Who Uses This Software?
On-Demand, Travel, Mobile Apps, Online Marketplaces, Digital Cash, E-Commerce, Payment Gateways
Average Ratings
2 Reviews-
Overall
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Ease of Use
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Customer Service
Product Details
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Starting Price$0.05
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Pricing Detailspay as you go, per transaction/order
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Free VersionYes
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DeploymentCloud, SaaS, Web
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TrainingDocumentation
Webinars
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SupportBusiness Hours
Vendor Details
- Sift Science
- siftscience.com/
- Founded 2011
- United States
About Sift Science
Enables businesses to avoid and prevent online fraud using powerful real-time machine learning technology.
Sift Science Features
- Access Security Management
- Check Fraud Monitoring
- Custom Fraud Parameters
- For Banking
- For Insurance Industry
- Internal Fraud Monitoring
- Investigator Notes
- Pattern Recognition
- Transaction Approval
Sift Science has enabled us to control unviable users.
Mar 17, 2018
Verified Reviewer
201-500 employees
Used the software for: 6-12 months
Reviewer Source
Source: Capterra
Ease of Use
Features & Functionality
Customer Support
Value for Money
Likelihood to Recommend:
Not
Likely Extremely
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This has been a great tool to prevent fraud
Jun 12, 2018
Zach H.
Sales/Service Manager
Used the software for: 1-2 years
Reviewer Source
Source: Capterra
Ease of Use
Features & Functionality
Customer Support
Value for Money
Likelihood to Recommend:
Not
Likely Extremely
Likely
NotLikely Extremely
Likely
Pros: The scores we receive on transactions are usually quite accurate and fast, and they have helped us avoid many potentially fraudulent orders.
Cons: We have had some issues where we are unable to locate a transaction in the system to further investigate, even though we received a score for the order.
Pros: I like that it helps me find suspicious interactions between users. It does get me if a user has a network of accounts and if they are the same person by verifying if they are using the same device.
Cons: It is a bit tricky to use. There are so many options and so much to discover it can be a little bit overwhelming. But once you know what you're doing (kinda) you should be all set.
Overall: We get to know the activity of users on a website. Helps us know if there is some kind of iffy business going on. And I like that it is self learning. Meaning it learns from the decisions you make and helps you tag any bad users.