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Neighbourhood Skyline of India


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Neighbourhood Skyline of India - Identify the best location for your retail investments across neighborhoods in India’s top 57 cities by looking at neighbourhood level demographic and consumer profiling. It divides major cities in India into micro-markets that are as small as few sq km, allowing you to analyze heterogeneous consumer clusters based on their population density, SEC mix, income, saving and spending pattern.

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Neighbourhood Skyline of India

  1. 1. Neighbourhood Skyline of India (NSL) For precise micro targeting of consumers, distribution and retail catchments
  2. 2. Neighbourhood Skyline helps you analyze micro-markets in details Identify the right retail locations and catchment areas. Find the consumer segments in the catchment of a given location. Map your product mix according to Mumbai your target groups.
  3. 3. Empowers your micro-market analysis and retail planning Study variance in city micro-markets Estimate demand for your product Assess household purchasing power Map consumer spending pattern Plan marketing activities for TG Map product-mix with consumer profiles Analyze micro-markets across cities Catchment analysis for retail stores Study local businesses in catchment areas Analyze size and share of wallet Plan business growth and expansion Tone up your marketing mix
  4. 4. Provides key information on markets and consumers across all neighbourhoods in the top Indian cities Population (age & income) Available for all micro-markets across all the top cities in India Household Asset Ownership Household income, savings & spends Share-of-wallet analysis Location details for spatial analysis
  5. 5. NSL Data Variables and Use Case
  6. 6. NSL offers a rich understanding of the consumers and retail catchment areas across the top cities Available for all Metros and major cities Details Classificatio n Business use case By Annual income Households and SEC • Target and plan better Spends by categories • Estimate demand for new products • Find market universe for business planning Consumer market size Age and income distribution • Plan product mix by age and income profiles Population Details across income categories • Study saving & spend habits to estimate willingness to spend on your category Household spends & savings Details of various asset classes • Use surrogates to plan your marketing activities Asset ownership Local business activity details • Map on-ground business activities like banks, ATMs, hotels, restaurants, offices, other POIs Location profiling
  7. 7. * Number of neighborhoods covered under each city are mentioned in brackets Covers all Metros, Mini-metros and Tier-1 cities, including satellite towns Kolkata (141), Haora (46), Bidhan Nagar (20), Others 29 Towns North Delhi Metro Region (486)* Delhi (279), Noida (76), Ghaziabad (75), Faridabad (30), Gurgaon (26) Agra (84) Amritsar (60) Dehradun (54) Gwalior (53) Kanpur (104) Lucknow (104) Ludhiana (69) Meerut (73) Jaipur (69) Jodhpur (59) Shimla (18) Varanasi (85) West Mumbai Metro Region (392) Mumbai (97), Thane (107), Kalyan- Dombivali (99), Navi Mumbai (83), Other 6 towns Aurangabad (92) Rajkot (18) Nagpur (127) Nashik (101) Solapur (90) Surat (93) Vadodara (8) Central Bhopal (63) Jabalpur (63) Indore (61) Raipur (62) South Bangalore Metro Region (191) Chennai (146), Other 5 towns Coimbatore Metro Region (66) Kochi Metro Region (63) Madurai (65) Mysore (59) Vijayawada (73) Vishakhapatnam (T6h4ir)uvananthapuram (80) Chandigarh Tri-city (70) Ahmadabad Metro Region (82) Pune Metro Region (237) Chennai Metro Region (151) Chandigarh (21), Panchkula (25), Mohali (24) Ahmadabad (50), Gandhinagar (31), Kalol Pune (139), Pimpri Chinchwad (98) Hyderabad Metro Region (144) East Kolkata Metro Region (392) Bhubaneswar (52) Guwahati (52) Patna (66) Ranchi (45) Siliguri (41)
  8. 8. Case 1 - A leading retail bank planned its branch product mix using NSL Business Problem One of India's largest private sector banks was looking to increase its customer base across metros. They had their branch level CASA data, but wanted to know the universe of potential customers, so that they could decide the best product offerings across their branches. How Indicus Helped The client used the Neighbourhood Skyline for all the metro cities to identify the income pattern and the affluence levels at various micro markets across cities . This was a reference for them to plot their existing branch CASA data and understand their penetration and market share. They were then able to prioritize areas with low market penetration vis-avis the potential and suitably plan their product mix across their existing branches.
  9. 9. Case 2 - A leading apparel retail chain did catchment analysis for their stores using NSL Business Problem A leading clothing and footwear retail chain in India, with large retail footprint across metros, wanted a reliable means of estimating how each store performed relative to its potential. In addition they also wanted to identify gaps in the cities where they could setup new stores. How Indicus Helped Neighbourhood Skyline gave the client a means for scientifically assessing the market potential by identifying the number of households in their TG (SEC * Income) within the specific catchment areas of their stores and get details on their spending across categories. They merged this with their internal sales data to come up with an assessment of performance of stores vis-a-vis the potential and fine tune the local marketing efforts. They were also able to identify additional micro-markets with high concentration of their TG and assess new locations to setup stores.
  10. 10. A core component of Indicus’ many ready-to-use solutions Market Skyline – District Series Superior understanding of the scale and scope of your target segment Metro, Town and Rural Skyline Improved market selection & prioritization Neighborhood Skyline Precise targeting of your retail catchments, markets and distribution District GDP & Employment Landscape For taking decisions based on fundamental economic conditions
  11. 11. The Well Known Indicus Advantage • Analytics solutions that help you target better • The most respected economic research and analytics firms in India • Trusted by 300+ leading national and international companies and institutes
  12. 12. Over 300 leading firms have trusted Indicus data and solutions for their business needs BFSI Media Real Estate Auto Others Services Consulting Products Retail Government Institutions Healthcare
  13. 13. Contact Us Indicus Analytics Pvt Ltd. Phone: +91-11-42512400 / 01 / 02 Email: Web:
  14. 14. Thank You.