🆚 Arcot vs. Signifyd

Type

Payment service
Fraud prevention software

About

The Arcot Network is a payment authentication network powered by 3-D Secure (3DS). It enables financial institutions, merchants, and payment processors to authenticate the identity of a shopper during an e-commerce payment.

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.

Headquarters

Palo Alto, United States
San Jose, California, United States

Website

Pricing

1.0% of the sales amount

Categories

Payments › Rank #13
Fraud Prevention › Rank #3
Fraud Prevention › Rank #6

Popularity

Determined by the number of sites using each technology.

The Arcot payment service is 3 times more popular than Signifyd.
Total websites

Market share

Fraud Prevention

Popularity by country

Determined by the number of sites detected from each country.

Arcot is more popular in the United States, the United Kingdom, and the Netherlands, while Signifyd is more popular in Canada, the Philippines, and Korea.
United States
United Kingdom
Netherlands
Germany
France
Australia
Italy
Canada
Denmark
Spain

Awards

Popularity by domain category

Determined by the number of sites in each category.

Arcot is more popular among sites focused on online shopping, marketing and merchandising, and fashion and beauty, while Signifyd is more commonly used on weapons and games sites.
Online Shopping
Marketing/Merchandising
Fashion/Beauty
Business
Software/Hardware
Sports
Real Estate
Health
Internet Services
Weapons

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#4,061
#4,262
#5,604
#6,709
View more ➝
Name
Rank
#1,629
#3,708
View more ➝

See also

🗃️ About This Data