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Antifraud algorithms empowered by machine-learning help to cut fraud conversions
http://fraudscore.mobi
At some point of time fraudsters can fool tracking partner and get paid for
fake installs or conversions
Advertising (affiliate) network
advertiser advertiser advertiser
sub1 sub2 sub3 sub4 sub5
Affiliate (advertising) networks work with dozens of partners
http://fraudscore.mobi
Top countries with detected fraud installs
http://fraudscore.mobi
$350 Million
advertisers will pay for fraud installs in 2016
source : Appsfyer
Equals $ 1 000 000 for fraud every day
http://fraudscore.mobi
Key indicators of fraud in mobile CPA campaigns
● Installs from the same IP address, network type
● Dominating volume of installs from one device
model
● Super high click-to-install conversions
● Fake unique device identifiers
● Odd timing of installs (night, specific hours, etc.)
● Installs from outdated OS versions
● Jailbreak devices installs
● + 40 more...
http://fraudscore.mobi
What we do?
http://fraudscore.mobi
FraudScore uses 50+ parameters to identify fraud
X
X
http://fraudscore.mobi
We analyze advertising
campaigns
CPI CPA CPL
http://fraudscore.mobi
You save money by
cutting fraud conversions
You no longer pay for fraud
http://fraudscore.mobi
You build trust to
your brand & company
Advertisers don’t like fraudsters
http://fraudscore.mobi
How to protect
from paying for fake installs or conversions?
http://fraudscore.mobi
- csv import/export
- S2S Integration (any platform)
examples - Hasoffers, CAKE, Affise, etc.
- Direct Integration with Adjust, AppsFlyer...
How to protect
http://fraudscore.mobi
http://fraudscore.mobi
http://fraudscore.mobi
30 000 conversions
$ 0.02 per extra conversion
100 000 conversions
$ 0.01 per extra conversion
250 000 conversions
$ 0.008 per extra conversion
Choose your package or request custom
http://fraudscore.mobi
FraudScore customers
Our clients:
http://fraudscore.mobi
Dmitry Isakov
sales@fraudscore.mobi
Request free demo tour now
http://fraudscore.mobi

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