analytics-and-reporting
热门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).
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).
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.
