Research-on-Consumer-Preference-for-Soft-Drinks

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SYMBIOSIS INSTITUTE OF BUSINESS MANAGEMENT, PUNE

Research Proposal on Consumer Decision Analysis for Purchase of Fruit Drinks

Roll No. : 30164

Name : Protik Basu Specialisation: Marketing (MBA II)

Executive SummaryThis project aims to find out the various factors influencing the consumer decision while making a purchase of a fruit drink in the age group of 19-30 in the city of Pune. Background talks about various factors that have led us to undertake this study and how and to whom this report will benefit. Objectives talks of types of data the research project will generate and how these data is relevant. A statement of value of information is also included in this section. Research approach gives a non technical description of the data collection method, measurement instrument, sample and analytical techniques. The beverage market in India is worth 2074.67 Million INR. Though the major portion of the market is still dominated by the carbonated soft drinks there is major shift towards the Juice segment. There was a growth of 31.52% in the Juice segment from 2007 to 2008. As a result of this phenomenal growth, a lot of competition has entered the market. A number of new brands have flooded the market. The competition from Indian beverages such as Sugarcane Juice, uttermilk, and Fresh Juices etc has also captured a sizeable share of the market. Due to these changes in the beverage market there is a need to identify and evaluate the reasons for the shift in the consumer purchasing pattern. This study aims to determine the factors influencing the consumer decision while buying fruit drinks in the age group 19-30 in the city of Pune. I also need to study the factors that are now driving the consumers purchasing decision. Also, due to the increase in the competition there is a need to determine the awareness levels for the various brands amongst the consumers. With the availability of a number of channels of distribution for the beverages in India, I will also try to identify the most preferred shopping channel of beverages for a consumer.

ContentsObjectives.....................................................................................................................1 Research Approach..........................................................................................................2 Data collection methods.................................................................................................2 Measurement Instruments:..............................................................................................2 Samples........................................................................................................................3 .........................................................................................................3 Analysis Techniques Factor Analysis............................................................................................................4 CrossTabs...................................................................................................................6 Correlation...............................................................................................................11 Conclusion...................................................................................................................13 Annexure....................................................................................................................14 Perceptual Maps:........................................................................................................14 ...........................................................................................................24 Questionnaire:

ObjectivesPrimary research objective To determine the factors influencing the consumer decision while buying fruit drinks in the age group 17-30 in the city of Pune. Secondary research objective

To determine the product attributes influencing purchase decision of fruit drink brands. To determine the reasons for consuming various fruit drink brands. To determine the most preferred SKU(quantity) in fruit drink category. To determine the most preferred channel in the fruit drink category. Data which research plans to generate Factors influencing the choice of fruit drinks over other beverages. Factors influencing choice of a particular fruit drink brand. Factors influencing the choice of a particular channel in fruit drink category.

Value of Information to ManagementThis report aims to generate information on various factors influencing consumer decision while purchasing a fruit drink. Companies can utilise this information for identifying the awareness levels of their respective brands in the fruit drink category. Also companies can evaluate their positioning and promotion strategies based on the factors influencing the choice of a particular fruit drink brand. Companies can also utilise the factors influencing the choice of SKU for managing their portfolio of different SKUs in the fruit drink category. The information on factors influencing the choice of a channel can be used to focus on the growing channels and also in managing existing channels. This report also contains broad based trends on consumer profile, awareness levels, usage patterns and fruit drink category as a whole which can be utilised to make inferences about the future.

Research Approach Data collection a)ISecondary Research methodsExternal secondary data has been generated to obtain volume of sales regarding beverage markets, fruit drinks, each of the brands and the positioning of each of the brands. b)ISurvey Research Data was collected from candidates using questionnaire. The questionnaire was distributed in colleges and people on the street. I distributed the questionnaires outside the shops to gather data from people who had come to visit there. I made an online questionnaire and circulated on the internet and gathered results from those.

Measurement Instruments: The measurement instrument in the questionnaire was a five point Likert scale.

Apart from details regarding their choice of drink for refreshment, their frequency of visits and the channels they choose, their spending patterns will also be mapped. The data was extracted and put in MS Excel. All the further analysis was then carried out using SPSS. The measurement was designed to get a fair idea about the various attributes and conducted factorial analysis of the important attributes.

SamplesThe aim was to collect 100 samples for the analysis. The samples should be such that they are consumers of fruit drinks. I also tried to get an adequate ratio of men and women in the samples. The main demographics targeted were the younger age group as they are more health conscious and aware of such health drinks. Also I tried to focus more on the college going crowd and young professionals as they would be more interested in trying out new products and were more conscious. uyers who have been consuming fruit drinks were better able to answer the questions regarding the influencing factors and the reasons for their consumption and purchase. The samples collected from internet have also been very valuable in the research.

Analysis Techniques

The analysis techniques used have been on SPSS and the tests were performed to ascertain the factors influencing the consumer decision while buying fruit drinks. Factor analysis was conducted to discern out of the 13 factors mainly which factors influence the buying habits of the consumers. Ultimately I identified 5 factors which mainly have an influence. I also conducted correlation tests to find out the various reasons for purchasing any particular brand of fruit drink.

The main limitation is the sampling conducted. It was done in a random manner and no particular technique followed. In the first survey a greater number of college students have been surveyed. The data might not be representative of the entire population.

Limitations :

Various statistical techniques as learned have been implemented and conclusions as best possible have been drawn making few assumptions as and when required. Since no data was on interval or ratio scale it was not feasible to conduct Regression and ANOVA.

Factor Analysis

The Perceptual mapping for various factor recognized: Rotated ComponentMatrix(a) health and media hygiene influence range_flavours 0.112 -0.069 availability 0.011 0.001 brandambassador 0.633 -0.072 visual_packg 0.084 0.072 price -0.14 0.003 quantityavailable 0.108 0.643 promotionschemes -0.08 0.856 packetcleanliness 0.926 0.004 brandvalue -0.116 0.794 nutritionvalue 0.778 -0.074 flavour 0.147 0.118 adfreq -0.065 0.8 expirydate 0.805 -0.009 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 6 iterations. Component convenienceBproduct features 0.847 0.82 -0.253 0.062 0.088 0.041 -0.039 0.152 -0.159 -0.043 -0.113 0.052 0.244 -0.056 0.009 -0.118 -0.023 0.691 -0.181 0.172 -0.013 0.125 0.067 0.779 0.046 0.04 package design 0.033 0.042 0.3 0.872 0.438 0.06 -0.032 -0.014 -0.028 -0.088 -0.261 0.066 0.043

The factors recognized after the factor analysis are as under:Factor 1: Health and Hygiene 1.BPacket cleanliness 2.BNutrition Value 3.BExpiry Date Factor 2: Media Influence 1.BPromotion Schemes2. rand Value 3.BAD Frequency Factor 3: Convenience 1.BRange of flavors 2.BAvailability Factor 4: Product Features 1.BPrice 2.BFlavor Factor 5: Package Design 1.BVisual Packaging Attributes those were not important: 1. rand Ambassador 2.BQuantity Available

The perceptual maps show the mapping of different factors in the minds of the customers and the association between them. The data was reduced from many attributes to 5 factors that have similar attributes.

The various factors mapped according to the rotated results of factor analysis. The factors were given names based on the attributes in them. These factors were used to form the factor analysis where two factors were mapped on X and Y axis to know the relation between them.

The factors help the company to know how the product is currently mapped in the customers mind. If a target consumer is focused upon then the factors can be changed and a different map can be formed. The attribute brand ambassador and package sizes available are not a major attribute in any of the factors. This justifies the fact that almost all the major fruit drinks are not endorsed by any of the big brand ambassador barring a few such as minute maid pulpy orange (Nikhil Chinappa ) . Also the variety of the package sizes available is not affecting the consumer decision while making a purchase for fruit drinks.

CrossTabs1. PURCHASE FREQUENCY VS SKU PREFERRED

Crosstab Count SKU 200 ml purchasefrequency 1-3 times 4-6 times more than 6 times rarely 100 Total 25 15 7 11 58 300 ml 2 6 1 1 10 500 ml 5 6 4 5 20 1 litre 2 0 4 6 12 Total 34 27 16 23

Chi-Square Tests Asymp. Sig. (2Value Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases a. 19.117a 20.380 8.109 100 df 9 9 1 sided) .024 .016 .004

10 cells (62.5%) have expected count less than 5. The minimum expected count is 1.60.

Since p value is less than alpha i.e. .05 (95% confidence level), therefore h0 is rejected. This shows that there is high association between purchase frequency and SKU or quantity packs. This is an indication of the fact that people preferring smaller SKUs usually purchase more as compared to others. Thus high association between purchase frequency and SKU (pack sizes ) is established .

2. PURCHASE FREQUENCY VS GENDERpurchasefrequency * gender Crosstabulation Count gender male purchasefrequency 1-3 times 4-6 times more than 6 times rarely 100 Total 19 18 12 17 66 female 15 9 4 6 34 Total 34 27 16 23

Chi-Square Tests Asymp. Sig. (2Value Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases 2.776a 2.776 2.387 100 df 3 3 1 sided) .428 .427 .122

a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 5.44.

Since p value is greater than alpha i.e. o.05 (95% confidence level), therefore there is no association between purchase frequency and gender.

CHOICE OF CHANNEL VS FACTORS AFFECTING CHOICE OF CHANNEL 3.

channel * reasonforchannel Crosstabulation Count reasonforchannel Pricing channel Retail store Supermarket Cineplex Restaurants Travel Pan shops Others Total 4 4 1 1 1 0 1 12 Ambience 8 6 0 3 2 2 0 21 Nearness 23 6 0 1 1 0 0 31 Service 0 0 0 1 0 0 0 1 Display 13 6 2 3 1 0 0 25 Reputation 0 1 2 0 0 0 0 100 3 Occasion 6 0 0 0 0 0 1 7 Total 54 23 5 9 5 2 2

Chi-Square Tests Asymp. Sig. (2Value Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases 68.211a 50.165 1.108 100 df 36 36 1 sided) .001 .059 .293

a. 43 cells (87.8%) have expected count less than 5. The minimum expected count is .02.

Here p value is less than alpha i.e. 0.05 (95% confidence level) therefore Ho is rejected. This shows that there is high association between choice of channel and factors affecting the choice of channel. This gives an indication such that those people who consider availability and nearness as their factor affecting the choice of channel might prefer buying fruit drink from retail stores or grocery stores. Thus a high association is established.

CROSSTABS OF PURCHASE FREQUENCY VS REASONS FOR HAVING FRUIT DRINKS I conducted crosstabs of purchase frequency with the scores /ranking given by various respondents to the various reasons for drinking fruit drinks such as socialisation, refreshment, enjoyment, mental lift, attitude, basic thirst, taste etc. out of all these crosstabs association was found between two cases. The two cases have been given below:

PURCHASE FREQUENCY VS REFRESHMENT 1.purchasefrequency * refreshment Crosstabulation Count refreshment neither agree nor strongly disagree purchasefrequency 1-3 times 4-6 times more than 6 times rarely 100 Total 20 18 9 8 55 disagree 7 6 7 12 32 disagree 5 0 0 2 7 agree 2 1 0 1 4 strongly agree 0 2 0 0 2 Total 34 27 16 23

Chi-Square Tests Asymp. Sig. (2Value Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases 20.628a 23.332 .108 100 df 12 12 1 sided) .056 .025 .742

a. 12 cells (60.0%) have expected count less than 5. The minimum expected count is .32.

Since p value is less than alpha (95% confidence level) thus there is high association between refreshment purpose and purchase frequency. This might be an indication of the fact that people drinking fruit drinks for refreshment purpose generally buy more as compared to others.

PURCHASE FREQUENCY VS BASIC THIRSTCount

purchasefrequency * basicthirst Crosstabulation

basicthirst neither agree nor strongly disagreeBdisagree purchasefrequency 1-3 times 4-6 times more than 6 times rarely 100 Total 6 11 3 11 31 15 6 9 9 39 disagree 7 6 0 2 15 agree 5 4 4 0 13 strongly agree 1 0 0 1 2 Total 34 27 16 23

Chi-Square Tests Asymp. Sig. (2Value Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases 20.262a 26.177 4.223 100 df 12 12 1 sided) .062 .010 .040

a. 12 cells (60.0%) have expected count less than 5. The minimum expected count is .32.

Since p value is less than alpha (95%) therefore there is high association between purchase frequency and basic thirst /filling purpose. This might be an indication of the fact that people drinking fruit drinks for basic thirst / filling purpose generally buy more as compared to others.

C orrelationCorrelation of the various brands (i.e. Appy, Real, Tropicana etc) was done with various reasons for drinking such as refreshment, enjoyment, vitality, mental lift etc. I tried to identify the various reasons that are correlated with various brands .This activity basically helped us in identifying the perception and connotations of people towards various fruit drink brands. Following are some of the inferences that I established after conducting the correlation analysis. 1.BThere was a significant correlation between brand Real and the following reasons for drinking : Health Enjoyment Attitude 2.BThere was a significant correlation between brand Tropicana and the following reasons for drinking : Health Enjoyment

3.BThere was a significant correlation between brand Maaza and the following reasons for drinking : Attitude4. There was a no correlation between brand Slice and the various reasons for drinking.

5.BThere was a significant correlation between brand Appy and the following reasons for drinking : Socialising 6.BThere was a significant correlation between brand Frooti and the following reasons for drinking: Taste Mental lift 7. There was a significant correlation between brand Mangola and the following reasons for drinking : Taste Mental lift 8.BThere was a significant correlation between brand Pulpy Orange and the following reasons for drinking : Attitude9. There was a significant correlation between brand Twister and the following reasons for

drinking: Taste Mental lift 10.There was a significant correlation between brand Others (ex. Lehberry etc.) and the following reasons for drinking : Attitude asic thirst

ConclusionOn the basis of the data collected and the tests conducted I have arrived at the following conclusions: With the help of correlation I was able to identify the attributes that consumers associate with the various fruit drinks and which in turn drive their purchase decision for the same. For example Tropicana is associated with health and enjoyment whereas Appy is associated with socialising. These reflect the perceptions of the various fruit drinks in the mind of the consumers. The crosstab between purchase frequency and SKU showed that those purchasing smaller SKUs purchase more frequently as compared to those who purchased a 500ml or 1litre. On the other hand there is no impact of gender on purchasing frequency for fruit drinks. There is a high association between the channels preferred and the factors affecting these channels. The most important factor came out to be location or nearness of the channel. There is also a high association between purchase frequency and reasons for consuming fruit drinks such as refreshment and fulfilling basic thirst. In factor analysis I found out 5 factors which mainly have an impact on the purchase of a fruit drink. There were two factors which did not have any significant impact. Also, I found out that the most preferred channel for purchase in retail stores. The most preferred SKU is 200ml packs which could be due to convenience. The most preferred drink is Frooti followed by Tropicana and Real.

A nnexure Perceptual Maps: 1. Health & Hygiene Vs Media Influence

0.778 health and hygiene -0.08 0.926 -0.116 0.778 -0.065 0.805 media/external influence 0.856 0.004 0.794 -0.074 0.8

promotionschemes packetcleanliness brandvalue nutritionvalue adfreq -0.009 expirydate

2. Health & Hygiene Vs Convenience

health and hygiene range_flavours availability packetcleanlines s nutritionvalue 0.244 expirydate 0.112 0.011 0.926 0.778 0.805

convenience 0.847 0.82 0.152 -0.043

3. Health & Hygiene Vs Product Features

health and hygiene price packetcleanlines s nutritionvalue flavour 0.04 expirydate -0.14 0.926 0.778 0.147 0.805

product features 0.691 -0.013 0.067 0.779

4. Media Influence Vs Convenience

media influence .82 range_flavours availability -0.069 0.001

convenience 0.847 0

promotionschemes brandvalue adfreq

0.856 0.794 0.8

-0.039 -0.159 0.052

Media Influence Vs Product Features 5.

media influence price promotionscheme s brandvalue flavour adfreq 0.003 0.856 0.794 0.118 0.8

product features 0.691 0.172 0.125 0.779 0.046

Convenience Vs Product Feature

6.

convenience range_flavours availability price 0.779 flavour

product features 0.847 -0.056 0.82 0.009 0.088 0.691 -0.113

Health & Hygiene Vs Package Design 7.

visual_packg packetcleanline ss nutritionvalue 0.043 expirydate

health and package hygiene design 0.084 0.872 0.926 -0.014 0.778 0.805 -0.088

8. Media Influence Vs Package Design

media/external package influence design visual_packg 0.072 0.872 promotionscheme 0.856 -0.032 s -0.028 brandvalue 0.794

adfreq

0.8

0.066

9. Convenience Vs Package Design

0.033 range_flavou rs

convenience package design 0.847

availability visual_packg

0.82 0.062

0.042 0.872

Product features 10. Package design Vs

product features visual_pack g price flavour -0.023 0.691 0.779

package design 0.872 0.438 -0.261

Questionnaire:QUESTIONNAIRE 1.BWhom do you buy fruit drinks for? (Tick one) a)BMyself

b)BFamily c)BChildren d)BInstitutional purposes / social occasions 2.BHow often do you have a fruit drink? a)B1-3 times a week b)B4-6 times a week c)BMore than 6 times a week d)BRarely (fortnightly ) 3.BWhat quantity do you usually prefer to buy? a)B200-250 ml (Tetrapak) b)B300 ml c)B500 ml bottle d)B1 litre 4. Through which medium did you come to know about your preferred fruit drink brand? a)BHoardings and banners b)BNewspaper and magazines c)BTV/radio d)BWord of mouth e)BOthers ..

5.BDo the following reasons influence your consumption of fruit drinks? Strongly Disagree Neither Agree disagree agree nor REASONS disagree For social occasions / entertainment t acts as a refreshment

Strongly Agree

t provides enjoyment t tastes very good tI IsatisfiesI ImyI Ibasic thirst and is filling feel a sense of well being after consuming it t gives me vitality and energy t relaxes me mentally t reflects my attitude

6. Rank the following fruit drinks from 1 to 5, with 1 being least preferred and 5 being most preferred: a)BReal b)BTropicana c)BMaaza d)BSlice e)BAppy f)BFrooti g)BMangola h)BPulpy orange i)BTwister j)BOthers 7. How important are the following factors for purchasing a fruit drink? FACTORS VeryI Iless Less No important important nfluenc e mportant Very mportant

Flavor

No. of flavors Availability and Convenience Price CleanlinessI IofI Ipacket/I Inot damaged Manufacturing date /expiry date Frequency of advertisement Brand ambassador NutritionalI Ivalue/I Icalorie content Brand value /brand name SKUs available Promotion schemes/discounts Visual appeal of packaging

8.BWhich is your most preferred channel for purchasing a fruit drink? a)BRetail store/grocery store b)BSupermarket/hypermarket c)BCineplex d)BPan shop/kiosks e)BRestaurants f)BTravel g)BOthers.