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87 agent skills for AI coding assistants — marketing, growth, web3, dev, design & operations. Built for OpenClaw, Claude Code, Cursor, and Codex.

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## Contents - 9. KPI dashboards - Acquisition - Engagement - Conversion - Retention ## 9. KPI dashboards Build core dashboards in **Looker Studio** on the GA4 connector (fast, native) and reserve **BigQuery-backed** Looker Studio for unsampled/blended/cost-joined views (§6). Define each tile with an explicit metric, dimension, and segment so it isn't ambiguous. ### Acquisition - Sessions & users by **Session source/medium** and **Default channel group** - New vs returning users - **CPA/CAC by channel** (requires cost join, §6.4 — not in GA4 alone) - Landing-page key-event rate (`generate_lead` / sessions) ### Engagement - Engaged sessions / sessions (**engagement rate**) — GA4's replacement for the old "bounce rate"; bounce rate = 1 − engagement rate - Average engagement time per session - Pages/screens per session - Scroll depth milestones (needs the custom `percent_scrolled` event, §1.4) ### Conversion - Key-event conversion rate **by funnel step** and step-to-step drop-off (§6.2 for the unsampled version) - Revenue and **value by attribution model** (compare DDA vs paid-and-organic-last-click side by side) - CAC and **ROAS** by channel (§6.4) ### Retention - Weekly/monthly **cohort retention curves** (§6.3) - Active users (DAU/WAU/MAU) and stickiness (DAU/MAU) - Churn rate by cohort - **LTV by acquisition channel** (revenue ÷ customers over the cohort window) > Sampling note: standard GA4 **Explorations** can sample above ~10M events in the date range; **standard reports** are unsampled but less flexible. When a number must be exact (board decks, finance), source it from **BigQuery**, not an Exploration. ---