event-analytics

# Event Analytics ## Overview Events are the atomic unit of customer understanding. Every signup, click, feature use, upgrade, and cancellation is an event. The mistake: tracking events haphazardly ("track everything!") with no taxonomy, creating a data swamp instead of a data pipeline. This skill covers event analytics across every GTM system — how to design an event taxonomy, implement tracking, and unify event data across your stack to build a complete customer picture. ## Authoritative Foundations - **Segment — Customer Data Platform (CDP) and event taxonomy** — Customer Data Platform (CDP) and event taxonomy - **Amplitude — Behavioral analytics and event design** — Behavioral analytics and event design - **Mixpanel — Product analytics and event-based reporting** — Product analytics and event-based reporting - **Intercom — Event-driven messaging and automation** — Event-driven messaging and automation - **Avo — Event taxonomy and governance** — Event taxonomy and governance - **Snowplow — Open-source event pipeline** — Open-source event pipeline ## When to Use Trigger phrases: "event analytics setup", "customer event tracking", "implement Segment", "Amplitude setup for SaaS", "event taxonomy design", "customer data pipeline", "product analytics events", "Intercom events", "event-driven workflows" ## Step-by-Step Process ### Phase 1: Event Taxonomy Design **The 4 event types (Segment spec):** 1. **Identify:** Who is the user? `identify(userId, traits)` 2. **Track...