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traffic-change-diagnosis

Diagnose why website traffic changed. Use when the user asks "why did traffic drop/spike", investigates an anomaly, or wants to separate tracking regressions from real behaviour changes. Walks a hypothesis tree (measurement → time-shape → channel → cohort → content), recognises common fingerprints (bot spike, tracking regression, deploy-correlated drop, SEO decay, campaign ramp), and applies sampl

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Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

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/plugin marketplace add clamp-sh/analytics-skills

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Traffic change diagnosis

The specialist version of the diagnostic method, applied to one question: why did traffic (sessions, pageviews, unique visitors) move?

Read analytics-diagnostic-method first if you haven't. This skill assumes you already know MECE, triangulation, sample size, and Pyramid presentation. It adds the traffic-specific fingerprints and drill paths.

Opening moves

  1. Read analytics-profile.md if present. The profile tells you the expected monthly traffic range and k

[Description truncada. Veja o README completo no GitHub.]

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