Case Study
A mid-size Japanese e-commerce company running Google Ads, TikTok, and Meta campaigns discovered that 2.3% of their ad traffic was bots — over ¥2 million a month in wasted clicks.
2M+
Clicks analyzed
2.3%
Bot traffic detected
8,500+
Bot IPs auto-excluded
¥2.1M
Monthly savings (est.)
The client operates two e-commerce brands with a combined monthly ad spend exceeding ¥5M across Google Ads, TikTok Ads, Meta Ads, and Yahoo Ads.
They suspected click fraud but had no way to measure it. Their Google Ads reports showed high click volumes but declining conversion rates — a classic sign of bot traffic.
Before AdFraud Shield
5-minute setup
A single JavaScript tag was added to both e-commerce sites. No code changes, no developer needed.
Multi-layer deep analysis
Every visitor is scored across multiple independent signals — Canvas/WebGL fingerprinting, behavioral analysis, datacenter-IP detection, and invisible honeypots among them — that headless bots can't fake by spoofing a User-Agent or rotating IPs.
Automatic IP exclusion
Detected bot IPs are automatically pushed to Google Ads exclusion lists every hour. The top 500 highest-risk IPs are always excluded.
Cross-platform protection
FraudVisit events are automatically sent to TikTok, Meta, and Yahoo pixels for audience-based exclusion.
99%+
Detection accuracy
¥70K
Saved per day
4
Platforms protected
In the first month, AdFraud Shield analyzed over 2 million clicks and identified that 2.3% were fraudulent. At an average CPC of ¥45, this translated to approximately ¥70,000 per day — about ¥2.1 million per month — in wasted ad spend that is now being automatically blocked.
Traditional detection
IP blacklists + User-Agent string matching
Modern bots use residential proxies and rotate User-Agent strings. They look identical to real users at the surface level.
AdFraud Shield
Canvas/WebGL fingerprint + behavioral analysis + datacenter IP
Bots can rotate IPs and spoof a User-Agent — but they can't fake a headless browser's Canvas/WebGL fingerprint or its behavioral patterns. We score those on every visit, so a zero-day bot on a fresh residential IP still gets caught.