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GapMaps Premium Store Location Data | Asia/ MENA Demographics | 150m x 150m Grids| Current Estimates

GapMaps Store Location Data uses known population data combined with billions of mobile device location points to provide highly accurate demographics insights at 150m grid levels across Asia and MENA. Understand who lives in a catchment, where they work and their spending potential.

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area_id p2022 p1_2022 p2_2022 p3_2022 p4_2022 p5_2022 p6_2022 a04 a59 a1014 a1519 a2024 a2529 a3034 a3539 a4044 a4549 a5054 a5559 a6064 a6569 a7074 a7579 a8084 a8589 a90 chinese malays indians others w2022 uc2022 mc2022 nc2022 fb fr ap onf tr fbpc frpc appc onfpc trpc
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Description

Sourcing accurate and up-to-date store location data across Asia and MENA has historically been difficult for retail brands looking to expand their store networks in these regions. Either the demographic data does not exist or it isn't readily accessible or updated regularly. GapMaps Store Location Data uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent demographic insights across Asia and MENA at 150m x 150m grid levels in major cities and 1km grids outside of major cities. With this information, brands can get a detailed understanding of who lives in a catchment, where they work and their spending potential which allows you to: - Better understand your customers - Identify optimal locations to expand your retail footprint - Define sales territories for franchisees - Run targeted marketing campaigns. Premium store location data for Asia and MENA includes the latest estimates (updated annually) on: 1. Population (how many people live in your local catchment) 2. Demographics (who lives within your local catchment) 3. Worker population (how many people work within your local catchment) 4. Consuming Class and Premium Consuming Class (who can can afford to buy goods & services beyond their basic needs and /or shop at premium retailers) 5. Retail Spending (Food & Beverage, Grocery, Apparel, Other). How much are consumers spending on retail goods and services by category. Primary Use Cases for GapMaps Store Location Data: 1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery) - Customer Profiling: get a detailed understanding of the demographic profile of your customers, where they work and their spending potential - Analyse your trade areas at a granular 150m x 150m grid levels using all the key metrics - Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations. - Target Marketing: Develop effective marketing strategies to acquire more customers. - Integrate GapMaps demographic data with your existing GIS or BI platform to generate powerful visualizations. 2. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O) - Tenant Recruitment - Target Marketing - Market Potential / Gap Analysis 3. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens) - Customer Profiling - Target Marketing - Market Share Analysis

Country Coverage

(6 countries)
Asia (6)

Data Categories

  • Demographic Data
  • Store Location Data
  • GIS Data
  • Geodemographic Data

Pricing

Pricing available upon request

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