Reviews Summary: E-commerce Fraud Protection Software with ID Analytics Features
Currently there are 12 E-commerce Fraud Protection software products with ID Analytics features listed on G2, and together they have generated 1,390 total reviews. These reviews are generated using the qualitative and quantitative feedback from G2 members who have used these software products.
G2 users review E-commerce Fraud Protection software products based on criteria relating to user experience, setup, and support. Below you will find how users rated the 12 E-commerce Fraud Protection software products that have ID Analytics features based on those criteria:
- Quality of Support: 9.1/10 average user rating
- Ease of Use: 9/10 average user rating
- Ease of Setup: 8.7/10 average user rating
To help you compare and find the best E-commerce Fraud Protection software product with the right ID Analytics functionality for your business, we have gathered some additional details and FAQs below.
What E-commerce Fraud Protection products with ID Analytics features have the most reviews and are the highest-rated?
Based on quantity of reviews and average ratings, these are the most popular E-commerce Fraud Protection software products with ID Analytics capabilities according to G2 users:
What E-commerce Fraud Protection software products with ID Analytics capabilities are the most liked according to G2 users?
Based on the G2 ratings scale and regardless of review count, these are the highest-rated E-commerce Fraud Protection software products with ID Analytics capabilities:
Which software products with ID Analytics features are the highest rated on G2?
These are the E-commerce Fraud Protection software products offering ID Analytics capabilities and have the highest ratings:
- Kount has received 101 reviews and is rated 4.8-stars.
- ClearSale has received 197 reviews and is rated 4.7-stars.
- Signifyd has received 274 reviews and is rated 4.6-stars.
- Sift has received 214 reviews and is rated 4.6-stars.
- SEON. Fraud Fighters has received 182 reviews and is rated 4.6-stars.
Review Snippets for E-commerce Fraud Protection Software with ID Analytics Features
Questions | Responses |
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Here is what users liked best about E-commerce Fraud Protection software with ID Analytics features. |
Sift: "Sift Science provides and easy-to-use fraud prevention platform for checking revenue and customers."
- Sharon L., IoT Intern @ Tulip | MIT EECS '21, Mid-Market (51-1000 emp.)
SEON. Fraud Fighters: "The platform is reliable, makes security auditing easier and the team is quick to respond to requests."
- João P., Mid-Market (51-1000 emp.)
Signifyd: "How responsive the team is, and helpful!"
- Weston D., Mid-Market (51-1000 emp.)
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Here is what users liked least about E-commerce Fraud Protection software with ID Analytics features. |
Digital River: "Reports are hard to generate, fees are not obvious for individual transactions."
- Darrin L., Senior Integration Developer at SimpleNexus, Small-Business (50 or fewer emp.)
ClearSale: "la atención no es mala, es malísima. Intenté comunicarme con ellos y me dejaron plantado 3 veces"
- Santiago A., Small-Business (50 or fewer emp.)
Ekata: "User experience is sub par. Verification match is not deep."
- Varun K., Enterprise (> 1000 emp.)
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These are what users recommend to others considering popular E-commerce Fraud Protection software products with ID Analytics capabilities. |
Signifyd: "Consider percentage of domestic to international orders"
- Kaylee K., Small-Business (50 or fewer emp.)
ClearSale: "It's one of the best fraud monitoring/prevention options out there."
- Lee K., Analytics Director at Coalmarch Productions, Small-Business (50 or fewer emp.)
Riskified: "Very easy to set up and the response time is quick. I have never had issues getting the reports that authorize approval or a decline within a timely matter."
- Kaytlyn G., Office Manager, Small-Business (50 or fewer emp.)
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These are the problems users said the software was solving and how it is benefitting them. |
Sift: "It's easier than ever to find out whether there are leakages in sales pipelines and discovering fake accounts for product users."
- Sharon L., IoT Intern @ Tulip | MIT EECS '21, Mid-Market (51-1000 emp.)
SEON. Fraud Fighters: "Fraud prevention. Has the benefit of crossing information with other clients and helps to find patterns of fraud"
- João P., Mid-Market (51-1000 emp.)
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