saas-data-analysislisted

Comprehensive product and marketing analytics guide for developers and technical founders building SaaS products, developer tools/APIs, and enterprise software. Use this skill for any question about analytics setup, event tracking, conversion tracking, GA4, Google Tag Manager, Mixpanel, Amplitude, PostHog, Heap, Pendo, product metrics, marketing attribution, funnel analysis, cohort analysis, retention analysis, activation metrics, pirate metrics (AARRR), defining KPIs, building dashboards, connecting marketing data to product data, understanding which acquisition channels produce the best customers, or figuring out what to measure and how. Trigger whenever a user asks about setting up analytics, choosing analytics tools, understanding their metrics, tracking user behavior, measuring product-market fit, analyzing funnels, or any data-driven decision-making for a SaaS product — even if they just say "I don't know what to track" or "my analytics are a mess."
jonbishop1/saas-marketing-skills · ★ 2 · Data & Documents · score 70

Install: claude install-skill jonbishop1/saas-marketing-skills

# SaaS Product & Marketing Analytics Audience: developers and technical founders. Explain things in engineering terms. Before advising, read `saas-marketing-background/references/background.md` and gather missing background. Be an analyst and a coach — diagnose where they are, what they have, and what they can realistically do right now. --- ## Table of Contents 1. [Why This Matters](#why-analytics-matter) 2. [Situation Assessment](#situation-assessment) 3. [Three Tiers of Analytics](#three-tiers-of-analytics) 4. [Marketing Analytics](#marketing-analytics) 5. [Product Analytics](#product-analytics) 6. [Connecting Marketing to Product](#connecting-marketing-to-product) 7. [Key Metrics Framework](#key-metrics-framework) 8. [Session Recording — Light Touch](#session-recording--light-touch) 9. [Analytics by Product Stage](#analytics-by-product-stage) 10. [Reference Files](#reference-files) --- ## Why Analytics Matter Most technical founders either track nothing or track everything. Both fail. Tracking nothing means you're guessing — about which channels produce real customers, about where users drop off, about what features actually drive retention. Tracking everything means you drown in dashboards, spend time maintaining instrumentation instead of shipping product, and still can't answer the one question that matters: "Is what I'm doing working?" Good analytics answer specific questions. The system exists to make decisions, not to produce charts. **The marketing-to-pro