Juxt offline syndication overall master datasets 2010
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    Juxt offline syndication overall master datasets 2010 Juxt offline syndication overall master datasets 2010 Presentation Transcript

    • India Consumer Landscape 2010 The annual Offline Syndicated Master Study on Indian Consumers by Juxt
      • Most recent and representative survey-based estimates of Indian consumers, both at household and individual level
        • Based on a very large sample land survey of over 259,000 individuals spread across all mainland states & UT’s across all the 4 regions of the country in Mar–Apr 2010 (covering 37,000 households in 101 cities and 20,000 households in 1,000+ villages – a total of over 57,000 households )
      • Highly comprehensive profiling of Indian consumers – in their demographics, psychographics and consumption lifestyle
        • A deeper profiling of how Indian consumers live in their regular lifestyle, including details about their location, economic status, psychographic profile, day-to-day lifestyle habits & preferences and their shopping orientation & preferences
        • Key demographic profiling is based on 259,000+ individuals sample (accounting for all individuals living in the surveyed households). Psychographic and personal consumption lifestyle profiling is based on 57,000 individuals sample (the individual respondent who answered the survey questions)
      Study Overview
    • Study Methodology
      • A land survey is being conducted to profile and estimate the Indian consumers, both at the level of ‘household’ and ‘individuals’ as consumption entities. The survey covers ‘towns’ and ‘villages’ of all population strata in all the mainland states and union territories in India (covering all the key, and 69 of the total 77 regions in India as classified by NSSO)
      • 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 n th house in the village)
      • To make the survey findings representative of the entire Indian population (and not just of the surveyed households and individuals) appropriate state-wise, urban district/village class and SEC combination level household ‘representation weights’, as derived from the authentic ‘Govt. of India’ base-level population statistics (NSSO/Census), were applied to the survey data
      • The ‘India Consumer Landscape’ study findings are available as query-based online datasets with data exhibited as tables/graphs/charts
      • The study offers two overall level datasets , one profiling ‘Households’ as a consumption entity ( Household Dataset ) and the other profiling Individuals in the household as a consumption entity ( Individuals Dataset )
      • In addition, there are a series of supplementary datasets , with each dataset presenting findings at a specific ‘consumer segment’ level or ‘product category’ level (here the sample base is a ‘subset’ of consumers who belong to a specific ‘demographic / consumer segment’, or are users of a specific ‘product category’, and the dataset outlines the profile and consumption preferences of only these subsets of consumers)
      Reports Note: Reporting o f any supplement dataset is subject to collection of sufficient sample responses in the survey
    • Indian Shoppers Shopping Orientation & preferences Juxt India Consumer Landscape Syndicated Study Datasets Category Reports/Datasets India Mobile Mobil Service & Handsets India Bytes Personal Computers India Drives Automobiles India Banks Personal Banking India Insured Life, Gen Insurance India Plugged Home Durables India Drinks Alcoholic Drinks India Smokes Cigarettes India Grooming Personal Care India Pack Foodies Processed Food Master Datasets All Household Profile Data Household Dataset All Individual Profile Data Individuals Dataset Language, Community, Caste, Religion India Societal Landscape Lifestyle Diseases & Medication Preferences India Health Check India Hooked Indian Urbanites Urban SECs Indian Ruralites Rural SECs Indian Families Family composition & lifecycle stage Indian Generations Age groups India Spending Powers Ability to Spend India Consumer Lifestyles Ability to Spend + Inclination to Spend Indian Affluents The Uppies & The Rich Indian HOH Chief Wage Earners of the Households Indian Women Women Consumers India Investing The Financial Investors Dominant & Integrated Media Usage (TV, Print, Radio, Internet) Holidays & Travel India Holidays Consumer Segment Reports/Datasets
    • Master Datasets Pricing* * 10.3% service tax extra Household Master Dataset + Individual Consumer Master Dataset Rs. 750,000 * Key Findings PowerPoint Report for any dataset (only on order) – Rs. 50,000 per dataset Single Datasets Combo Datasets Household Master Dataset Rs. 400,000 (All available data at the household level) (At all levels – all India, urban, rural, state-wise, town class-wise, village class-wise, urban district-wise for top 25 urban districts) Individual Consumer Master Dataset Rs. 600,000 (All available data on individual consumers) (At all levels – all India, urban, rural, state-wise, town class-wise, village class-wise, urban district-wise for top 25 urban districts)
      • Payment Terms : 50% advance, 50% after delivery of all datasets/reports
      • Delivery Timeline : Household Master Dataset
      • Anytime on order after 5 th August 2010
              • : Individual Consumer Master Dataset
              • Anytime on order after 5 th August 2010
              • : PowerPoint Report
              • 1 week per dataset report thereafter from date of order
      • Reporting Format : Query access based o nline dataset
      Payment Terms & Delivery
    • Information Coverage
      • Size Estimates of Indian households
      • Total households, By urban/rural divide, By family size
      • Geographics
      • 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, 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, Households with foreign remittances as source of income and country from where such remittances received
      • Average per capita household income, Spending power classification
      • 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
      • Household Consumption & Lifestyle Profile
      • Household assets– Current ownerships, Planning to buy in next 1 year (House, Land, Bicycle, B/W TV, Air Conditioner, Microwave, Music system, Portable music player, VCD/DVD player, Regular Camera, Digital Camera, Video Camera, Video Games, Food processor, Water purifier, Toaster/Sandwich maker, Power backup, Landline phone, Tractor, Tube well/Pump, Transistor/Radio)
      • Type of household asset and brand owned currently, Type of asset and brand likely to buy in next 1 year (Color TV, TV Connection, Fridge, Washing Machine, Water purifier , Car, Motorcycle, Scooter, Computer)
      • Household classification by current ownership vis-à-vis likely to buy for each of these assets (intending replacement buyer, intending first time buyer, non-intending current user, non-intending non-user)
      •   CWE’s Consumption Lifestyle classification, Level of Socialization, Level of Consumption Impulse, Buying Orientation
      • Total monthly household expenditure (MHE) with allocation on main spend heads (Rent, Telephone Bill, Electricity Bill, Kitchen Fuel, Daily Transport/Conveyance, Loans & other liability payments, Basic Food/Grocery, Basic Toiletries, Processed Food & Snacks, Cosmetics/Grooming products, Indoor entertainment, Outdoor entertainment, Farm Equipment maintenance, Cattle Fodder/Feed) , MHE as % of MHI
      • Annual consumption expenditures on main spend heads (Clothing, Footwear, Watches, Fashion accessories, Gold/Precious Jewelry, Durables/Appliance purchase, Vehicle maintenance, Holidays, Financial investments, Savings, Farm Equipment purchase and repair, Seed purchase, Cattle purchase, Fertilizer/Pesticide Purchase, House/Roof repairing)
      • Annual allocation to Investments, Investment status classification of the HH
      • Loans currently running in the household (both number and type of loans), type of loan likely to take in next 1 year
      • Users per household – computer users, internet users, mobile users, saving account holders, credit card holders, life insurance policy holders, drive automobile, drink alcohol, smokers, suffer from a serious lifestyle disease
      Household Dataset Information Coverage
      • Household Level ‘Penetrations’
      • Household Durables (House, Land, Car, Scooter, Motorcycle, Color TV, Fridge, Washing machine, Air Conditioner, Microwave, Computer, Music system, Portable music player, VCD/DVD player, Regular Camera, Digital Camera, Video Camera, Video Games, Food processor, Water purifier, Toaster/Sandwich maker, Power backup, Landline phone)
      •   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)
      • Personal Care Products (Face cream, Deodorant, Body lotion/Moisturizer, Lipstick, Hair color, Face wash, Fairness cream, Shampoo, Conditioner, Hand wash, Hair oil, Hair cream/gel, Toilet Paper)
      • Processed Food Products (Packaged vegetables, Noodles, Ketchup/Sauce, Cold drinks, Bottled/Mineral water, Packaged Fruit Juice, Chocolates, Packaged snacks (chips, namkeen), Cornflakes/Processed cereals, Chyawanprash, Cheese, Milk additive/ supplement, Eating Fast Food, Home delivery of Food)
      •   Lifestyle Products (Jeans, Sports shoe, Readymade shirt, Readymade trouser, Watch, Travel by air, Stays in a 3 star or above hotel, TV connection)
      • Some Products in rural households only (Soap, Toothpaste, Tooth powder, Detergent Powder, Detergent Cake, Packaged Biscuits, Refined Oil, Butter, Jam, Packaged Pickles, Battery/Cell, Travel by train, Stays in a hotel)
      • Expected Change in Household Level ‘Penetrations’ in next 1 year for Household durables and Financial assets
      Household Dataset Information Coverage
      • Size Estimates of Indian Population
      • Total Individuals, By urban/rural divide
      • Geographics
      • 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
      • 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 (House, Land, Car, Motorcycle, Scooter, Bicycle, B/W TV, Color TV, TV Connection, Fridge, Washing Machine, Air Conditioner, Microwave, Music system, Portable music player, VCD/DVD player, Regular Camera, Digital Camera, Video Camera, Computer, Video Games, Food processor, Water purifier, Toaster/Sandwich maker, Power backup, Landline phone, Tractor, Tube well/Pump, Transistor/Radio)
      Individuals Dataset Information Coverage
      • Type of asset owned in the household and brand owned for the following assets (Fridge, Water purifier, Color TV, TV Connection, Washing Machine, Car, Motorcycle, Scooter, Computer)
      • 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)
      • Total monthly household expenditure (MHE), MHE as % of MHI, Total annual consumption expenditures
      • CWE’s Consumption Lifestyle classification, Level of Socialization, Level of Consumption Impulse, Buying Orientation
      • Personal Psychographics
      • Most important priorities in life currently, Current hobbies and interests, Living celebrity currently identify with the most
      • Favorite indoor entertainment activities, Favorite outdoor entertainment activities
      • Parameter that defines ‘status in the society’ for them, Desired professional qualification for self/children (as applicable)
      • Self perception of own physique (physical fitness and looks)
      • Personal Consumption Lifestyle Orientation
      • Personal Consumption Lifestyle classification
      • Level of socialization/social influence (how inclined to interact with others in spending spare time at home, outside, in party/get-together, in solving a problem, in deciding to buy products/services)
      • Level of consumption Impulse (how inclined to keep abreast with lifestyle trends, buy what’s latest & trendy, frequency of replacing things at home, frequency of shopping, enthusiasm towards shopping, whether to consume or save if income increases, whether to consume or save if income declines)
      • Buying Orientation (Price-quality orientation), Attributes give weight-age to when buying, Factors give weight-age to when deciding place of buying, whether responded to a marketing/advertising stimulus in the past
      Individuals Dataset Information Coverage
      • 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 :  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 owned, card types, card brands, card issuing banks,
      • Insurance : whether has a life insurance policy and how many
      • Holidaying : whether holiday in India, frequency of taking such holidays, favorite destinations, Whether holidays abroad, frequency of taking such holidays, favorite destinations, Holidaying classification
      • Alcohol : whether drink alcohol, with what frequency, type of alcohol consumed, brand consumed
      • Smoking : whether smoke cigarette, with what frequency, no. of sticks smoked daily, type of cigarette smoked, brand smoked
      • Personal Care Products : whether uses and brand used (Face cream, Deodorant, Body lotion/Moisturizer, Lipstick, Hair color, Face wash, Fairness cream, Shampoo, Conditioner, Hand wash, Hair oil, Hair cream/gel, Toilet Paper)
      • Processed Food Products : whether uses and brand used (Packaged vegetables, Noodles, Ketchup/Sauce, Cold drinks, Bottled/Mineral water, Packaged Fruit Juice, Chocolates, Packaged snacks like chips & namkeen, Cornflakes/Processed cereals, Chyawanprash, Cheese, Milk additive/ supplement, Eating Fast Food, Home delivery of food)
      • Lifestyle Products : whether uses and brand used (Jeans, Sports shoe, Readymade shirt, Readymade trouser, Watch, Travel by air, Stays in a 3 star or above hotel)
      Individuals Dataset Information Coverage
      • Some Products in rural households only (Soap, Toothpaste, Tooth powder, Detergent Powder, Detergent Cake, Packaged Biscuits, Refined Oil, Butter, Jam, Packaged Pickles, Battery/Cell, Travel by train, Stays in a hotel)
      • Health Profile
      • Whether suffers from any serious lifestyle disease and which one (Low Blood Pressure, High Blood Pressure, Diabetes, Thyroid Problem, Arthritis, Chronic Bronchitis/Asthma, Spondylitis, Obesity, Piles) , Preference for type treatment/medication for the serious lifestyle disease suffer from
      • Preference for type treatment/medication and brands used for some casual lifestyle diseases when they occur (Cough & Cold, Head ache, Muscular pain, Indigestion, Acidity, Acne/Pimples, Fever, Allergy, General weakness, Toothache)
      • Whether drink alcohol and with what frequency, Whether smoke cigarette and with what frequency
      • Media Usage
      • Whether use TV, Radio, Newspaper and Internet, with frequency of usage on weekdays and weekends
      • Type of TV content watched and the 3 most watched TV channels for each type (Entertainment/Serials/Reality Shows, News, Movies, Music, Business News & Info, Spiritual/Devotional, Sports, Cartoon)
      • Type of newspaper/magazine read and the 3 most read brands for each type (Regular Newspaper, Business Newspaper, Regular Magazine, Business Magazine)
      • 3 most listened to radio channels
      • Dominant media used classification
      • Integrated media usage scenario/combinations
      Individuals Dataset Information Coverage
      • Individual Level ‘Penetrations’
      • Generic Demographics (Graduates, English medium educated, Married, Employed)
      • Digital Lifestyle (Mobile users, Computer users, Internet users, Accessing internet on mobile, Accessing internet on laptop while traveling )
      • Automobile (Drive a vehicle – Car, Scooter, Motorcycle, Commercial vehicle, Bicycle)
      • Financial Instruments (Saving Bank Account, Credit Card)
      • Healthcare (Suffer from a serious lifestyle disease - Low Blood Pressure, High Blood Pressure, Diabetes, Thyroid Problem, Arthritis, Chronic Bronchitis/Asthma, Spondylitis, Obesity, Piles)
      Individuals Dataset Information Coverage
      • Address : 3, Kehar Singh Estate, 1st Floor, Westend
      • Marg, Lane 2, Said-ul-Ajaib, New Delhi – 110030
      • Telephone : +91-11-29535098, +91-11-32451093, +91-9811256502
      • Contact Person : Sanjay Tiwari
      • Email : [email_address]
      • Website : www.juxtconsult.com
      Contact Details
    • Thank You!