AI Campaign Recovery Agent
## Solution A sophisticated multi-agent system rapidly diagnoses campaign performance issues through coordinated analysis of creative fatigue, audience saturation, bidding inefficiencies, and budget misallocation. Agents collaborate through visible chain-of-thought reasoning, reach consensus on root causes, and execute recovery actions with real-time monitoring and autonomous optimization capabilities.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Campaign Health Dashboard with 1K campaigns monitored, 23 at-risk alerts, and 87% overall health score.
AI Diagnosis screen identifying Creative Fatigue as root cause with 91% confidence and contributing factors.
Campaign Recovery Successful showing ROAS improved from 1.8x to 2.47x with $180K revenue recovered.
Recovery Results with 37% improvement, performance metrics comparison, and AI Learnings for similar campaigns.
AI Agents
Specialized autonomous agents working in coordination
Campaign Orchestrator Agent
## Purpose Coordinates the multi-agent campaign recovery workflow, managing agent initialization, task delegation, collaboration sessions, and execution oversight.
Core Logic
## Approach Initializes specialized agents with campaign context, delegates diagnostic tasks based on agent capabilities, facilitates multi-agent collaboration sessions for complex issues, synthesizes agent findings into unified diagnosis and execution plans, and oversees phased recovery execution with progress monitoring. Tracks comprehensive processing stats including agent usage, tool calls, tokens consumed, and collaboration sessions.
Anomaly Detector Agent
## Purpose Identifies performance anomalies across campaign metrics, detects degradation patterns, and triggers appropriate investigation workflows.
Core Logic
## Approach Monitors real-time metrics for ROAS, CTR, CPA, conversion rate, and engagement with anomaly scoring. Compares current performance against historical baselines and target objectives, categorizes anomalies by severity and urgency, and generates initial diagnostic hypotheses with confidence levels. Provides early warning signals for emerging issues before they become critical.
Creative Analyst Agent
## Purpose Analyzes creative asset performance, identifies fatigue patterns, and recommends rotation or refresh strategies to restore engagement.
Core Logic
## Approach Evaluates individual creative performance trends (improving, stable, declining) across video, image, carousel, and native formats. Identifies fatigued assets showing declining CTR or engagement, analyzes creative-audience match quality, and recommends rotation strategies, refresh priorities, or new creative development. Considers frequency impact and cross-creative cannibalization.
Audience Optimizer Agent
## Purpose Optimizes audience targeting by identifying saturated segments, underutilized opportunities, and optimal budget allocation across audience cohorts.
Core Logic
## Approach Analyzes audience segment performance including size, reach percentage, frequency, and conversion rate. Identifies saturated segments where frequency exceeds optimal thresholds, discovers underutilized high-potential segments, and recommends budget reallocation across audience cohorts. Evaluates lookalike expansion opportunities and audience overlap issues.
Budget Strategist Agent
## Purpose Optimizes budget allocation, pacing strategies, and bidding approaches to maximize campaign ROI within defined constraints.
Core Logic
## Approach Analyzes budget utilization across channels, placements, and dayparts. Identifies misallocated spend to underperforming segments, recommends budget rebalancing based on marginal performance analysis, optimizes pacing strategies to avoid end-of-flight rushing or underspend, and adjusts bidding strategies based on competitive dynamics and conversion probability.
Execution Engine Agent
## Purpose Implements approved recovery actions through platform APIs with monitoring, validation, and rollback capabilities.
Core Logic
## Approach Executes recovery actions including bid adjustments, budget reallocations, creative rotations, audience expansions, and frequency cap modifications. Implements changes through phased deployment with real-time performance monitoring, validates success criteria before proceeding to next phase, and maintains rollback capability for each action. Provides comprehensive audit trail with timestamps, actions, and outcomes.
Predictive Intelligence Agent
## Purpose Provides ML-powered performance forecasts, fatigue predictions, saturation warnings, and opportunity detection to enable proactive campaign management.
Core Logic
## Approach Generates multi-horizon performance forecasts with confidence intervals and scenario comparisons (current, optimized, aggressive, conservative). Predicts creative fatigue before CTR degradation, warns of audience saturation approaching, detects emerging opportunities in audience or placement performance, and provides probability-weighted recommendations with time-to-event estimates.
Privacy Guardian Agent
## Purpose Ensures campaign targeting and data usage comply with privacy regulations (GDPR, CCPA) and supports Privacy Sandbox transition for cookieless advertising.
Core Logic
## Approach Monitors privacy compliance across consent management, data retention, user rights, cross-border transfers, and vendor compliance. Tracks Privacy Sandbox signal adoption including Topics API, Protected Audience, and Attribution Reporting coverage. Measures cookieless readiness and first-party vs third-party data usage balance, and recommends privacy-preserving targeting strategies.
Cross-Channel Optimizer Agent
## Purpose Optimizes performance across CTV, display, video, native, audio, DOOH, social, search, and retail media channels through unified analysis and budget coordination.
Core Logic
## Approach Analyzes channel-level performance with ROAS, contribution, and incrementality metrics. Identifies channel synergies where combined exposure lifts performance, implements data-driven attribution modeling across touchpoints, and recommends cross-channel budget shifts, timing synchronization, creative alignment, and audience coordination strategies.
AI Decision Engine
## Purpose Provides autonomous optimization with configurable human-in-the-loop controls, guardrails, and learning capabilities for continuous improvement.
Core Logic
## Approach Operates in autonomous, supervised, or manual modes based on decision category and confidence thresholds. Applies guardrails for budget limits, ROAS floors, CPA ceilings, frequency caps, and brand safety. Tracks decision outcomes to continuously improve accuracy, maintains learning metrics with trend analysis, and supports human override with reasoning capture for model improvement.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
7 technologies
Architecture Diagram
System flow visualization