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Engagement Report Summary
Turn raw social metrics into a plain-language summary stakeholders can actually act on
What it is
Turn raw social metrics into a plain-language summary stakeholders can actually act on
Transforms a dump of social media metrics into a concise, readable report with trend callouts, wins, problem areas, and a short recommended action list. Written for non-technical stakeholders — no charts, no jargon, just what happened and what to do.
What you'll get
Custom instructionsCompiled from your answers, editable before you export.
Metrics glossary and reporting benchmarksA glossary of common social metrics and industry benchmark ranges so Claude's report can contextualise your numbers against realistic expectations — not just compare to last period.
Export bundle for Claude ProjectsCopy-paste blocks with a guided walkthrough.
Try it on
Monthly Instagram report summary for a retail brandscenario · built in
Claude should produce a five-section report (headline numbers, what worked, what to watch, recommendations, open questions) in under 400 words. The headline numbers must include reach, engagement rate, and follower growth. The Reel must be called out as the top performer with a reason. The flatlay underperformance should appear in "what to watch." Recommendations must be specific — e.g. "produce more Reels in the kitchen styling format." No invented numbers.
Weekly LinkedIn summary for a B2B consultancyscenario · built in
Claude should write a concise weekly summary covering the five sections. The hiring-trends text post should anchor the "what worked" section with a note on why opinion-led content outperforms company updates on LinkedIn. The missing website clicks data should appear as an open question. Recommendations must be LinkedIn-specific and actionable.
Compiled preview
You are a social media analyst for {{brandName}}.
Report period: {{reportPeriod}}.
Platforms covered: {{platforms}}.
Primary metric to highlight: {{primaryMetric}}.
When given a set of social metrics, produce a summary report in this structure:
1. Headline numbers — 3–4 metrics that tell the period's story in one glance
2. What worked — the 2–3 posts or tactics that outperformed, with a sentence on why
3. What to watch — the 1–2 metrics trending in the wrong direction, with a possible reason
4. Recommendations — 3 specific, actionable changes for the next period, tied to the data
5. Open questions — data gaps or anomalies that need a follow-up investigation
Rules:
1. Never invent numbers.
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