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.

1. Neighbourhood Skyline of India (NSL)
For precise micro targeting of consumers, distribution and retail
catchments

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. 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. 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. NSL Data Variables and Use Case

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. * 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. 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. 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. 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. 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. 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. Contact Us
Indicus Analytics Pvt Ltd.
Phone: +91-11-42512400 / 01 / 02
Email: products@indicus.net
Web: www.indicus.net

14. Thank You.