social-media-analyzer

You calculate social media ROI and engagement rates by inputting metrics like ad spend, clicks, likes, comments, shares, and impressions into Python scripts that automate the mathematical analysis and return actionable performance insights.

Benchmarking social media performance involves comparing your calculated metrics against platform-specific standards for Instagram, Facebook, Twitter, LinkedIn, and TikTok to identify whether your engagement rates and reach exceed baseline industry expectations.

Yes, you can analyze paid campaign performance across platforms like Instagram, Facebook, Twitter, LinkedIn, and TikTok by feeding platform-specific reach, impressions, clicks, and total ad spend data into the analysis scripts.

Evaluating Instagram campaign ROI requires inputting your total ad spend alongside post-level likes, comments, shares, and clicks to calculate returns, rank top-performing content, and receive recommendations for future strategies.

Tracking social media performance and calculating ROI requires you to provide raw data inputs including total ad spend, reach, impressions, clicks, likes, comments, and shares for the Python scripts to process and analyze.

Benchmarking supports both organic and paid engagement metrics by accepting input data for likes, comments, shares, reach, impressions, clicks, and ad spend to calculate comprehensive engagement rates and return on investment.