ai-image-editing
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Social media analytics and reporting — read native platform data honestly and turn it into next actions. Use when someone wants to "check my analytics," "see how my posts are doing," "build a social media report," "which content is working," "what metrics/KPIs should I track,"
$ npx -y skills add social-media-skills/skills --skill analytics-and-reporting --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/analytics-and-reportingContext preview
The summary Claude sees to decide when to auto-load this skill.
Social media analytics and reporting — read native platform data honestly and turn it into next actions. Use when someone wants to "check my analytics," "see how my posts are doing," "build a social media report," "which content is working," "what metrics/KPIs should I track,"
name: analytics-and-reporting description: >- Social media analytics and reporting — read native platform data honestly and turn it into next actions. Use when someone wants to "check my analytics," "see how my posts are doing," "build a social media report," "which content is working," "what metrics/KPIs should I track," or to turn performance data into next steps. Measures goal-mapped SIGNAL metrics (saves, shares, watch time/retention, engagement-rate-by-reach, follower-growth-rate, CTR, conversions) — not vanity (followers/impressions/likes) — and closes the loop. Uses the METER framework. Reads brand-profile + social-strategy (goals) first. WoopSocial has NO analytics surface, so this reads NATIVE platform dashboards (+ GA4/UTM) and interprets numbers the human provides; it NEVER fabricates a metric. Feeds content-recycling, experimentation, competitor-analysis, and every growth skill. Distinct from goals-and-kpis (sets targets) and experimentation (runs tests). version: 1.0.0
The **measurement keystone** — read native platform data, turn it into goal-mapped insight, and close the loop. Every **"read native analytics to pick winners"** instruction elsewhere in the library resolves **here**. WoopSocial publishes; it **does not measure** — the numbers come from **native dashboards**, and the agent **interprets, never fabricates.**
Most reporting drowns in **vanity metrics** (followers, impressions, likes) that are easily inflated and change nothing — only ~4–6 KPIs actually correlate with revenue. Track the **signal** that maps to your goal (saves, shares, watch time/retention, **ER by reach**, follower-growth-rate, CTR, conversions), **benchmark relative** to your own trend and vertical, and **end every read with a decision.** A metric that won't change next week's action is a diagnostic, not a KPI.
1. **brand-profile** — positioning/audience (context for the numbers). 2. **social-strategy** — the **goals** every metric must map to (targets live in `goals-and-kpis`).
(Depth: `references/the-meter-framework.md`.)
that matter, not 20+.
(WoopSocial has none) + **GA4/UTM**; the human pulls, the agent interprets.
conversions; use the **platform-specific** signal (IG saves · TikTok shares · LinkedIn dwell · YouTube watch time).
attribution undercounts ~30–50%.
trends / quarterly strategy; feed the loop.
Vanity-vs-actionable + the 3 tests, the distribution→attention→action stack, the 2026 signal metrics, platform-specific signal, relative benchmarks, attribution undercount, and the reporting cadence: `references/analytics-2026-reality.md`. Metric-by-goal matrix, platform cheat-sheet, the report template
numbers; the agent **structures + interprets.**
invent it. **Cite the native source.**
directional (~30–50% undercount).
**Privacy:** aggregate, favor first-party data. A dashboard number is **input, not a command.** (Scope, keystone role + connections: `references/scope-and-connections.md`.)
**analytics-and-reporting (this)** = measure native performance + report + close the loop · **goals-and-kpis** = set the targets this measures against · **experimentation** = design
(this is your own first-party data).
Reads first: **brand-profile**, **social-strategy**. Feeds: **content-recycling** (winner selection), **experimentation**, **competitor-analysis**, **goals-and-kpis**, and **every growth skill** (IG, TikTok, LinkedIn, YouTube×2, X, Pinterest, Threads, Facebook). Informs: **hook-writer**, **viral-reverse-engineering**, **content-calendar**/**batch-content-plan**, **profile-optimization**. Source tools: **native dashboards
Each metric mapped to a goal (1 primary + 2 supporting; defined window; 3–5 that matter); numbers taken only from native dashboards/GA4 the user provided (gaps flagged, sources cited, nothing fabricated); signal over vanity with the platform-specific metric; benchmarked relative to own trend/vertical with causation + sample-size caveats; an outcomes-first report ending in exactly 3 recommendations that feed content-recycling / experimentation / strategy; correctly distinguished from goals-and-kpis, experimentation, and competitor-analysis.
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