Funding
Funding not disclosed
Founders
Product
Problem
Supply-Side Platforms (SSPs) face challenges in maximizing auction win rates and optimizing profit margins on programmatic advertising bids. This can lead to missed revenue opportunities and reduced profitability in a competitive digital advertising landscape.
Solution
AdGoat provides an AI-powered Dynamic Margin Optimization (DMO) platform specifically designed for SSPs to enhance their auction performance. The DMO system analyzes over 150 parameters daily, dynamically adjusting bid weights to increase auction win rates and boost net revenue and margins on every impression. This solution offers a customizable approach, allowing SSPs to prioritize objectives such as maximizing net revenue, gross revenue, or win rate. Integration is designed to be seamless with minimal performance overhead, ensuring a smooth adoption process.
Target Audience
The primary customers are Supply-Side Platforms (SSPs) seeking to improve their auction win rates and increase profitability in the programmatic advertising ecosystem.
Features
- AI-driven Dynamic Margin Optimization (DMO) for programmatic bid strategies.
- Customizable objective setting: Maximize Net Revenue, Gross Revenue, Win Rate, or custom targets.
- Daily analysis of over 150 parameters to dynamically recalibrate bid weighting.
- Bid optimization delivered with sub-5ms latency for minimal impact on auction performance.
- Data ingestion via CSV, BigQuery, S3, or API integration.
- Performance guarantee with a full refund if no measurable uplift is observed within three months.
- Google Certified Publishing Partner and MCM Partner status.