A collection of insights on multiple consumer segments in India. It goes beyond the top cities and large towns -Covering 109 urban centres -Covering 196 villages -Covering 80 of the 88 NSSO regions -From length and breadth of India: J&K to Puducherry; Goa to Sikkim Segments - Indian Urbanites (Urban SECs) India That is Bharat (Rural SECs) Indian Women Indian Youth Indian Families (by Lifecycle stage) Indian Generations (Segmentation based on Age Groups) Indian HOH (Understanding Chief Age Earners) Indian Societal Landscapes India Banks (Banking) India Bytes (PCs and Tablets) India Drives (Automobile) India Insures (Insurance) India Invests (Loan) India Shops (Retail) India Hooked (Television Consumption) India Plugged (Consumer Durables)

1. India Consumer Landscape 2013
Insights on Indian Consumers and Households

2.  Identify new target segments and sub-segments
 Understand the changing priorities of your target groups
 Their changing demographic/socio-economic profile
 Their changing media (especially new media) usage
 Plan your media mix
 Form informed hypotheses
 Discover complete new opportunities
Makes it easier for you to…
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3. 3
Helps you in knowing the size of the
target segment
and in figuring out
where they can be found and
targeted…

4. 4
Some segments at a glance…

5. The Indian Consumer Generations 2013
5
296,662,634
25 – 39 Years
(Prime Adulthood)
184,862,661
40 – 54 Years
(Middle Age)
357,477,802
13 – 24 Years
(Teenager, Young Adult)
264,407,490
Up to 12 Years
(Child)
81,963,564
55 Years & Above
(Elderly)
A
G
E
P
R
O
G
R
E
S
S
I
O
N
Gen Future
Gen Next
Gen Yest
Gen Vintg
Gen Now
I
N
D
E
P
E
N
D
E
N
C
E
P
R
O
G
R
E
S
S
I
O
N
India 2010
India 2030
India 1985
India 2000
India 2020
In the Indian context, where young people usually attain financial independence and stability mainly in their 20’s, one may take the young
between 13-24 years mostly representing the ‘Generation Next’ and the young who are 25 years or more as part of ‘Generation Now’
* Note – The model is indicative of the main natural generation transition points between ages. It is not meant to be an exhaustive depiction of all possible transition points
52.5% of India’s population of 1.18
billion is below the age of 24!

6. Great Indian Families Study 2013
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3,818,036 HH 1,575,659 HH
12,249,707 HH
139,435,601 HH
1,069,100 HH
5,133,740 HH
2,733,642 HH
3,691,190 HH
HH = Households

7. Indian Women 2013
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92,897,222
Girl Kids
Less than 12 year old unmarried
girl child
59,394,180
Women Students
Unmarried and studying
23,525,607
Working Maidens
Unmarried and working
47,522,075
Working Moms
Married with children and working
58,411,210
Working Wives
Married and working
180,400,408
Houswife Moms
Married with children and
not working
203,514,410
Houswives
Married and not working
Segmentation of Women Consumers
- by a combination of their
‘occupational’ and ‘marital’ status

8. What other segments are there?
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9.  Indian Urbanites (Urban SECs)
 India That is Bharat (Rural SECs)
 Indian Women
 Indian Youth
 Indian Families (by Lifecycle stage)
 Indian Generations (Segmentation based on Age Groups)
 Indian HOH (Understanding Chief Age Earners)
 Indian Societal Landscapes
Demographic Segments
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10.  India Banks (Banking)
 India Bytes (PCs and Tablets)
 India Drives (Automobile)
 India Insures (Insurance)
 India Invests (Loan)
 India Shops (Retail)
 India Hooked (Television Consumption)
 India Plugged (Consumer Durables)
Segments based on Product/Service Categories
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11. What all information area is covered?
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12.  Size Estimates & Classification
 Total households, By urban/rural divide, By family size
 Geographic
 Region, State, Urban/Rural area, City Type/Village Type
 Socio-Economic Profile
 Family size, Family classification by lifecycle stage
 Highest occupation and education level in the household, Neo-SEC Classification
 CWE Occupation, CWE Education, Old-SEC Classification
 CWE Education, No. of Assets in HH, New-SEC Classification
 CWE Medium of Education, Conventional SEC classification (CWE occupation-education)
 Religion , Community, Caste, Preferred language of reading
 Economic Status of the Household
 Monthly Household Income (MHI), Sources of Household Income, No. of earning members in the family
 Average per capita household income
 Ownership status of house living in, Size of the house living in (carpet area)
 Financial asset ownerships (Saving Bank Account, Fixed Deposit, RBI/Govt. Bonds, Demat Account, Medical
Insurance, Accidental Insurance, House Insurance, Mutual Funds, Company Shares/Stocks, Chit Fund
Deposits, Crop Insurance)
Household Dataset - Information Coverage
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13.  Household Consumption & Lifestyle Profile
 Physical asset ownership with category and brand (TV, TV
connection, Refrigerator, Washing
Machine, Car, Scooter, Motorcycle, Desktop, Laptop, Tablet)
 Physical asset ownership (Electricity Connection, Ceiling Fan, LPG Stove, Induction
Cooker, Music System, Portable Music Player, VCD/DVD player, Video Games, Air
Conditioner, Microwave, Food processor/Mixer/Grinder, Toaster/Sandwich Maker, Water
purifier, Commercial Vehicle, Tractor, Bicycle, Inverter/Generator,, Landline phone, Film
Camera, Digital Camera, Video Camera)
 Current investments (Land, House, Fixed Deposit, Shares, Mutual Fund, Chit
Funds, Shops, Jewelry)
 Loans with value & source (Home, Car, 2-
wheeler, Education, Durable, Personal, Business, Agricultural, Social Event related)
 Investment plans in next one year (Property , Equity, Debt, Jewelry, Insurance, Education)
 Expenditure plans in next one year (Automobile, Furniture, Home
Improvement, Travel, Social Functions)
 Shopping preference, what do they buy from where?
 Users per Household (Computer Users, Internet Users, Mobile Users, Saving Account
Holders, Credit Card Holders, Life Insurance Policy Holders, Drive Automobile)
Household Dataset - Information Coverage
13

14.  Household Level Penetrations
 Household Durables (Electricity Connection, Ceiling Fan, LPG Stove, Induction
Cooker, Music System, Portable Music Player, VCD/DVD player, Video Games, Air
Conditioner, Microwave, Food processor/Mixer/Grinder, Toaster/Sandwich
Maker, Water purifier, Commercial
Vehicle, Tractor, Bicycle, Inverter/Generator, Landline phone, Film
Camera, Digital Camera, Video Camera)
 Financial Instruments (Saving Bank Account, Fixed Deposit, RBI/Govt.
Bonds, Demat Account, Medical Insurance, Accidental Insurance, House
Insurance, Mutual Funds, Company Shares/Stocks, Chit Fund Deposits, Bank
Loans, Remittance from abroad)
Household Dataset - Information Coverage
14

15.  Size Estimates of Indian Population
 Total Individuals, By urban/rural divide
 Geographic
 Region, State, Urban/Rural area, City Type/Village Type
 Personal Demographics
 Gender, Age, Marital Status, Generational classification by age
 Status in the household (CWE or other earning member or dependent member of the
household), Occupation, Individual Income classification (if earning), Education, Medium
of Education
 Religion, Community, Caste, Mother Tongue, Preferred language of reading
 Household’s Socio-Economic Profile
 Family classification by lifecycle stage, Family size
 Highest occupation and education level in the household, Neo-SEC Classification, CWE
Occupation, CWE Education, Conventional SEC classification, New SEC classification
 Monthly Household Income (MHI), Sources of Household Income, No. of earning members in
the family, Average per capita household income, Spending power
classification, Ownership status and size (carper area) of house living in
 Asset owned in the household
Individuals Dataset - Information Coverage
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16.  Personal Consumption Lifestyle
 Vehicle: type of vehicle driven (car, scooter, motorcycle)
 Mobile Phone: whether a mobile user, no. of connections, service provider
name, no. of handsets used, handset brand and model, handset price, type of
connection plan, average minutes talked daily, monthly bill, service subscribed
to on the most used connection, features present on the most used handset,
whether listens to music on a mobile device
 Computer: whether a computer user, place from where accessing computer,
type of computer used at home
 Internet: whether an internet user, place from where accessing internet,
frequency of accessing internet, whether uses internet on mobile phone,
whether uses internet using laptop while traveling,
 Banking & Investment: whether has a saving account, how many accounts and
with which type of institution (bank/coop bank/post office), whether owns a
credit card, no. of credit cards; whether owns a demat acount
 Insurance: whether has life/medical/accident insurance policy and how many
of each of these policies
 Media Consumption: type of media used (TV/Radio/Gen Newspapers, Business
Newspapers, Gen Magazines, Business Magazines)
Individuals Dataset - Information Coverage
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17.  Household Asset Ownership
 Physical asset owned in the household and brand owned for the following
assets (TV, TV connection, Refrigerator, Washing
Machine, Car, Scooter, Motorcycle, Desktop, Laptop, Tablet)
 Financial asset ownerships in the household (Saving Bank Account, Fixed
Deposit, RBI/Govt. Bonds, Demat Account, Medical Insurance, Accidental
Insurance, House Insurance, Mutual Funds, Company Stocks, Chit Fund
Deposits, Crop Insurance)
 Household Buying/Investing Intention
 Likeliness of the Household investing in the following
(Property, Equity, Debt, Jewelry, Insurance, Higher Education)
 Likeliness of the Household buying the following (Automobile, Furniture, Home
Improvement, International Travel/Luxury Holiday, Large Social
Functions, Paying off Loan)
Individuals Dataset - Information Coverage
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18. Methodology
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19.  Most ‘recent and representative’ survey-based estimates of mobile phone users in
urban and rural India
 User-ship estimates based on a very large land survey of over 121,311 individuals
spread across all mainland states & union territories (covering all the telecom
circles) of the country. Survey conducted in May–July 2013 among 24225 households
in 109 towns and 5,841 households in 196 villages – a total of over 30,066
households
 Most ‘comprehensive’ profiling of Indian mobile users – in their
demographics, socio-economic and key mobile usage dynamics
 A deeper profiling of the Indian mobile users, their consumption lifestyle and their
mobile usage - including details about their location, economic status, and their
mobile handset and service usage patterns and preferences
 Demographic profiling and individual level SIM and handset ownerships data is based
on all mobile using individuals living in the surveyed households. Mobile usage
details and lifestyle profiling is based on the mobile using respondent members in
the surveyed households (those answering questions on behalf of their respective
households)
Offline Enumeration Study Overview
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20.  A large-scale land survey was conducted to profile and estimate the Indian
mobile users. The survey covered ‘towns’ and ‘villages’ of all population
strata in all the mainland states and union territories in India (covering all
the key, and 80 of the total 88 regions in India as classified by NSSO) – all
23 telecom circles were covered extensively
 Though the selection of towns and villages was ‘purposive’, the sampling
within the towns was done on ‘2-stage random’ basis (firstly a random
selection of polling booths, and then a random selection of households
from the electoral list within each of these randomly selected polling
booths); within villages sampling was done on ‘systematic random’ basis
(selection of every nth house in the village)
 To estimate the mobile user-ship correctly and to make the findings
representative of all mobile users in India (and not just of those
surveyed), telecom circle-wise, urban town/village class and SEC
combination level ‘household representation weights’ as derived from
authentic ‘Govt. of India’ base-level population statistics (NSSO/Census
20111) were applied to the survey data
Offline Enumeration Study Methodology
20

21. Offline Enumeration Study Geographical
Coverage
21

22. Pricing
22

23.  A. Each Dataset
(In MS Excel format) : Rs. 1,50,000
 B. Analyzed Topline Report
(in MS Power Point format) : Rs. 2,00,000
 C. Online Reporting Engine Access
(Access to dataset data on
Tableau Reporting Software) : Rs. 1,75,000 per log-in
 D. Custom queries
(48hrs turn around time from receiving payment)
- 1 custom query (restricted to 5 data cuts/banners/top-breaks and 15
cross tabulated/side break tables within the available variables of the
dataset): Rs. 50,000
- Annual upfront subscription of 12 queries in a calendar year (restricted to
5 data cuts/banners/top-breaks and 15 cross tabulated/side break tables
within the available variables of the dataset): Rs. 2,50,000
Pricing*
23* Excluding Taxes

24.  Combo Offers: If you want to order more than one format then, the
pricing is as,
A+B+C+D = Rs. 5,00,000
A+B+C = Rs. 3,50,000
B+C+D = Rs. 4,00,000
A+B = Rs. 2,50,000
A+C = Rs. 2,50,000
B+C = Rs. 2,50,000
B+D = Rs. 3,00,000
 *A = Each Dataset (In MS Excel format)
B = Analyzed Topline Report (in MS Power Point format)
C = Online Reporting Engine Access (Access to dataset data on
Tableau Reporting Software)
D = Custom queries (as previous slide)
 Trade Discounts:
1. If ordering up to 4 reports/datasets etc. - Flat 15%
2. 5 to 9 segment/vertical reports/datasets etc. - Flat 20%
3. Above 10 segment/vertical reports/datasets etc. - Flat 25%
4. For existing clients of Juxt, Smartmandate, TelecomWatch & Drizzlin
there is +10% discount
Pricing*
24* Excluding Taxes

25.  Payment Terms :100% against order confirmation
 Delivery Timeline : Syndicated Dataset Excels
Within 12 - 24 hours of payment confirmation
: Customized Dataset Excels*
Within 24-48 hours of payment confirmation
: Online Reporting tool - Tableau Login
Within 12-24 hours of payment confirmation
: Analyzed Topline Report (Powerpoint presentation)
Within 5-7 working days of payment confirmation
Payment Terms & Delivery
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26. Mrutyunjay Mishra
mrutyunjay@juxtconsult.com
Address : 23 (4th Floor), Hauz Khas Village
New Delhi - 110016
Telephone : +91-11-29535098, +91-9717133445
Website : www.juxtconsult.com
Contact Us
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27. Thank You
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