Social Media Analytics

Understanding which social media campaigns actually drive results can be challenging. With this skill, your AI becomes your social media analyst—tracking campaign performance, calculating engagement rates, ROI, and benchmarking your results against industry standards. This is perfect for marketers, agencies, and business owners who want to know what’s working and how to improve their social presence.

What you can do

• Analyze campaign data from Instagram, Facebook, LinkedIn, Twitter/X, or TikTok, and get engagement rates, CTR, and ROI calculations.
• Benchmark your performance against platform averages and top performers (e.g., “Your Instagram engagement rate is 2.5%—above average, but below top-tier accounts”).
• Identify your best and worst-performing posts, with recommendations for improvement.
• Calculate cost per engagement, cost per click, and return on ad spend if you provide spend data.
• Get a summary report with actionable recommendations to optimize future campaigns.

How it works

Your AI validates your input data (likes, comments, reach, spend, etc.), then calculates key metrics like engagement rate, CTR, and ROI. It compares your results to platform benchmarks, highlights top and bottom performers, and generates a clear report. If you include ad spend, it breaks down cost per engagement and ROI, so you see exactly where your budget is going. The output includes a post-by-post breakdown, campaign-level summary, and prioritized recommendations.

Good to know

• You’ll need to provide campaign data (platform, likes, comments, reach, etc.) for analysis.
• For ROI calculations, include ad spend and, if possible, click or conversion data.
• The AI may run Python scripts locally to process your data (requires Python 3).
• This skill does not pull data directly from social platforms; you provide the metrics.