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8/2/2019 Presentation1 MARKETING
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IDENTIFICATION,SEGMENTATIO
N,CLUSTERING &TARGETINGOF 2 FMCG PRODUCTS
PRESENTED BY
RAHUL CHATURVEDI
NIT DURGAPUR
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Overview:
Identification of 2 FMCG Products.
Survey and data collection.
Cluster Analysis using SPSSPackage.
Segmentation process.
Targeting Specialized Segment.
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Identification
Two identified FMCG Products :
Toothpaste
Shampoo
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Survey & Data Collection:
Basis of Survey :(i) Variable identification and initialsurvey,
(a) Personal Interviews(b)Telephonic Interviews
(ii) Survey and data collection fordoing Cluster analysis &Segmentation
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Initial Survey & QuestionnaireFormation:
Interviewed people from variousworking fields and identified the
variables.
Surveyed and identified the variables.
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IDENTIFIED VARIABLES FORTOOTHPASTE Flavours Product appearance Colour, Gel form Granules Whiteness of teeth Price
Worries Ingredients Extracted From Freshness
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IDENTIFIED VARIABLES FORSHAMPOO Anti Dandruff
Shine
Suited Exclusively For Your Type Of Hair
Ingredient Hair fall control
Price
Added Features Conditioning
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Scaling & Survey
Classified the variables into scalesranging from 1-7
Basis Of Scaling -7 High Importance(H)
1 - Low Importance(L)
Survey and data collection from 200people through questionnaire inDURGAPUR
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How do you rate the following variables? (Tick the
appropriate box) Tooth paste:
Flavours :
(i) Mint Flavour(ii) Strawberry Flavour
(iii) Lemon Flavour
Product appearance :
(i) White
(ii) Pink
(ii) Mixture of White with other shades
Gel form :
(i) Red Gel
(ii) Blue Gel
(iii) Green Gel
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Granules
(i) Micro Granules
(ii) Crystal Granules
(iii) Calcium Granules
Whiteness of teeth
(i) High
(ii) Medium
(iii) Low
Price
(i) High
(ii) Medium
(iii) Low
Freshnes
(i) All Day Long Freshness
(ii) Limited Freshness
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Worries
(i) Decay /Cavity
(ii) Foul Smell
(iii) Tooth Ache
(iv) Root Caries
(v) Germ Protection
(vi) Stains & Spots
(vii) Gum Bleeding
Ingredients Extracted From
(a) Plant extracts i.e. Herbal Origin
(b) Inorganic Extracts
(i) Calcium Carbonate
(ii) Sodium Monofluro Phosphate
(iii) Silica
(iv) Triclosan
(v) Other Calcium Compounds
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Cluster
serialNo
flavour Whiteness of Teeth colour Gel form Granuleform Extracted from Price Worries Ingredients
ProductAppearance
1 3 5 5 5 5 3 5 5 5 3
2 4 5 3 5 4 4 5 5 5 3
3 5 3 3 5 4 5 5 5 5 3
4 4 4 5 5 5 3 5 4 5 4
5 5 5 5 5 5 2 5 5 3 2
6 4 4 5 5 4 1 5 5 4 4
7 4 5 5 5 5 5 5 4 4 2
8 5 5 4 5 5 4 5 5 5 1
9 3 3 3 5 5 2 5 5 5 5
10 3 3 5 2 5 4 5 3 4 3
COLLECTED DATA OF TOOTHPASTE
Cl fl Whi G l G l E P i W i I di P d t
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Clusterserial
No
flavour Whiteness ofTeeth
colour Gelform
Granule form
Extracted
from
Price Worries
Ingredients
ProductAppear
ance
15 5 5 5 5 5 2 5 5 5 3
16 5 5 5 5 5 1 5 5 5 3
17 5 5 5 5 5 1 5 5 5 4
18 5 3 3 5 4 3 5 4 5 3
19 5 5 4 5 5 4 5 4 5 2
20 4 5 5 2 5 3 5 5 5 2
21 5 3 5 4 5 2 5 3 5 2
22 4 4 4 5 5 2 5 4 3 2
23 5 4 5 5 5 3 5 4 4 2
24 5 4 5 5 5 1 5 4 3 1
25 5 4 5 5 5 2 5 4 3 2
26 4 5 4 5 5 3 5 5 4 2
27 5 4 5 3 4 4 5 5 2 1
28 4 3 1 5 2 1 5 5 3 1
29 5 4 4 5 5 5 5 5 3 2
C t fl P d l G l
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Customer
serialNo
flavour Product
appearence
colour Gelform
Granule
form
Extracte
dfrom
Price
Worries
Ingredients
Whiteness ofTeet
h
31 5 5 5 5 5 4 5 5 4 1
32 4 5 3 3 3 5 4 1 2 3
33 4 5 3 5 1 3 4 2 1 2
34 4 5 5 3 3 4 5 4 3 1
35 4 5 2 4 3 4 5 2 1 5
36 5 5 5 2 4 5 5 5 4 4
37 5 5 1 3 3 5 5 4 4 2
38 5 4 5 4 2 4 4 5 4 4
39 3 5 1 2 2 5 5 3 4 1
40 5 5 4 3 2 4 4 3 4 4
41 5 5 4 4 2 4 4 4 1 3
42 5 5 5 1 2 3 4 3 1 2
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2 5 1 5 4 5 5 4 2 4
5 5 5 4 3 5 5 3 4 3
5 5 5 5 4 4 5 3 4 2
4 5 4 5 2 4 4 3 4 2
5 5 5 5 4 5 5 4 4 2
5 3 5 5 1 5 5 2 1 2
4 5 3 5 4 5 4 3 2 2
4 4 3 5 3 5 4 4 2 1
5 4 3 4 2 5 4 3 1 2
5 4 3 5 1 5 4 3 2 2
5 4 3 5 1 5 5 4 2 2
5 4 4 5 3 5 5 2 1 4
4 3 5 4 3 5 5 3 1 3
4 4 3 4 2 5 5 3 2 2
4 4 3 5 3 5 4 4 1 2
5 5 4 4 1 5 5 4 1 2
Clusterserial
No
flavour Whiteness ofTeeth
colour Gelform
Granule form
Extracted
from
Price Worries
Ingredients
ProductAppear
ance
46 2 5 1 5 4 5 5 4 2 4
47 5 5 5 4 3 5 5 3 4 3
48 5 5 5 5 4 4 5 3 4 2
49 4 5 4 5 2 4 4 3 4 2
50 5 5 5 5 4 5 5 4 4 2
51 5 3 5 5 1 5 5 2 1 2
52 4 5 3 5 4 5 4 3 2 2
53 4 4 3 5 3 5 4 4 2 1
54 5 4 3 4 2 5 4 3 1 2
55 5 4 3 5 1 5 4 3 2 2
56 5 4 3 5 1 5 5 4 2 2
57 5 4 4 5 3 5 5 2 1 4
58 4 3 5 4 3 5 5 3 1 3
59 4 4 3 4 2 5 5 3 2 2
60 4 4 3 5 3 5 4 4 1 2
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Cluster
serialNo
Antidandruff
Shine Suited hair Ingradients
hair fallcontrol
Conditioning
price Addedfeatures
1 5 5 5 5 5 5 5 3
2 3 3 5 5 5 4 5 3
3 3 4 4 4 5 5 5 3
4 4 4 5 5 5 5 4 4
5 5 3 5 5 5 5 5 5
6 5 5 5 5 5 5 5 5
7 5 5 5 4 3 3 5 4
8 3 4 5 5 3 3 5 4
9 4 3 5 5 5 5 5 5
10 4 5 5 4 4 3 5 5
11 4 5 5 5 5 5 5 5
12 3 4 5 5 4 4 4 3
13 4 4 5 4 4 5 4 4
COLLECTION DATA FOR SHAMPOO
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Clusterserial
No
Antidandruff
Shine Suited hair Ingradients
hair fallcontrol
Conditioning
price Addedfeatures
16 3 4 5 5 4 4 5 4
17 4 4 5 5 3 3 5 4
18 3 4 5 5 5 4 5 4
19 5 5 5 5 5 5 5 3
20 4 4 5 5 4 3 5 3
21 5 4 5 4 3 3 5 4
22 4 3 5 4 5 3 5 4
23 3 4 5 5 4 3 5 4
24 4 4 5 5 4 3 5 4
25 3 3 5 5 4 3 5 4
26 4 4 5 5 4 4 5 4
27 2 4 5 4 4 5 5 4
28 4 3 5 4 3 3 5 4
29 5 4 4 4 3 3 5 4
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Clusterserial No
Anti
dandruff
Shine Suited
hair
In
gradients
hair fall
control
Conditioni
ng
price Added
features
31 4 2 5 3 3 4 4 5
32 2 2 4 4 3 5 4 4
33 5 4 3 2 1 5 4 3
34 3 4 5 5 5 5 5 5
35 4 5 4 3 3 5 4 4
36 4 5 5 3 3 5 4 5
37 5 5 3 2 1 5 4 3
38 4 1 5 3 5 3 4 5
39 5 5 5 5 5 4 4 5
40 5 4 3 5 5 4 5 3
41 5 2 4 3 4 5 3 4
42 5 4 4 2 1 4 5 3
43 5 1 2 5 5 5 5 3
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Clusterserial No
Antidandruff
Shine Suitedhair
Ingradients
hair fallcontrol
Conditioning
price Addedfeatures
46 5 2 5 2 3 5 4 2
47 5 1 5 4 4 4 3 3
48 5 1 4 3 3 5 4 4
49 4 3 5 3 2 5 3 3
50 5 3 4 5 4 5 5 3
51 3 5 5 4 5 5 5 4
52 1 3 5 4 5 5 5 2
53 3 4 5 4 5 5 5 3
54 3 4 4 5 4 5 5 4
55 4 5 5 4 5 3 4 4
56 3 5 4 3 1 5 2 3
57 2 4 5 4 4 5 5 4
58 2 5 5 4 4 5 5 4
59 2 4 5 5 5 5 5 3
60 2 4 5 4 5 5 5 4
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CLUSTERING
Clustering means classifying objectsinto homogeneous groups.
The result of these data analysis inSPSS Package results into Clustering.
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Cluster No. Toothpaste Shampoo
Cluster 1 1 -26,28-30,35,
47,49
1-30,34-
36,39,40,50,51,53-55,57-60
Cluster 2 27, 31,38,41,45-49
Cluster 3 31,32,34,37,39,40,41,42,44,46,48,50-60
32,52
Cluster 436,38,43, 33,37,42,44,56
Cluster 5 45 43
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MARKET SEGMENTATION
DefinitionDividing a market into distinctgroups with distinct needs,
characteristics, or behavior who mightrequire separate products ormarketing mixes.
Dividing a big heterogeneous marketinto small homogenous unit.
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STEPS IN MARKET
SEGMENTATIONSteps involved in Market Segmentation are:-
Identified the current and the potential needs of the
customer existing already in the market to be
segmented.
Identified the unique and distinguishable features
that may divide the market into segments.
Selected those segments which offer higher potential
and which will also be tactible to the offering of the
firm
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Clusterserial
No
flavour
Whiteness
ofTeeth
colour
Gelform
Granule form
Extracted
from
Price Worries
Ingredients
Product
Appea
rance
Cluster 1
H MH MH H M H M H MH M
Cluster 2 MH M L H ML L H H M L
Cluster 3
MH MH MH MH ML H MH M ML M
Cluster 4
M H ML ML M H MH MH MH L
Cluster 5
ML H L H MH H H MH ML MH
Toothpaste
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Shampoo
Cluster serialNo Antidandruff Shine Suitedhair Ingradients hair fallcontrol Conditioning price Addedfeatures
Cluster 1 H MH H H MH MH H MH
Cluster 2 MH ML MH ML M MH MH MH
Cluster 3 ML ML MH MH MH H MH M
Cluster 4 H MH MH ML H MH MH M
Cluster 5 H L ML H H H H M
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Variables Priority forToothpaste According to our variables priority-
Whiteness
Freshness
Gel form
PriceGranules
Worries
Product appearance
Flavour
Ingredient extracted from
colour
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Variables Priority for Shampoo According to our variables priority-
Antidandruff
Hair fall control
Conditioning
ShineSuited for hair
Price
Added features
Ingredients
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TARGETING SEGMENTS :
Targeted Segment for Toothpaste:
Cluster 5
Targeted segment for Shampoo:
Cluster 4
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CONCLUSION:
Through this clustering andsegmentation process we came to
know the segments most suitable forour selected products .
Targeted the specific segments.
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THANK YOU
HAVE A NICE DAY