SlideShare a Scribd company logo
Submitted By: 
11/6/2014 
Amarjeet Singh 
Koushik Rakshit 
Namita Pandey 
Roma Agrawal 
1
 Background 
 Objective 
 Research Design 
 Sample Size and Data Description 
 Feedback 
 Analysis 
 Summary 
 Questions 
11/6/2014 
2
 R & D team of Smirnoff has prepared two new blends 
of Vodka; Test Blend 1 and Test Blend 2 
 Marketing team want to do Blind test of the two new 
blends Vs. Smirnoff (Control Blend) 
 Any of the Test Blends if found to be better than 
Smirnoff then it will be replaced by that new Test 
Blend. 
11/6/2014 
3
 Primary Objective 
 To test whether drinkers have liked the new test blends of vodka 
or not. 
 To decide whether current blend should be replaced by any of 
the new test blends or not (at 90% and 95% Confidence level) 
 Secondary Objective 
 To find the important attributes that drive overall preference of 
vodka and to what extent they are responsible for overall 
likability of the blend. 
 To reduce the correlated attributes into factors and to see their 
effect on overall likeability 
 To predict the purchase intentions by evaluating the ratings on 
attributes. 
11/6/2014 
4
 One to one interview was conducted in 5 large cities – Delhi, 
Mumbai, Kolkata, Bangalore, Chennai 
 The Research was conducted with sequential monadic 
exposure – 3 blends were given one after the another and 
feedback was taken 
 Consumers were given neutralizer after each blend to remove 
bias 
 Target Group 
Males/Females in the age group of 25 – 35 yrs. 
Consuming vodka at least twice a week 
Regular consumer of any one of the three brands – 
Smirnoff, Fuel or Magic Moments 
11/6/2014 
5
760, each will be given 3 blends of Vodka 
Total = 760*3 = 2280 observations 
 Each person will be given a unique a “unique response no” 
and they have to response for each of 3 blends, i.e., 3 rows 
for each persons. 
 
11/6/2014 
6 
PANEL 
PANEL1 
(where Test 
Product 1 is 
first blend) 
PANEL1 
(where Control 
Product is first 
blend) 
PANEL1 
(where Test 
Product 2 is 
first blend)
 Age- Recorded as number of yrs., ranging from 25 to 35 
 Ages – Recorded as two bands of Age 
1 – Age between 25–30yrs & 2 – Age between 31–35yrs 
11/6/2014 
30 
25 
20 
15 
10 
7 
12.93 
24.33 
6.08 
2.66 2.66 
6.46 
13.69 
9.13 
6.08 
7.98 7.98 
14.4 
18.4 
6.8 
4 
1.2 
5.6 
11.2 
12 
3.2 
11.2 
12 
14.57 
14.57 
6.88 
7.69 
3.64 
3.64 
14.17 
9.72 
4.86 
12.96 
7.29 
5 
0 
25 26 27 28 29 30 31 32 33 34 35 
P 
E 
R 
C 
E 
N 
T 
A 
G 
E 
AGE (YR) 
PANEL1 
PANEL2 
PANEL3 
At 95%, there is no significant difference among age and age 
groups
 Study was done in 5 centers: 
22 
21 
20 
19 
18 
17 
 Placement Order and Product goes together– 
1 – First-placed blend 
2 – Second-placed blend 
3 – Third-placed blend 
Product beside this specifies which blend is first, second or third. 
11/6/2014 
8 
20.91 
20.53 
19.77 
18.25 
20.53 
18 
19.6 
20.4 
20.8 
21.2 
19.03 19.43 
19.84 
21.46 
20.24 
16 
DELHI MUMBAI KOLKATA BANGALORE CHENNAI 
P 
E 
R 
C 
E 
N 
T 
A 
G 
E 
PANEL1 
PANEL2 
PANEL3 
At 95%, there is no significant difference among centers as 
well
 Each attribute was ranked on a scale of 1 to 10 (10 being 
the max and 0 means that it is not all being liked by the 
drinker) 
 Strength of different attribute was taken on 5 point likert 
scale: 
 Intention to buy 
1-Yes and 2-No 
11/6/2014 
9 
1 (too weak) 2 (little weak) 3 (just right) 4 (too strong) 5 (too strong)
11/6/2014 
10 
Analysis 
Starts
 Attributes in the order of their importance: 
Taste -> Mouth Feel -> Aroma -> Smoothness -> 
Throat Feel -> Flavor -> After Taste 
 “After taste” was not adding any value so Ignored that 
attribute in predicting the overall likeability 
 Regression Equation: 
 This equation explains 77.4 % variability in Overall 
Likeability 
11/6/2014 
11 
[Overall Likeability] = 0.589 + 0.174[Aroma] + 0.300[Taste] + 
0.118[Smoothness] + 0.089[Flavour] + 0.101[Throat Feel] + 
0.206[Mouth Feel]
11/6/2014 
12 
Top2 at 95% 
CL 
Prod1 and 
Prod2 
Prod3 and 
Prod2 
Overall 
Likeability SAME SAME 
Taste SAME SAME 
Mouth Feel SAME SAME 
Top3 at 95% 
CL 
Prod1 and 
Prod2 
Prod3 and 
Prod2 
Overall 
Likeability DIFFERENT SAME 
Taste DIFFERENT SAME 
Mouth Feel SAME SAME 
MainBrand %age 
Magic Moments 22.76% 
Smirnoff 62.23% 
Fuel 15.00% 
Neither Blends are better than Control Product (Smirnoff)at 95% 
Confidence Level (Taken top 2 rating and top 3 ratings)
 Attributes in the order of their importance: 
Strength Of Taste -> Strength of Smoothness -> 
Strength of After Taste -> Strength of Flavor 
 “Strength of Aroma” is not a important factor. 
[Overall Likeability] = 8.56 - 0.300[Strength of Taste] + 0.150[Strength of 
Smoothness] - 0.093[Strength of Flavour] - 0.117[Strength of After Taste] 
 This equation explains 7.1 % variability in Overall Likeability, 
We should not consider all these. 
11/6/2014 
13 
Note: This is not correct to do, as OL is on 10 point scale and rest of the 
predictors are on 5 point scale
11/6/2014 
14 
Correlation Matrix 
Aroma Taste Smoothness Flavor Throat-Feel After-taste Mouth-Feel 
Correla 
tion 
Aroma 1.000 
Taste .699 1.000 
Smoothness .650 .778 1.000 
Flavor .699 .783 .730 1.000 
Throat-Feel .644 .749 .784 .743 1.000 
After-taste .658 .791 .759 .772 .796 1.000 
Mouth-Feel .652 .797 .762 .768 .814 .831 1.000 
Huge Correlation and KMO statistics (0.945) > 0.5 hence we can go 
for factor Analysis
11/6/2014 
15 
Total Variance Explained 
Component 
Initial Eigenvalues Extraction Sums of Squared Loadings 
Total % of Variance 
Cumulative 
% Total % of Variance 
Cumulative 
% 
1 5.482 78.316 78.316 5.482 78.316 78.316 
2 .431 6.156 84.473 
3 .276 3.939 88.412 
4 .252 3.603 92.015 
5 .220 3.146 95.161 
6 .179 2.558 97.718 
7 .160 2.282 100.000 
Total Variance is explained by 1 component only.
Structure Matrix 
Function 
1 
Taste .373 
Aroma .337 
Throat-feel .212 
Smoothness .139 
Flavor .057 
After Taste -.072 
Mouth Feel .148 
11/6/2014 
16 
Considering all attributes 
except Overall Likeability 
Classification Resultsa,c 
Q6_Int_p (Y=1,N=2) 
Predicted Group 
Membership 
1 2 Total 
Original Count 1 519 204 723 
2 125 1432 1557 
% 1 71.8 28.2 100.0 
2 8.0 92.0 100.0 
Cross-validated 
b 
Count 1 516 207 723 
2 127 1430 1557 
% 1 71.4 28.6 100.0 
2 8.2 91.8 100.0 
a. 85.6% of original grouped cases correctly classified. 
b. 85.4% of cross-validated grouped cases correctly classified.
11/6/2014 
17 
Standardized Canonical Discriminant 
Function Coefficients 
Function 
1 
Taste .477 
Aroma .370 
Throat-Feel .329 
Only considering 3 most 
important attributes 
Classification Resultsa,c 
Q6_Int_p (Y=1,N=2) 
Predicted Group 
Membership 
1 2 Total 
Original Count 1 498 225 723 
2 129 1428 1557 
% 1 68.9 31.1 100.0 
2 8.3 91.7 100.0 
Cross-validated 
b 
Count 1 498 225 723 
2 129 1428 1557 
% 1 68.9 31.1 100.0 
2 8.3 91.7 100.0 
a. 84.5% of original grouped cases correctly classified. 
b. 84.5% of cross-validated grouped cases correctly classified.
 There is no difference in samples w.r.t age, ages, market, centers, 
panels, products. 
 (Chi square test is used to test this) 
 Taste and Mouth Feel are most important attributes and After taste 
is least important 
 (Regression and step-wise regression) 
 Seen that there were correlation between many attributes, we 
clubbed the correlated attributes into factors and then tried to find 
the effect on overall likeability 
 (Factor Analysis and Regression) 
 We tried to discriminate the two levels of purchase intension on 
the basis of attributes 
 Important attributes were: Overall likeability, taste, Mouth Feel 
 Least Important comes out to be: Flavor and after taste 
11/6/2014 
18
 Control product should not be replaced by any of the test 
products 
 Aroma, Taste, Mouth-Feel and Throat feel are most important 
attributes that drinkers like. 
 After taste is least important 
 Main brand of drinkers is Smirnoff only. 
 Company should concentrate on these 3 attributes if in future they 
want to launch any new products 
 We would like to suggest a launch of new product but not with 
the replacement of Smirnoff 
11/6/2014 
19
11/6/2014 
20

More Related Content

What's hot

Chocolate Questionnaire Focus Group Questionnaire – Hard Paper
Chocolate Questionnaire Focus Group Questionnaire – Hard PaperChocolate Questionnaire Focus Group Questionnaire – Hard Paper
Chocolate Questionnaire Focus Group Questionnaire – Hard Paper
Asad Ali
 
A Study on Consumers' Preference Towards Soft Drinks Product
A Study on Consumers' Preference Towards Soft Drinks ProductA Study on Consumers' Preference Towards Soft Drinks Product
A Study on Consumers' Preference Towards Soft Drinks Product
Santhosh Madheswaran
 
MAR331 - Marketing Plan for New Product Launch: Flavored Xpress Water, Pace U...
MAR331 - Marketing Plan for New Product Launch: Flavored Xpress Water, Pace U...MAR331 - Marketing Plan for New Product Launch: Flavored Xpress Water, Pace U...
MAR331 - Marketing Plan for New Product Launch: Flavored Xpress Water, Pace U...
Jeff Schneider
 
A Chocolate Industry Project Report
A Chocolate Industry Project ReportA Chocolate Industry Project Report
A Chocolate Industry Project Report
Bhavik Parmar
 
Sales and marketing plan for soft drinks and beverages (for Iceberg Food)
Sales and marketing plan for soft drinks and beverages (for Iceberg Food)Sales and marketing plan for soft drinks and beverages (for Iceberg Food)
Sales and marketing plan for soft drinks and beverages (for Iceberg Food)Sukesh Chandra Gain
 
Raw Pressery - Digital Marketing strategy for a juice brand.
Raw Pressery - Digital Marketing strategy for a juice brand.Raw Pressery - Digital Marketing strategy for a juice brand.
Raw Pressery - Digital Marketing strategy for a juice brand.
Deepak Menon
 
Consumer behaviour for soft drinks
Consumer behaviour for soft drinksConsumer behaviour for soft drinks
Consumer behaviour for soft drinks
AishwaryaSinha29
 
Mencare products usage
Mencare products usage Mencare products usage
Mencare products usage
DI Marketing
 
Soft Drink Industry
Soft Drink IndustrySoft Drink Industry
Soft Drink IndustrySeth P.
 
MARKETING PROJECT ON PEPSI
MARKETING PROJECT ON PEPSIMARKETING PROJECT ON PEPSI
MARKETING PROJECT ON PEPSI
praveensureshpai
 
Energy Drink Consumer Research Proposal
Energy Drink Consumer Research ProposalEnergy Drink Consumer Research Proposal
Energy Drink Consumer Research Proposal
Stephen Zoeller, MBA
 
Marketing Presentation on Coca Cola
Marketing Presentation on Coca Cola Marketing Presentation on Coca Cola
Marketing Presentation on Coca Cola Siddhartha Kamat
 
Pulse Candy - DS Group
Pulse Candy - DS GroupPulse Candy - DS Group
Pulse Candy - DS Group
Tanvi Joshi
 
Paper boat 2019 market analysis (factor analysis))
Paper boat 2019 market analysis (factor analysis))Paper boat 2019 market analysis (factor analysis))
Paper boat 2019 market analysis (factor analysis))
Ramanjeet Singh
 
Mtn dew
Mtn dewMtn dew
Mtn dew
Mridul Sheikh
 
Comparative study between fruit juice brand with special context of tropicana...
Comparative study between fruit juice brand with special context of tropicana...Comparative study between fruit juice brand with special context of tropicana...
Comparative study between fruit juice brand with special context of tropicana...
Projects Kart
 
Energy drinks usage in Vietnam
Energy drinks usage in VietnamEnergy drinks usage in Vietnam
Energy drinks usage in Vietnam
DI Marketing
 
Tata Tea: Market Survey and Positioning
Tata Tea: Market Survey and PositioningTata Tea: Market Survey and Positioning
Tata Tea: Market Survey and Positioning
Himanshu Arora
 
Consumer Behaviour on Soft Drinks Market in India - A Case Study on Pepsi
Consumer Behaviour on Soft Drinks Market in India - A Case Study on PepsiConsumer Behaviour on Soft Drinks Market in India - A Case Study on Pepsi
Consumer Behaviour on Soft Drinks Market in India - A Case Study on Pepsi
Priyank Agarwal
 
Blue Print Juice Advertising Strategy Plan
Blue Print Juice Advertising Strategy PlanBlue Print Juice Advertising Strategy Plan
Blue Print Juice Advertising Strategy PlanSona Martirosian
 

What's hot (20)

Chocolate Questionnaire Focus Group Questionnaire – Hard Paper
Chocolate Questionnaire Focus Group Questionnaire – Hard PaperChocolate Questionnaire Focus Group Questionnaire – Hard Paper
Chocolate Questionnaire Focus Group Questionnaire – Hard Paper
 
A Study on Consumers' Preference Towards Soft Drinks Product
A Study on Consumers' Preference Towards Soft Drinks ProductA Study on Consumers' Preference Towards Soft Drinks Product
A Study on Consumers' Preference Towards Soft Drinks Product
 
MAR331 - Marketing Plan for New Product Launch: Flavored Xpress Water, Pace U...
MAR331 - Marketing Plan for New Product Launch: Flavored Xpress Water, Pace U...MAR331 - Marketing Plan for New Product Launch: Flavored Xpress Water, Pace U...
MAR331 - Marketing Plan for New Product Launch: Flavored Xpress Water, Pace U...
 
A Chocolate Industry Project Report
A Chocolate Industry Project ReportA Chocolate Industry Project Report
A Chocolate Industry Project Report
 
Sales and marketing plan for soft drinks and beverages (for Iceberg Food)
Sales and marketing plan for soft drinks and beverages (for Iceberg Food)Sales and marketing plan for soft drinks and beverages (for Iceberg Food)
Sales and marketing plan for soft drinks and beverages (for Iceberg Food)
 
Raw Pressery - Digital Marketing strategy for a juice brand.
Raw Pressery - Digital Marketing strategy for a juice brand.Raw Pressery - Digital Marketing strategy for a juice brand.
Raw Pressery - Digital Marketing strategy for a juice brand.
 
Consumer behaviour for soft drinks
Consumer behaviour for soft drinksConsumer behaviour for soft drinks
Consumer behaviour for soft drinks
 
Mencare products usage
Mencare products usage Mencare products usage
Mencare products usage
 
Soft Drink Industry
Soft Drink IndustrySoft Drink Industry
Soft Drink Industry
 
MARKETING PROJECT ON PEPSI
MARKETING PROJECT ON PEPSIMARKETING PROJECT ON PEPSI
MARKETING PROJECT ON PEPSI
 
Energy Drink Consumer Research Proposal
Energy Drink Consumer Research ProposalEnergy Drink Consumer Research Proposal
Energy Drink Consumer Research Proposal
 
Marketing Presentation on Coca Cola
Marketing Presentation on Coca Cola Marketing Presentation on Coca Cola
Marketing Presentation on Coca Cola
 
Pulse Candy - DS Group
Pulse Candy - DS GroupPulse Candy - DS Group
Pulse Candy - DS Group
 
Paper boat 2019 market analysis (factor analysis))
Paper boat 2019 market analysis (factor analysis))Paper boat 2019 market analysis (factor analysis))
Paper boat 2019 market analysis (factor analysis))
 
Mtn dew
Mtn dewMtn dew
Mtn dew
 
Comparative study between fruit juice brand with special context of tropicana...
Comparative study between fruit juice brand with special context of tropicana...Comparative study between fruit juice brand with special context of tropicana...
Comparative study between fruit juice brand with special context of tropicana...
 
Energy drinks usage in Vietnam
Energy drinks usage in VietnamEnergy drinks usage in Vietnam
Energy drinks usage in Vietnam
 
Tata Tea: Market Survey and Positioning
Tata Tea: Market Survey and PositioningTata Tea: Market Survey and Positioning
Tata Tea: Market Survey and Positioning
 
Consumer Behaviour on Soft Drinks Market in India - A Case Study on Pepsi
Consumer Behaviour on Soft Drinks Market in India - A Case Study on PepsiConsumer Behaviour on Soft Drinks Market in India - A Case Study on Pepsi
Consumer Behaviour on Soft Drinks Market in India - A Case Study on Pepsi
 
Blue Print Juice Advertising Strategy Plan
Blue Print Juice Advertising Strategy PlanBlue Print Juice Advertising Strategy Plan
Blue Print Juice Advertising Strategy Plan
 

Similar to Market Research Blind Product Test

Blind product test- Market Research
Blind product test- Market ResearchBlind product test- Market Research
Blind product test- Market Research
Krishna Bollojula
 
SPSS- Output and Interpretation
SPSS- Output and InterpretationSPSS- Output and Interpretation
SPSS- Output and Interpretation
Harshvardhan Pal
 
Business Research assignment
Business Research assignmentBusiness Research assignment
Business Research assignment
Abhishek Varshney
 
Development of Tripe Snack and sensory evaluation by Kano Model.
Development of Tripe Snack and sensory evaluation  by Kano Model.Development of Tripe Snack and sensory evaluation  by Kano Model.
Development of Tripe Snack and sensory evaluation by Kano Model.
Dawa Rayamajhi Sherpa
 
Acceptance-preference test
Acceptance-preference testAcceptance-preference test
3. Secondary Data, Online Information Databases, and Measurement.docx
3. Secondary Data, Online Information Databases, and Measurement.docx3. Secondary Data, Online Information Databases, and Measurement.docx
3. Secondary Data, Online Information Databases, and Measurement.docx
tamicawaysmith
 
Evaluation of Talisay (Terminalia catappa) nuts by-products
Evaluation of Talisay (Terminalia catappa) nuts by-productsEvaluation of Talisay (Terminalia catappa) nuts by-products
Evaluation of Talisay (Terminalia catappa) nuts by-products
Innspub Net
 
Evaluation of Talisay (Terminalia catappa) nuts by-products
Evaluation of Talisay (Terminalia catappa) nuts by-productsEvaluation of Talisay (Terminalia catappa) nuts by-products
Evaluation of Talisay (Terminalia catappa) nuts by-products
Open Access Research Paper
 
6 measurement & scaling
6  measurement & scaling6  measurement & scaling
6 measurement & scalingarjeskay
 
Report of Soft Drink Consumption Habits in Indonesia 2014
Report of Soft Drink Consumption Habits in Indonesia 2014Report of Soft Drink Consumption Habits in Indonesia 2014
Report of Soft Drink Consumption Habits in Indonesia 2014
MACROMILL SOUTH EAST ASIA, INC.
 
Business Analysis Assignment - Zydus Wellness
Business Analysis Assignment - Zydus WellnessBusiness Analysis Assignment - Zydus Wellness
Business Analysis Assignment - Zydus Wellness
Nirin Parikh
 
horticulture science
horticulture science horticulture science
horticulture science
BABLUHRANGKHAWL
 
LOGO Research - Progressive Category Retail Forum 2017
LOGO Research - Progressive Category Retail Forum 2017LOGO Research - Progressive Category Retail Forum 2017
LOGO Research - Progressive Category Retail Forum 2017
LOGO Market Research and Consulting Ltd.
 
A study on_consumer_behavior_toward_soft
A study on_consumer_behavior_toward_softA study on_consumer_behavior_toward_soft
A study on_consumer_behavior_toward_soft
Gabriel Ankrah , BSc, CA, MSc, PHD, PMP
 
MKT6337_FinalPPT_1
MKT6337_FinalPPT_1MKT6337_FinalPPT_1
MKT6337_FinalPPT_1Ishan Dua
 
Quality Control Assessment & Comparisons with the USA Standard Values
Quality Control Assessment & Comparisons with the USA Standard Values Quality Control Assessment & Comparisons with the USA Standard Values
Quality Control Assessment & Comparisons with the USA Standard Values
IOSRJAC
 
Market Research on Indian Market for Hair Oil
Market Research on Indian Market for Hair OilMarket Research on Indian Market for Hair Oil
Market Research on Indian Market for Hair OilYatish Dasari
 

Similar to Market Research Blind Product Test (20)

Blind product test- Market Research
Blind product test- Market ResearchBlind product test- Market Research
Blind product test- Market Research
 
SPSS- Output and Interpretation
SPSS- Output and InterpretationSPSS- Output and Interpretation
SPSS- Output and Interpretation
 
Business Research assignment
Business Research assignmentBusiness Research assignment
Business Research assignment
 
Development of Tripe Snack and sensory evaluation by Kano Model.
Development of Tripe Snack and sensory evaluation  by Kano Model.Development of Tripe Snack and sensory evaluation  by Kano Model.
Development of Tripe Snack and sensory evaluation by Kano Model.
 
Acceptance-preference test
Acceptance-preference testAcceptance-preference test
Acceptance-preference test
 
3. Secondary Data, Online Information Databases, and Measurement.docx
3. Secondary Data, Online Information Databases, and Measurement.docx3. Secondary Data, Online Information Databases, and Measurement.docx
3. Secondary Data, Online Information Databases, and Measurement.docx
 
2015_BIC_Dishwashers (1)
2015_BIC_Dishwashers (1)2015_BIC_Dishwashers (1)
2015_BIC_Dishwashers (1)
 
Evaluation of Talisay (Terminalia catappa) nuts by-products
Evaluation of Talisay (Terminalia catappa) nuts by-productsEvaluation of Talisay (Terminalia catappa) nuts by-products
Evaluation of Talisay (Terminalia catappa) nuts by-products
 
Evaluation of Talisay (Terminalia catappa) nuts by-products
Evaluation of Talisay (Terminalia catappa) nuts by-productsEvaluation of Talisay (Terminalia catappa) nuts by-products
Evaluation of Talisay (Terminalia catappa) nuts by-products
 
6 measurement & scaling
6  measurement & scaling6  measurement & scaling
6 measurement & scaling
 
Report of Soft Drink Consumption Habits in Indonesia 2014
Report of Soft Drink Consumption Habits in Indonesia 2014Report of Soft Drink Consumption Habits in Indonesia 2014
Report of Soft Drink Consumption Habits in Indonesia 2014
 
coca cola china
coca cola chinacoca cola china
coca cola china
 
Business Analysis Assignment - Zydus Wellness
Business Analysis Assignment - Zydus WellnessBusiness Analysis Assignment - Zydus Wellness
Business Analysis Assignment - Zydus Wellness
 
horticulture science
horticulture science horticulture science
horticulture science
 
LOGO Research - Progressive Category Retail Forum 2017
LOGO Research - Progressive Category Retail Forum 2017LOGO Research - Progressive Category Retail Forum 2017
LOGO Research - Progressive Category Retail Forum 2017
 
A study on_consumer_behavior_toward_soft
A study on_consumer_behavior_toward_softA study on_consumer_behavior_toward_soft
A study on_consumer_behavior_toward_soft
 
MKT6337_FinalPPT_1
MKT6337_FinalPPT_1MKT6337_FinalPPT_1
MKT6337_FinalPPT_1
 
Quality Control Assessment & Comparisons with the USA Standard Values
Quality Control Assessment & Comparisons with the USA Standard Values Quality Control Assessment & Comparisons with the USA Standard Values
Quality Control Assessment & Comparisons with the USA Standard Values
 
Market Research on Indian Market for Hair Oil
Market Research on Indian Market for Hair OilMarket Research on Indian Market for Hair Oil
Market Research on Indian Market for Hair Oil
 
high effort judgement
high effort judgementhigh effort judgement
high effort judgement
 

More from Roma Agrawal Sit

Text Analysis Report
Text Analysis ReportText Analysis Report
Text Analysis Report
Roma Agrawal Sit
 
Text Analytics
Text AnalyticsText Analytics
Text Analytics
Roma Agrawal Sit
 
Telecom analytics
Telecom analyticsTelecom analytics
Telecom analytics
Roma Agrawal Sit
 
Study of "Snapdeal & Infibeam"
Study of "Snapdeal & Infibeam"Study of "Snapdeal & Infibeam"
Study of "Snapdeal & Infibeam"
Roma Agrawal Sit
 
Assignment multiple regression
Assignment multiple regressionAssignment multiple regression
Assignment multiple regression
Roma Agrawal Sit
 
Sensex nifty
Sensex niftySensex nifty
Sensex nifty
Roma Agrawal Sit
 
Brand Dossier "MRF"
Brand Dossier "MRF"Brand Dossier "MRF"
Brand Dossier "MRF"
Roma Agrawal Sit
 
A comparative study of two drugs for the prevention of Post Anesthetic Shiver...
A comparative study of two drugs for the prevention of Post Anesthetic Shiver...A comparative study of two drugs for the prevention of Post Anesthetic Shiver...
A comparative study of two drugs for the prevention of Post Anesthetic Shiver...
Roma Agrawal Sit
 

More from Roma Agrawal Sit (9)

Text Analysis Report
Text Analysis ReportText Analysis Report
Text Analysis Report
 
Text Analytics
Text AnalyticsText Analytics
Text Analytics
 
Telecom analytics
Telecom analyticsTelecom analytics
Telecom analytics
 
Time series Forecasting
Time series ForecastingTime series Forecasting
Time series Forecasting
 
Study of "Snapdeal & Infibeam"
Study of "Snapdeal & Infibeam"Study of "Snapdeal & Infibeam"
Study of "Snapdeal & Infibeam"
 
Assignment multiple regression
Assignment multiple regressionAssignment multiple regression
Assignment multiple regression
 
Sensex nifty
Sensex niftySensex nifty
Sensex nifty
 
Brand Dossier "MRF"
Brand Dossier "MRF"Brand Dossier "MRF"
Brand Dossier "MRF"
 
A comparative study of two drugs for the prevention of Post Anesthetic Shiver...
A comparative study of two drugs for the prevention of Post Anesthetic Shiver...A comparative study of two drugs for the prevention of Post Anesthetic Shiver...
A comparative study of two drugs for the prevention of Post Anesthetic Shiver...
 

Recently uploaded

Core Web Vitals SEO Workshop - improve your performance [pdf]
Core Web Vitals SEO Workshop - improve your performance [pdf]Core Web Vitals SEO Workshop - improve your performance [pdf]
Core Web Vitals SEO Workshop - improve your performance [pdf]
Peter Mead
 
Playlist and Paint Event with Sony Music U
Playlist and Paint Event with Sony Music UPlaylist and Paint Event with Sony Music U
Playlist and Paint Event with Sony Music U
SemajahParker
 
Top 3 Ways to Align Sales and Marketing Teams for Rapid Growth
Top 3 Ways to Align Sales and Marketing Teams for Rapid GrowthTop 3 Ways to Align Sales and Marketing Teams for Rapid Growth
Top 3 Ways to Align Sales and Marketing Teams for Rapid Growth
Demandbase
 
Your Path to Profits - The Game-Changing Power of a Marketing - Daniel Bussius
Your Path to Profits - The Game-Changing Power of a Marketing - Daniel BussiusYour Path to Profits - The Game-Changing Power of a Marketing - Daniel Bussius
Your Path to Profits - The Game-Changing Power of a Marketing - Daniel Bussius
DigiMarCon - Digital Marketing, Media and Advertising Conferences & Exhibitions
 
SMM Cheap - No. 1 SMM panel in the world
SMM Cheap - No. 1 SMM panel in the worldSMM Cheap - No. 1 SMM panel in the world
SMM Cheap - No. 1 SMM panel in the world
smmpanel567
 
De-risk Your Digital Evolution - Hannah Grap
De-risk Your Digital Evolution - Hannah GrapDe-risk Your Digital Evolution - Hannah Grap
Marketing as a Primary Revenue Driver - Lee Levitt
Marketing as a Primary Revenue Driver - Lee LevittMarketing as a Primary Revenue Driver - Lee Levitt
15 ideas and frameworks on the art of storytelling
15 ideas and frameworks on the art of storytelling15 ideas and frameworks on the art of storytelling
15 ideas and frameworks on the art of storytelling
Aatir Abdul Rauf
 
Digital Marketing Trends - Experts Insights on How
Digital Marketing Trends - Experts Insights on HowDigital Marketing Trends - Experts Insights on How
Winning local SEO in the Age of AI - Dennis Yu
Winning local SEO in the Age of AI - Dennis YuWinning local SEO in the Age of AI - Dennis Yu
The What, Why & How of 3D and AR in Digital Commerce
The What, Why & How of 3D and AR in Digital CommerceThe What, Why & How of 3D and AR in Digital Commerce
The What, Why & How of 3D and AR in Digital Commerce
PushON Ltd
 
My Personal Brand Exploration by Mariano
My Personal Brand Exploration by MarianoMy Personal Brand Exploration by Mariano
My Personal Brand Exploration by Mariano
marianooscos
 
Your Path to Profits - The Game-Changing Power of a Marketing OS for Your Bus...
Your Path to Profits - The Game-Changing Power of a Marketing OS for Your Bus...Your Path to Profits - The Game-Changing Power of a Marketing OS for Your Bus...
Your Path to Profits - The Game-Changing Power of a Marketing OS for Your Bus...
DigiMarCon - Digital Marketing, Media and Advertising Conferences & Exhibitions
 
Generative AI - Unleash Creative Opportunity - Peter Weltman
Generative AI - Unleash Creative Opportunity - Peter WeltmanGenerative AI - Unleash Creative Opportunity - Peter Weltman
Generative AI - Unleash Creative Opportunity - Peter Weltman
DigiMarCon - Digital Marketing, Media and Advertising Conferences & Exhibitions
 
How to use Short Form Video To Grow Your Brand and Business - Keenya Kelly
How to use Short Form Video To Grow Your Brand and Business - Keenya KellyHow to use Short Form Video To Grow Your Brand and Business - Keenya Kelly
How to use Short Form Video To Grow Your Brand and Business - Keenya Kelly
DigiMarCon - Digital Marketing, Media and Advertising Conferences & Exhibitions
 
Unknown to Unforgettable - The Art and Science to Being Irresistible on Camer...
Unknown to Unforgettable - The Art and Science to Being Irresistible on Camer...Unknown to Unforgettable - The Art and Science to Being Irresistible on Camer...
Unknown to Unforgettable - The Art and Science to Being Irresistible on Camer...
DigiMarCon - Digital Marketing, Media and Advertising Conferences & Exhibitions
 
Digital Strategy Master Class - Andrew Rupert
Digital Strategy Master Class - Andrew RupertDigital Strategy Master Class - Andrew Rupert
The Old Oak - Press Kit - Cannes Film Festival 2023
The Old Oak - Press Kit - Cannes Film Festival 2023The Old Oak - Press Kit - Cannes Film Festival 2023
The Old Oak - Press Kit - Cannes Film Festival 2023
Pascal Fintoni
 
SEO as the Backbone of Digital Marketing
SEO as the Backbone of Digital MarketingSEO as the Backbone of Digital Marketing
SEO as the Backbone of Digital Marketing
Felipe Bazon
 
BLOOM_May2024. Balmer Lawrie Online Monthly Bulletin
BLOOM_May2024. Balmer Lawrie Online Monthly BulletinBLOOM_May2024. Balmer Lawrie Online Monthly Bulletin
BLOOM_May2024. Balmer Lawrie Online Monthly Bulletin
BalmerLawrie
 

Recently uploaded (20)

Core Web Vitals SEO Workshop - improve your performance [pdf]
Core Web Vitals SEO Workshop - improve your performance [pdf]Core Web Vitals SEO Workshop - improve your performance [pdf]
Core Web Vitals SEO Workshop - improve your performance [pdf]
 
Playlist and Paint Event with Sony Music U
Playlist and Paint Event with Sony Music UPlaylist and Paint Event with Sony Music U
Playlist and Paint Event with Sony Music U
 
Top 3 Ways to Align Sales and Marketing Teams for Rapid Growth
Top 3 Ways to Align Sales and Marketing Teams for Rapid GrowthTop 3 Ways to Align Sales and Marketing Teams for Rapid Growth
Top 3 Ways to Align Sales and Marketing Teams for Rapid Growth
 
Your Path to Profits - The Game-Changing Power of a Marketing - Daniel Bussius
Your Path to Profits - The Game-Changing Power of a Marketing - Daniel BussiusYour Path to Profits - The Game-Changing Power of a Marketing - Daniel Bussius
Your Path to Profits - The Game-Changing Power of a Marketing - Daniel Bussius
 
SMM Cheap - No. 1 SMM panel in the world
SMM Cheap - No. 1 SMM panel in the worldSMM Cheap - No. 1 SMM panel in the world
SMM Cheap - No. 1 SMM panel in the world
 
De-risk Your Digital Evolution - Hannah Grap
De-risk Your Digital Evolution - Hannah GrapDe-risk Your Digital Evolution - Hannah Grap
De-risk Your Digital Evolution - Hannah Grap
 
Marketing as a Primary Revenue Driver - Lee Levitt
Marketing as a Primary Revenue Driver - Lee LevittMarketing as a Primary Revenue Driver - Lee Levitt
Marketing as a Primary Revenue Driver - Lee Levitt
 
15 ideas and frameworks on the art of storytelling
15 ideas and frameworks on the art of storytelling15 ideas and frameworks on the art of storytelling
15 ideas and frameworks on the art of storytelling
 
Digital Marketing Trends - Experts Insights on How
Digital Marketing Trends - Experts Insights on HowDigital Marketing Trends - Experts Insights on How
Digital Marketing Trends - Experts Insights on How
 
Winning local SEO in the Age of AI - Dennis Yu
Winning local SEO in the Age of AI - Dennis YuWinning local SEO in the Age of AI - Dennis Yu
Winning local SEO in the Age of AI - Dennis Yu
 
The What, Why & How of 3D and AR in Digital Commerce
The What, Why & How of 3D and AR in Digital CommerceThe What, Why & How of 3D and AR in Digital Commerce
The What, Why & How of 3D and AR in Digital Commerce
 
My Personal Brand Exploration by Mariano
My Personal Brand Exploration by MarianoMy Personal Brand Exploration by Mariano
My Personal Brand Exploration by Mariano
 
Your Path to Profits - The Game-Changing Power of a Marketing OS for Your Bus...
Your Path to Profits - The Game-Changing Power of a Marketing OS for Your Bus...Your Path to Profits - The Game-Changing Power of a Marketing OS for Your Bus...
Your Path to Profits - The Game-Changing Power of a Marketing OS for Your Bus...
 
Generative AI - Unleash Creative Opportunity - Peter Weltman
Generative AI - Unleash Creative Opportunity - Peter WeltmanGenerative AI - Unleash Creative Opportunity - Peter Weltman
Generative AI - Unleash Creative Opportunity - Peter Weltman
 
How to use Short Form Video To Grow Your Brand and Business - Keenya Kelly
How to use Short Form Video To Grow Your Brand and Business - Keenya KellyHow to use Short Form Video To Grow Your Brand and Business - Keenya Kelly
How to use Short Form Video To Grow Your Brand and Business - Keenya Kelly
 
Unknown to Unforgettable - The Art and Science to Being Irresistible on Camer...
Unknown to Unforgettable - The Art and Science to Being Irresistible on Camer...Unknown to Unforgettable - The Art and Science to Being Irresistible on Camer...
Unknown to Unforgettable - The Art and Science to Being Irresistible on Camer...
 
Digital Strategy Master Class - Andrew Rupert
Digital Strategy Master Class - Andrew RupertDigital Strategy Master Class - Andrew Rupert
Digital Strategy Master Class - Andrew Rupert
 
The Old Oak - Press Kit - Cannes Film Festival 2023
The Old Oak - Press Kit - Cannes Film Festival 2023The Old Oak - Press Kit - Cannes Film Festival 2023
The Old Oak - Press Kit - Cannes Film Festival 2023
 
SEO as the Backbone of Digital Marketing
SEO as the Backbone of Digital MarketingSEO as the Backbone of Digital Marketing
SEO as the Backbone of Digital Marketing
 
BLOOM_May2024. Balmer Lawrie Online Monthly Bulletin
BLOOM_May2024. Balmer Lawrie Online Monthly BulletinBLOOM_May2024. Balmer Lawrie Online Monthly Bulletin
BLOOM_May2024. Balmer Lawrie Online Monthly Bulletin
 

Market Research Blind Product Test

  • 1. Submitted By: 11/6/2014 Amarjeet Singh Koushik Rakshit Namita Pandey Roma Agrawal 1
  • 2.  Background  Objective  Research Design  Sample Size and Data Description  Feedback  Analysis  Summary  Questions 11/6/2014 2
  • 3.  R & D team of Smirnoff has prepared two new blends of Vodka; Test Blend 1 and Test Blend 2  Marketing team want to do Blind test of the two new blends Vs. Smirnoff (Control Blend)  Any of the Test Blends if found to be better than Smirnoff then it will be replaced by that new Test Blend. 11/6/2014 3
  • 4.  Primary Objective  To test whether drinkers have liked the new test blends of vodka or not.  To decide whether current blend should be replaced by any of the new test blends or not (at 90% and 95% Confidence level)  Secondary Objective  To find the important attributes that drive overall preference of vodka and to what extent they are responsible for overall likability of the blend.  To reduce the correlated attributes into factors and to see their effect on overall likeability  To predict the purchase intentions by evaluating the ratings on attributes. 11/6/2014 4
  • 5.  One to one interview was conducted in 5 large cities – Delhi, Mumbai, Kolkata, Bangalore, Chennai  The Research was conducted with sequential monadic exposure – 3 blends were given one after the another and feedback was taken  Consumers were given neutralizer after each blend to remove bias  Target Group Males/Females in the age group of 25 – 35 yrs. Consuming vodka at least twice a week Regular consumer of any one of the three brands – Smirnoff, Fuel or Magic Moments 11/6/2014 5
  • 6. 760, each will be given 3 blends of Vodka Total = 760*3 = 2280 observations  Each person will be given a unique a “unique response no” and they have to response for each of 3 blends, i.e., 3 rows for each persons.  11/6/2014 6 PANEL PANEL1 (where Test Product 1 is first blend) PANEL1 (where Control Product is first blend) PANEL1 (where Test Product 2 is first blend)
  • 7.  Age- Recorded as number of yrs., ranging from 25 to 35  Ages – Recorded as two bands of Age 1 – Age between 25–30yrs & 2 – Age between 31–35yrs 11/6/2014 30 25 20 15 10 7 12.93 24.33 6.08 2.66 2.66 6.46 13.69 9.13 6.08 7.98 7.98 14.4 18.4 6.8 4 1.2 5.6 11.2 12 3.2 11.2 12 14.57 14.57 6.88 7.69 3.64 3.64 14.17 9.72 4.86 12.96 7.29 5 0 25 26 27 28 29 30 31 32 33 34 35 P E R C E N T A G E AGE (YR) PANEL1 PANEL2 PANEL3 At 95%, there is no significant difference among age and age groups
  • 8.  Study was done in 5 centers: 22 21 20 19 18 17  Placement Order and Product goes together– 1 – First-placed blend 2 – Second-placed blend 3 – Third-placed blend Product beside this specifies which blend is first, second or third. 11/6/2014 8 20.91 20.53 19.77 18.25 20.53 18 19.6 20.4 20.8 21.2 19.03 19.43 19.84 21.46 20.24 16 DELHI MUMBAI KOLKATA BANGALORE CHENNAI P E R C E N T A G E PANEL1 PANEL2 PANEL3 At 95%, there is no significant difference among centers as well
  • 9.  Each attribute was ranked on a scale of 1 to 10 (10 being the max and 0 means that it is not all being liked by the drinker)  Strength of different attribute was taken on 5 point likert scale:  Intention to buy 1-Yes and 2-No 11/6/2014 9 1 (too weak) 2 (little weak) 3 (just right) 4 (too strong) 5 (too strong)
  • 11.  Attributes in the order of their importance: Taste -> Mouth Feel -> Aroma -> Smoothness -> Throat Feel -> Flavor -> After Taste  “After taste” was not adding any value so Ignored that attribute in predicting the overall likeability  Regression Equation:  This equation explains 77.4 % variability in Overall Likeability 11/6/2014 11 [Overall Likeability] = 0.589 + 0.174[Aroma] + 0.300[Taste] + 0.118[Smoothness] + 0.089[Flavour] + 0.101[Throat Feel] + 0.206[Mouth Feel]
  • 12. 11/6/2014 12 Top2 at 95% CL Prod1 and Prod2 Prod3 and Prod2 Overall Likeability SAME SAME Taste SAME SAME Mouth Feel SAME SAME Top3 at 95% CL Prod1 and Prod2 Prod3 and Prod2 Overall Likeability DIFFERENT SAME Taste DIFFERENT SAME Mouth Feel SAME SAME MainBrand %age Magic Moments 22.76% Smirnoff 62.23% Fuel 15.00% Neither Blends are better than Control Product (Smirnoff)at 95% Confidence Level (Taken top 2 rating and top 3 ratings)
  • 13.  Attributes in the order of their importance: Strength Of Taste -> Strength of Smoothness -> Strength of After Taste -> Strength of Flavor  “Strength of Aroma” is not a important factor. [Overall Likeability] = 8.56 - 0.300[Strength of Taste] + 0.150[Strength of Smoothness] - 0.093[Strength of Flavour] - 0.117[Strength of After Taste]  This equation explains 7.1 % variability in Overall Likeability, We should not consider all these. 11/6/2014 13 Note: This is not correct to do, as OL is on 10 point scale and rest of the predictors are on 5 point scale
  • 14. 11/6/2014 14 Correlation Matrix Aroma Taste Smoothness Flavor Throat-Feel After-taste Mouth-Feel Correla tion Aroma 1.000 Taste .699 1.000 Smoothness .650 .778 1.000 Flavor .699 .783 .730 1.000 Throat-Feel .644 .749 .784 .743 1.000 After-taste .658 .791 .759 .772 .796 1.000 Mouth-Feel .652 .797 .762 .768 .814 .831 1.000 Huge Correlation and KMO statistics (0.945) > 0.5 hence we can go for factor Analysis
  • 15. 11/6/2014 15 Total Variance Explained Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative % 1 5.482 78.316 78.316 5.482 78.316 78.316 2 .431 6.156 84.473 3 .276 3.939 88.412 4 .252 3.603 92.015 5 .220 3.146 95.161 6 .179 2.558 97.718 7 .160 2.282 100.000 Total Variance is explained by 1 component only.
  • 16. Structure Matrix Function 1 Taste .373 Aroma .337 Throat-feel .212 Smoothness .139 Flavor .057 After Taste -.072 Mouth Feel .148 11/6/2014 16 Considering all attributes except Overall Likeability Classification Resultsa,c Q6_Int_p (Y=1,N=2) Predicted Group Membership 1 2 Total Original Count 1 519 204 723 2 125 1432 1557 % 1 71.8 28.2 100.0 2 8.0 92.0 100.0 Cross-validated b Count 1 516 207 723 2 127 1430 1557 % 1 71.4 28.6 100.0 2 8.2 91.8 100.0 a. 85.6% of original grouped cases correctly classified. b. 85.4% of cross-validated grouped cases correctly classified.
  • 17. 11/6/2014 17 Standardized Canonical Discriminant Function Coefficients Function 1 Taste .477 Aroma .370 Throat-Feel .329 Only considering 3 most important attributes Classification Resultsa,c Q6_Int_p (Y=1,N=2) Predicted Group Membership 1 2 Total Original Count 1 498 225 723 2 129 1428 1557 % 1 68.9 31.1 100.0 2 8.3 91.7 100.0 Cross-validated b Count 1 498 225 723 2 129 1428 1557 % 1 68.9 31.1 100.0 2 8.3 91.7 100.0 a. 84.5% of original grouped cases correctly classified. b. 84.5% of cross-validated grouped cases correctly classified.
  • 18.  There is no difference in samples w.r.t age, ages, market, centers, panels, products.  (Chi square test is used to test this)  Taste and Mouth Feel are most important attributes and After taste is least important  (Regression and step-wise regression)  Seen that there were correlation between many attributes, we clubbed the correlated attributes into factors and then tried to find the effect on overall likeability  (Factor Analysis and Regression)  We tried to discriminate the two levels of purchase intension on the basis of attributes  Important attributes were: Overall likeability, taste, Mouth Feel  Least Important comes out to be: Flavor and after taste 11/6/2014 18
  • 19.  Control product should not be replaced by any of the test products  Aroma, Taste, Mouth-Feel and Throat feel are most important attributes that drinkers like.  After taste is least important  Main brand of drinkers is Smirnoff only.  Company should concentrate on these 3 attributes if in future they want to launch any new products  We would like to suggest a launch of new product but not with the replacement of Smirnoff 11/6/2014 19