E-commerce Reviews dataset - analyse customer sentiment & competitors

#	Product Name	product_sku	url	rating	author	date_published	content
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx
2	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx
3	xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx
4	Xxxxxx	xxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx
5	xxxxxx	Xxxxxxxxx	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx
6	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx
7	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx	Xxxxxxx
8	Xxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxx
9	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxxx	Xxxxxxxxxx
10	Xxxxxx	Xxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxx
...	Xxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxxx	Xxxxxxx	xxxxxxxxx

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Volume

100M

reviews

Data Quality

100%

match rate

Avail. Formats

.csv and .xls

File

Coverage

Countries

History

years

Product Attributes

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

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.

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

3 years of historical data

100 million

reviews

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.

Request detailed pricing

Self-reported by the provider

100%

match rate

Methods

Frequency

Format

Consumer Trend Analysis Consumer Intelligence Product Research Competitor Analytics

Review Monitoring

Consumer Review Data Product Review Data Consumer Sentiment Data Brand Sentiment Data

customer review dataset reviews datasets customer dataset sentiment datasets Sentiment APIs

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94.3% Precision in sentiment

USA covered

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

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 Who’s New on Datarade? June Edition.

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

This Tabular Data has 3 related products. These alternatives include Customer Experience for Beauty & Cosmetics Customer Reviews Sentiment & Theme Data Customer Rating Data, Sentiment Analysis of Facebook/Twitter/Instagram posts, News, Product Reviews - Custom and On-demand Sentiment Analysis Grepsr, and eBay Ecommerce Product Ratings & Reviews Data. 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.

E-commerce Reviews dataset - analyse customer sentiment & competitors

Data Dictionary

Description

Geography

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

TagX
We create digital data assets powering Artificial Intelligence

E-commerce Reviews dataset - analyse customer sentiment & competitors

Data Dictionary

Description

Geography

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

TagX We create digital data assets powering Artificial Intelligence

TagX
We create digital data assets powering Artificial Intelligence