into more specific questions about which to gather data. Investigative questions should be included in the research proposal as they guide the development of the research design. They are the foundation for creating the research data collection instrument. • INVESTIGATIVE QUESTIONS OF OUR STUDY:  Which customer segments are more favorable to TATA DOCOMO’s promotional pricing?  Do other service providers lose their potential customers due to TATA DOCOMO’s promotional pricing? • SCOPE OF THE STUDY: The present study titled “A study on the effect of promotional pricing on brand switching with reference to Tata Docomo’s 1p/sec plan.”  Attempts to analyze the effect of promotional pricing on brand switching.  Attempts to analyze which customer segments are more favorable to 1p/sec plan. Page | 10
  • 12. LITERATURE REVIEW Promotional pricing: Promotional pricing is a sales and marketing technique. It involves reducing the price of a product or service to attract customers. This technique can be effectively used across numerous industries including food services, cosmetics, and household cleaning supplies. Promotional pricing often involves reducing prices to unsustainably low levels. In some cases, products and services may be sold at or below cost. A buy one get one free scheme may even be used. When this is done, interest in goods can be greatly increased; meaning sales are also likely to increase dramatically. This technique may be used by retailers or by producers. When it is used by retailers, the goal is generally to attract attention to the business and to attract regular customers. When the technique is used by producers, the goal is generally to attract customers to a product or brand and to encourage brand loyalty. Page | 12
  • 13. For example, a clothing store may offer clothing at prices that are below the manufacturer’s suggested retail price. Shoppers, attracted by the low prices, are likely to remember that store and visit again when they have apparel needs. A cosmetic company may offer two compacts of eye shadow for the price of one. When women need eye shadow again, it is hoped they will be motivated to buy that brand again. What customers are likely to find when they return for a future purchase is that the prices of these goods have increased. Promotional pricing is usually temporary. This means that in most cases, quality and experience need to complement this pricing strategy. If it does not, and customers do not feel there is anything significant about the product or service, it can be very difficult to get them to purchase it at higher prices. There are other reasons the use of promotional pricing must be used wisely. If it is not, it can amount to a company losing a great deal of money without the expected return. If the technique is used too often, for example, consumers may anticipate the price lowering and refuse to buy goods at the normal price. Promotional pricing is typically used when new products are being introduced to the market. It can also be used to stimulate demand for products or services with lagging demand. This strategy of price targets buyers who are looking for the deal. Some examples of promotional pricing are: • Special event pricing. Pricing that is 'special' (or lowered) for special events such as Christmas, Easter, Valentine's Day, Mother's Day, Super Bowl, Thanksgiving and Back to School. Page | 13
  • 14. Rebate programs. Such as a rebate or allowance when buying a home and the seller offers a move-in allowance, or a carpet replacement or renovation allowance or a rebate for all cash, no financing, and purchases of big ticket items like cars. • Low or no-interest financing. A number of furniture stores will advertise no-interest financing loans for furniture purchases. Car dealerships also offer these pricing programs - often for last year's models. This strategy has been a sales success for a number of industries in the past, be careful how you use it though as consumers are becoming more sensitive to the true value of the strategy. • Buy One, Get One free or Two for the Price of One. If product costs are low, and price includes a healthy profit margin, this may be a good strategy to use if you have an overabundance of inventory. Even better if competitive pricing comparisons result in your product offer being the better deal. • Extended payment terms. This can also be viewed as a hold and pay, or lay-away, pricing model. You typically pay a deposit and pay over time. You do not get the product until paid up. The renovation and construction industry do a variation on this strategy: you usually are required to pay one third of the projected cost for the project up-front - this is to help pay for the materials; one third about half way through the project and the balance on completion. For the business-to-business market, the extended payment terms might be pays in net 30 days, or net 60 days or a discount if you pay in net 15 days. There are many variations to this pricing strategy. • No charge or low-cost warranties. If a business has a good warranty or return program (good in the sense that there are no, or few, product failures and no, or few, product returns), then it is not a high cost investment for them to offer low cost or no cost warranties. Buyers view these types of Page | 14
  • 15. promotional prices very positively because they believe it shows that the business has high confidence in the product's performance. The promotional pricing strategy has been over-used in the retail markets and buyers have developed a healthy skepticism about the reality of the 'deal'. One of the most often used promotional pricing strategies is the "Going out of Business" sale; the sale seems to last for years and the business eventually just 'goes out of business' at that location but then restarts elsewhere. 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, Page | 15
  • 16. 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. However, price is not always enough to encourage brand switching. When this is the case, comparing the quality of one brand to another is a common approach. With this model, the motivation is that the new Brand B will work just as well as the more established Brand A. When coupled with a cost savings, the comparison of quality can often sway long time consumers at least long enough to give the newer product a try. There are consumers who are less concerned with cost. For these users, the approach is to present the new brand as being of superior quality to the established brand. Essentially, this means demonstrating that the new brand can do everything the older brand can do, plus a little more. For example, a product that can be used to dust wood, glass, and plastic surfaces may be more attractive than a product that is formulated for glass only. The implication is that the one product can take the place of three products, and may motivate brand switching. Article reviews: Assessing the impact of a very successful price promotion on brand, category and competitor sales: Price promotions are endemic in consumer packaged goods markets. In 1987, Abraham and Lodish reported that many consumer goods categories sold 90 percent of their volume on deal (Abraham and Lodish, 1987).Ten years later, trade promotions reportedly accounted for 50 per cent of the marketing budgets of US consumer goods firms (Mela et al., 1997). It is well known that price promotions produce a short-term volume gain for the brand being promoted (e.g. Blattberg and Neslin, 1990). Previous research has also indicated that price promotions are unlikely to have any long-term positive impact for the brand by attracting new buyers who repeat-buy, as per Ehrenberg et al. (1994). This promotion, with its Page | 16
  • 17. massive volume uplift and temporary category expansion, did not yield any longer- term benefits for the brand. The implications for manufacturers are that price promotions, even those that engender massive short-term volume uplifts, do not appear to induce new buyers to the brand who buy again later. This means that the evaluation of such promotions should be strictly based on the immediate effect on profit margins. This criterion is likely to show price promotions, particularly deep ones, in a negative light. Dickson (1997, Chapter 16) shows that it is virtually impossible to make additional contribution to profit from deep price reductions. From the manufacturer’s perspective, however, this research also showed no appreciable long-term negative impact on brand sales. If there were such negative effects, the profit potential from temporary price reductions would be even more tenuous than currently thought. This is not to say that price promotions do not or cannot have longer-term negative effects. Evidence shows that repeated use of promotions can lower reference prices (Kalyanaram and Winer, 1995) and induce habitual deal-buying (e.g. Blattberg and Neslin, 1990, Chapter 5; Mela et al., 1997, 1998). For managers concerned about the effects on their brands from competitor’s promotions, this analysis demonstrates that in grocery goods, unpromoted brands may still sell at approximately normal volume levels even when a competing brand is being promoted and enjoying a massive sales uplift. The possible problem for competitor brands in this case appeared to be the longer-termcategory effects. This massively successful promotion for one brand reduced the total category sales for the retailer that ran it, for approximately ten weeks following the promotion. This means that for ten weeks after the promotion, competitor brands had a smaller market from which to obtain sales in retailer. It is indeed surprising that given this contraction in category sales, sales for brand X itself did not exhibit a post- promotion trough. For the retailer, there are also clear implications for current practice. The results suggest that the benefits to grocery retailers of low-price, high uplift promotions should be evaluated over the longer-term. Due to the longer-term negative effect on the category, the total extra volume to the retailer was considerably less than what immediate reporting would indicate. Indeed, if the retailer had reduced its own margins during the promotion the overall profit result might have been negative. This is because it has simply transferred a considerable amount of normal price sales in future periods to discounted sales (with possibly lower margins) in the period of the promotion. Dynamics of price sensitivity among mobile service customers: Price sensitivity is one of the key factors affecting to companies pricing choices. Yet in mobile services sector business practitioners are facing problems in Page | 17
  • 18. pricing decisions as they are short of knowledge on their customers’ price sensitivity levels and dynamics. Price has been observed as an important element affecting the diffusion of new products and services, but pricing of a new product or service is particularly difficult (Foxall, 1984). To enable accurate pricing decisions for new products or services, a detailed knowledge on the potential customers’ perceptions and characteristics is needed. However, though it is known that price is an integral part of diffusion enhancement activities, we have a very limited knowledge on its actual effects on the diffusion of mobile services. It is also more or less unknown how customers of mobile services perceive the charged prices and what are the dynamics affecting to price perceptions. The perceived price is formed from the bases of a customer’s experience about mobile services and in comparison to prices of other optional service delivery channels. Further challenges for pricing of mobile services is brought by the fast evolving new wireless technologies and business practices. In this new service environment traditional pricing strategies have brought unsatisfactory results, a need to develop pricing has generated. For that purpose it is necessary to study the customers’ subjective price perceptions to enable the creation of more effective pricing schemes. In this study the researcher concentrates on studying how mobile service customers perceive the prices, do customers differ in their price sensitivity levels, and could customers’ price sensitivity levels be accurately predicted. For these purposes we have divided mobile service customers into three segments which are believed to differ in terms of their price sensitivities: 1 mobile segment; 2 combined segment; and 3 fixed-line segment At an aggregated level, price sensitivity is often used as a synonym for price elasticity (Link, 1997) and thus also in this study these two terms are seen to as synonyms. Sensitivity of demand refers to how volume-sensitive a product or a service is to price changes. Sensitivity represents a valuable strategic tool in pricing (Tucker, 1966).Price sensitivity on the individual adopter level appears to be equivalent to the concept of price consciousness for a potential buyer of any product. Price consciousness has been defined as: . . . the degree to which he or she is unwilling to pay a high price for a product and willing to refrain from buying a product whose price is unacceptably high (Monroe, 1990).Price consciousness is related to the price acceptability level as well as to the width of latitude of price acceptability(Lichtenstein et al., 1988). Individuals, who are price conscious, are generally not willing to pay high prices for the product in question. Furthermore, the range of acceptable prices is relatively narrow for price conscious individuals (Link, 1997).In studies on price Page | 18
  • 19. sensitivity in telecommunication industry three different consumer segments have been identified (e.g. Kollmann, 2000). It has been found that in both ends of pricing (high-end versus low-end) the price sensitivity is substantially lower, in other words insensitive. Influencing on these two market segments with pricing would be most probably ineffective. Thus, for these market segments it would be most effective to pursue quality-focused marketing strategies (e.g. improvement of service/speech quality). Along with consumer attitudes and shopping orientation, there has been significant weight given to price perceptions of consumers, and its impact on the adoption of product and service innovations. The price/acceptance function: perspectives of a pricing policy in European telecommunication markets Innovation management success for telecommunication products depends not only on sales, but also, and primarily so, on actual call times by subscribers (e.g. on their mobile phones). It is not only the purchase price that plays a major role for this type of service, but also call and rental charges. This study investigates two potential subscribers' decisions, using the graphic device of a price/acceptance function and a charge/acceptance function. The first decision is to buy telecommunications products (accepting the purchase price), and the second decision is to use these products (accepting the charges for using the product). In particular, an attempt is made to describe the general profile of the price/acceptance function through considerations of plausibility. Based on an empirical experiment, conclusions are drawn for the pricing policy of telecommunication products. The policy emerging is one of abandoning fixed basic charges and of giving away end-user sets (e.g. mobile phones) free of charge. Page | 19
  • 20. The price and acceptance pricing: The charges/acceptance function: Page | 20
  • 21. Switching costs and consumer behavior: implications for telecommunications regulation Switching patterns provide an important indicator that the demand-side of a market is well-developed and that consumers are sufficiently empowered to participate actively. The motivation to switch is generally a function of consumers’ estimate of the performance of their existing supplier; and whether or not they believe there are better alternatives available from other suppliers on the aspects of service that matter to them. If the market is perceived to be undifferentiated and/or if their current supplier is perceived to be the best on the market on the criteria that are important, there is no expected benefit from switching. The ability and willingness of consumers to switch is critically important. If switching is discouraged or impeded this could impact not only on the demand-side but also potentially raise supply side barriers (Barrow, 2007). This is because new entrants could be deterred from entering the market in the belief that it will be difficult to persuade consumers to switch from their existing provider. This could diminish the effectiveness of competition and serve to limit the benefits that consumers would otherwise derive from it. It is important to note, however, that switching is not the only measure of a vibrant demand-side, nor is switching necessarily always in a consumer’s best interests. The decision to engage in co-ordinate information gathering that will support the decision to switch or not to switch is also important. If a consumer is satisfied with a current provider, switching is not necessarily an Page | 21
  • 22. improvement. Moreover, choosing a new service does not necessarily mean switching provider. Page | 22
  • 23. METHODOLOGY RESEARCH METHODOLOGY Research simply means a search for facts, answers to questions and solution to problem. It is a purposive investigation, an organized inquiry. It seeks to find explanations to unexplained phenomenon, to clarify the doubtful propositions and to correct the misconceived facts. In order to comply with our objective and test our research hypotheses we design a study based on the effect of corporate social responsibility on the consumer purchase behavior. • TYPE OF RESEARCH Page | 23
  • 24. Descriptive Research Descriptive research, also known as statistical research, describes data and characteristics about the population or phenomenon being studied. Descriptive research answers the questions who, what, where, when and how. Although the data description is factual, accurate and systematic, the research cannot describe what caused a situation. Descriptive research can be said to have a low requirement for internal validity. Descriptive research deals with everything that can be counted and studied. But there are always restrictions to that. Your research must have an impact to the lives of the people around you. • TYPE OF SAMPLING Sampling is the use of a subset of the population to represent the whole population for the purpose of. Probability sampling, or random sampling, is a sampling technique in which the probability of getting any particular sample may be calculated. For the present study we have taken convenience sampling, a type of non random/ non probability sampling techniques. • SAMPLE SIZE The sample size for our research is 100 which includes sample of age groups below 30 and above 30. Page | 24
  • 25. DATA COLLECTION- Data collection is the process of collecting information for use in evaluation. The most common methods are surveys, interviews, pre and post-testing, professional observation, self-report and review of existing records. The gathering of information (figures, words or responses) from administered questionnaires that describe some situation from which conclusions can be drawn. It is also the process of gathering and measuring information on variables of interest, in an established systematic fashion that enables one to answer stated research questions, test hypotheses, and evaluate outcomes. There are two types of data in data collection:- • Primary Data-it is the first hand information that is collected for the survey. It includes the behavioral responses, measuring attitudes, observation. Page | 25
  • 26. • Observation Consumer’s purchasing behavior of FMCG products (P&G, ITC, Britannia, HUL) • Questionnaire: Structured and unstructured • Secondary data- a secondary source is a document or recording that relates or discusses information originally presented elsewhere. A secondary source contrasts with a primary source, which is an original source of the information being discussed. Secondary sources involve generalization, analysis, synthesis, interpretation, or evaluation of the original information. • Literature review DATA ANALYsIs AND INTERpRETATION Page | 26
  • 27. Data analysis: TABLE 1: AGE OF THE RESPONDENT Valid Cumulative Respondents Frequency Percent Percent Percent <30 70 70.0 70.0 70.0 >30 30 30.0 30.0 100.0 Total 100 100.0 100.0 Page | 27
  • 28. >30 <30 Inference: Out of 100 respondents 70% falls under the age group of less than 30 and 30% falls under the age group of above 30. TABLE 2: GENDER OF THE RESPONDENT Frequen Valid Cumulativ cy Percent Percent e Percent Vali male 47 47.0 47.0 47.0 d fema 53 53.0 53.0 100.0 le Total 100 100.0 100.0 Page | 28
  • 29. male female Inference: Out of 100 respondents, 47% are male and 53% female. Table 3: Occupation of the respondents Frequen Valid Cumulativ Occupation cy Percent Percent e Percent busines 12 12.0 12.0 12.0 s housew 7 7.0 7.0 19.0 ife job 11 11.0 11.0 30.0 student 70 70.0 70.0 100.0 Total 100 100.0 100.0 Page | 29
  • 30. 80 60 40 20 0 business housewif job student Inference: Out of 100 respondents, 12% comes under the category “business”, 7% are house wives, 11% comes under the category “job”, and 70% are “students”. Table 4: mobile service the respondent uses Mobile Frequen Valid Cumulative service cy Percent Percent Percent Airtel 37 37.0 37.0 37.0 Vodaf 13 13.0 13.0 50.0 one idea 9 9.0 9.0 59.0 cell 1 1.0 1.0 60.0 one relian 6 6.0 6.0 66.0 ce doco 34 34.0 34.0 100.0 mo Page | 30
  • 31. Total 100 100.0 100.0 40 30 20 10 0 airtel vodafone idea cellone reliance docomo Inference: Out of 100 respondents the mobile users of Airtel are 37%, Vodafone 13%, idea 9%, cell one 1%, reliance 6% and docomo 34% Table 5: purpose of usage of mobile service Frequen Valid Cumulativ cy Percent Percent e Percent Valid busin 3 3.0 3.0 3.0 ess perso 64 64.0 64.0 67.0 nal both 33 33.0 33.0 100.0 Total 100 100.0 100.0 Page | 31
  • 32. 70 60 50 40 30 20 10 0 business personal both Inference: Out of 100 respondents, 3% use it for business, 64% for personal use and 33% for business as well as for personal use. Table 6: spending per month Frequen Valid Cumulativ cy Percent Percent e Percent Valid <100 14 14.0 14.0 14.0 100-3 59 59.0 59.0 73.0 00 301-5 18 18.0 18.0 91.0 00 >500 9 9.0 9.0 100.0 Total 100 100.0 100.0 Page | 32
  • 33. 70 60 50 40 30 20 10 0 <100 100-300 301-500 >500 Inference: In a month Out of 100 respondents, 14% spend less than 100, 59% spend between the range of 100- 300, 18% spend between the range of 301-500 and 9% spend more than 500. Table 7: airtime per day Frequen Valid Cumulativ cy Percent Percent e Percent Valid <30mi 31 31.0 31.0 31.0 n 30min- 45 45.0 45.0 76.0 2hrs 2hrs-5 18 18.0 18.0 94.0 hrs >5hrs 6 6.0 6.0 100.0 Total 100 100.0 100.0 Page | 33
  • 34. 50 40 30 20 10 0 <30min 30min-2hrs 2hrs-5hrs >5hrs Inference: Out of 100 respondents, 31% talk for less than 30 min per day, 45% talk between 30 min to 2 hours, 18% talk between 2 hours to 5 hours and 6% for more than 5 hours. Table 8: factor considered while switching brand Frequen Valid Cumulativ cy Percent Percent e Percent Valid price 45 45.0 45.0 45.0 good network 48 48.0 48.0 93.0 coverage customer 6 6.0 6.0 99.0 service other 1 1.0 1.0 100.0 factors Total 100 100.0 100.0 Page | 34
  • 35. 60 50 40 30 20 10 0 price customer service good netw ork coverag other factors Inference: Out of 100 respondents, 45% consider price, 48% good network coverage, 6% customer service and 1% other factors (location of dealers, the service providers used by family members) as an important factor while switching their brand. Table 9: Docomo’s 1p/sec plan is better than other services (local) Frequen Valid Cumulativ cy Percent Percent e Percent Valid yes 38 38.0 38.0 38.0 no 43 43.0 43.0 81.0 can't 19 19.0 19.0 100.0 say Total 100 100.0 100.0 Page | 35
  • 36. 50 40 30 20 10 yes no can't say Inference: Out of 100 respondents, 38% think, while 43% don’t, 19% can’t say that Docomo’s 1p/sec plan is better than other services providers for local call rates. Table 10: Docomo’s 1p/sec plan is better than other services (STD) Frequen Valid Cumulativ cy Percent Percent e Percent Valid yes 47 47.0 47.0 47.0 no 35 35.0 35.0 82.0 can’t 18 18.0 18.0 100.0 say Total 100 100.0 100.0 Page | 36
  • 37. 50 40 30 20 10 yes no can't say Inference: Out of 100 respondents, 47% think, while 35% don’t, 18% can’t say that Docomo’s 1p/sec plan is better than other services providers for STD call rates. Table11: use of 1p/sec plan Frequen Valid Cumulativ cy Percent Percent e Percent Vali yes 51 51.0 51.0 51.0 d no 49 49.0 49.0 100.0 Tota 100 100.0 100.0 l Page | 37
  • 38. 51.5 51.0 50.5 50.0 49.5 49.0 48.5 yes no Inference: Out of 100 respondents, 51% use, while 49 don’t use 1p/sec plan Table12: if yes which service Valid Cumulative Frequency Percent Percent Percent Airtel 14 14.0 27.5 27.5 Vodafon 1 1.0 2.0 29.4 e reliance 3 3.0 5.9 35.3 docomo 32 32.0 62.7 98.0 others 1 1.0 2.0 100.0 Total 51 51.0 100.0 Page | 38
  • 39. if yes which which service 40 30 20 10 0 airtel vodafone reliance docomo others Inference: Out of 51 respondents who use 1p/sec scheme, 14% use Airtel, 1% use Vodafone, 3% use reliance, 32% use docomo and 1% use other network services. Table13: if not interested in 1p/sec plan? Frequen Valid Cumulativ cy Percent Percent e Percent Valid yes 20 20.0 40.8 40.8 no 29 29.0 59.2 100.0 Total 49 49.0 100.0 Missi Syste 51 51.0 ng m Total 100 100.0 Page | 39
  • 40. if no - interested in 1p/sec plan? 30 20 10 0 yes no Inference: Out of 49 respondents, who don’t use 1p/sec scheme 20% are interested to opt 1p/sec plan while 29% are not. Table14: if interested, which service Valid Cumulativ Respondents Frequency Percent Percent e Percent Airtel 8 8.0 40.0 40.0 Vodafone 4 4.0 20.0 60.0 Idea 1 1.0 5.0 65.0 cell one 1 1.0 5.0 70.0 docomo 5 5.0 25.0 95.0 others 1 1.0 5.0 100.0 Total 20 20.0 100.0 Page | 40
  • 41. 10 8 6 4 2 0 airtel vodafone idea cellone docomo others Inference: Out of 20 respondents, who don’t use this scheme but are interested in using this scheme, 8% prefer Airtel, 4% prefer Vodafone, 1% prefer idea, 1% prefer cell one, 5% prefer docomo, the remaining 1% prefer others (Aircel) Table15: rating for docomo: beneficiary in terms of tariffs Frequen Valid Cumulativ cy Percent Percent e Percent Page | 41
  • 42. Valid strongly 4 4.0 4.0 4.0 disagree disagree 5 5.0 5.0 9.0 neither agree nor 30 30.0 30.0 39.0 disagree agree 50 50.0 50.0 89.0 strongly 11 11.0 11.0 100.0 agree Total 100 100.0 100.0 60 50 40 30 20 10 0 strongly disagree neither agree nor di strongly agree disagree agree Inference: Out of 100 respondents, 4% strongly disagree, 5% disagree, 30 %are neutral, 50% agree, 11% strongly agree that Docomo’s 1p/sec plan is beneficiary in terms of tariffs. Table16: rating for Docomo’s tactic to attract customers (1 p/sec plan) Frequen Valid Cumulativ cy Percent Percent e Percent Page | 42
  • 43. Valid strongly 2 2.0 2.0 2.0 disagree disagree 1 1.0 1.0 3.0 neither agree nor 38 38.0 38.0 41.0 disagree agree 25 25.0 25.0 66.0 strongly 34 34.0 34.0 100.0 agree Total 100 100.0 100.0 50 40 30 20 10 0 strongly disagree neither agree nor di strongly agree disagree agree Inference: Out of 100 respondents, 2% strongly disagree, 1% disagree, 38 %are neutral, 25% agree, 34% strongly agree that Docomo’s 1p/sec plan as a tactic to attract customers. Table17: rating for Airtel Frequen Valid Cumulativ cy Percent Percent e Percent Page | 43
  • 44. Valid excell 37 37.0 37.0 37.0 ent good 53 53.0 53.0 90.0 poor 5 5.0 5.0 95.0 no opinio 5 5.0 5.0 100.0 n Total 100 100.0 100.0 60 50 40 30 20 10 0 excellent good poor no opinion Inference: Out of 100 respondents, 37% feel that Airtel’s pricing scheme are excellent, 53% feel it’s good, 5% feel it is poor, while the remaining 5% have no opinion. Table18: rating for docomo Frequen Valid Cumulativ cy Percent Percent e Percent Page | 44
  • 45. Valid excell 39 39.0 39.0 39.0 ent good 48 48.0 48.0 87.0 poor 5 5.0 5.0 92.0 no opinio 8 8.0 8.0 100.0 n Total 100 100.0 100.0 60 50 40 30 20 10 0 excellent good poor no opinion Inference: Out of 100 respondents, 39% feel that Docomo’s pricing scheme are excellent, 48% feel it is good, 5% feel it is poor, while the remaining 8% have no opinion. Table19: rating for Aircel Frequen Valid Cumulativ cy Percent Percent e Percent Page | 45
  • 46. Valid excell 3 3.0 3.0 3.0 ent good 28 28.0 28.0 31.0 poor 56 56.0 56.0 87.0 no opinio 13 13.0 13.0 100.0 n Total 100 100.0 100.0 60 50 40 30 20 10 0 excellent good poor no opinion Inference: Out of 100 respondents, 3% feel that aircel’s pricing scheme are excellent, 28% feel it is good, 56% feel it is poor, while the remaining 13% have no opinion. Table20: rating for uninor Frequen Valid Cumulativ cy Percent Percent e Percent Page | 46
  • 47. Valid excell 13 13.0 13.0 13.0 ent good 38 38.0 38.0 51.0 poor 35 35.0 35.0 86.0 no opinio 14 14.0 14.0 100.0 n Total 100 100.0 100.0 40 30 20 10 0 excellent good poor no opinion Inference: Out of 100 respondents, 13% feel that uninor’s pricing scheme are excellent, 38% feel it is good, 35% feel it is poor, while the remaining 14% have no opinion. Table21: price is considered as an important factor while switching brand Frequen Valid Cumulative cy Percent Percent Percent strongly 1 1.0 1.0 1.0 disagree Page | 47
  • 48. disagree 3 3.0 3.0 4.0 neither agree nor 7 7.0 7.0 11.0 disagree agree 51 51.0 51.0 62.0 strongly 38 38.0 38.0 100.0 agree Total 100 100.0 100.0 60 50 40 30 20 10 0 strongly disagree neither agree nor di strongly agree disagree agree Inference: Out of 100 respondents, 38% strongly agree, 51% agree, 7%neither agree nor disagree, 3% disagree and 1% strongly disagree that they consider price as an important factor while switching their brand. Table22: consideration of call tariffs while switching brand Page | 48
  • 49. Freque Valid Cumulative ncy Percent Percent Percent not very 6 6.0 6.0 6.0 important not important 5 5.0 5.0 11.0 neither important nor 14 14.0 14.0 25.0 not important important 26 26.0 26.0 51.0 very important 49 49.0 49.0 100.0 Total 100 100.0 100.0 60 50 40 30 20 10 0 not very important neither important no very important not important important Inference: out of 100 respondents, 6% consider call tariffs as not very important, 5% consider as not important while 14% consider neither important nor not important, 26% consider as important, 46% consider it as very important while switching brands. Table23: consideration of sms tariffs while switching brand Page | 49
  • 50. Freque Perce Valid Cumulative ncy nt Percent Percent not very 8 8.0 8.0 8.0 important not important 10 10.0 10.0 18.0 neither important nor 36 36.0 36.0 54.0 not important important 20 20.0 20.0 74.0 very important 26 26.0 26.0 100.0 Total 100 100.0 100.0 40 30 20 10 0 not very important neither important no very important not important important Inference: out of 100 respondents, 8% consider call tariffs as not very important, 10% consider as not important while 36% consider neither important nor not important, 20% consider as important, 26% consider it as very important while switching brands. Table24: consideration of sim prices while switching brand Page | 50
  • 51. Freque Valid Cumulative ncy Percent Percent Percent not very 26 26.0 26.0 26.0 important not important 25 25.0 25.0 51.0 neither important nor 25 25.0 25.0 76.0 not important important 18 18.0 18.0 94.0 very 6 6.0 6.0 100.0 important Total 100 100.0 100.0 Page | 51
  • 52. 30 20 10 0 not very important neither important no very important not important important Inference: out of 100 respondents, 6% consider call tariffs as not very important, 5% consider as not important while 14% consider neither important nor not important, 26% consider as important, 46% consider it as very important while switching brands. Table 25: cross tabulation of usage of 1 p/sec and consideration of tariff s while switching brand: H0: There is no significant relationship between the usage of 1 p/sec plan and consideration of call tariffs while switching brand. consideration of call tariffs while switching brand Total neither important not very not nor not importa very important important important nt important use of yes 1p/sec 3 3 8 17 20 51 plan no 3 2 6 9 29 49 Total 6 5 14 26 49 100 Page | 52
  • 53. Chi-Square Tests Asymp. Sig. Value df (2-sided) Pearson Chi-Square 4.562a 4 .335 Likelihood Ratio 4.612 4 .329 Linear-by-Linear 1.253 1 .263 Association N of Valid Cases 100 a. 4 cells (40.0%) have expected count less than 5. The minimum expected count is 2.45. From the above table, minimum expected count is less than the value. Therefore the null hypothesis is not accepted. From the table and from the test we can say that the there is significant relationship between the usage of 1 p/sec plan and consideration of call tariffs while switching their brands. Table 26: Usage of 1p/sec plan and price is consideration as an important factor while switching brand H0: there is no significant relationship between the usage of 1 p/sec plan and consideration of price while switching brand price is considered as an important factor while switching brand Total neither strongly disagre agree nor strongly disagree e disagree agree agree use of yes 1p/sec 1 0 6 31 13 51 plan no 0 3 1 20 25 49 Total 1 3 7 51 38 100 Page | 53
  • 54. Chi-Square Tests Asymp. Sig. Value df (2-sided) Pearson Chi-Square 13.699a 4 .008 Likelihood Ratio 15.714 4 .003 Linear-by-Linear 3.377 1 .066 Association N of Valid Cases 100 a. 6 cells (60.0%) have expected count less than 5. The minimum expected count is .49. From the above table, minimum expected count is less than the value. Therefore the null hypothesis is not accepted. Therefore it is inferred that here is a significant relationship between considering price as an important factor while switching brand and the usage of 1 p/sec plan. Table 27: purpose of usage of mobile service * rating for docomo rating for docomo no Total excellent good poor opinion purpose of business 1 2 0 0 3 usage of personal 22 33 3 6 64 mobile both service 16 13 2 2 33 Total 39 48 5 8 100 Page | 54
  • 55. Chi-Square Tests Asymp. Sig. Value df (2-sided) Pearson Chi-Square 2.816a 6 .832 Likelihood Ratio 3.175 6 .787 Linear-by-Linear .653 1 .419 Association N of Valid Cases 100 a. 7 cells (58.3%) have expected count less than 5. The minimum expected count is .15. Inference: From the above table, minimum expected count is less than the value. Therefore the null hypothesis is not accepted. Therefore it is inferred that there is a significant relationship between purpose of usage of mobile service and rating for docomo. Page | 55
  • 56. FINDINGs Findings: • Among the sample, Tata docomo stands second among various brands used by the respondents. • Most of the respondents spend on an average of Rs.100- 300 per month and talk between 30 min to 2 hours per day. Page | 56
  • 57. While switching their brands, customers mostly consider good network coverage followed by price. • On an average, half of the samples feel Docomo’s 1p/sec plan is good for local and STD call rates. • Among half of the respondents, who use 1p/sec plan docomo stands first followed by Airtel. • Among the remaining half who are not using and interested to use in the recent future, docomo stands second. • More than half of the samples feel that Docomo’s pricing scheme is beneficiary in terms of tariffs. • Most of the respondents agreed that price is considered as an important factor while switching their brand. • While switching brand call tariffs, sms charges are more considered than the sim rates. Page | 57
  • 58. CONCLUsION Conclusion: It is a rewarding exercise “to study the promotional pricing vs. brand switching with reference to 1p/sec scheme of Tata docomo”. From the overall analysis of the Page | 58
  • 59. study it is noted that promotional pricing plays an important role while brand switching. But it is also observed that this scheme(promotional pricing) is more favorable among the customer segments who talk and spend more. Page | 59
  • 61. http://www.telesutra.com/2009/09/25/indian-telecom-update-for-august-2009/ http://economictimes.indiatimes.com/News/News-By-Industry/Telecom/Tele- base-soars-to-543m-as-mobile-cos-add-record-1765m-in- Nov/articleshow/5370510.cms http://www.trai.gov.in/WriteReadData/trai/upload/PressReleases/712/pr23dec09no 79.pdf Books:  Marketing Research, Rajendra Nargundkar- Tata McGraw-Hill Publishing House,2003  Marketing Management-A South Asian Perspective, Kotler, Keller, Koshy and Jha- Pearson Education, 13th edition.  Business Research Methods, Donald R. Cooper and Pameela S. Schindler- Tata McGraw-Hill Publishing House,2003 Journals:  Journal of Product & Brand Management, Volume 13 · Number 5 · 2004 · pp. 303–314  Journal of Product & Brand Management, Volume 13 · Number 5 · 2004 · pp. 303–314  European Journal of Innovation Management, Volume 3 . Number 1 . 2000 . pp. 7-14  VOL. 10 NO. 4 2008, pp. 13-29, Emerald Group Publishing Limited, ISSN 1463-6697 Page | 61
  • 62. Questionnaire: Age: ___________ Gender: _________ Occupation: _____________ 1. Which mobile service do you use? a. Airtel ( ) b. Vodafone ( ) c. Idea ( ) d. Cell one ( ) e. Reliance ( ) f. TATA DOCOMO ( ) g. Uninor ( ) h. TATA Indicom ( ) i. Other specify................. 2. What is the purpose of your mobile service? Page | 62
  • 63. a. Business ( ) b. Personal ( ) c. Both ( ) 3. How much do you spend on mobile service per month? a. <100 ( ) b. 100-300 ( ) c. 301-500 ( ) d. >500 ( ) 4. How much air time you spend daily on your phone? a. >30 min ( ) b. 30min -2hrs ( ) c. 2hrs – 5hrs ( ) d. >5 hrs ( ) 5. What is the most important factor you consider when you choose mobile service provider? a. Price ( ) b. Good network coverage ( ) c. Customer service ( ) d. Location of dealer ( ) e. Other please specify: _____________ 6. Do you think 1paise/second Tata DOCOMO plan is better than any other services (for local call rates)? a. Yes ( ) b. No ( ) c. Can’t say ( ) 7. Do you think 1paisa/second Tata DOCOMO plan better than other offers of other network providers (for STD call rates)? a. Yes ( ) b. No ( ) c. Can’t say ( ) 8. Are you using any of the 1 paisa/ sec scheme? a. Yes ( ) b. No ( ) 9. If yes please specify which mobile service? __________________ 10. If no, then are you interested in 1 paisa/second scheme? a. Yes ( ) b. No ( ) 11. If you are interested then specify which mobile service would you prefer? Page | 63
  • 64. Please specify: ____________________ 12. What is your opinion about TATA DOCOMO’s one paisa per second billing? Rate 1 to 5 for the following attributes (1 – strongly agree 2 – agree 3 – neutral 4 – disagree 5 – strongly disagree) a. Beneficiary in terms of tariffs ___________ b. As a tactic to attract customers ____________ 13. Rate the pricing policy of following telecom services. (1-excellent 2-good 3- poor) a. Airtel (RS 22 with validity period 1 year-1 p/sec):___ b. Tata DOCOMO (Rs 49 with life time validity with sim):___ c. Aircel (Rs 47 with validity 1 month):___ d. Uninor (Rs. 110 sim + 29 p/min offer): ____ 14. While switching the brand, you consider price (call n sms rates) as an important factor a. Strongly agree ( ) b. Agree ( ) c. Neither agree nor disagree ( ) d. Disagree ( ) e. strongly disagree ( ) 15. Rank the following attributes from 1 to 5(1- not very important to 5-very important) when switch your brand a. Call tariffs ________ b. Sms tariffs _______ c. Sim prices ________ Page | 64