As media continues to splinter and user attention fragments across devices, finding your target audiences cost-efficiently and at scale becomes increasingly difficult. Demands for increased transparency, and more thoughtful consumer privacy, along with persistent concerns around fraud, viewability, attribution, and data only add complexity and confusion to the media buying process.
Case Study: Combatting the Shift to 1st Price Auctions with Optimal Price Discovery
IPONWEB’ Optimal Price Discovery solution helped a full-service digital agency specialising in performance marketing mitigate the cost impact of shifting or undeclared programmatic auction dynamics. This machine learning-powered technology makes real-time predictions to determine the optimal clearing price for a given impression opportunity, while still preserving or even increasing campaign delivery and performance across campaigns.
18% Reduction in media costs across all SSPs 39% Decreasein Cost-per-Acquisition 4X Growth in overall programmatic ad Spend 6X Growth in number of conversions generated
NEWS & INSIGHTS
20 August 2020
Use of in-house programmatic trading desks has quadrupled since 2016
26 May 2021
How a year of WFH is driving a CTV revolution
10 May 2021
What publishers need to measure for healthy header bidding
12 April 2021
Four Ways Publishers Can Use Data to Get Closer to Buyers
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