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Best Retail Datasets for Retail Market Research

Retail datasets refer to a collection of structured and organized data that provides insights into various aspects of the retail industry. These datasets typically include information such as sales data, customer demographics, product details, inventory levels, pricing, and market trends. By analyzing retail datasets, businesses can gain valuable insights into consumer behavior, optimize pricing strategies, improve inventory management, and make data-driven decisions to enhance their overall performance in the retail sector. Retail datasets are essential for retailers, e-commerce platforms, market researchers, and data scientists seeking to understand and leverage the dynamics of the retail industry.

771 results
Logo of Success.ai

Retail Data | Retail Sector in Asia | Verified Business Profiles & Insights | Best Price Guaranteed

by Success.ai
5.0
Country Name
Company Name
Location Name
Contact First Name
Company Industry
and 13 more attributes
Available in
India
China
Japan
South Korea
Indonesia
and 46 more countries
Logo of Xtract

Retail Data | Malls & Shopping Centers in US | Tourist Attraction Data

by Xtract
5.0
Latitude
Longitude
Address
City Name
Country Code Alpha-2
and 8 more attributes
Available in
USA
Logo of dataplor

Global Leading Multinational Retailer Data

by dataplor
5.0
Latitude
Longitude
Address
Country Name
City Name
and 19 more attributes
Available in
USA
UK
Germany
France
Italy
and 244 more countries
Logo of MealMe

Global Retail Data | Retail Store Data | In-Store Data | Retail POI and SKU Level Product Data from 1M+ Locations with Prices

by MealMe
Latitude
Longitude
City Name
Country Code Alpha-2
ZIP Code
and 11 more attributes
Available in
USA
UK
Germany
France
Italy
and 245 more countries
Logo of Xverum

Store Location Data | 230M+ Global POIs & Retail Locations | 5000+ Categories with Restaurant, Retail & Business Coverage

by Xverum
5.0
Available in
USA
UK
Germany
France
Italy
and 245 more countries
Logo of Sky Packets

Retail Data | Aggregated & Anonymized Sentiment Data | LATAM & Mexico | 2000+ Convenience Stores

by Sky Packets
Available in
Mexico
Colombia
Peru
Ecuador
Logo of Grepsr

Grepsr | Real Estate Products, Property Listing, Sold Properties, Rankings, Agent Datasets | Middle East Coverage with Custom and On-demand Datasets

by Grepsr
5.0
Latitude
Phone Number
Available in
Saudi Arabia
Iran
UAE
Iraq
Qatar
and 5 more countries
Logo of InfobelPRO

Store location data | 164M Commercial Places - Stores | Global Retail Store Location Data

by InfobelPRO
5.0
Available in
USA
UK
Germany
France
Italy
and 245 more countries
Logo of SafeGraph

CPG Data | Retail Store Location Data | 52M+ POI | SafeGraph Places

by SafeGraph
5.0
Latitude
Longitude
Address
City Name
Postal Code
and 6 more attributes
Available in
USA
UK
Germany
France
Italy
and 177 more countries
Logo of Consumer Edge

Vision Competitor Intelligence & Analysis | Retail Data & Ecommerce Product Data | US Commerce Transaction Data | 100M+ Cards, 12K+ Merchants

by Consumer Edge
Brand Name
Stock Ticker
Currency Code
Available in
USA

What are retail datasets?

Retail datasets refer to a collection of structured and organized data that provides insights into various aspects of the retail industry. These datasets typically include information such as sales data, customer demographics, product details, inventory levels, pricing, and market trends.

How can businesses benefit from analyzing retail datasets?

By analyzing retail datasets, businesses can gain valuable insights into consumer behavior, optimize pricing strategies, improve inventory management, and make data-driven decisions to enhance their overall performance in the retail sector.

Who can benefit from retail datasets?

Retail datasets are essential for retailers, e-commerce platforms, market researchers, and data scientists seeking to understand and leverage the dynamics of the retail industry.

What types of information are included in retail datasets?

Retail datasets typically include information such as sales data, customer demographics, product details, inventory levels, pricing, and market trends.

How can retail datasets help with pricing strategies?

Retail datasets can provide insights into pricing trends, competitor pricing strategies, and customer preferences, allowing businesses to optimize their pricing strategies and maximize profitability.

How can retail datasets improve inventory management?

By analyzing retail datasets, businesses can gain insights into inventory levels, demand patterns, and product performance, enabling them to optimize inventory management, reduce stockouts, and minimize holding costs.