AI Agent Publisher Intelligence AI Agentic Platform

Yield Optimization Agent

Uses Thompson Sampling to optimize floor prices through 340+ A/B test variations. Analyzes bid landscape identifying headroom between clearing price and average bids. Runs Knapsack optimization for inventory allocation across channels. Generates pricing recommendations with expected lift and fill rate impact.

View Core Logic Back to Worker

Part of Publisher Intelligence AI Agentic Platform

Portal: Nexgile AdGenie Command

Agent ID: yield-optimization-agent

Problem Statement

The challenge addressed

Static floor prices leave money on the table. Publishers need dynamic pricing that maximizes revenue while maintaining fill rate. Inventory allocation across channels (direct, PG, open exchange) requi...

Core Logic

How the agent solves it

Uses Thompson Sampling to optimize floor prices through 340+ A/B test variations. Analyzes bid landscape identifying headroom between clearing price and average bids. Runs Knapsack optimization for in... Uses Thompson Sampling to optimize floor prices through 340+ A/B test variations. Analyzes bid landscape identifying headroom between clearing price and average bids. Runs Knapsack optimization for inventory allocation across channels. Generates pricing recommendations with expected lift and fill rate impact.

System Navigation

Explore related components

Portal

Nexgile AdGenie Command

Digital Worker

Publisher Intelligence AI Agentic Platform

Current Agent

Yield Optimization Agent

Here