What is In-store Data? Best Datasets & Databases 2024
What is In-store Data?
In-store data is information collected and analyzed from various sources within a physical retail store. It includes data on customer behavior, sales transactions, inventory levels, and other relevant metrics. This data helps retailers gain insights into consumer preferences, optimize store operations, improve customer experience, and make data-driven decisions to enhance overall business performance.
Examples of in-store data include sales transactions, customer demographics, inventory levels, and foot traffic. In-store data is used for analyzing consumer behavior, improving store operations, optimizing inventory management, and enhancing the overall shopping experience. In this page, you’ll find the best data sources for in-store data.
Best In-store Data Databases & Datasets
Here is Datarade's curated selection of top In-store Data. These trusted databases and datasets offer high-quality, up-to-date information.
Xtract.io - Point-of-Interest (POI) Data | Locations data | Top Cannabis Store locations in US
Location Data | Global Store Location Data on 51M+ POI | SafeGraph Places
Grepsr | Comprehensive Dataset of Fast-food Chains' Store (Starbucks, Mcdonalds, Subway, & more) Location
Location Data | Store / Business location Data | Global Coverage | 400M+ Contacts | (Verified E-mail, Direct Dails) | Decision Makers 20+ Attributes |
Location & Territory Data |Geospatial, Sentiment (Reviews), Footfall, Business Listings & Store Location | 200 Million+ POI Data Mapped
InfoTrie eCommerce Data - 100M+ Product, SKU & Store Data, 5M+ Ecommerce Portals Globally
Buy eCommerce Leads | eCommerce Leads Database 2024 | eCommerce Lead List with Store Owner Contact Details | 100% Real-Time Verified Data
Plugindata | Retail & Store Business Listings Data: 38M+ Listings Across 150+ Countries, B2B Leads Data, Targeted Marketing
Mobile App Data, TV App Data, App Data, Google & Apple App store Data - Scrape all Publicly Available Mobile & TV related Data with 100% Accuracy
Apple Appstore & Google Play Store data
Popular Use Cases
In-store Data plays a pivotal role in various business applications, offering valuable insights and opportunities across industries.
Frequently Asked Questions
Where can I buy In-store Data?
Data providers and vendors listed on Datarade sell In-store Data products and samples. Popular In-store Data products and datasets available on our platform are Xtract.io - Point-of-Interest (POI) Data | Locations data | Top Cannabis Store locations in US by Xtract, Location Data | Global Store Location Data on 51M+ POI | SafeGraph Places by SafeGraph, and Grepsr | Comprehensive Dataset of Fast-food Chains’ Store (Starbucks, Mcdonalds, Subway, & more) Location by Grepsr.
How can I get In-store Data?
You can get In-store Data via a range of delivery methods - the right one for you depends on your use case. For example, historical In-store Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time In-store Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to In-store Data?
In-store Data is similar to Retail Store Data, Retail Sales Data, and Kirana Data. These data categories are commonly used for Store Visit Attribution.
What are the most common use cases for In-store Data?
The top use cases for In-store Data are Store Visit Attribution.