Competition-Aware Request Dispatch Boosts RTB Ad Revenue by 4.6%
An arXiv paper (2608.03705) introduces a novel framework for real-time bidding (RTB) ad exchanges that tackles the problem of inefficiently forwarding most incoming requests to demand-side platforms (DSPs), where only a small percentage actually receive bids. This excessive distribution diminishes auction performance since DSPs limit their participation due to computational and budgetary restrictions. The suggested competition-aware request dispatch framework employs distributional bid prediction and probabilistic forwarding to determine which requests to send to each DSP, adjusting per-DSP thresholds over time via lightweight policy optimization to respond to changing market conditions. In four sequential online experiments on a platform handling over 20 billion requests daily, a complete multi-DSP deployment led to a 34.2% reduction in DSP request volume and a 4.6% increase in net revenue (p<0.001) over a recent 14-day period. The authors are not mentioned in the text, but the framework could significantly enhance efficiency and revenue in programmatic advertising, vital for the digital art market and online art sales.
Key facts
- arXiv paper 2608.03705 presents a competition-aware request dispatch framework for RTB ad exchanges.
- The framework uses distributional bid prediction and probabilistic forwarding to decide request dispatch to DSPs.
- It adapts per-DSP thresholds over time via lightweight policy optimization.
- Evaluated through four sequential online experiments on a production platform.
- The platform serves over 20 billion daily requests.
- Full multi-DSP deployment reduced DSP request volume by 34.2%.
- Net revenue increased by 4.6% (p<0.001) in a recent 14-day window.
- The paper is announced as 'new' on arXiv.
Entities
Institutions
- arXiv