Interesting case-study on bot traffic (2)
http://www.slideshare.net/ShailinDha...ication-bubble
http://oxford-biochron.com/
Interesting!
Conclusions from the SlideShare, for anyone looking for a TL
R -
- Leading ad fraud verification vendor Integral Ad Science detected 17% of easy-to-detect bot
traffic mostly coming from hosting company IP addresses
* Moat detection verified 61.7}% of the fake traffic as humans, but was able to identify some of
the data center traffic and still significantly outperformed Integralv\d-Sciences detection
result.
* Da ta Do me detected roughly half of the fake traffic where the traffic was not directly
targeting to pass DataDome’s detection.
* Oxford-BioChronometrics had by far the highest detection rate, at around 90%. where the
traffic was not targeting to pass their detection.
' Ad fraud is very easy to commit, requires very low startup cost and no serious technical
capabilities; anyone can start doing it today.
- Proprietary 3rd-party ad fraud verification solutions alone are not enough for media buyers
to keep their media investment safe from fraud.
- The 100% fraud-free guarantee provided by 3jAcross is only about 17% true, given that
according to comments by the company, the guarantee is solely based on the detection
capability provided by I ntegral Ad Science.
* It is possible that other companies providing similar guarantees to buyers as 33Across is, are
suffering from similar issues, where their customers (media buyers) are suffering significant
losses due to false sense of security.
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