social-media-analyzer

To analyze social media campaign performance and calculate ROI, provide structured input data containing platform details, post metrics like likes and comments, reach, and optional total spend for accurate ROI calculations.

Social media engagement metrics required to identify top-performing content include likes, comments, reach, impressions, and optional total spend, which are used to calculate engagement rate, CTR, and ROI.

Yes, you can benchmark your social media engagement rate against industry standards automatically, comparing your campaign performance metrics to baseline data and providing actionable optimization recommendations.

Social media ROI analysis works with multiple platforms in one dataset by evaluating structured input data that includes the platform identifier, processing varied post details and total spend to calculate cross-platform metrics.

The best way to calculate cost per engagement and cost per click for social campaigns is to process structured performance data using pandas and numpy, analyzing total spend alongside engagement and click metrics.

To get optimization recommendations for future social media campaigns, the analyzer identifies your top-performing content and benchmarks performance metrics against industry standards to generate actionable insights.