Market Skyline of India - Districts

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    MarketMarket

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    IndiaIndia

    All India, Each State, Each DistrictAll India, Each State, Each District

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    TheTheRelevantRelevant

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    ConsumerConsumer

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    TheTheRelevantRelevant

    ConsumerConsumer

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    What, Why, How and ForWhat, Why, How and For

    WhomWhomIndias vast market is one of the most complex in the world More than a billion consumers spread out over

    More than 600,000 villages

    More than 4,000 townsMore than 400 cities

    More than 35 urban agglomerations

    Reliable Data is difficult to get

    Large scale primary research is not feasible Marketers and strategists have to rely on proxies

    and shortcuts

    These are increasingly unreliable as the focus

    goes more micro

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    WhyWhy

    Surveys vs. Estimations:The problems and pitfalls of overdependenceon surveys

    Surveys lie at the core of all economic and market estimates. However,

    surveys have certain flaws that serious researchers are aware of. Some of

    the more common problems are:

    Under-reporting when information on certain segments is less than

    its importance/share in the population

    Over-reporting when information on certain segments is more than

    its share/importance in the population

    Mis-reporting when information is not correctly reported/enteredInappropriate sampling when sample is not representative of the

    population characteristics

    Weighting when incorrect proportions are imposed on certain

    segments in the sample to get the population averages/levels

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    HowHowThe Indicus Methodology:

    Follows techniques of

    economic research

    as well as the latest in small

    area estimation techniques

    to develop robust estimates.

    What differentiates Indicus from

    others is our focus on economic

    research and an understanding of

    Indias economic structure at the

    micro level. This enables us to

    drill down to finer and finereconomic-geographic-demographic

    cuts.

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    HowHow

    Access to raw

    databases that containinformation on socio-

    economic characteristics

    and economic activities ofhouseholds - Income,

    Expenditure, Saving,

    Demography, Asset,

    Gender, Education,

    Employment, Trends, Age,

    Family, etc.

    Raw Primary Data

    Indicus proprietary,

    National Sample Survey,

    National Family and

    Health Survey, DistrictLevel Household

    Survey, etc.

    Basic Database

    Contains information on all

    household types acrossgeographic and demographic

    segments.

    Final Products

    Market Skyline Districts,

    Towns, Rural blocks

    Consumer Spectrum SEC,

    Life Stage, Combinations

    Expenditure Spectrum

    City Skyline - Neighbourhood

    Find Patterns withEconometricsFind relationships between

    individual and household

    characteristics. Estimate under

    and unreported information

    using these relationships.

    The full range of household and individualtypes is available for further analysis. This

    requires that for each district and sub-district

    geographical unit of interest there are enough

    data-points for robust results..

    The internal structure of the database is

    synchronous with the economic structure of

    the location; moreover, the better weighting

    scheme ensures representative-ness across

    fine geographic and consumer segments.

    Representative Fine

    Segments

    Robust and up-to-date

    Validated with

    all known info on

    Indian economy andconsumer markets

    Core Database

    Augmented Database

    With appropriate weights

    relevant at national,state, district,

    sub district, city and

    neighbourhood level.

    Calibration & Distribution

    AnalysisEconomic and socio-economic

    distributions are comparable with credible

    known information - National Accounts,Registrar General of India, etc.

    Cluster using Neural NetworksFind common patterns across geographical and

    consumer cuts; validate with Indicus data on

    district economic structure to derive appropriate

    weights.

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    Users and UsesUsers and Uses

    Marketing Managers Identify appropriate markets to target

    Sales Teams Distinguish between new markets where networks need

    to be built and old ones where channels need to be strengthened

    Market Strategists Prioritize locations for more effective consumer

    targeting

    Banking Find areas with poor credit penetration and unmet credit

    demand.

    Insurance Identify locations that have the most appropriate socio-

    economic and income profile for different insurance productsAsset Management Companies Locations and consumer groups

    there-in with rapidly growing incomes and with best savings profiles

    Real Estate Developers Focus on areas with unmet housing demand

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    CoverageCoverage

    .

    Market Size:

    Aggregate expenditure by households

    in 5 broad categories that include

    Food, FMCG, Consumer Durables,

    Clothing & Footwear, Miscellaneous

    Goods and Services-available for all the geographical,

    income, and demographic cuts.

    For a selected set the data can bedrilled down to about 20 categories

    Socio-Economic Classification:

    We provide the full distribution of urban SEC A to E

    households for each district in the country.

    In a complementary product (Consumer Spectrum of

    India) we have further sub-divided SECs on the basis

    of life stages (young, middle, and senior),

    making an overall 15 cuts.

    For those who are interested in finer segmentation,

    Indicus has used the latest in neural networks

    and statistical algorithms to generate 33 homogenous

    Segments of urban consumers.

    A similar segmentation of the rural SEC R1 to R5

    households have been done creating a set of 50 cuts

    (on the basis of 10 life stages and SEC).

    Income Distribution:

    Urban and rural households classified

    by income in six brackets ranging fromless than Rs 75,000 to greater than

    Rs 1,000,000 (ten lakh).

    Households and population

    Income, saving and expenditure

    Growth rates

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    Geographical CoverageGeographical CoverageGranularity:

    The Market Skyline provides data separately for rural and urban areas

    for all districts of India. Other database products from Indicus provide

    information at even finer geographical granularity.

    Block level there are nearly 5,500 (5464 to be precise) blocks spread

    over nearly 600 districts as per Census 2001 figures. Income distribution,expenditures and savings are available for each of these.

    Town level Information on all 450 odd towns with a population of

    greater than 100,000 in 2001.

    Neighbourhood level - For all the major metros an even finer geographical

    segmentation at the neighbourhood level is also available.

    Rural or urban, drilled down to the finest level

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    ParametersParametersConsumer Demography

    PopulationHouseholdsHouseholds in each income bracket.Population in each income bracket.Socio-Economic Classification for

    Urban Households

    Geographical Area

    Consumer Markets

    Annual Household ExpenditureAnnual Market Size across

    Food Products, FMCG products, Durables,Clothing & Footwear, MiscellaneousGoods & Services

    Per Capita Income

    Per Capita SavingPer Capita Expenditure

    Sector wise Growth Rates

    GranularityCountryStateDistrict

    Separated forUrban and Rural

    segments

    A total of 150

    parameters attwo points in

    time

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    Insights from ProductInsights from Product

    Suburbs have come to be independent

    economic entities:Internationally, the term suburb conjures up images of a relativelyunspoilt, less densely populated and predominantly residential

    community close to a city. In India, it is difficult to find such

    conditions.

    The lack of office space in New Delhi, the lack of new residential

    areas in Kolkata and expensive real estate in Mumbai have

    contributed to the growth of Salt Lake, Gurgaon, and Navi Mumbai.

    Now all threeare more than just real estate alternatives to larger neighbours.

    Middle class accounts for bulk of urban

    spending:About 61% of total urban income comes from households

    that can be classified as middle class earning between Rs

    75,000 and Rs 5 lakh a year.

    This segment comprises the lower middle class earning

    between Rs75,000 and Rs 1.5 lakh a year (10% of total

    urban income is from this category), the middle class

    earning between Rs 1.5 lakh and Rs 2 lakh a year (29% of

    income share) and the upper middle class earning between

    Rs 3 lakh and Rs 5 lakh a year (22 % of urban income).

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    Insights from ProductInsights from Product

    Urban Households earning over INR 300,000 pa

    Surat, highest number of millionaire

    households in Western India (excluding

    the Mumbai region)Chandigarh, Indias richest city, 21% of

    households earn more than Rs. 1 million

    a yearBelgaum is Karnatakas second largest

    consumer marketGurgaon, Surat, Ludhiana and Waynad

    are Indias richest rural districts

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    Insights from ProductInsights from Product

    Ever-expanding Districts - anaggregate Market Size of almost Rs 26

    trillion

    49% of Indias market lies in

    UP, Maharashtra, West

    Bengal, AP and Gujarat

    alone

    Urban Millionaire Districts:Faridabad (3rd largest)

    Ludhiana (4th largest)

    Largest Rural BOP Markets

    Medinipur, South 24 Pgns,

    Murshidabad, East Godavari

    Belgaum is the second largest

    market in Karnataka

    Surat ranks top in terms of

    rural millionaire households

    in Western Zone

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    Insights from ProductInsights from Product

    21% of total households in Chandigarh(richest market in India) earn more than

    10 lakh a year

    Top 2 Urban districts based

    on Income Growth rate-D &

    N Haveli (23%),

    Gandhinagar(22%)

    Rural districts with max no.

    of millionaires-Gurgaon,Ludhiana, Surat, Waynad

    Ganjam : Largest market in

    Orissa

    Upcoming districts based

    on absolute increase in

    income- Thiruvallur,

    Vadodara, Barddhaman,

    Rangareddi, Faridabad,

    Medinipur

    Potential Rural Markets:

    Alappuzha, Thrissur, Ernakulam,

    Pathanamthitta, Kottayam - high

    per capita income but low per

    capita expenditure.

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    For query or placing orders please contact

    Indicus Analytics Pvt. Ltd.

    2nd Floor, Nehru House,

    4 Bahadur Shah Zafar Marg

    New Delhi- 110002.

    Phone: 91-11-42512400/01

    E-mail: [email protected]