Mobile ad fraud is a hidden drain on your app marketing spend. Traffy, a performance marketing agency specializing in mobile anti-fraud, shares strategies to safeguard your ad budget and maximize ROI.
Most advertisers don’t lose money because of weak creatives or poor funnels — they lose it because a significant portion of their in-app traffic is invalid from the very start.
The Scale of the Problem
In Q3 2025, mobile apps experienced approximately 33% IVT (Invalid Traffic), meaning roughly one-third of traffic was fraudulent or invalid. (Source: Pixalate — Q3 2025 Global Ad Fraud Benchmark Report).
These numbers aren’t just statistics — they reveal that a huge portion of advertising budgets is being spent not on real users, but on fake traffic, fabricated clicks, and bot-generated installs.
Depending on traffic sources and buying models, particularly in programmatic (DSP) environments, fraud levels can vary dramatically. In some cases, IVT may be as low as 5%, while in others it can exceed 50% where controls are weak. This means many advertisers are making campaign decisions based on data that was never real to begin with.
What IVT Really Means — And Why It’s Critical
IVT isn’t just “low-quality traffic.” It is traffic that can never convert into a real user or paying customer.
It includes:
- Bots and automated scripts
- Click farms and device emulators
- Hidden impressions and background clicks
- Fabricated installs and in-app events
When 33% of traffic is IVT, every third dollar spent is paying for actions that will never generate revenue. Multiple studies show IVT in mobile advertising frequently exceeds 20–30%, and can be even higher for certain platforms, GEOs, or traffic types. Fraud is not an edge case — it is a structural risk in in-app advertising.
Why Mobile Ad Fraud Is Getting Smarter
Despite widespread adoption of anti-fraud systems, techniques continue to evolve. Basic bot filtering is no longer enough. Common schemes include:
- Bot Installs & Bot Activity: Automated installs and simulated engagement mimicking real users.
- Click Injection / Click Hijacking: Apps intercept last clicks before installation and claim attribution.
- Click Spamming / Click Flooding: Mass fake clicks inflate activity signals and steal organic installs.
- Device Farms & Real Device Spoofing: Hundreds of devices generate fake installs and events, rotating identifiers.
- SDK Spoofing & Postback Fraud: Fake install or in-app event data sent directly to attribution systems.
- In-App Event Spoofing: Fabricated postbacks make reports appear normal, but no real users exist behind them.
How to Avoid Wasting Your In-App Budget
Fraud prevention is systematic verification and disciplined traffic management, not paranoia.
- Use an MMP With Advanced Anti-Fraud Protection
- Rely on trusted mobile measurement partners (Adjust, AppsFlyer).
- Enable built-in fraud detection — attribution without fraud protection is incomplete.
- Analyze CTIT (Click-to-Install Time)
- Extremely short CTIT → potential click injection
- Extremely long/uniform CTIT → potential click flooding
- Unnaturally consistent timing → possible automation
- Monitor CTCT (Click-to-Click Time)
- Short CTCT (<100 ms) detects script bots and click farms
- Check New Device Rate
- If 90%+ of devices are “new,” this indicates device farms resetting IDFA/GAID
- Track Assisted Installs
- High percentage of assists → organic hijacking (Click Flooding)
- Monitor Behavioral Anomalies
- Retention curves: bots may fabricate “perfect” retention
- Payments and cards: bots use virtual cards or $0 balances to bypass checks
- Key metrics: rebill rate, actual payment success
- Additional metrics: event depth, session duration, purchase timing, LTV distribution
- Work With Blacklists and Whitelists
- Build placement-level blacklists
- Identify reliable publishers via whitelists
- Audit sub-publishers continuously
- Remove suspicious sources early
- Check Infrastructure Signals
- Datacenter IPs (AWS, DigitalOcean, Hetzner) → block 100%
- Geo mismatch (click from India, install from US) → fraud
How to Win Against Fraud
With up to 33% of in-app traffic being invalid, advertisers aren’t just underperforming — they’re paying for illusions. Fraud can masquerade as growth, but the real advantage comes from knowing which traffic is real.
At Traffy, we specialize in mobile anti-fraud and help advertisers ensure every dollar reaches real users. A comprehensive fraud audit or traffic safeguard can protect ROI, reduce wasted spend, and provide predictable, scalable growth.
