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Best In Store Datasets for Enhanced Retail Analytics

In-store datasets refer to a category of data that provides insights into the physical retail environment. These datasets typically include information about store locations, foot traffic, store layouts, product placements, and customer behavior within brick-and-mortar stores. In-store datasets are valuable for retailers, marketers, and analysts seeking to optimize store operations, improve customer experiences, and make data-driven decisions to drive sales and revenue. By leveraging in-store datasets, businesses can gain a deeper understanding of consumer behavior, identify trends, and enhance their overall retail strategies.

506 results
Logo of Grepsr

Grepsr | Nordstrom Store Address, Contact Information, Rating |Global Coverage with Custom and On-demand Datasets

by Grepsr
5.0
City Name
POI Opening Hours
Company Name
ZIP Code
State Abbreviation
and 4 more attributes
Available in
USA
UK
Germany
France
Italy
and 244 more countries
Logo of Xtract

Point-of-Interest (POI) Data | Shopping & Retail Store Locations in US and Canada | Retail Store Data | Comprehensive Data Coverage

by Xtract
5.0
Address
Latitude
Postal Code
Longitude
City Name
and 13 more attributes
Available in
USA
Canada
Logo of Success.ai

Retail Store Data | Retail & E-commerce Sector in Asia | Verified Business Profiles & eCommerce Professionals | Best Price Guaranteed

by Success.ai
5.0
Location Name
Company Name
Company Industry
Company Website
Company Employee Count
and 5 more attributes
Available in
India
China
Japan
South Korea
Indonesia
and 46 more countries
Logo of Forager.ai

eCommerce Company Data | 320K Stores | API & Bi-Weekly Updates | Technographic Insights

by Forager.ai
4.9
City Name
Country Name
State Name
Company Name
Company Industry
and 3 more attributes
Available in
USA
UK
Germany
France
Italy
and 245 more countries
Logo of SafeGraph

Retail Store Data: Accurate Places Data | Global | Location Data on 52M+ Places

by SafeGraph
5.0
Address
Latitude
Postal Code
Longitude
City Name
and 6 more attributes
Available in
USA
UK
Canada
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
POI Name
POI Opening Hours
and 11 more attributes
Available in
USA
UK
Germany
France
Italy
and 245 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 ScrapeLabs

WooCommerce stores list - 1.6M+ stores worldwide | scrapelabs.io

by ScrapeLabs
5.0
Country Name
Email Address
Available in
USA
UK
Germany
France
Italy
and 177 more countries
Logo of dataplor

Global Convenience, Restaurant, Retail, & Grocery Store Data | 70M+ Points of Interest (POI) and Visitation Metrics

by dataplor
5.0
Address
Neighborhood Name
Latitude
Postal Code
Longitude
and 20 more attributes
Available in
USA
UK
Germany
France
Italy
and 244 more countries
Logo of OpenWeb Ninja

Google Play Store Apps / Games Data, Android Apps Data, Consumer Review Data, Top Charts | Real-Time API

by OpenWeb Ninja
5.0
Email Address
Website
UID
Product Category
Currency Code
and 5 more attributes
Available in
USA
UK
Germany
France
Italy
and 245 more countries

What are in-store datasets?

In-store datasets refer to a category of data that provides insights into the physical retail environment. These datasets typically include information about store locations, foot traffic, store layouts, product placements, and customer behavior within brick-and-mortar stores.

Who can benefit from in-store datasets?

In-store datasets are valuable for retailers, marketers, and analysts seeking to optimize store operations, improve customer experiences, and make data-driven decisions to drive sales and revenue.

How can businesses leverage in-store datasets?

By leveraging in-store datasets, businesses can gain a deeper understanding of consumer behavior, identify trends, and enhance their overall retail strategies.

What insights can be derived from in-store datasets?

In-store datasets can provide insights into foot traffic patterns, popular product placements, customer dwell times, conversion rates, and the effectiveness of marketing campaigns within physical stores.

How are in-store datasets collected?

In-store datasets can be collected through various methods such as video surveillance, Wi-Fi tracking, sensors, point-of-sale systems, and customer surveys.

Are in-store datasets privacy compliant?

Yes, businesses must ensure that the collection and use of in-store datasets comply with privacy regulations and obtain necessary consent from customers.