Buy Retail Data

Discover, sample & purchase the best Retail Data. Learn more ➔
50+ Results

Echo Analytics - Raw Points-of-Interest Data in Europe

by Echo Analytics
Our data is sourced from a combination of public and private data sources to build the most comprehensive ... Refined, accurate data on the POI level to define its geographical location (lat/long), categorisation
Available for 5 countries
1 years of historical data
Starts at
$116 / purchase
Free sample available
Instantly Purchasable Datasets
2,000+ POIs around France with Defined Radius
$116.00
Preview Buy
5,000+ POIs around the U.K. with Defined Radius
$261.00
Preview Buy
9,000+ POIs around Germany with Defined Radius
$479.00
Preview Buy

Geolytica POIData.xyz Points of Interest (POI) Geo Data - China

by Geolytica
pipeline API publishes the datasets on our data store POI Data is in a constant flux - especially ... the data was purchased as a one time snapshot, or via a recurring payment plan on our data update pipeline
Available for 1 countries
1M records
50% Coverage
Starts at
$5,000 / purchase
10% Datarade discount
Free sample available
Instantly Purchasable Datasets
China Point of Interest Dataset
$5,000.00
Preview Buy
5.0(1)

Bright Data | Retail Data - Global Coverage - Pricing Data, Seller Ratings Data, Customer Reviews Data

by Bright Data (Formerly Luminati Networks)
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
5.0(1)

aKQired Ecommerce Database - Shopify Stores, Retail Database [Owners, Emails, Phone]

by aKQired
We offer worldwide shopify/ecom retail shops data with Data Fields below: Store Name Website Contact ... Our Worldwide Shopify/Retail Database consists of the most lucrative business database.
Available for 249 countries
1K Contacts/Day
5 years of historical data
100% Qualified
Starts at
$550$495 / 1000 Contacts
10% Datarade discount
Free sample available
revenue share

List of 38M Retail companies worldwide

by BoldData
With over 38 million businesses, all held in-house, BoldData has the largest supply of retail data. ... Our data experts are specialized in supervising international campaigns.
Available for 249 countries
38.6M Companies
4 years of historical data
99% Registered companies
Starts at
€425 / purchase
Free sample available
datarade.ai - catsai profile banner
catsai
Based in United Kingdom
catsai
We have created the worlds 1st AI Demand Predictions as-a-service. We predict at the hyper-local level buyer-intent and demand in the near term. Te...
7 days
ROI
80%
better than forecasting
3 days
Turnaround
datarade.ai - X-Byte profile banner
X-Byte
Based in USA
X-Byte
World’s Leading Web Scraping Services Provider USA, UK, Europe, Australia, Germany, Canada, Denmark We Offer Best Python based Web Data Extraction, Mobile ap...
datarade.ai - Bright Data (Formerly Luminati Networks) profile banner
Bright Data (Formerly Luminati Networks)
Based in USA
Bright Data (Formerly Luminati Networks)
Bright Data is a leading data collection platform, which enables our customers to collect data sets from millions of websites through our proprietary technol...
+72M IPs
Around the world
99.99%
Network uptime
Fastest
Response time
datarade.ai - Datahut profile banner
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
datarade.ai - MBI Geodata profile banner
MBI Geodata
Based in Germany
MBI Geodata
MBI is a data company with a key focus on building global consistent and comparable datasets. Preferred data provider & partner to leading IT & GIS companies...
Coverage
worldwide
Data
globally consistent
Quality
strict & continuous controls
datarade.ai - Snapbizz profile banner
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

The Ultimate Guide to Retail Data 2021

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.

Who are the best Retail Data providers?

Finding the right Retail Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Retail Data providers that you might want to buy Retail Data from are catsai, X-Byte, Bright Data (Formerly Luminati Networks), Datahut, and MBI Geodata.

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 Echo Analytics - Raw Points-of-Interest Data in Europe by Echo Analytics, Geolytica POIData.xyz Points of Interest (POI) Geo Data - China by Geolytica, and Scrape Retail Data Worldwide Using E-Commerce APIs from X-Byte by X-Byte.

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.

Translations for this page

Datos de minoristas (ES)