Campaign ROI Planner
Campaign ROI Planner MCP server computes return on investment for marketing campaigns using inputs like budgets, channels, and projected metrics. It generates forecasts, simulates scenarios, and recommends allocations via API calls. Campaign managers and marketing analysts use it to evaluate strategies programmatically.
Overview
Campaign ROI Planner is an MCP server that enables programmatic ROI analysis for marketing campaigns. Users supply campaign details such as spend, expected conversions, and historical performance data to receive calculated returns, forecasts, and optimization suggestions through structured API responses.
Key Capabilities
The server exposes functions for ROI computation and planning, though specific tool names are not discoverable. Core functions include:
- ROI calculation from cost and revenue inputs (roi_compute equivalent).
- Scenario simulation for varying budgets and channels (scenario_sim equivalent).
- Budget optimization to maximize returns (budget_opt equivalent). These allow integration into AI-driven workflows for repeatable analysis.
Use Cases
- Pre-campaign Planning: Input proposed budgets and channel mixes into the ROI calculator to forecast returns and adjust allocations before launch.
- A/B Testing Evaluation: Run simulations on test campaign variants to compare projected ROI and select top performers.
- Quarterly Review: Analyze past campaign data with optimization functions to refine future spend strategies.
- Cross-channel Allocation: Use budget optimization to redistribute funds from underperforming to high-ROI channels like email or paid search.
Who This Is For
Marketing analysts needing quantitative ROI models, campaign managers evaluating spend efficiency, and developers building AI agents for automated planning. It suits teams integrating campaign data with LLMs for decision support.