Campaign Optimizer
Optimizes multi-channel campaign performance
Monitor campaign performance, reallocate budget to winners, optimize messaging
Campaign optimization is manual and slow, causing budget waste on underperforming channels. Marketing teams lack real-time visibility into which tactics work best, so they continue funding mediocre campaigns. This agentic workflow monitors multi-channel campaign performance in real-time (email, ads, social, events), calculates ROI by channel and creative variant, reallocates budget from underperformers to top performers, tweaks messaging based on what resonates, and A/B tests creative variations. The system continuously improves campaigns instead of letting them stagnate. Enterprises implementing campaign optimization see 20-30% increase in campaign ROI, 15% reduction in cost per acquisition, and 40% faster iteration cycles. All B2B industries benefit from real-time optimization.
Agent Architecture
Orchestrator monitors campaigns and reallocates budget dynamically.
Campaign Optimizer
Optimizes multi-channel campaign performance
Performance Monitor
Monitors real-time campaign performance
Budget Allocator
Reallocates budget to top performers
Variation Tester
Tests message and creative variations
Monitor campaign performance across channels
Calculate ROI by channel
Identify underperformers
Reallocate budget
Test message variations
Scale winning tactics
Click any KPI to view detailed measurement guidance, formulas, and typical ranges.
Capture all agent interactions (prompts, outputs, data sources accessed) in a central, searchable system
Central inventory of all agents with metadata: owner, purpose, data sources, risk level, users
Regularly test agents for vulnerabilities (jailbreaks, prompt injection, data exfiltration attempts)
These controls help ensure secure, compliant, and auditable AI operations. High-priority controls are critical for production deployment.
AI generating false or fabricated information presented as fact
AI using outdated data that no longer reflects current reality
Inability to verify or cite the original sources of AI-generated information
Lack of proper consent for recording, storing, or processing user interactions
Risks associated with external vendors processing sensitive data
Malicious manipulation of AI behavior through crafted input prompts
These risks should be mitigated through proper governance controls and operational procedures.
Curate target accounts using intent, personalize at scale, coordinate multi-channel outreach
Generate ad variations, run tests, scale winners
Track journeys across channels, attribute revenue to touchpoints, calculate ROI
Explore assistive AI tools that Marketing teams use to augment these agentic workflows.
Scaling AI across marketing? Olakai measures the business impact of every AI agent and tool your team deploys.
Schedule a Demo