Why you should consider it
Clearsale has a 99.9% accuracy rate in fraud detection Clearsale has over 1,000 customers in more than 20 countries Clearsale has processed over $20 Billion in transactions since its founding in 2011	Sift Science has a 99.9% accuracy rate in detecting fraud Sift Science has over 1,000 customers, including Airbnb, Twitter, and Uber Sift Science has processed over $200 Billion in transactions
What are the benefits?
Data Insights Fraud Protection Global Reach Secure Payments	Accurate Fraud Detection Easy Integration Real-Time Alerts Robust Security
Things to look out for
Costs Integration Security Support	Complexity Costly Integration Support
Who is it for?
E-commerce Businesses Financial Institutions Online Marketplaces Payment Processors Retailers	E-commerce Businesses Marketplaces Online Advertising Platforms Online Auctions Online Dating Platforms Online Gaming Platforms Online Marketers Online Payment Processors Online Retailers Online Travel Agencies
Features

ClearSale

Clearsale is a fraud prevention solution for ecommerce businesses. It helps merchants protect their online stores from fraudulent transactions and chargebacks. Clearsale uses advanced analytics and machine learning to detect and prevent fraud. It also provides merchants with real-time insights into their customers’ behavior and helps them make informed decisions about their transactions.

Who Should Use Clearsale?

Clearsale is ideal for ecommerce businesses of all sizes. It is especially useful for businesses that process a large number of transactions and need to protect their online stores from fraud. Clearsale is also a great solution for businesses that want to reduce their chargeback rates and improve their customer experience.

Key Benefits and Features

• Real-time fraud detection and prevention
• Advanced analytics and machine learning
• Reduced chargeback rates
• Improved customer experience
• 24/7 customer support

How Does Clearsale Compare to Its Competitors?

Clearsale stands out from its competitors by offering advanced analytics and machine learning to detect and prevent fraud. It also provides merchants with real-time insights into their customers’ behavior and helps them make informed decisions about their transactions. Additionally, Clearsale offers 24/7 customer support and reduced chargeback rates.

Help & Support

What is ClearSale?

ClearSale is a fraud prevention solution that helps e-commerce businesses reduce chargebacks and false declines, while increasing approval rates and sales.

What services does ClearSale offer?

ClearSale offers a suite of fraud prevention services, including manual review, machine learning, and chargeback guarantee.

What types of businesses does ClearSale work with?

ClearSale works with e-commerce businesses of all sizes, from small businesses to large enterprises.

What countries does ClearSale operate in?

ClearSale operates in over 40 countries, including the United States, Brazil, Mexico, Colombia, Argentina, Peru, Chile, and more.

What payment methods does ClearSale support?

ClearSale supports all major payment methods, including credit cards, debit cards, PayPal, Apple Pay, and more.

Does ClearSale offer customer support?

Yes, ClearSale offers 24/7 customer support via phone, email, and live chat.

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Sift Science

Sift Science: Fraud Prevention and Risk Management Solutions

Sift Science is a fraud prevention and risk management platform that helps businesses protect their customers and their bottom line. It uses machine learning and data science to detect and prevent fraud, abuse, and other malicious activities. It is used by companies of all sizes, from small businesses to Fortune 500 companies.

Key Benefits and Features

Sift Science offers a comprehensive suite of fraud prevention and risk management solutions. It provides real-time fraud detection and prevention, automated decision-making, and advanced analytics. It also offers customizable rules and policies, as well as customizable user interfaces. Additionally, it provides a comprehensive set of APIs and integrations with other platforms.

Who Should Use Sift Science?

Sift Science is ideal for businesses of all sizes that need to protect their customers and their bottom line from fraud, abuse, and other malicious activities. It is especially useful for businesses that process large volumes of transactions, such as e-commerce, travel, and financial services companies.

How Does Sift Science Compare to Its Competitors?

Sift Science is one of the leading fraud prevention and risk management solutions on the market. It offers a comprehensive suite of features and is highly customizable. It is also easy to use and integrates with other platforms. Additionally, it is more affordable than many of its competitors.

• Real-time fraud detection and prevention
• Automated decision-making
• Advanced analytics
• Customizable rules and policies
• Customizable user interfaces
• Comprehensive set of APIs and integrations
• Easy to use
• More affordable than many competitors

Help & Support

What is Sift Science?

Sift Science is a fraud prevention platform that helps businesses detect and prevent fraud in real-time.

What types of fraud does Sift Science detect?

Sift Science detects a wide range of fraud types, including account takeover, payment fraud, and more.

How does Sift Science work?

Sift Science uses machine learning to detect and prevent fraud. It collects data from multiple sources, including user behavior, device information, and more, to create a comprehensive fraud profile. This profile is then used to detect and prevent fraud in real-time.

What types of businesses use Sift Science?

Sift Science is used by businesses of all sizes, from small startups to large enterprises. It is used by ecommerce, marketplaces, travel, gaming, and other industries.

What features does Sift Science offer?

Sift Science offers a range of features, including fraud detection, risk scoring, user authentication, and more.

Does Sift Science offer a free trial?

Yes, Sift Science offers a free trial for businesses to test out the platform.

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