Most reporting drowns in vanity metrics and changes nothing. METER turns native platform data into decisions: measure what maps to your goals, read it honestly, and close the loop. WoopSocial has no analytics — the numbers come from native dashboards (the agent interprets; it never fabricates).
M — Map metrics to goals
- Start from the goal (awareness / engagement / traffic / conversion / loyalty). Each goal → 1 primary KPI + ~2 supporting; fix the measurement window.
- The filter: if it won't change next week's action, it's a diagnostic, not a KPI. Aim for 3–5.
(Targets themselves:
goals-and-kpis/social-strategy.)
E — Extract from native analytics
- The source of truth is each platform's native dashboard (Instagram Insights, YouTube Studio, native X analytics, Pinterest Analytics, Meta Business Suite, LinkedIn, TikTok, Threads insights). Bluesky has no native analytics — measure it via UTM links + qualitative reads. WoopSocial has none.
- Add GA4 + UTM for traffic/conversions. The human pulls/pastes the numbers; the agent structures and interprets — never invents a figure.
T — Trim to the signal
- Cut vanity (followers/impressions/likes as headlines). Keep the signal: saves, shares, watch time/retention/completion, ER by reach, follower-growth-rate, CTR, conversions.
- Use the platform-specific signal (IG saves · TikTok shares · LinkedIn dwell · YouTube watch time) and the distribution → attention → action stack.
E — Evaluate honestly
- Benchmark relative to your own trend + vertical/competitors, not platform averages.
- Correlation ≠ causation; small samples and single posts lie (variance/seasonality) — don't
overreact. Attribution undercounts ~30–50% — read directional signals. Isolate variables via
experimentation-and-ab-testing.
R — Report & re-cycle
- Flip the hierarchy: outcomes first, content metrics explain why. Standardized template, ~30/10 min.
- End with Recommendations — 3 specific next actions. Tier cadence (weekly pulse / monthly
trends / quarterly strategy). Close the loop → feed
content-recycling,experimentation-and-ab-testing,social-strategy.
The analytics brief a request should fill
GOAL + KPIs: goal → 1 primary + 2 supporting; measurement window
SOURCE: native dashboards per platform (+ GA4/UTM); numbers provided by the human
SIGNAL: the platform-specific signal metric + the funnel stack (not vanity)
EVALUATE: vs own trend + vertical; sample size; causation; attribution caveat
REPORT: outcomes first → why → 3 recommendations; cadence tier
LOOP: which winners to scale / cut / test next
