Scibids AI can now power more granular optimization and ad decisioning that does not require user tracking and profiling
AT&T’s ad division Xandr, and Scibids have partnered to deploy Scibids AI within Xandr’s Invest DSP using Xandr’s Data Science Toolkit, allowing buyers to activate Scibids’ customizable, privacy-centric ad decisioning.
“Together with our customers, Xandr has pioneered custom bidding strategies and advanced log-level data collaborations that power some of the most innovative and sophisticated buying strategies. Now the market is more mature, buyers are looking to implement tailored buying strategies to achieve better outcomes, more aligned with their business needs. Whereas historically deploying custom models required in-house data science and engineering expertise, Xandr’s collaboration with Scibids brings custom models to the masses, making it easier for all buyers to implement tailored strategies, regardless of their programmatic maturity,” said Sarah Harms, Group Vice President of Buy-side platform sales, Xandr.
By using Xandr’s Data Science Toolkit, which offers custom bidding and log-level-data, Scibids AI can power more granular optimization and ad decisioning that does not require user tracking and profiling. Advertisers seeking to grow their business on Xandr’s Invest DSP can now easily activate Scibids AI to scale their business objectives in an accountable and measurable manner across paid media channels.
