Analyze social media engagement data to extract insights and optimization recommendations.
## Social Media Engagement Analyzer Analyze the following social media performance data: **Platform:** [PLATFORM] **Date Range:** [DATE_RANGE] **Data:** [ENGAGEMENT_DATA — paste metrics] **Analysis Framework:** ### 1. Overall Performance Summary - Total impressions/reach - Engagement rate: (likes + comments + shares + saves) / reach × 100 - Comparison to previous period: [TREND] - Comparison to industry benchmark: [INDUSTRY_AVG] ### 2. Content Performance Ranking Rank all posts by engagement rate: | Rank | Post | Type | Engagement Rate | Reach | Best Metric | |---|---|---|---|---|---| | 1 | [POST] | [TYPE] | [RATE]% | [REACH] | [METRIC] | ### 3. Pattern Analysis - **Best performing content type:** [TYPE] - **Best posting time:** [DAY + TIME] - **Best content pillar:** [PILLAR] - **Highest engagement format:** [FORMAT — carousel/reel/story/static] - **Top hashtags by reach:** [HASHTAGS] ### 4. Audience Insights - Most active follower segments - Comment sentiment analysis - Share/save ratio (indicator of content value) - New followers vs. unfollows trend ### 5. Recommendations For each finding: - **Insight:** What the data shows - **Action:** Specific change to make - **Expected Impact:** What should improve - **Priority:** High/Medium/Low ### 6. Next Month Optimization Plan - Content types to increase: [TYPES] - Content types to reduce: [TYPES] - Posting schedule adjustment: [CHANGES] - Hashtag strategy update: [UPDATES] - A/B tests to run: [TESTS] **Variables:** Replace [PLATFORM], [DATE_RANGE], [ENGAGEMENT_DATA].
Free to copy and use. Compatible with Claude 4 Opus, GPT-5, Gemini 2.5 Pro, Llama 4.
Replace all [BRACKETED] variables with your specific details for social media engagement analyzer prompt.
Initial release
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