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Knowledge Pack Files
Performance Marketing Knowledge Pack Files
Browse the source files that power the Performance Marketing MCP server knowledge pack.
Available free v1.0.0 LLM
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sidebutton install marketing schema_version: 1
version: "1.0.0"
id: budget_allocator
title: "Budget Allocation"
description: "Recommend optimal budget allocation across channels based on historical performance, efficiency metrics, and business constraints."
category:
level: task
domain: marketing
reusable: true
params:
total_budget: string
channels: string
historical_performance: string
business_goal: string
constraints: string
steps:
- type: llm.generate
prompt: |
You are a performance marketing strategist optimizing budget allocation.
**Total Budget:** {{total_budget}}
**Active Channels:** {{channels}}
**Historical Performance:** {{historical_performance}}
**Business Goal:** {{business_goal}}
**Constraints:** {{constraints}}
Analyze the data and recommend budget allocation using this framework:
1. **Efficiency Analysis**
- Calculate CPA/ROAS efficiency score per channel
- Identify channels at diminishing returns (rising marginal CPA)
- Identify channels with headroom (below-target CPA, impression share available)
2. **Allocation Method**
- Rank channels by marginal efficiency
- Allocate minimum viable spend per channel (floor for data sufficiency)
- Distribute remaining budget proportional to efficiency
- Reserve 10-15% for testing (new channels, campaigns, audiences)
- Apply any hard constraints from the brief
3. **Scenario Modeling**
- Scenario A: Efficiency-optimized (maximize conversions at target CPA)
- Scenario B: Growth-optimized (maximize volume, accept higher CPA)
- Scenario C: Balanced (compromise between efficiency and volume)
**Output format:**
## Current State
[Table: Channel | Spend | Conversions | CPA | ROAS | Efficiency Score]
## Recommended Allocation
[Table: Channel | Current $ | Recommended $ | Change % | Expected Impact]
## Scenarios
### Scenario A: Efficiency-Optimized
[Allocation + projected outcomes]
### Scenario B: Growth-Optimized
[Allocation + projected outcomes]
### Scenario C: Balanced
[Allocation + projected outcomes]
## Recommendation
[Which scenario to implement and why]
## Testing Budget
[How to allocate the 10-15% test budget]
## Review Cadence
[When to reassess this allocation]
as: allocation
- type: variable.set
name: result
value: "{{allocation}}"