Which mobile fraud solution is right for you?
summary
Gives concrete numbers (serves over 5 billion ads to 1 million devices, cites 25–30% fraudulent installs worldwide) and practical detection options: ad networks that block postbacks, MMPs with built-in filters, third-party vendors and in-house tools. Explains which KPIs and aggregates matter (advocates publisher-level aggregation), compares prevention tiers (blocked attributions vs suspicious reports), warns about false positives vs negatives, and shows why dynamic thresholds beat static CTR cutoffs — useful if choosing a vendor or asking technical questions.
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chapters (10)
- 0:00Introduction
- 1:38Agenda
- 4:32How is data aggregated
- 5:42Device level reports
- 6:58Prevention detection
- 9:04Dynamic or static thresholds
- 10:08False positives and false negatives
- 10:47Consequences of false positives
- 11:24Two questions to ask
- 12:41How transparent is our methodology
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