As mobile advertising budgets for app install ads scale into the billions of dollars, fraud becomes an increasingly complex and sophisticated issue. Business Insider recently reported that fraud could cost app marketers up to $350 million. 

Sift’s platform uses advanced machine-learning algorithms to automatically optimize campaign performance for conversion rate and click-to-install time, as well as offers full support for whitelisting and blacklisting of specific app bundles. Sift’s platform monitors conversion rates in realtime for each campaign and algorithm, automatically optimizing campaigns across inventory sources to improve conversion rate. In addition, Sift’s platform monitors the click-to-install time distribution in realtime for each campaign and algorithm, automatically optimizing campaigns to pause ad spend on inventory where the CTI time distribution is not normal. For example, no installs should come in less than 10 seconds from the click, and the vast majority of installs should come in within 24 hours. Since Sift’s platform runs ads across more than 400k mobile apps, Sift also offers full support for whitelisting and blacklisting specific app bundles to help optimize campaign performance for our advertisers.

Normal click-to-install time distribution

Normal click-to-install time distribution