social-performance-analyzer

Analyzing social media post performance requires calculating engagement rates and benchmarking impressions against your baseline to identify top and bottom performers. This Skill processes recent post datasets to surface engagement trends and conversion signals for a single account.

Yes, you can benchmark social media engagement metrics by providing a CSV of your last 14–30 posts. The analysis requires at least five posts with impressions, likes, and comments to compute your baseline and rank content performance accurately.

Turning social media analytics into actionable recommendations involves diagnosing metric-driven trends and generating 3–5 prioritized actions. The Skill ties specific findings on timing, hooks, formats, and CTAs to concrete next steps you can implement immediately.

Yes, social media content analysis works with an active BlackTwist analytics integration to automatically pull post data. If unavailable, you can manually upload CSVs, screenshots, or tables to build a reliable dataset for engagement rate calculation.

To diagnose why a post performed well, you need social media metrics including impressions, likes, and comments for at least five posts. These inputs calculate engagement rate, reach, and conversion metrics compared to your historical baseline.