# 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.


---
资料：Frank Heijdenrijk / pavelhov/social-media-skills

原始版本：https://github.com/pavelhov/social-media-skills/blob/1680b37bf0dc32b52da247a8196ef27a6cd47bd4/skills/analytics-and-reporting/SKILL.md

许可：MIT。目录与内部链接已经整理，未收录图片已省略。

MIT License

Copyright (c) 2026 Frank Heijdenrijk

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.