If you're looking for a Demand Side Platform (DSP) that automates machine learning optimization for better ad targeting, uDSP is worth a look. uDSP applies machine learning algorithms to digital marketing and automates media buying with features like cross-channel ad serving, brand safety controls and real-time bidding. It connects to many ad exchanges and supply-side platforms, offering a large pool of ad inventory, and offers detailed reporting and analytics.
Another contender is Moloco, which offers a range of machine learning-based tools for user acquisition and monetization. Its Moloco Cloud DSP is geared for user acquisition and growth, using real-time data to optimize performance and make predictions. The company also offers tools for retailers and streaming video services, making ads more effective and profitable while reducing manual labor.
Zemanta is another multi-channel DSP that uses AI and machine learning to manage programmatic ad campaigns. With features like predictive bidding, advanced optimization tools and Autopilot for automated campaign adjustments, Zemanta is designed to deliver high performance-based results. It supports a range of advertising channels and offers transparent reporting, ensuring ads are placed in brand-safe environments.
Last is AdTheorent, which stands out with a machine learning approach that includes predictive targeting, geo-intelligence and cross-environment mapping. That can help optimize campaigns in many industries, like auto, health and retail, while respecting consumer privacy. AdTheorent's AI-based model creation and real-time pacing analysis makes it a good option for advertisers looking to squeeze as much as possible out of their ad campaigns.