If you want to add AI-powered bidding models to your demand-side platform to improve campaign performance, inPowered is a strong contender. The platform integrates with DSPs and Native Advertising channels, using custom bidding models trained on impression-level data and proprietary engagement data to maximize media performance. Other features include AI-generated creatives and the ability to select desired outcomes such as engagement, leads, conversions, or ROAS, while still maintaining creative control. Real-world case studies have demonstrated substantial improvements in campaign performance, making it a good option for agencies and brands looking to get the most out of their advertising spend.
Another strong contender is uDSP, a Demand Side Platform that uses machine learning algorithms to improve programmatic advertising. uDSP automates media buying for better ad performance, with cross-channel ad serving, brand safety controls, and real-time bidding. Its integration with many ad exchanges, supply-side platforms, and publishers means a massive pool of ad placements across many geographies and digital platforms.
For a more complete solution, check out Smartly. The platform uses AI to automate and optimize campaigns across multiple digital channels, including Meta, Snapchat, Pinterest, TikTok, and Google Marketing Platform. With features like predictive budget allocation, dynamic creative optimization, and actionable insights, Smartly helps agencies and brand marketing teams work more efficiently and effectively.
Last, MediaGo DSP offers intelligent advertising solutions with deep learning technology to maximize ad performance. With the ability to handle more than 500,000 ad requests per second, it creates intelligent bidding strategies in real-time, supporting a wide range of ad formats and offering premium global media. With partnerships with more than 1,000 publishers, MediaGo offers a massive pool of ad placement data, allowing advertisers to increase ROAS, improve conversion rates, and boost sales.