Control the quality of affiliate traffic
Identify fraudulent affiliate schemes, unscrupulous webmasters, and low-quality traffic
Losses from fraud in affiliate programs can reach millions
Up to 30% of affiliate traffic in the iGaming and betting industry is fraudulent
"Mechanical" Fraud
Artificial creation of leads using anti-detection browsers
Mislead
Intentional attraction of low-quality traffic
Traffic Evaluation Method
C-Score uses a multi-layered analysis of affiliate partners
Detection of Traffic Source Spoofing
The platform detects traffic source spoofing and determines the approximate volume by analyzing key digital parameters
Evaluation of the quality of the traffic stream and source
Identification of low-quality traffic
Determination of risky affiliates
Detection of Partner Multi-Accounts
Detection of multi-accounts without using personal data of webmasters, based on technical data, device fingerprints, and referrer analysis
Identification of partner multi-accounts
Identification of connections between affiliated partners
Analysis of the digital footprint of partner devices
Comprehensive Evaluation of Affiliate Partner Traffic
The platform reports at an early stage whether the traffic is targeted and has the potential to be profitable
Formation of a Social Rate at the level of the traffic stream and the affiliated partner as a whole
Identification of fraudulent activity at the stream level
Early detection of mislead
Convenient Control and Navigation
Accessible and understandable traffic analysis at the levels of affiliated partners and traffic streams
Grouping by affiliated partners
Grouping by traffic streams
Visualization of general parameters and criteria
Traffic Evaluation Method
C-Score uses a multi-layered analysis of affiliate partners
Detection of Traffic Source Spoofing
The platform detects traffic source spoofing and determines the approximate volume by analyzing key digital parameters
Evaluation of the quality of the traffic stream and source
Identification of low-quality traffic
Determination of risky affiliates
Detection of Partner Multi-Accounts
Detection of multi-accounts without using personal data of webmasters, based on technical data, device fingerprints, and referrer analysis
Identification of partner multi-accounts
Identification of connections between affiliated partners
Analysis of the digital footprint of partner devices
Comprehensive Evaluation of Affiliate Partner Traffic
The platform reports at an early stage whether the traffic is targeted and has the potential to be profitable
Formation of a Social Rate at the level of the traffic stream and the affiliated partner as a whole
Identification of fraudulent activity at the stream level
Early detection of mislead
Convenient Control and Navigation
Accessible and understandable traffic analysis at the levels of affiliated partners and traffic streams
Grouping by affiliated partners
Grouping by traffic streams
Visualization of general parameters and criteria
We prove the effectiveness with real data
85%
reduction in the volume of affiliate fraud
> 30%
average reduction in the budget for paying fraudulent partners
30%
more quality players
Protect your business. Learn more about the capabilities of C-SCORE.
Identify fraudsters at any level when working with partner and organic traffic sources
