Sift

Hyper-targets mobile app install ads by analyzing billions of user profiles and app installs, optimizing campaigns for improved conversion rates and reduced fraud.
Mobile Ad Optimization Ad Targeting Fraud Prevention

Sift is a platform that uses AI and machine learning to optimize mobile app install ads. It processes more than 600,000 bid requests per second from 15 real-time bidding (RTB) exchanges, covering 400,000 Android and iOS apps and 25,000 mobile websites in 100 countries. By analyzing billions of user profiles and app installs, Sift can hyper-target ads for its clients.

Some of the key features include:

  • Scalability: Processes more than 1 trillion mobile ad requests per month.
  • Real-time Decisioning: Picks the best campaign for each user in less than 120 ms, with less than 1% timeout rate.
  • Fraud Prevention: Uses machine-learning algorithms to optimize campaign performance, automatically blocking traffic sources with high rates of rejected postbacks.
  • App Graph: Analyzes app relationships to optimize targeting.

With these features, Sift can help advertisers improve conversion rates, reduce fraud and improve user experience. The platform supports click signing and integration with mobile measurement partners to secure tracking URLs. Sift can cross-reference user profiles and ad requests to deliver targeted ads.

Target use cases include app marketers and advertisers looking to increase the performance of their mobile campaigns. With Sift, customers can expect better campaign performance, reduced fraud and better targeting of ads to the desired audience. The platform is geared for those managing large-scale mobile advertising budgets.

Published on July 3, 2024

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