fraudscore.ai

What It Is

FraudScore is an ad fraud prevention and traffic quality detection platform designed to help mobile advertisers, ad networks, publishers, and agencies identify and reduce budget waste caused by fraudulent installs, conversions, and clicks. It covers multiple stages of the advertising funnel, including impressions, clicks, installs, conversions, and post-install events, with a stronger focus on mobile user acquisition and performance advertising scenarios.

Core Features and Data Capabilities

Based on the available content, FraudScore’s core value lies in evaluating ad traffic quality and supporting rejection workflows. The platform can detect common affiliate fraud patterns such as ClickSpam, VPN and proxy traffic, duplicate IPs, and incentivized traffic. It also emphasizes the use of machine learning to identify traffic patterns rather than relying solely on traditional rule-based detection. Its Dashboard provides a quick view of anomalies across Campaigns and helps identify offers and affiliates with higher fraud levels. The Offers & Affiliates Report supports filtering, slicing, drill-down analysis, and chart-based visualization. Each rejected conversion comes with a relatively transparent reason, making it useful when communicating with traffic sources.

Integrations, Platforms, and Support

FraudScore explicitly supports both mobile and desktop traffic and is compatible with Adjust and Appsflyer 360 Rejections, which is important for teams using mainstream mobile attribution platforms. The content also mentions fast integration with popular Adtech platforms and an API for connecting internal systems. In terms of service support, FraudScore provides workshops for UA and analytics teams, personal training, and assistance with communicating rejection workflows to partners. This can be especially helpful for teams with limited anti-fraud experience.

Pricing and Trial

The page includes a Pricing entry and references categories such as Conversions & Installs and Clicks, suggesting that billing may be based on event dimensions such as clicks, installs, or conversions. However, the crawled content does not disclose specific prices, plans, minimum spend, payment methods, or free trial policies. It only provides a Request a DEMO option, so buyers should contact the vendor for a quote and confirm the contract term before procurement.

Pros, Cons, and Best Fit

Its strengths are its relatively complete funnel coverage: it can handle click-level anomalies while also analyzing installs and downstream events. Its reporting is fairly explanatory, making it suitable for rejection negotiations, and it is friendly to Adjust and AppsFlyer users. The drawbacks are that publicly available information lacks details on data scale, detection accuracy, quantified customer case studies, and pricing transparency. FraudScore is better suited for mobile app growth teams, ad networks, and agencies with ongoing advertising budgets, reliance on affiliates or ad networks for acquisition, and a need to control the cost of invalid conversions.

Access from China and Alternatives

The available content does not provide information on access from mainland China, Chinese-language support, RMB payments, or local compliance, so china_access can only be considered unknown. Domestic teams considering procurement should focus on testing website and console connectivity, API latency, attribution platform integrations, and payment methods. Comparable alternatives include AppsFlyer Protect360, Adjust Fraud Prevention, TrafficGuard, CHEQ, and Singular Fraud Prevention.