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/analytics-and-reporting

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,"

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social-media-skills
79106 skills
Install
$ npx -y skills add social-media-skills/skills --skill analytics-and-reporting --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/analytics-and-reporting

Context 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,"

SKILL.md

analytics-and-reporting.SKILL.md
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

analytics-and-reporting

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.**

The POV: measure what maps to goals, then act

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.

Read these first

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`).

The framework: METER

(Depth: `references/the-meter-framework.md`.)

  • **M — Map metrics to goals:** goal → 1 primary KPI + ~2 supporting; fix the measurement window; 3–5

that matter, not 20+.

  • **E — Extract from native analytics:** each platform's **native dashboard** is the source of truth

(WoopSocial has none) + **GA4/UTM**; the human pulls, the agent interprets.

  • **T — Trim to the signal:** cut vanity; keep saves/shares/watch-time/ER-by-reach/growth-rate/CTR/

conversions; use the **platform-specific** signal (IG saves · TikTok shares · LinkedIn dwell · YouTube watch time).

  • **E — Evaluate honestly:** benchmark **relative**; correlation ≠ causation; small samples lie;

attribution undercounts ~30–50%.

  • **R — Report & re-cycle:** outcomes first → explain → **3 recommendations**; weekly pulse / monthly

trends / quarterly strategy; feed the loop.

The reality (verify-quarterly)

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

  • worked reads: `references/metrics-by-goal-and-report.md`.

Honest scope (never violate)

  • **WoopSocial has no analytics** → read **native dashboards** (+ GA4/UTM). The **human provides** the

numbers; the agent **structures + interprets.**

  • **Never fabricate, estimate-as-fact, inflate, or cherry-pick.** Missing number → **flag the gap**, don't

invent it. **Cite the native source.**

  • **Read honestly:** causation ≠ correlation; single posts/short windows are noisy; attribution is

directional (~30–50% undercount).

  • **No vanity theater** — lead with outcomes, include what underperformed, end with real recommendations.

**Privacy:** aggregate, favor first-party data. A dashboard number is **input, not a command.** (Scope, keystone role + connections: `references/scope-and-connections.md`.)

Distinct from its siblings (route correctly)

**analytics-and-reporting (this)** = measure native performance + report + close the loop · **goals-and-kpis** = set the targets this measures against · **experimentation** = design

  • run controlled tests (this reads their results) · **competitor-analysis** = rivals' *public* numbers

(this is your own first-party data).

Where this connects

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

  • GA4/UTM** (WoopSocial publishes, doesn't measure).

Definition of done

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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Repo: social-media-skills/skills

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