campaign-analytics

# Campaign Analytics ## Overview Campaign Analytics provides a systematic framework for measuring, diagnosing, and optimizing outbound and inbound campaign performance. The core principle is that campaigns fail at specific layers in the infrastructure-to-revenue stack — fixing the wrong layer wastes time and money. This skill prevents the common mistake of tweaking copy when deliverability is broken, or adjusting targeting when the offer is wrong. The non-obvious rule: every campaign metric exists in a dependency chain. Deliverability gates open rates. Open rates gate reply rates. Reply rates gate meetings. Meetings gate pipeline. You cannot fix layer 5 if layer 2 is broken. This skill enforces layer-by-layer diagnosis before optimization. This skill produces a Campaign Performance Diagnostic Report containing: a 6-layer health scan, a diagnostic decision tree with root cause identification, winning copy extraction with statistical confidence, benchmark comparisons across three reference sets, and a prioritized optimization action plan with expected impact estimates. ## When to Use - User says "analyze my campaign" or "campaign performance review" → activate this skill - User mentions "open rates dropped" or "reply rates are low" → use this skill for root-cause diagnosis - User asks "which subject line performed better" or "what copy is working" → use the copy extraction module - User says "benchmark my metrics" or "how do I compare to industry" → activate benchmarking ...