Intelligent Insights

Fraud Prevention

Keep media budgets focused on quality users with the industry’s leading Fraud Prevention, equipped with always-on fraud detection and more prevention methods than other solutions

Superior protection. No extra charge.

Our fraud prevention suite utilizes all known prevention methods to ensure
maximum protection against existing fraud threats as well as unknown threats to come.
We take a proactive approach to rejecting fraudulent activity and adapt to an
ever-evolving fraud ecosystem.


Consider all detection indicators at the most granular levels, as well as all known protection methods, to automatically reject fraud within predefined thresholds in real time


Prevention methods that leverage trends of various ad fraud signals to adapt as fraud evolves


Visualize and quickly investigate both rejected and suspicious traffic sources, and drill down to the publisher, campaign, geo, and site level


Configure preset rejection rules or create custom rules to automatically reject or flag fraudulent installs


Understand where and how your app is being targeted by fraudsters and see how your ROI is being protected

Rule-based fraud prevention

Singular automatically applies deterministic rules in real-time to block installs before they are attributed. These rules serve as a first-line of defense in the fight against fraud and utilize signals surfaced by the more complex Statistical Methods.


Singular automatically verifies the IP address of every device, uses heuristic rules to identify fraudulent publishers, and maintains a proprietary list of suspicious devices to detect and block fraudulent attributions.

Geographic outliers

The geographic distance between the location of a click and the corresponding install can be an indicator of click spamming. When the distance between a click and an install exceeds a given threshold or is otherwise anomalistic, installs are flagged as geographic outliers and attribution is blocked.


When Singular receives an irregularly high number of clicks from a given source, it can be a sign of click spamming. Therefore, when the number of matching clicks tied to an install exceeds a certain threshold, an attribution is blocked.

Install validation

iOS devices support install receipts which Singular verifies with Apple to ensure the app was actually installed from the App Store on the given device. When a valid install receipt is not detected, the attribution is blocked.

Short time to install (TTI)

When the amount of time between an ad click and the resulting install is irregularly small, it can be a sign that the install was “hijacked” by fraudsters using a click injection scheme. Singular combines this along with other techniques to block the attribution.

Statistical fraud prevention

There are types of fraud that can’t be detected by Rule-Based Methods. Statistical Methods reveal fraud indicators that can only be observed when examining multiple attributions and automatically blacklist the source in the future.

Time to install outliers

Measure click-to-install times across multiple installs within a given source to spot abnormal distributions that indicate a source is sending fraudulent traffic.

Too many new devices

Watch for an abnormally high percentage of installs associated with new devices or devices with Limit Ad Tracking enabled (which masks device-level information) to indicate a fraudulent source.

OS version distribution

Analyze the OS versions of devices that install an app to spot source-level anomalies. For example, an abnormally high count of old devices attributed to a specific source may indicate that a source is leveraging vulnerabilities in outdated devices to engage in fraud.

Ready to get more out of your marketing?