🆚 Signifyd vs. TruValidate

Type

Fraud prevention software
Fraud prevention software

About

Signifyd is an e-commerce fraud protection platform that automatically reviews orders for fraud and recommends which orders to ship and which to reject.

It uses machine learning and big data from its Commerce Network to generate risk assessments in real time, offers a 100 percent financial guarantee against fraudulent chargebacks for approved orders, and supports workflow automation (capture payment, cancel order, void authorization, restock) based on its decision.

The TransUnion TruValidate suite provides identity proofing, risk-based authentication, and fraud analytics. It creates a comprehensive consumer view by integrating proprietary data, personal information, device identifiers, and online behavior.

Headquarters

San Jose, California, United States
Chicago, Illinois, United States

Website

Pricing

1.0% of the sales amount

Categories

Fraud Prevention › Rank #6
Fraud Prevention › Rank #9

Popularity

Determined by the number of sites using each technology.

The Signifyd fraud prevention software is 1.1 times more popular than TruValidate.
Total websites

Market share

Fraud Prevention

Popularity by country

Determined by the number of sites detected from each country.

Signifyd is more popular in the United States, Canada, and Italy, while TruValidate is more popular in the United Kingdom, France, and Australia.
United States
United Kingdom
France
Canada
Australia
Germany
Italy
Netherlands
Japan
Spain

Awards

Popularity by domain category

Determined by the number of sites in each category.

Signifyd is more popular among sites focused on online shopping, fashion and beauty, and sports, while TruValidate is more commonly used on marketing and merchandising, business, and health sites.
Online Shopping
Fashion/Beauty
Marketing/Merchandising
Business
Health
Finance/Banking
Software/Hardware
Sports
Real Estate
Weapons

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#1,629
#3,708
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Name
Rank
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See also

🗃️ About This Data