DataWeave

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DataWeave Data Products: APIs & Datasets

Explore DataWeave’s datasets, databases, and data feeds.
Dataweave's SaaS platform provides Competitive Intelligence as a Service to retailers globally, enabling them to compete effectively and ...
DataWeave: Pricing Intelligence - Pricing Data 1M records icon
1M records
DataWeave: Pricing Intelligence - Pricing Data 95% Match rate icon
95% Match rate
DataWeave: Pricing Intelligence - Pricing Data 13 countries covered icon
13 countries covered
Identify the strengths and weaknesses of your product assortment and plug the gaps in your product portfolio with the latest trending pro...
DataWeave: Assortment Intelligence - Ecommerce Product Data 5M records icon
5M records
DataWeave: Assortment Intelligence - Ecommerce Product Data 240 countries covered icon
240 countries covered
Dataweave's Digital Shelf Analytics helps you audit four broad aspects of your brand in the online world. These include Share of Voice, c...
DataWeave: Digital Shelf Analytics - Ecommerce Store Data 90% Accuracy icon
90% Accuracy
DataWeave: Digital Shelf Analytics - Ecommerce Store Data 13 countries covered icon
13 countries covered
Monitor and minimize MAP violations across your product portfolio. Also, track Unauthorized selling, counterfeit products and product con...
DataWeave: Brand Protection - Ecommerce Product Data 13 countries covered icon
13 countries covered
Be informed on unit sales data for any SKU, for a specific duration going back in history, and market share commanded by the SKU in its c...
DataWeave - Sales and Market Share 9 countries covered icon
9 countries covered

DataWeave Pricing & Cost

Learn about DataWeave’s prices, subscription cost, and API pricing.
The supported pricing models for DataWeave’s data are One-off purchase, Monthly License, Yearly License, and Usage-based. Get talking to a member of the DataWeave team to receive custom pricing options, information about data subscription fees, and quotes for DataWeave’s data offering tailored to your use case.

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About DataWeave

Learn more about DataWeave’s data sources, use cases, and integrations.

DataWeave in a Nutshell

DataWeave is an AI-powered SaaS platform that provides Competitive Intelligence as a Service to consumer brands and eCommerce businesses, enabling them to compete profitably and accelerate revenue growth. The company was founded in 2011 and has grown to a team of 125+ employees located across offices in San Francisco, Seattle, Baltimore, Boston, Singapore, and Bangalore.

DataWeave is a trusted partner of Overstock, QVC, Transamerica Auto Parts, Adidas, Dorel, Sauder, and many more retailers and brands globally. The company was ranked 3rd in South East Asia and 121st in APAC on the Deloitte Technology Fast 500 2019, having grown 660%+ in revenue over three years.

Headquarter
Singapore

Geo Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan, Province of China
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
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 (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

Data Offering

eCommerce businesses use DataWeave to optimize their pricing and merchandising strategies, enabling them to identify and act on price improvement opportunities and plug high-demand gaps in their assortment. Consumer brands use DataWeave to optimize their digital shelf and protect their brand equity on online marketplaces. Popular use cases include enhancing their Share of Voice, content quality, and product availability, as well as minimizing pricing violations, and counterfeit product listings.

Show 5 more

Use Cases

Pricing Intelligence for retailers
Drive efficient pricing across thousands of products to maximize revenues and margins. Tweak the prices of products that are priced either too low or too high.
Identify and act on areas where your competitive price position can be optimized to trigger more sales or drive the desired price perception.
Gain an in-depth view into your competitor’s pricing strategies historically to anticipate price movements. Combine stock status information with competitive pricing insights to make smarter and aggressive pricing decisions.

Assortment Intelligence for retailers
Improve your customer acquisition and retention by hosting a wide range of in-demand products in your assortment.
Identify the strengths and weaknesses of your product assortment. Maintain a favorable mix of unique, overlapping, and out-of-stock products in your product assortment compared to your competition.
Identify and act on high-demand gaps in your product assortment relative to your top competitors. Spot newly added, out-of-stock, replenished and discontinued products in your product assortment, relative to competing retailers.

Digital Shelf Analytics for brands
Boost your Share of Search and Share of Category on online marketplaces to drive more traffic to your brand. Audit and enhance your catalog content to be on par with industry best practices and improve conversion rates. Track and improve your product availability and pricing across retailers, even at a store-level. Unearth customer sentiment on your products and its features via AI-powered analysis of product reviews.

Brand Protection for brands
Minimize MAP violations in your product portfolio, curb unauthorized merchants and spot fake products being sold online.

Show 1 more

Data Sources & Collection

DataWeave’s proprietary data aggregation platform acquires millions of data points from the public Web across geographies, ZIP codes, and languages, every day. Data can be captured from mobile apps as well, providing a comprehensive view of the online competitive environment.

The company’s data aggregating engine is built to operate across complex Web environments, capable of acquiring data from diverse industry verticals and online platforms.

Key Differentiators

Data Scale and accuracy: Our system aggregates data with very high accuracy and at a massive scale across diverse web environments, including mobile apps. We can also deliver information by ZIP codes and across 25+ international languages.

Industry-leading product match rates: We match products at a guaranteed 95% accuracy. We also typically have 25-30% higher coverage of matches than other providers in the market.

Flexible engagement options and customization: Our solution is not just off-the-shelf, but we’re open to flexible engagements with our customers to cater to their specific needs.

High-quality customer engagement and support: Customer success and business analytics teams of domain experts will help you analyze and act on the insights presented to you, to help you realize business value. We also offer 24x7 customer support.

Data Privacy

DataWeave captures only publicly accessible information from the Web. The company does not track or collect any personal or personalized information.

What are you looking for?

100% Response rate

Frequently asked questions about DataWeave

What does DataWeave do?

DataWeave is an AI-powered SaaS platform that provides Competitive Intelligence as a Service to consumer brands and eCommerce businesses, enabling them to compete profitably and accelerate revenue growth.

How much does DataWeave cost?

The supported pricing models for DataWeave’s data are One-off purchase, Monthly License, Yearly License, and Usage-based. Get talking to a member of the DataWeave team to receive custom pricing options, information about data subscription fees, and quotes for DataWeave’s data offering tailored to your use case.

What kind of data does DataWeave have?

Brand Data, Consumer Review Data , CPG Data, Digital Shelf Data, and 9 others

What data does DataWeave offer?

eCommerce businesses use DataWeave to optimize their pricing and merchandising strategies, enabling them to identify and act on price improvement opportunities and plug high-demand gaps in their assortment. Consumer brands use DataWeave to optimize their digital shelf and protect their brand equity on online marketplaces. Popular use cases include enhancing their Share of Voice, content quality, and product availability, as well as minimizing pricing violations, and counterfeit product listings.

How does DataWeave collect data?

DataWeave’s proprietary data aggregation platform acquires millions of data points from the public Web across geographies, ZIP codes, and languages, every day. Data can be captured from mobile apps as well, providing a comprehensive view of the online competitive environment. The company’s data aggregating engine is built to operate across complex Web environments, capable of acquiring data from diverse industry verticals and online platforms.

What’s DataWeave’s data privacy policy?

DataWeave captures only publicly accessible information from the Web. The company does not track or collect any personal or personalized information.

What are the best use cases for DataWeave’s data?

Pricing Intelligence for retailers Drive efficient pricing across thousands of products to maximize revenues and margins. Tweak the prices of products that are priced either too low or too high. Identify and act on areas where your competitive price position can be optimized to trigger more sales or drive the desired price perception. Gain an in-depth view into your competitor’s pricing strategies historically to anticipate price movements. Combine stock status information with competitive pricing insights to make smarter and aggressive pricing decisions. Assortment Intelligence for retailers Improve your customer acquisition and retention by hosting a wide range of in-demand products in your assortment. Identify the strengths and weaknesses of your product assortment. Maintain a favorable mix of unique, overlapping, and out-of-stock products in your product assortment compared to your competition. Identify and act on high-demand gaps in your product assortment relative to your top competitors. Spot newly added, out-of-stock, replenished and discontinued products in your product assortment, relative to competing retailers. Digital Shelf Analytics for brands Boost your Share of Search and Share of Category on online marketplaces to drive more traffic to your brand. Audit and enhance your catalog content to be on par with industry best practices and improve conversion rates. Track and improve your product availability and pricing across retailers, even at a store-level. Unearth customer sentiment on your products and its features via AI-powered analysis of product reviews. Brand Protection for brands Minimize MAP violations in your product portfolio, curb unauthorized merchants and spot fake products being sold online.