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Compare Pipl and Sift

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At a Glance
Pipl
Pipl
Star Rating
(44)4.4 out of 5
Market Segments
Small-Business (50.0% of reviews)
Information
Pros & Cons
Entry-Level Pricing
Contact Sales
Learn more about Pipl
Sift
Sift
Star Rating
(569)4.6 out of 5
Market Segments
Mid-Market (56.4% of reviews)
Information
Pros & Cons
Entry-Level Pricing
$$
Learn more about Sift
AI Generated Summary
AI-generated. Powered by real user reviews.
  • G2 reviewers report that Sift excels in overall user satisfaction, boasting a significantly higher G2 Score compared to Pipl. Users appreciate Sift's ability to conduct deeper investigations into fraud, highlighting features like visual evidence analysis and pattern detection.
  • Users say Sift's user-friendly interface is a standout feature, with an intuitive dashboard that simplifies access to critical information. In contrast, while Pipl also provides valuable data, some users find its interface less straightforward, which can impact the overall user experience.
  • Reviewers mention that Sift's powerful search and filtering capabilities are particularly beneficial for fraud detection, allowing for quick and effective investigations. Pipl, on the other hand, is praised for its ability to find mobile numbers and social media connections, but it may not offer the same depth of analysis as Sift.
  • According to verified reviews, Sift has a robust implementation process, with users noting a smooth onboarding experience. Pipl, while effective in its own right, has fewer recent reviews, which may indicate less current user feedback on its setup process.
  • Users highlight that Sift provides clear, actionable insights into user behavior over time, enabling faster decision-making. Pipl's strengths lie in its data retrieval capabilities, but some users feel it lacks the same level of actionable insights that Sift offers.
  • G2 reviewers indicate that Sift's support quality is highly rated, with users feeling well-supported during their use of the platform. Pipl also receives positive feedback for its support, but Sift's higher overall satisfaction scores suggest a more consistent experience in this area.
Pricing
Entry-Level Pricing
Pipl
1+ Users
Contact Sales
Learn more about Pipl
Sift
Volume-based pricing
$$
Learn more about Sift
Free Trial
Pipl
No trial information available
Sift
No trial information available
Ratings
Meets Requirements
8.5
26
8.9
519
Ease of Use
9.2
25
8.9
529
Ease of Setup
8.8
8
9.0
356
Ease of Admin
9.3
7
9.0
186
Quality of Support
9.1
21
8.9
472
Has the product been a good partner in doing business?
9.2
6
8.9
185
Product Direction (% positive)
7.6
24
9.4
509
Features by Category
Not enough data
8.8
444
Detection
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Not enough data
9.0
415
Not enough data
8.8
408
Analysis
Not enough data
8.8
406
Not enough data
8.9
410
Feature Not Available
8.6
402
Administration
Not enough data
9.1
413
Not enough data
8.9
413
Feature Not Available
8.8
412
Agentic AI - Fraud Detection
Not enough data
8.4
70
Not enough data
8.5
69
Not enough data
8.7
70
Risk-Based Authentication (RBA)Hide 4 FeaturesShow 4 Features
Not enough data
9.0
193
Administration
Not enough data
Feature Not Available
Not enough data
8.9
174
Not enough data
Feature Not Available
Not enough data
9.0
71
Accounting & FinanceHide 1 FeatureShow 1 Feature
Not enough data
Not enough data
Agentic AI - Accounting & Finance
Not enough data
Not enough data
Financial Fraud PreventionHide 9 FeaturesShow 9 Features
Not enough data
8.7
15
Transaction Monitoring - Financial Fraud Prevention
Not enough data
8.9
15
Not enough data
8.9
15
Not enough data
8.9
14
Identity & Authentication - Financial Fraud Prevention
Not enough data
8.7
15
Not enough data
9.1
15
Behavioral & Analytics Detection - Financial Fraud Prevention
Not enough data
8.6
15
Not enough data
8.6
15
Audit & Compliance - Financial Fraud Prevention
Not enough data
8.2
15
Not enough data
8.3
15
E-commerce Fraud ProtectionHide 11 FeaturesShow 11 Features
Not enough data
8.8
274
Intelligence
Not enough data
8.9
254
|
Verified
Not enough data
9.0
260
|
Verified
Not enough data
8.8
251
|
Verified
Not enough data
8.6
252
|
Verified
Detection
Not enough data
8.9
259
|
Verified
Not enough data
8.6
241
|
Verified
Not enough data
8.9
255
|
Verified
Response
Not enough data
8.8
256
|
Verified
Not enough data
8.9
253
|
Verified
Feature Not Available
8.8
250
|
Verified
Feature Not Available
8.3
229
Categories
Categories
Shared Categories
Pipl
Pipl
Sift
Sift
Pipl and Sift are categorized as Fraud Detection and E-commerce Fraud Protection
Unique Categories
Pipl
Pipl has no unique categories
Reviews
Reviewers' Company Size
Pipl
Pipl
Small-Business(50 or fewer emp.)
50.0%
Mid-Market(51-1000 emp.)
31.0%
Enterprise(> 1000 emp.)
19.0%
Sift
Sift
Small-Business(50 or fewer emp.)
15.5%
Mid-Market(51-1000 emp.)
56.4%
Enterprise(> 1000 emp.)
28.1%
Reviewers' Industry
Pipl
Pipl
Retail
9.5%
Staffing and Recruiting
7.1%
Law Enforcement
7.1%
Information Technology and Services
7.1%
Financial Services
7.1%
Other
61.9%
Sift
Sift
Financial Services
37.5%
Consumer Services
5.8%
Information Technology and Services
5.2%
Apparel & Fashion
4.7%
Retail
3.2%
Other
43.6%
Alternatives
Pipl
Pipl Alternatives
Signifyd
Signifyd
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Mastercard Identity Review 360
Mastercard Identity Review 360
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SEON. Fraud Fighters
SEON. Fraud Fighters
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Trulioo
Trulioo
Add Trulioo
Sift
Sift Alternatives
Kount
Kount
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SEON. Fraud Fighters
SEON. Fraud Fighters
Add SEON. Fraud Fighters
Signifyd
Signifyd
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Riskified
Riskified
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Discussions
Pipl
Pipl Discussions
in what region where do you find pipl most efective
2 Comments
RASHAB K.
RK
United KingdomRead more
Monty the Mongoose crying
Pipl has no more discussions with answers
Sift
Sift Discussions
Monty the Mongoose crying
Sift has no discussions with answers