# Pipl vs Sift Comparison
---
## AI Generated Summary
- **G2 reviewers report** that Sift excels in user experience, with many praising its **intuitive interface** and seamless integration with various applications. Users appreciate how easy it is to navigate and input information, which significantly enhances their workflow.
- **Users say** that Sift's implementation process is notably quick and straightforward. Recent feedback highlights the **easy initial setup** , with one user mentioning that it was already configured in their Okta login, making it hassle-free to get started.
- **Reviewers mention** that while Sift has a higher overall satisfaction score, Pipl still provides valuable data, particularly in finding **mobile numbers and social media connections**. Users find this feature useful for resolving specific scenarios, although it may not be as user-friendly as Sift.
- **According to verified reviews** , Sift's support quality is highly rated, with users noting that they feel supported in their business operations. In contrast, while Pipl's support is also rated positively, it doesn't quite match the level of satisfaction reported by Sift users.
- **G2 reviewers highlight** that Sift's ability to generate fraud reports is a standout feature, allowing users to easily verify fraud scores and locales. This level of detail is less emphasized in Pipl's offerings, which focus more on data retrieval rather than fraud detection.
- **Users indicate** that while Pipl has a strong hit rate for data retrieval, it lacks the comprehensive fraud protection features that Sift provides. This makes Sift a more robust choice for businesses prioritizing security and fraud prevention in their operations.



| | Pipl | Sift | 
|---|---|---|
| **Star Rating** | 4.4 out of 5 | 4.6 out of 5 | 
| **Total Reviews** | 44 | 610 | 
| **Largest Market Segment** | Small-Business (50.0% of reviews) | Mid-Market (56.8% of reviews) | 
| **Entry Level Price** | Contact Sales | $$ | 

---
## Top Pros & Cons

### Pipl

Pros:
- Efficiency (2 reviews)
- Accuracy (1 reviews)

Cons:
- Expensive (1 reviews)
- Inaccuracy (1 reviews)

### Sift

Pros:
- Ease of Use (71 reviews)
- Fraud Prevention (71 reviews)

Cons:
- Inaccuracy (29 reviews)
- Lack of Clarity (20 reviews)

---
## Ratings Comparison
| Rating | Pipl | Sift | 
|---|---|---|
  | **Meets Requirements** | 8.5 (26 reviews) | 9.0 (550 reviews) | 
  | **Ease of Use** | 9.2 (25 reviews) | 9.0 (561 reviews) | 
  | **Ease of Setup** | 8.8 (8 reviews) | 9.0 (387 reviews) | 
  | **Ease of Admin** | 9.3 (7 reviews) | 9.0 (193 reviews) | 
  | **Quality of Support** | 9.1 (21 reviews) | 9.0 (502 reviews) | 
  | **Has the product been a good partner in doing business?** | 9.2 (6 reviews) | 8.9 (191 reviews) | 
  | **Product Direction (% positive)** | 7.6 (24 reviews) | 9.4 (534 reviews) | 

---
## Pricing

### Pipl

#### Entry-Level Pricing

Plan: 1+ Users 

Price: Contact Sales

Description: Annual subscription and unlimited searches 


[Learn more about Pipl](https://www.g2.com/products/pipl/reviews)

#### Free Trial

No

### Sift

#### Entry-Level Pricing

Plan: Volume-based pricing

Price: $$

Description: Volume-based pricing.


[Learn more about Sift](https://www.g2.com/products/sift-s-ai-powered-fraud-decisioning-platform-sift/reviews)

#### Free Trial

No

---
## Features Comparison By Category

### Fraud Detection

| Product | Score | Reviews |
|---|---|---|
| **Pipl** | N/A | N/A |
| **Sift** | 8.8/10 | 475 |

#### Detection

| Feature | Pipl | Sift | 
|---|---|---|
| **Real-Time Monitoring** | Not enough data | 9.0 (427 reviews) | 
| **Alerts** | Not enough data | 8.8 (413 reviews) | 

#### Analysis 

| Feature | Pipl | Sift | 
|---|---|---|
| **ID Analytics** | Not enough data | 8.9 (416 reviews) | 
| **Intelligence Reporting** | Not enough data | 8.9 (417 reviews) | 
| **Incident Reports** | Feature Not Available | 8.7 (407 reviews) | 

#### Administration

| Feature | Pipl | Sift | 
|---|---|---|
| **Fraud Markers** | Not enough data | 9.1 (416 reviews) | 
| **Transaction Scoring** | Not enough data | 8.9 (419 reviews) | 
| **Blacklisting** | Feature Not Available | 8.8 (413 reviews) | 

#### Agentic AI - Fraud Detection

| Feature | Pipl | Sift | 
|---|---|---|
| **Cross-system Integration** | Not enough data | 8.7 (83 reviews) | 
| **Adaptive Learning** | Not enough data | 8.7 (77 reviews) | 
| **Decision Making** | Not enough data | 9.0 (83 reviews) | 

### Risk-Based Authentication (RBA)

| Product | Score | Reviews |
|---|---|---|
| **Pipl** | N/A | N/A |
| **Sift** | 9.0/10 | 193 |

#### Administration

| Feature | Pipl | Sift | 
|---|---|---|
| **Bi-Directional Identity Synchronization** | Not enough data | Feature Not Available | 
| **Policy Management** | Not enough data | 8.9 (174 reviews) | 
| **Cloud Directory** | Not enough data | Feature Not Available | 
| **Application Integrations** | Not enough data | 9.1 (72 reviews) | 

### Accounting & Finance

| Product | Score | Reviews |
|---|---|---|
| **Pipl** | N/A | N/A |
| **Sift** | N/A | N/A |

#### Agentic AI - Accounting & Finance

| Feature | Pipl | Sift | 
|---|---|---|
| **Autonomous Task Execution** | Not enough data | Not enough data | 

### Financial Fraud Prevention

| Product | Score | Reviews |
|---|---|---|
| **Pipl** | N/A | N/A |
| **Sift** | 8.9/10 | 23 |

#### Transaction Monitoring - Financial Fraud Prevention

| Feature | Pipl | Sift | 
|---|---|---|
| **Payment monitoring** | Not enough data | 9.1 (18 reviews) | 
| **Real-time risk monitoring** | Not enough data | 9.2 (21 reviews) | 
| **Threshold Management** | Not enough data | 9.0 (16 reviews) | 

#### Identity & Authentication - Financial Fraud Prevention

| Feature | Pipl | Sift | 
|---|---|---|
| **Identity Verification** | Not enough data | 8.9 (19 reviews) | 
| **MFA** | Not enough data | 9.2 (16 reviews) | 

#### Behavioral & Analytics Detection - Financial Fraud Prevention

| Feature | Pipl | Sift | 
|---|---|---|
| **Behavioral Analytics** | Not enough data | 8.8 (18 reviews) | 
| **Bot Detection** | Not enough data | 8.6 (16 reviews) | 

#### Audit & Compliance - Financial Fraud Prevention

| Feature | Pipl | Sift | 
|---|---|---|
| **Audit Trail** | Not enough data | 8.2 (15 reviews) | 
| **Reporting** | Not enough data | 8.7 (19 reviews) | 

### E-commerce Fraud Protection

| Product | Score | Reviews |
|---|---|---|
| **Pipl** | N/A | N/A |
| **Sift** | 8.8/10 | 283 |

#### Intelligence

| Feature | Pipl | Sift | 
|---|---|---|
| **Transaction Scoring** | Not enough data | 8.9 (259 reviews) ✓ Verified | 
| **Risk Assessment** | Not enough data | 9.0 (265 reviews) ✓ Verified | 
| **Intelligence Reporting** | Not enough data | 8.8 (251 reviews) ✓ Verified | 
| **ID Analytics** | Not enough data | 8.7 (252 reviews) ✓ Verified | 

#### Detection

| Feature | Pipl | Sift | 
|---|---|---|
| **Fraud Detection** | Not enough data | 9.0 (264 reviews) ✓ Verified | 
| **Alerts** | Not enough data | 8.6 (241 reviews) ✓ Verified | 
| **Real-Time Monitoring** | Not enough data | 8.9 (257 reviews) ✓ Verified | 

#### Response

| Feature | Pipl | Sift | 
|---|---|---|
| **Device Tracking** | Not enough data | 8.8 (258 reviews) ✓ Verified | 
| **Fraud Markers** | Not enough data | 8.9 (255 reviews) ✓ Verified | 
| **Blacklisting** | Feature Not Available | 8.8 (249 reviews) ✓ Verified | 
| **Bot Mitigation** | Feature Not Available | 8.3 (227 reviews) | 

---
## Categories
**Shared Categories (2):** [Fraud Detection Software](https://www.g2.com/categories/fraud-detection), [E-commerce Fraud Protection Software](https://www.g2.com/categories/e-commerce-fraud-protection)


**Unique to Sift (2):** [Risk-Based Authentication Software](https://www.g2.com/categories/risk-based-authentication-rba), [Financial Fraud Prevention](https://www.g2.com/categories/financial-fraud-prevention)


---
## Reviewer Demographics

### By Company Size

| Segment | Pipl | Sift | 
|---|---|---|
| **Small-Business** | 50.0% | 16.0% | 
| **Mid-Market** | 31.0% | 56.8% | 
| **Enterprise** | 19.0% | 27.2% | 

### By Industry

#### Pipl

- **Retail:** 9.5%
- **Staffing and Recruiting:** 7.1%
- **Financial Services:** 7.1%
- **Information Technology and Services:** 7.1%
- **Law Enforcement:** 7.1%
- **Computer Software:** 4.8%
- **Consumer Goods:** 4.8%
- **Human Resources:** 4.8%
- **Insurance:** 4.8%
- **Internet:** 4.8%
- **Other:** 38.1%

#### Sift

- **Financial Services:** 35.4%
- **Information Technology and Services:** 5.8%
- **Consumer Services:** 5.5%
- **Apparel & Fashion:** 4.4%
- **Leisure, Travel & Tourism:** 3.4%
- **Retail:** 3.1%
- **Computer & Network Security:** 2.6%
- **Internet:** 2.4%
- **Banking:** 2.4%
- **Security and Investigations:** 2.4%
- **Other:** 32.7%

---
## Alternatives

### Alternatives to Pipl

- [Signifyd](https://www.g2.com/products/signifyd/reviews) — 4.6/5 stars (352 reviews)
- [Mastercard Identity Review 360](https://www.g2.com/products/mastercard-identity-review-360/reviews) — 4.6/5 stars (70 reviews)
- [SEON](https://www.g2.com/products/seon/reviews) — 4.6/5 stars (386 reviews)
- [Fingerprint](https://www.g2.com/products/fingerprintjs-fingerprint/reviews) — 4.7/5 stars (424 reviews)
- [Chargeflow](https://www.g2.com/products/chargeflow-inc-chargeflow/reviews) — 4.7/5 stars (276 reviews)
- [Trulioo](https://www.g2.com/products/trulioo/reviews) — 4.4/5 stars (40 reviews)
- [Wyllo](https://www.g2.com/products/wyllo/reviews) — 4.7/5 stars (260 reviews)
- [Riskified](https://www.g2.com/products/riskified/reviews) — 4.4/5 stars (227 reviews)
- [iDenfy](https://www.g2.com/products/idenfy/reviews) — 4.9/5 stars (237 reviews)
- [ClearSale](https://www.g2.com/products/clearsale/reviews) — 4.7/5 stars (206 reviews)

### Alternatives to Sift

- [Kount](https://www.g2.com/products/kount/reviews) — 4.8/5 stars (116 reviews)
- [SEON](https://www.g2.com/products/seon/reviews) — 4.6/5 stars (386 reviews)
- [Signifyd](https://www.g2.com/products/signifyd/reviews) — 4.6/5 stars (352 reviews)
- [Riskified](https://www.g2.com/products/riskified/reviews) — 4.4/5 stars (227 reviews)
- [Fingerprint](https://www.g2.com/products/fingerprintjs-fingerprint/reviews) — 4.7/5 stars (424 reviews)
- [ClearSale](https://www.g2.com/products/clearsale/reviews) — 4.7/5 stars (206 reviews)
- [Wyllo](https://www.g2.com/products/wyllo/reviews) — 4.7/5 stars (260 reviews)
- [Cisco Duo](https://www.g2.com/products/cisco-duo/reviews) — 4.5/5 stars (518 reviews)
- [LastPass](https://www.g2.com/products/lastpass/reviews) — 4.5/5 stars (2056 reviews)
- [1Password](https://www.g2.com/products/1password/reviews) — 4.6/5 stars (1807 reviews)

---
## Top Discussions

### Pipl

- Title: [in what region where do you find pipl most efective](https://www.g2.com/discussions/37682-in-what-region-where-do-you-find-pipl-most-efective) — 2 comments, 1 upvote
  > **Top comment:** "United States
Canada
India"

### Sift

- Title: [How does Sift use machine learning to adapt to evolving fraud patterns?](https://www.g2.com/discussions/how-does-sift-use-machine-learning-to-adapt-to-evolving-fraud-patterns) — 1 comment, 1 upvote *(includes official response)*
  > **Top comment:** "Sift’s machine learning approach is built around real-time risk evaluation, network intelligence, and continuous model refinement. Sift uses custom,..."
- Title: [How does Sift help detect and prevent account takeover attempts?](https://www.g2.com/discussions/how-does-sift-help-detect-and-prevent-account-takeover-attempts) — 1 comment, 1 upvote *(includes official response)*
  > **Top comment:** "Sift’s Account Defense solution helps businesses detect and prevent account takeover by analyzing login and account activity with AI-powered insights,..."
- Title: [How does Sift help businesses protect the full customer journey from fraud?](https://www.g2.com/discussions/how-does-sift-help-businesses-protect-the-full-customer-journey-from-fraud) — 1 comment, 1 upvote *(includes official response)*
  > **Top comment:** "Sift protects the full customer journey rather than a single fraud moment in isolation. The Sift platform spans account creation, login, transaction and..."
- Title: [How does Sift help reduce friction for trusted users while maintaining security?](https://www.g2.com/discussions/how-does-sift-help-reduce-friction-for-trusted-users-while-maintaining-security) — 1 comment, 1 upvote *(includes official response)*
  > **Top comment:** "Sift reduces friction for trusted users by applying the right level of intervention based on risk. As users move through the journey, Sift evaluates each..."
- Title: [What is Sift best used for?](https://www.g2.com/discussions/what-is-sift-best-used-for) — 1 comment, 1 upvote *(includes official response)*
  > **Top comment:** "Sift is best used by digital businesses that need to manage fraud across account creation, login, payments, and post-transaction activity in one platform...."

---
**Source:** [G2.com](https://www.g2.com) | [Comparison Page](https://www.g2.com/compare/pipl-vs-sift-s-ai-powered-fraud-decisioning-platform-sift)