E-commerce Reviews dataset - analyse customer sentiment & competitors product image in hero

E-commerce Reviews dataset - analyse customer sentiment & competitors

TagX
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Request Data Sample
Volume
100M
reviews
Data Quality
100%
match rate
Avail. Formats
.csv and .xls
File
Coverage
72
Countries
History
3
years

Data Dictionary

Product Attributes
Attribute Type Example Mapping
String PTC 7000 Series Brand Name
String 50PUF729 Product SKU
String www.amazon.com/sku/ Product URL
Integer 5 Product Rating
String **** *** Contact Full Name
date_published
Date dd/mm/yyyy
content
String Excellent product

Description

The e-commerce reviews dataset is a collection of customer reviews and ratings from popular online marketplaces such as Amazon, Taobao, Tmall, Suning, JD, and more. This dataset provides valuable insights into customer behaviour, preferences, and product feedback.
The e-commerce reviews dataset is a vast collection of customer feedback from various online marketplaces, including Amazon, Taobao, Tmall, Suning, JD, and more. This dataset is an incredibly valuable resource that can help businesses understand customer behaviour, preferences, and product feedback. By analysing this dataset, companies can gain insights into their target audiences, identify trends, and make data-driven decisions to improve their products and services. TagX, a technology and consulting company, is helping businesses all over the world to leverage the power of data to solve the various challenges. With expertise in data management, data warehousing, data integration, and data annotation, TagX can help businesses turn vast amounts of data into meaningful insights. We can work with companies to analyse e-commerce reviews and ratings data from various marketplaces and help them make data-driven decisions based on the insights gained. TagX's data solutions can help businesses of all sizes, across various industries, make sense of complex datasets. For example, we can help businesses identify the products that are most popular among customers and analyse customer reviews to understand what features or aspects of the products they like or dislike. This information can then be used to improve products, enhance customer satisfaction, and drive sales. TagX's capabilities can also help businesses forecast future trends and identify areas of growth. They can use data analysis to identify patterns and make predictions, which can be used to inform strategic decisions such as product development, marketing, and pricing. In summary, the e-commerce reviews dataset is a valuable resource that can provide businesses with valuable insights into customer behaviour and product feedback. TagX's data solutions can help businesses analyse this data and turn it into meaningful insights that can be used to inform strategic decisions and improve products and services.

Geography

Asia (11)
China
Hong Kong
India
Indonesia
Israel
Japan
Korea (Republic of)
Singapore
Taiwan
Thailand
Turkey
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (3)
Canada
Mexico
United States of America
Oceania (1)
Australia
South America (6)
Argentina
Brazil
Colombia
Ecuador
Peru
Uruguay

History

3 years of historical data

Volume

100 million reviews

Pricing

Free sample available
10% discount if you buy via Datarade
TagX has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
match rate

Delivery

Methods
S3 Bucket
Email
Frequency
hourly
daily
weekly
monthly
quarterly
yearly
real-time
on-demand
Format
.csv
.xls

Use Cases

Consumer Trend Analysis
Consumer Intelligence Product Research
Competitor Analytics
Review Monitoring

Categories

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Frequently asked questions

What is E-commerce Reviews dataset - analyse customer sentiment & competitors?

The e-commerce reviews dataset is a collection of customer reviews and ratings from popular online marketplaces such as Amazon, Taobao, Tmall, Suning, JD, and more. This dataset provides valuable insights into customer behaviour, preferences, and product feedback.

What is E-commerce Reviews dataset - analyse customer sentiment & competitors used for?

This product has 5 key use cases. TagX recommends using the data for Consumer Trend Analysis, Consumer Intelligence, Product Research, Competitor Analytics, and Review Monitoring. Global businesses and organizations buy Consumer Review Data from TagX to fuel their analytics and enrichment.

Who can use E-commerce Reviews dataset - analyse customer sentiment & competitors?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Consumer Review Data. Get in touch with TagX to see what their data can do for your business and find out which integrations they provide.

How far back does the data in E-commerce Reviews dataset - analyse customer sentiment & competitors go?

This Tabular Data has 3 years of historical coverage. It can be delivered on a hourly, daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.

Which countries does E-commerce Reviews dataset - analyse customer sentiment & competitors cover?

This product includes data covering 72 countries like USA, China, Japan, Germany, and India. TagX is headquartered in India.

How much does E-commerce Reviews dataset - analyse customer sentiment & competitors cost?

Pricing information for E-commerce Reviews dataset - analyse customer sentiment & competitors is available by getting in contact with TagX. Connect with TagX to get a quote and arrange custom pricing models based on your data requirements.

How can I get E-commerce Reviews dataset - analyse customer sentiment & competitors?

Businesses can buy Consumer Review Data from TagX and get the data via S3 Bucket and Email. Depending on your data requirements and subscription budget, TagX can deliver this product in .csv and .xls format.

What is the data quality of E-commerce Reviews dataset - analyse customer sentiment & competitors?

TagX has reported that this product has the following quality and accuracy assurances: 100% match rate. You can compare and assess the data quality of TagX using Datarade’s data marketplace. TagX has received 1 review from clients. TagX appears on selected Datarade top lists ranking the best data providers, including Best 6 Twitter Data Scrapers to Utilize in 2023, Best +8 Web Scraping APIs to use in 2023, and Best 5 Facebook Data Scrapers to Utilize in 2023.

What are similar products to E-commerce Reviews dataset - analyse customer sentiment & competitors?

This Tabular Data has 3 related products. These alternatives include PromptCloud Consumer Review Insights Customer Sentiment Data Analysis Market Trends Scrape Ecommerce Websites, Grepsr E-commerce Data Product and Review Datasets from Ecommerce websites Global Coverage with Custom and On-demand Datasets, and Coresignal Consumer Review Data Tech Product Review Data Trustpilot + 3 Other Sources Global / 165M+ Records / Updated Monthly. You can compare the best Consumer Review Data providers and products via Datarade’s data marketplace and get the right data for your use case.

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