Retail Data: Best Retail Datasets & Databases

What is Retail Data?

Retail data is information that the owner of a retail business can collect to improve their business. This data gives retailers insight into their customer base, sales trends, and inventory across the retail industry. Datarade helps you find retail data APIs and datasets. Learn more

Recommended Retail Data Products

50+ Results
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Company Information in Excel | 38M Retail companies worldwide | Up-to-Date & GDPR Proof

With over 38 million businesses, all held in-house, BoldData has the largest supply of retail data. ... BoldData provides a high quality customized list with all 38,554,063 retail companies worldwide.
Available for 249 countries
38.6M Companies
4 years of historical data
99% Registered companies
Starts at
€425 / purchase
Free sample preview
Free sample available
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Olvin | Store Visit Data | Ground Truth Validated Retail Dataset

by Olvin
Process and analyze store visits data on over 700k retail locations across the US. ... Olvin’s store visits data helps you analyze the performance of over one million retail stores across
Available for 1 countries
700K Retail Store Locations
4 years of historical data
77% 3-month daily correlation
Starts at
$0.10 / record
Free sample preview
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Online Retail Database | eCommerce Stores List 2022 | 5 Million eCommerce Stores Worldwide | 15+ eCommerce Platforms | Real-Time Verified Data

eCommerce Store List 2022. 5 Million Online Retail Business Worldwide. 15+ eCommerce Platforms • 5M eCommerce ... Data We have millions of eCommerce data ready to go no matter where you are.
Available for 240 countries
5M Records
10 years of historical data
95% Accuracy Guaranteed
Starts at
$300 /
Free sample preview
Free sample available
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Consumer Data | Aggregated Spend Patterns | Retail Transactions

SafeGraph Spend is an aggregated transaction dataset of consumer data containing spending behavior at ... This dataset includes transaction consumer data at individual POIs in the US based on aggregated debit
Available for 1 countries
400K POI
2 years of historical data
100% fill rates
Starts at
$250 / purchase
Free sample available
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DrivenIQ GEOIQ - POS Tracked Consumer Via MAIDS

captured inside EVERY POLYGON and resolved against the DrivenIQ Identity graph to output an addressable data
Available for 1 countries
240M households
Starts at
$1,500 / purchase
Free sample preview
Free sample available
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Bright Data | eCommerce Data - Global Coverage - Pricing Data, Seller Ratings Data, Customer Reviews Data

Bright Data’s retail data collector is enabling you to collect crucial data points for your business ... Bright Data’s retail data collector is uniquely crafted to enable your digital commerce business gain
Available for 245 countries
97% Success rate in real-time
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample preview

Xtract.io - Point-of-interest (POI Data) | All Shopping and Retail Stores in US and Canada

by Xtract
This core point-of-interest dataset consists of 1M location information of retail stores in the US and ... , across 11 diverse industries such as retail, restaurants, healthcare, automotive, public utility points
Available for 2 countries
1.05M Locations
12 months of historical data
96% Accuracy
Starts at
$2,450 / month
Free sample preview
Free sample available
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Echo Analytics | Building Footprints data | 8.5M+ locations in the U.S

processes Clients using this dataset are commonly from: Commercial Real Estate & PropTech Retail ... Building Footprint data is based on ‘polygon geofences’ that define the boundaries of buildings.
Available for 1 countries
Available Pricing:
One-off purchase
Monthly License
Yearly License
Free sample available
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eCommerce Data Scraping & Nutritional Value Data Scraping | Scrape eCommerce Websites

Driven Analysis, Driven by Retail pricing Intelligence With our pricing solutions you get Real-Time ... Data AI Solutions offers Pricing & Competitive Intelligence as a Service for retailers globally , allowing
Available for 247 countries
1M Records
7 days of historical data
98% Match Rate
Starts at
$5$4 / per request
Free sample preview
20% Datarade discount
Free sample available
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Tailor-made Global Data/Consulting Services by PREDIK Data-Driven

Consumer analytics and insights Real Estate analytics Market Intelligence Revenues Forecasting Retail ... We specialize in Predictive and Algorithmic Modeling, Location Analytics, Big Data Analytics, Data Science
Available for 164 countries
10M devices
3 years of historical data
Available Pricing:
One-off purchase
Monthly License
Yearly License

More Retail Data Products

Discover related retail data products.
18K restaurants
United Kingdom covered
Extensive dataset of restaurants in London, including contacts, social profiles and lots of other information.
1M Retail Store Locations
USA covered
4 years of historical data
Process and analyze consumer profile data on over 1 million retail locations across the US. Each row contains a monthly profile of a store's visitors includi...
1.05M Locations
96% Accuracy
2 countries covered
This core point-of-interest dataset consists of 1M location information of retail stores in the US and Canada. The POI database includes electronic stores, s...
700K Retail Store Locations
91% 3-month daily correlation
USA covered
Process and analyze aggregated store visit data on 6500 retail brands. Each row contains a week's worth of data broken down into weekly and daily visits values.
97% Success rate in real-time
245 countries covered
Our Amazon best seller products dataset to identify top-selling products and sellers, and track them across various categories and subcategories. For: compe...
38.6M Companies
99% Registered companies
249 countries covered
BoldData provides a high quality customized list with all 38,554,063 retail companies worldwide. Or buy our worldwide database with 300 million companies in ...
4 Million Leads
95% Accuracy Guaranteed
112 countries covered
Buy eCommerce Leads from Our Millions of eCommerce Leads Database Worldwide at Reasonable Price.
100K Documents
100% Quality assured
249 countries covered
We collect invoices, receipts, and payslips from around the world. Customers can also order annotations for OCR applications or classification samples. Ext...
1K Contacts/Day
100% Qualified
249 countries covered
Our Worldwide Shopify/Retail Database consists of the most lucrative business database. If you are looking to connect with Shopify/Ecom users from any locati...
3 countries covered
CRM data onboarding to premium publishers like Facebook and leading digital platforms.
85% Model Accuracy
48 countries covered
5 months of historical data
Mathematical model for the identification of best areas for the location of points of sale. This is based on measuring the influence of a set of variables at...
1.25M panel size
95% Match Rate
USA covered
This panel of millions of US Consumers is unique to 90 West Data. We provide detailed insights into consumer spending at retail establishments across the US.
260K tariffs
United Kingdom covered
2 years of historical data
Access comprehensive, real-time data on GB retail energy tariffs with our user-friendly platform. Stay competitive with insights on pricing, trends, and mark...
750K Accounts
United Kingdom covered
4 years of historical data
Analyse aggregated or row-level spend, consumer loyalty, to granular demography and merchant brand level, for 250+ listed entities and 1.4k+ merchants in the...
97% Success rate in real-time
245 countries covered
Our Amazon best seller products dataset to identify top-selling products and sellers, and track them across various categories and subcategories. For: compe...
240M households
USA covered
Geozoning refers to the technology that allows DrivenIQ to capture shopper's Mobile Device ID's and Persistent ID's during In-person visits or after online v...
8M records
100% match rate
Netherlands covered
The Whize Shopping Segments are specially developed for the (non-food) retail market. This segmentation classifies every household in the Netherlands in term...
China covered
6 years of historical data
SpaceKnow monitors over 10,000 locations in China in near-real time, it's not by chance it's our most popular dataset package. What's available? Aggre...
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Snapbizz
Based in India
Snapbizz
Retail Innovation, Mobile Based disruptive business model, Cloud connected, Consumer goods industry, Android Based technology, Digital Visibility, Real time ...
90K+
Basket captured per day
0.7M
Consumer info
150B
Transaction value per month
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Olvin
Based in United Kingdom
Olvin
Olvin’s data help you understand the store performance and consumer profiles of over a million retail locations across the US. From predictive insights on an...
91%
Data Accuracy
1m+
US Retail Locations
6000+
Retail Brands
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Chain of Demand
Based in Hong Kong
Chain of Demand
Chain of Demand provides retail industry data spanning across the US, China and the European market. With three years of data available, we use our proprieta...
100M+
data points
168x
faster to analyze data
1%
variance in revenue prediction
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Datahut
Based in USA
Datahut
Datahut helps businesses get structured data feeds from any website through our cloud-based data as a service platform. Our fully-managed Web Scraping soluti...
Clean data
Data quality
7-10X ROI
ROI
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SafeGraph
Based in USA
SafeGraph
SafeGraph is a data company that builds datasets on the physical world for teams at ESRI, Microsoft, Sysco, and Goldman Sachs. Our high-precision Places data...
7.1M
POI in US and CAN
5,500+
Brands in US and CAN
>90%
Fill Rates
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aKQired
Based in India
aKQired
We aspire to provide the best B2B Services to our clients backed by research oriented intent data with our full funnel marketing capabilities. Our aim is to ...
ISMS
ISO/IEC 27001:2013
100%
Verified Emails and Phone
Realtime
Database/Worldwide Outreach

The Ultimate Guide to Retail Data 2023

Learn about retail data analytics, sources, and collection.

What is Retail Data?

In the day-to-day running of a retail business, owners of such businesses are faced with the need to make decisions to drive growth through enhanced sales. In the contemporary business environment, driving growth is not effective if retail data analytics is not used as a fuel to propel growth. Consequently, owners of retail stores can take advantage of retail data analytics to paint a clear picture of their business’ health in terms of sales while making improvements and reinforcement for customer satisfaction.

How is Retail Data collected?

Technological advancement has brought along a new wave of possibilities including a collection of retail information. Modern retail stores go the extra mile to develop customized apps for mobile phones and PCs. While these apps are important in enhancing customer experience, retailers also use them to monitor customer shopping habits and interests. This method of in-store customer data collection helps retailers to tailor services to each customer. Retailers can also collect retail data by the use of guest satisfaction surveys, as a result of helping the business point out the key trends in buying behavior and formulating initiatives to drive more sales. By tracking website activities, retailers can also gather retail data about the number of potential buyers that have shown interest in the business.

What are the key attributes of Retail Data?

The attributes of retail data are grounded on two factors: customer insights, and business insights. Retail data’s attribute of customer insight involves a information on customer behavior. Understanding customer behavior is crucial for retailers to improve customer satisfaction and as result bolster sales. On the other hand, business insight is data that pertains to the business’ supply chain and inventory tracking that can help retailers make procurement decisions to ensure a steady supply of goods. Taking command of the supply chain through retail analytics helps the business to be highly reliable because customers are sure to get what they need at the right time and place.

What is Retail Data used for?

The benefits of retail data are twofold, helping retailers to optimize their supply chain and identify customer trends and preferences. As far as optimizing the supply chain is concerned, retailers can use retail data to revamp their inventory and procurement systems. This undertaking can be achieved by the use of predictive tools in which the business makes use of historical data and trend evaluation to define the order in which to bring in new products and the precise quantities of products needed. This inventory optimization is ensuring that customers get the products they need while reducing space usage in stores. Identifying customer trends and preferences is another important use of retail data analytics. Retailers can easily match up sales data to predict consumer behavior hence creating cross-functional marketing strategies that target just the right consumers.

How is Big Data changing retail marketing analytics?

Companies such as Amazon, Wal-Mart, eBay and Costco are prime examples of how modern retailers have successfully harnessed the real power of big data analytics across processes in the businesses. The companies, which are largely retail stores that are based online, have amplified the power of big data analytics by making retail data useable throughout company departments, hence leading to wide-spread optimization of core business goals and smaller routine daily tasks. Here’s some examples of how using big data in retail adds value to business operations:

• Pipeline development for store location
• Pricing optimization
• Personal data protection
• Customer service
• Inventory management
• Promotion intelligence
• Fraud protection and prevention.

What is the definition of Retail Data analytics?

Retail data analytics refers to the process of analysing information related to retail businesses to establish insights including sales data, inventory data, customer data and other critical pieces of information that play a role in the decision-making initiatives of business owners and merchants. Ascertaining a retail business’ operations and overall health is only possible with the right data. Retail data analytics draws on various data points as evidence, allow the user to paint a picture of the overall business health of a given retailer. In turn, strong retail analytics foster better choices by retail business managers, from operating the business efficiently, to delivering customer-centric service.

How to analyze Retail Sales Data?

Retail business look to acquire retail sales data to improve their own sales. There are numerous retail sales data vendors on online data marketplaces where retail business managers can buy retail sales data and use it for their own analysis. The general process of analyzing retails sales data involves the following core steps:

• Identifying the specific use case for the data.
• Selecting a sales analysis tool to help in the process of analyzing the data.
• Drawing results and sharing the data with the necessary stakeholders to help make inferences from the data and put it to use.

What is a Retail Data model?

A retail data model gathers logical information covering the entire retail industry. Such a data model is usually made up of enterprises, business area, and manufacturers. Retail data models allow businesses to understand the retail ecosystem, which helps them optimize their marketing and selling strategies through retail outlets. Retail data models account for wide-ranging business data on reports and analytic needs concerning the key areas of customer needs, products pricing, marketing initiatives, financial reporting and analysis, inventory management and overall business metrics and analytics.

What is a Retail Data collector?

A data retail data collector gathers price points for many categories of merchandise, to then be compiled in a commerical dataset by a data vendor. Data vendors then provide the collected data on data marketplaces where retailers can shop for the right retail data and use it to enhance their business.

How does Nielsen collect Retail Data?

As a leader in retail measurement services, Nielson’s purchasing data provides detailed and timely data on market shares, competitive sales volumes and overview of distribution, pricing and merchandise promotion. Nielson has a business presence in more than 100 countries and amasses data from close to 900,000 stores in its global retail network who willingly share their data. The process of collection of this information involves point of sale data that is collected through store’s checkout scanners. In the event that this POS data is not available, Nielson uses field auditors who amass sales data via in-store inventory and price checks. Before the data is made available in its propriety software, Nielsen ensures that it undergoes stringent quality control checks through an established quality control system. As such, retailers can use Nielson’s retail sales data subscription services to enrich their business’ sales information and discover intuitive ways to improve the overall performance of their business.

How can a user assess the quality of Retail Data?

Users can assess the quality of retail data by its ability to accurately depict the current trends in market behavior both, for the customers and the business. Quality data is tailored to a specific business in terms of needs and trends. It is up-to-date and it accurately provides trends as far as the retailers’ line of business is concerned. Quality retail data also takes into account the aspect of consumer private data protection. When collecting retail data, the data provider must abide by data privacy regulations to ensure consumers’ PII isn’t compromised.

What are Retail Data statistics for 2021?

The retail reports that are now available on data marketplaces can be used by retail business managers and owners to get to grips with developments that are emerging the in the retail business world. A detailed analysis of retail data reveals how the retail market is experiencing shifts in economies all over the world. For instance, retail data reports show that total global retail sales are expected to reach new heights of $27.73 trillion by 2021. Furthermore, as China is expected to remain the largest ecommerce market in the world, 95% of all retail purchases are projected to be done through ecommerce platforms.

Where can I buy Retail Data?

Data providers and vendors listed on Datarade sell Retail Data products and samples. Popular Retail Data products and datasets available on our platform are Company Information in Excel | 38M Retail companies worldwide | Up-to-Date & GDPR Proof by BoldData, Olvin | Store Visit Data | Ground Truth Validated Retail Dataset by Olvin, and Online Retail Database | eCommerce Stores List 2022 | 5 Million eCommerce Stores Worldwide | 15+ eCommerce Platforms | Real-Time Verified Data by Lead for Business.

How can I get Retail Data?

You can get Retail Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Retail 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 Retail Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Retail Data?

Retail Data is similar to Consumer Review Data, Product Data, Ecommerce Data, Shopper Data, and Brand Data. These data categories are commonly used for Retail Intelligence and Market Share Analysis.

What are the most common use cases for Retail Data?

The top use cases for Retail Data are Retail Intelligence, Market Share Analysis, and Operational Intelligence.

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