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50+ Results

Physical Receipt Data - France and Spain

by QueXopa
Granular and unique consumer spend data in the EU Actively growing panel of users Fully anonymized ...  and compliant with GDPR Access to user demographic variables   Unique consumer spend data in Europe
Available for 2 countries
130K Receipts
18 months of historical data
100% Brand Coverage
Starts at
$350 / purchase
Instantly Purchasable Datasets
France / Spain Physical Receipt Data
$350.00
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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
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5,000+ POIs around the U.K. with Defined Radius
$261.00
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9,000+ POIs around Germany with Defined Radius
$479.00
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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
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Photon Commerce - Amazon & eCommerce Purchase History Panel Data

by Photon Commerce
Photon Commerce captures about $30 billion in annual transaction level order and purchase history for ... Photon Commerce captures daily transaction level order and purchase history for these major vendors:
Available for 1 countries
1B dollars
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Revenue share
10% Datarade discount
Free sample available
revenue share
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Wersel Brand Analytics
Based in United Kingdom
Wersel Brand Analytics
Wersel is a powerful brand collaborative and analytics platform. It can access brands scattered data from every channel, collect and normalize it. This way, ...
Data Integration
Data Visualization
Powerful Hosted Search
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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...
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Photon Commerce
Based in USA
Photon Commerce
The company streamlines the collection, processing, validation, and management of purchase data from the receipts, invoices, and payments data of consumers a...
Amazon
transaction purchase history
Apple
SKUs
Walmart
transaction purchase history
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Unwrangle
Based in India
Unwrangle
Scrape online reviews without worrying about crawlers, headless browsers, proxies or CAPTCHAS. Focus on your main business and use our REST api.
5000+
Records per request
99%
Accuracy
Consistent
Schema
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Edison Trends
Based in USA
Edison Trends
Edison Trends data is owned directly by Edison. The data source are Edison’s consumer apps, Edison Mail and Edison Assistant. With users consent our apps acc...
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90 West Data
Based in USA
90 West Data
Unique US consumer transaction data. Insights from millions of daily transactions.
100%
Client focused
100%
Clean, Complete, Transparent
100%
Research Ready

The Ultimate Guide to Commerce Data 2021

Learn about commerce data analytics, sources, and collection.

What is Retail Data?

Retail data is data you collect about your retail customers or the industry in the larger scale that can be used to improve your business. Retail data takes guesswork out of the equation and enables you to make smarter decisions. It might include point of sales data, loyalty card data and market data.

Other forms of data you’ll want to consider include customer- centric data, supply chain and merchandising data. Foot traffic data allows you to measure which departments of your business in different locations are popular and which are getting less attention. Such insights can help to make decisions on how better to attract customers’ attention. Historical data looks at previous sales and inventory data to help Retailers make decisions. Retail Data enables your business to make smarter decisions, obtain higher profits, gain greater customer satisfaction and have a more competitive store. All in all, when used correctly, data will help you will increase your business efficiency, save money and drive sales.

Who uses Retail Data and for what use cases?

In today’s market, where customer centric approach is everything, it’s important to stay one step ahead of your customers. Retail data gives you the information retailers need to stay ahead and competitive. It allows retailers to better understand their customers and their customers’ needs, wants, spending and eating habits. It allows retailers to go that step further in creating a great retail experience for their customers. Retail data can analyze who were your best customers and what they spent, and which products are most popular among your customers. This can help with ordering decisions and with deciding which products to promote.

Retail data can also help sales teams and marketers to target the right customer at the right time. Analyzing the timing of purchases helps predict what customers may buy next and when. For example, consider a customer who just bought clothes size 0-3 months for her newborn baby from your baby store. Understanding general buying patterns, you can predict when she will need to buy 3-6 months’ baby clothes and 6-12 months’ baby clothes, plus when she may be thinking of shopping for a high-chair, baby walker and so on. Using these predictions, you can recommend products to your customer at relevant times.

Retail data can also be used for streaming. For instance, if retail data company analytics show not many customers shop in the evening midweek, you can consider not opening on midweek evenings, or at least reducing staff on those evenings. You can also use retail data to plan for seasonal fluctuations. Retailers can learn a lot about their market and customers from retail data, and, indeed, more and more businesses have recognized the benefits and use retail data attributes to help make important decisions and find retail business solutions.

What are typical Retail Data attributes?

Retail reporting these days is about more than ringing up sales. Retail data attributes provide businesses with information on how best to lay out departments, aisles and shelves. Retail data sales reports can tell you which products or supplies are driving revenue so you can plan your stock orders accordingly. Retail data allows retailers to predict trends and forward plan. This saves time and money. Having the right data also increases customer satisfaction. Retail data analytics helps retailers to be keenly aware of their customers’ tastes and preferences. This is information retailers can use to increase the value of customers’ experiences. Retailers can see what customers like and enables them to make recommendations based on the customer’s retail history.

Common Retail Data attributes might include:
  • customer data, such as account number, gender, DOB, postcode, time period
  • store space data, such as floor product, sales turnover, space format
  • transactions made with loyalty card, such as account number, store number, value (£), product category, timestamp, time period.
  • Transactions without loyalty card, such as store number, value (£), product category, timestamp, time period.
  • POS data, such as profit margins, basket sizes, customer counts, sales trends, staff streamlining.
  • Foot traffic, such as people counters, beacons and dwell times.

How is Retail Data typically collected?

Retail Data analytics is collected in raw form. It can then be reviewed and cleaned, analyzed and standardized so unit can be integrated into a database. Upon delivery, data may be stored in spreadsheets such as Excel. Another option are CSV files, if you need to share between systems that are incompatible. Data can be stored in data warehouses owned by data providers where it is transformed into a data format ideal for querying and analysis.

The collection can happen in a number of ways, such as by surveys, by having conversations with your customers, and by collecting background data via modern technologies. These different kinds of customer information can then be combined using data analytics to give a more complete picture of your customers’ shopping decisions.

While survey and 1-1 discussions with your customer may yield deep, descriptive insights, the data collection in such a way is not scalable. In often cases we see companies looking for third party data providers who focus on raw data collection for retail analytics. They have extensive expertise on the matter and can use innovative technologies to bring you insights about the market at scale.

Analyzing both offline and online Retail Data is crucial as today customers purchase from multiple channels. Combining data is necessary to gain key insights and increase customer satisfaction. For instance, some retailers have found that customers browse their products online but prefer to purchase their products offline in store. Data enrichment is an essential step to understanding your customers’ path to purchase.

How to assess the quality of Retail Data?

Retail data that is of poor quality will have a negative effect on your business. Raw retail data needs to be reviewed regularly to ensure it is of good quality and any errors removed. For the purpose of many use cases, it is necessary to ensure data is offered in real time, as outdated data is inefficient, ineffective and can have an adverse effect on your business.
Data needs to be tracked regularly for the number of errors, empty values and dark data. The most important thing is to have a data quality assessment plan in action to regularly check your data quality.

Before buying data from third party sources, you should look for previous customer refernsers and ask your data provider for a sample set to test the data in its intended environment for the ultimate pre qualification of quality.

How is Retail Data typically priced?

The price you pay for retail data depends on the size of your company and the sophistication of the system you want to purchase. Retail data is typically purchased by monthly subscription that gives you access to a real time API. Alternative pricing models could consist of pay per usage (CPC), one time payments, or even customized quotes based on your needs.

What are the common challenges when buying Retail Data?

Although retail data is essential for today’s business market, it doesn’t come without challenges. Some challenges when buying retail data include:

  • Siloed data that is not combined. Combined data and looking at customers as a whole is essential to obtain accurate customer information so you can target more effective marketing campaigns
  • Ensuring real time analysis for supply chain management. Real time analytics are essential for efficient inventory management.
  • Ensuring Retail Data is compliant with the new customer compliance rules that are coming into force.
  • Security, it is important to ensure any Retail Data purchased is secure and doesn’t put anyone’s private information in jeopardy.

What to ask Retail Data providers?

Setting up the right systems and learning to use them may take a bit of work. But Retail Data analysis is becoming more and more necessary to stay competitive. Thinking of purchasing a Retail Data system? These are some questions you might consider asking your data providers:

  • How is the data qualified?
  • Will it integrate with my existing business technologies?
  • How often is the Retail Data updated?
  • What security and compliance policies are in place?
  • What dataset delivery method do they offer?

Who are the best Commerce Data providers?

Finding the right Commerce Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Commerce Data providers that you might want to buy Commerce Data from are Wersel Brand Analytics, X-Byte, Photon Commerce, Unwrangle, and Edison Trends.

Where can I buy Commerce Data?

Data providers and vendors listed on Datarade sell Commerce Data products and samples. Popular Commerce Data products and datasets available on our platform are Food and Beverage Data | Consumer Data | Product Data by GBSN Research, Physical Receipt Data - France and Spain by QueXopa, and Reklaim Purchase/Shopping Data. Credit Card + Identifer by Reklaim.

How can I get Commerce Data?

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

What are similar data types to Commerce Data?

Commerce Data is similar to Environmental Data, B2B Data, Energy Data, Real Estate Data, and Geospatial Data. These data categories are commonly used for Retail and Predictive Analytics.

What are the most common use cases for Commerce Data?

The top use cases for Commerce Data are Retail, Predictive Analytics, and Store Visit Tracking.

Translations for this page

Datos de comercio (ES)