Ad Fraud

Kuku FM, a leading audio content platform runs a user acquisition campaign to bring new users to their app. However, they notice a high volume of app installs with no conversion (in this case, paid subscription). To solve this, Kuku FM partnered with mFilterIt to validate their ad traffic and filter it to optimize their campaigns better. Download our case study to learn how our solution helped the brand identify suspicious traffic sources and fraudulent techniques used to drain their ad budget and block them to protect their campaigns and attract genuine traffic. Download Submit

In this compelling case study, learn how a leading bank tackled the growing challenge of ad fraud by uncovering significant discrepancies between transaction data reported by its Mobile Measurement Partner (MMP) and its internal backend system. With MMP-reported transactions consistently exceeding the bank’s backend figures by over 50%, it became clear that traditional fraud detection methods were no longer enough to prevent costly inaccuracies and misallocated ad spend.   What you’ll discover in this case study: The limitations of MMP fraud detection and why relying solely on these systems can leave your data vulnerable. How sophisticated bot patterns and event spoofing techniques are evading detection, resulting in inflated metrics. Insights from the bank’s internal audit that revealed key red flags, leading to a broader strategy for improving fraud detection and enhancing transparency. How mFilterIt ad fraud detection addressed these issues to safeguard ad spend and drive more accurate marketing decisions. Download the full case study to see how this financial institution improved its ad fraud detection and regained control over its campaign metrics, paving the way for better-informed decisions and optimized ad spend. Download Submit