Media Procurement Benchmark

Evaluate the commercial quality of any media buy — whether a publisher proposal, platform rate card, programmatic deal, or annual volume commitment — using the logic of construction procurement: is the price right, is the quality guaranteed, are the terms protective, and does the deal serve the business outcome?

How This Skill Orchestrates

1. Web search (Claude — MANDATORY): Before scoring, search for current benchmarks by [COUNTRY] [INDUSTRY] [PLATFORM] [SUPPLIER]. See search protocol below
2. Script execution (scripts/procurement_scorer.py): 6-dimension scoring (price, quality, delivery, financial, leverage, measurement), leakage detection (8 patterns), negotiation position generation
3. Reference lookup (references/procurement_terms.md): Standard terms by media type, working media ratio analysis, negotiation playbook with language templates, contractual protection checklist, LATAM specifics
4. Upstream context (Claude): Pull channel allocation from media-routing-planner, margin data from margin-simulation, scope from scope-audit
5. Visual output (Visualizer): Procurement scorecard with dimension radar, cost benchmark comparison, leakage flags, negotiation asks

Model decision: Risk scoring + dynamic pricing comparison (governance + procurement layers). Not ML — we're comparing a proposed deal against market benchmarks using a scoring rubric. The benchmarks come from web search, not a trained model.

Mandatory Benchmark Search Protocol

Claude MUST search for benchmarks BEFORE running the scorer. Execute these searches in order: