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.
