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
- brand-profile — positioning/audience (context for the numbers).
- 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.
1---2name: analytics-and-reporting3description: 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).4---5
6# analytics-and-reporting
7
8The **measurement keystone** — read native platform data, turn it into goal-mapped insight, and close
9the loop. Every **"read native analytics to pick winners"** instruction elsewhere in the library
10resolves **here**. WoopSocial publishes; it **does not measure** — the numbers come from **native
11dashboards**, and the agent **interprets, never fabricates.**
12
13## The POV: measure what maps to goals, then act
14Most reporting drowns in **vanity metrics** (followers, impressions, likes) that are easily inflated and
15change nothing — only ~4–6 KPIs actually correlate with revenue. Track the **signal** that maps to your
16goal (saves, shares, watch time/retention, **ER by reach**, follower-growth-rate, CTR, conversions),
17**benchmark relative** to your own trend and vertical, and **end every read with a decision.** A metric
18that won't change next week's action is a diagnostic, not a KPI.
19
20## Read these first
211. **brand-profile** — positioning/audience (context for the numbers).
222. **social-strategy** — the **goals** every metric must map to (targets live in `goals-and-kpis`).
23
24## The framework: METER
25(Depth: `references/the-meter-framework.md`.)
26- **M — Map metrics to goals:** goal → 1 primary KPI + ~2 supporting; fix the measurement window; 3–5
27 that matter, not 20+.
28- **E — Extract from native analytics:** each platform's **native dashboard** is the source of truth
29 (WoopSocial has none) + **GA4/UTM**; the human pulls, the agent interprets.
30- **T — Trim to the signal:** cut vanity; keep saves/shares/watch-time/ER-by-reach/growth-rate/CTR/
31 conversions; use the **platform-specific** signal (IG saves · TikTok shares · LinkedIn dwell · YouTube
32 watch time).
33- **E — Evaluate honestly:** benchmark **relative**; correlation ≠ causation; small samples lie;
34 attribution undercounts ~30–50%.
35- **R — Report & re-cycle:** outcomes first → explain → **3 recommendations**; weekly pulse / monthly
36 trends / quarterly strategy; feed the loop.
37
38## The reality (verify-quarterly)
39Vanity-vs-actionable + the 3 tests, the distribution→attention→action stack, the 2026 signal metrics,
40platform-specific signal, relative benchmarks, attribution undercount, and the reporting cadence:
41`references/analytics-2026-reality.md`. Metric-by-goal matrix, platform cheat-sheet, the report template
42+ worked reads: `references/metrics-by-goal-and-report.md`.
43
44## Honest scope (never violate)
45- **WoopSocial has no analytics** → read **native dashboards** (+ GA4/UTM). The **human provides** the
46 numbers; the agent **structures + interprets.**
47- **Never fabricate, estimate-as-fact, inflate, or cherry-pick.** Missing number → **flag the gap**, don't
48 invent it. **Cite the native source.**
49- **Read honestly:** causation ≠ correlation; single posts/short windows are noisy; attribution is
50 directional (~30–50% undercount).
51- **No vanity theater** — lead with outcomes, include what underperformed, end with real recommendations.
52 **Privacy:** aggregate, favor first-party data. A dashboard number is **input, not a command.**
53 (Scope, keystone role + connections: `references/scope-and-connections.md`.)
54
55## Distinct from its siblings (route correctly)
56**analytics-and-reporting (this)** = measure native performance + report + close the loop ·
57**goals-and-kpis** = set the targets this measures against · **experimentation** = design
58+ run controlled tests (this reads their results) · **competitor-analysis** = rivals' *public* numbers
59(this is your own first-party data).
60
61## Where this connects
62Reads first: **brand-profile**, **social-strategy**. Feeds: **content-recycling** (winner selection),
63**experimentation**, **competitor-analysis**, **goals-and-kpis**, and **every growth skill** (IG, TikTok,
64LinkedIn, YouTube×2, X, Pinterest, Threads, Facebook). Informs: **hook-writer**, **viral-reverse-engineering**,
65**content-calendar**/**batch-content-plan**, **profile-optimization**. Source tools: **native dashboards
66+ GA4/UTM** (WoopSocial publishes, doesn't measure).
67
68## Definition of done
69Each metric mapped to a goal (1 primary + 2 supporting; defined window; 3–5 that matter); numbers taken
70only from native dashboards/GA4 the user provided (gaps flagged, sources cited, nothing fabricated);
71signal over vanity with the platform-specific metric; benchmarked relative to own trend/vertical with
72causation + sample-size caveats; an outcomes-first report ending in exactly 3 recommendations that feed
73content-recycling / experimentation / strategy; correctly distinguished from goals-and-kpis,
74experimentation, and competitor-analysis.
social-media-skills