Prevent fraud and secure digital trust with AI-powered decisioning
Sift uses AI to detect and stop fraudulent activities in real-time across digital platforms. It helps businesses protect their revenue and build customer confidence by preventing fraud before it causes harm. With automation, companies can scale their fraud prevention efforts efficiently without needing large teams.
Instantly identifies fraudulent patterns using machine learning algorithms
Provides real-time risk assessments for transactions and user actions
Automates fraud prevention to handle high volumes without manual effort
Verifies user identities to enhance security and build digital trust
Protects across account creation, payments, and content interactions
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Recent data shows that Sift has 104.5K monthly visits (4.2% increase from the previous month), 35.0% bounce rate, and average 7.10 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 38% of total traffic. SEO performance is shown by 5 tracked keywords, with "sift" being the top-performing keyword with 30.1K monthly searches. See below for more info.
Monthly Visits
104.5K
Pages per Visit
7.10
Bounce Rate
35.0%
Average Time on Site
7m 9s
| SEO Keyword | Volume | CPC |
|---|---|---|
| sift | 30.1K | $5.73 |
| sift science | 1.2K | $40.70 |
| sift q3 index report | 270 | - |
| sift ai | 880 | - |
| sift careers | 430 | - |
| Source | Traffic Share |
|---|---|
| Direct | 47% |
| Search | 41% |
| Social | 2% |
| Referrals | 8% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 38% |
 | 12% |
 | 8% |
 | 8% |
 | 7% |
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