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Segmentation of Urban Indian Households - Targeting the relevant consumer ...

Segmentation of Urban Indian Households - Targeting the relevant consumer
This product has been designed to help marketers understand the essence of 33 Consumer Segments, which together represent the entire urban spectrum of India. It highlights the key features which make each segment distinctive. The purpose of this work is to help marketers devise advertising and communications strategies and fine tune their sales strategies. The two key dimensions are lifestyle stages of chief wage earners of households and their skill levels. The first defines their needs and the second defines their earning abilities.

The Grouping Mechanism
Reflects differences in Lifestyles Preferences Needs Characteristics Social Household Individual Psychographic
Workable solution requires Not too many segments, Not too few either. A systematic method - Not merely conceptual, Strong Empirical underpinnings, based on Propensities to Spend, Save, Earn
Similar to methods used internationally But India focused. Two tier approach - First tier: Conceptual, Second Tier: Empirical. Simple to visualize and use. Accounts for consumer heterogeneity

Chief Wage Earner’s Profile
Age - Proportions in various age categories (19-24 years, 25-34 years, 35-44 years, 45-54 years, 55-64 years, > 64 years)
Marital Status - Proportions - Never Married, Currently Married, Widowed, Divorced
Education - Proportions in 10 classifications ranging from illiterate to post graduates & above
Proportions working in 6 industry types - manufacturing, wholesale & retail trade, etc.
Type of Enterprise they work for - Proportions in Proprietorship, Partnership, Govt/ PSU, Public/ Private Ltd, Not for Profit, etc.
Occupation Type - Proportions self employed, employees, others.

Household profiles
Gender distribution for 4 age categories - 45 years
Proportions of various household sizes - 1, 2, 3, 4, 5, and > 5 member households
Composition - Minors (proportions having none, 1-2, and more than 2), Senior citizens (proportions having none, 1-2, and more than 2)
Adult members of the households - Proportions in 10 classifications ranging from illiterate to post graduates & above
Members employed - Proportions of one, two and more than two members of the household employed

Chief Wage Earner’s Spouse
Education - Proportions in 10 classifications ranging from illiterate to post graduates & above
Occupation - Proportions in 5 classifications home makers, students, employed, seeking employment, others


Social group representation in the segment - SC, ST, OBC, General
Income distribution
Spending Pattern across 5 major categories, and further expansion with each of the 5 major categories (3 to 5 in each)
Residences - Rented residences v/s owned residences, Apartments v/s independent houses
Asset ownership - 4 wheelers, 2 wheelers, TV, Refrigerator, Air Conditioner

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Indicus Consumer Spectrum Indicus Consumer Spectrum Presentation Transcript

  • Indian Consumer Spectrum Indicus Analytics
  • Segmentation of Urban Indian Households Targeting the relevant consumer
  • Purpose This product has been designed to help marketers understand the essence of 33 Consumer Segments, which together represent the entire urban spectrum of India. It highlights the key features which make each segment distinctive. The purpose of this work is to help marketers devise advertising and communications strategies and fine tune their sales strategies. The two key dimensions are lifestyle stages of chief wage earners of households and their skill levels. The first defines their needs and the second defines their earning abilities.
  • The Grouping Mechanism
    • Reflects differences in
      • Lifestyles
      • Preferences
      • Needs
      • Characteristics
        • Social
        • Household
        • Individual
        • Psychographics
    • Workable solution requires
      • Not too many segments
      • Not too few either
      • A systematic method
        • Not merely conceptual
        • Strong Empirical underpinnings
      • Propensities
        • Spend
        • Save
        • Earn
  • Indicus Urban Consumer Groups
    • Similar to methods used internationally
      • But India focused
    • Two tier approach
      • First tier: Conceptual
      • Second Tier: Empirical
    • Simple to visualize and use
    • Accounts for consumer heterogeneity
  • Methodology
  • Underlying Data
    • Characteristics of raw data
      • Widely accepted
      • Well sampled and transparent methods
    • Sources
      • Relevant data sets of National Sample Survey
      • Indicus Premium Databases
    • Depth
      • 120,000 households
      • Sampled during and after mid 2000s
    • Coverage
      • For 70 million urban Indian households
      • For 350 million urban Indians
  • First Tier Segmentation
    • Conceptual: Consumption pattern depends
      • On Ability to Spend (Socio Economic Status)
        • Occupation X Education X Hierarchical position
      • Requirements and Needs (Life Stage)
        • Marital Status
        • Family Type
        • Dependent’s Life Stage
    • About 100 groups thus derived
  • The Segment Grid
  • Second Tier Segmentation
    • 100 groups is too many
    • Many have similar incomes & propensities
      • Share spent on food, entertainment, education, medical, durable goods etc.
    • 33 segments derived from the first 100 using
      • Statistical analysis
      • Neural networks
  • The Derived Segments
  • Parameters for each Segment
    • Demographic
      • Total Population
      • Household population
      • Household Size
      • Age of all the individual
      • Gender Ratio
    • Socio Economic
      • Education
      • Occupation
      • Industry
    • Assets
      • House Ownership
      • Four Wheeler Ownership
      • Financial Assets
      • Household Assets
    • Expenditure
      • Basic Food
      • High value food
      • Medical
      • Education
      • Durable goods
      • Clothing and Footwear
  • In the following sections we provide snapshots of a typical household in each of the 30 Segments. For a number of key variables we have selected the most common values. The purpose is to provide a flavour of each of the segments.
  • Segment A1 All Segments
          • A1
          • A1
    Segment A1 All Segments
          • A1
    Segment A1 All Segments
          • A2
    Segment A2 All Segments
          • A2
    Segment A2 All Segments
          • A2
    Segment A2 All Segments
          • A3
    Segment A3 All Segments
          • A3
    Segment A3 All Segments
          • A3
    Segment A3 All Segments
          • A4
    Segment A4 All Segments
          • A4
    Segment A4 All Segments
          • A4
    Segment A4 All Segments
          • A5
    Segment A5 All Segments
          • A5
    Segment A5 All Segments
          • A5
    Segment A5 All Segments
          • B1
    Segment B1 All Segments
          • B1
    Segment B1 All Segments
          • B1
    Segment B1 All Segments
          • B2
    Segment B2 All Segments
          • B2
    Segment B2 All Segments
          • B2
    Segment B2 All Segments
          • B3
    Segment B3 All Segments
          • B3
    Segment B3 All Segments
          • B3
    Segment B3 All Segments
          • C1
    Segment C1 All Segments
  • Segment C1
          • C1
    All Segments
  • Segment C1
          • C1
    All Segments
          • C2
    Segment C2 All Segments
  • Segment C2
          • C2
    All Segments
  • Segment C2
          • C2
    All Segments
          • C3
    Segment C3 All Segments
  • Segment C3
          • C3
    All Segments
  • Segment C3
          • C3
    All Segments
          • C4
    Segment C4 All Segments
  • Segment C4
          • C4
    All Segments
  • Segment C4
          • C4
    All Segments
          • C5
    Segment C5 All Segments
  • Segment C5
          • C5
    All Segments
  • Segment C5
          • C5
    All Segments
          • C6
    Segment C6 All Segments
  • Segment C6
          • C6
    All Segments
  • Segment C6
          • C6
    All Segments
          • D1
    Segment D1 All Segments
  • Segment D1
          • D1
    All Segments
  • Segment D1
          • D1
    All Segments
          • D2
    Segment D2 All Segments
  • Segment D2
          • D2
    All Segments
  • Segment D2
          • D2
    All Segments
          • E1
    Segment E1 All Segments
  • Segment E1
          • E1
    All Segments
  • Segment E1
          • E1
    All Segments
          • E2
    Segment E2 All Segments
  • Segment E2
          • E2
    All Segments
  • Segment E2
          • E2
    All Segments
          • E3
    Segment E3 All Segments
  • Segment E3
          • E3
    All Segments
  • Segment E3
          • E3
    All Segments
          • E4
    Segment E4 All Segments
  • Segment E4
          • E4
    All Segments
  • Segment E4
          • E4
    All Segments
          • E5
    Segment E5 All Segments
  • Segment E5
          • E5
    All Segments
  • Segment E5
          • E5
    All Segments
          • E6
    Segment E6 All Segments
  • Segment E6
          • E6
    All Segments
  • Segment E6
          • E6
    All Segments
          • E7
    Segment E7 All Segments
  • Segment E7
          • E7
    All Segments
  • Segment E7
          • E7
    All Segments
          • E8
    Segment E8 All Segments
  • Segment E8
          • E8
    All Segments
  • Segment E8
          • E8
    All Segments
          • F1
    Segment F1 All Segments
  • Segment F1
          • F1
    All Segments
  • Segment F1
          • F1
    All Segments
          • F2
    Segment F2 All Segments
  • Segment F2
          • F2
    All Segments
  • Segment F2
          • F2
    All Segments
          • F3
    Segment F3 All Segments
  • Segment F3
          • F3
    All Segments
  • Segment F3
          • F3
    All Segments
          • G1
    Segment G1 All Segments
          • G1
    Segment G1 All Segments
          • G1
    Segment G1 All Segments
          • G2
    Segment G2 All Segments
          • G2
    Segment G2 All Segments
          • G2
    Segment G2 All Segments
          • G3
    Segment G3 All Segments
          • G3
    Segment G3 All Segments
          • G3
    Segment G3 All Segments
          • G4
    Segment G4 All Segments
          • G4
    Segment G4 All Segments
          • G4
    Segment G4 All Segments
          • G5
    Segment G5 All Segments
          • G5
    Segment G5 All Segments
          • G5
    Segment G5 All Segments
          • H1
    Segment H1 All Segments
  • Segment H1
          • H1
    All Segments
  • Segment H1
          • H1
    All Segments
    • The entire consumer segment is available on order, for all the 33 segments.
    • Segment details consist of:
    • 1. Chief Wage Earner’s Profile
    • Age - Proportions in various age categories (19-24 years, 25-34 years, 35-44 years, 45-54 years, 55-64 years, > 64 years)
    • Marital Status - Proportions - Never Married, Currently Married, Wodowed, Divorced
    • Education - Proportions in 10 classifications ranging from illiterate to post graduates & above
    • Proportions working in 6 industry types - manufacturing, wholesale & retail trade, etc.
    • Type of Enterprise they work for - Proportions in Proprietorship, Partnership, Govt/ PSU, Public/ Private Ltd, Not for Profit, etc.
    • Occupation Type - Proportions self employed, employees, others.
    • …… continued
    • 2. Household profiles
    • Gender distribution for 4 age categories - <18 years, 18-24 years, 25-45 years, > 45 years
    • Proportions of various household sizes - 1, 2, 3, 4, 5, and > 5 member households
    • Composition - Minors (proportions having none, 1-2, and more than 2), Senior citizens (proportions having none, 1-2, and more than 2)
    • Adult members of the households - Proportions in 10 classifications ranging from illiterate to post graduates & above
    • Members employed - Proportions of one, two and more than two members of the household employed
    • …… continued
    • 3. Chief Wage Earner’s Spouse
    • Education - Proportions in 10 classifications ranging from illiterate to post graduates & above
    • Occupation - Proportions in 5 classifications home makers, students, employed, seeking employment, others
    • 4. Other Characteristics
    • Social group representation in the segment - SC, ST, OBC, General
    • Income distribution
    • Spending Pattern across 5 major categories, and further expansion with each of the 5 major categories (3 to 5 in each)
    • Residences - Rented residences v/s owned residences, Apartments v/s independent houses
    • Asset ownership - 4 wheelers, 2 wheelers, TV, Refrigerator, Air Conditioner
  • Please send your inquiries to: Indicus Analytics Pvt. Ltd. 2nd Floor, Nehru House, 4 Bahadur Shah Zafar Marg New Delhi- 110002. Phone: 91-11-42512400/01 E-mail: [email_address] www.indicus.net Other Indicus Products Market Skyline of India 2008-09 City Skyline of India 2008-09 City Skyline of India – neighbourhood series – 2008-09 Housing Skyline of India – 2008-09