v1.0.0 to v1.1.0

19 added, 13 removed. Audit A to A.

---

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.

+ brand-profile + social-strategy (goals) first. Reads WoopSocial post analytics for TikTok,

+ LinkedIn, Facebook, Instagram, Pinterest, YouTube, and Bluesky; native dashboards otherwise.

+ 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

+ version: 1.1.0

---

# 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.**

+ resolves **here**. WoopSocial post analytics covers **TikTok, LinkedIn, Facebook, Instagram, Pinterest, YouTube, and Bluesky**. Everything else still comes

+ 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.

+ - **E — Extract:** for **TikTok, LinkedIn, Facebook, Instagram, Pinterest, YouTube, and Bluesky**, read **WoopSocial post analytics** on the social-account

+ post (lifetime snapshots — not a live refresh, not a date range). For **X, Threads, Reddit**, and

+ for any metric WoopSocial doesn't store, the **native dashboard** is the source, plus **GA4/UTM**.

+ A missing field is not zero. The agent interprets; it never invents a figure.

- **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.**

+ - **WoopSocial post analytics covers TikTok, LinkedIn, Facebook, Instagram, Pinterest, YouTube, and Bluesky.** Read those on the social-account post. They are

+ stored lifetime snapshots (views, impressions, unique impressions, likes, reactions, comments,

+ shares, saves, clicks; LinkedIn Pages engagement rate). **X, Threads, Reddit**, account-level

+ stats, watch time, retention, CTR, traffic sources, and story taps still come from **native

+ dashboards** (+ GA4/UTM). A missing field is unsupported or not collected yet — **flag the gap**.

+ Zero is a real value. The agent **structures + interprets** and never invents a number.

- **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).

+ **content-calendar**/**batch-content-plan**, **profile-optimization**. Source tools: **WoopSocial

+ post analytics** for TikTok, LinkedIn, Facebook, Instagram, Pinterest, YouTube, and Bluesky; **native dashboards + GA4/UTM** for everything else.

## 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);

+ from WoopSocial post analytics on the covered platforms, or from native dashboards/GA4 where WoopSocial doesn't store the metric (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.