social-media-analyzer

To calculate social media campaign ROI and engagement rates, you need to provide structured post-level data including likes, comments, shares, saves, reach, impressions, clicks, and total spend for platforms like Instagram, Facebook, Twitter, LinkedIn, and TikTok. This process automatically computes CTR, CPC, and overall ROI.

Social media benchmarking evaluates campaign performance by comparing your computed engagement rates and ROI against standard platform benchmarks. This comparison highlights whether your content strategy and ad spend are underperforming or exceeding expectations for your specific social media platforms.

Yes, you can analyze campaign performance for Instagram and TikTok simultaneously by providing structured input data that specifies the platform for each post. The analysis computes platform-level benchmarks and identifies top performing posts across all included social media networks.

The best way to identify top performing posts is to analyze post-level engagement metrics like likes, comments, shares, and saves against reach and impressions. This highlights successful content, allowing the system to generate actionable recommendations to guide your future content strategy.

Yes, you need to export and provide reach and impressions data alongside interactions like clicks and total spend within your structured input. These specific metrics are required to accurately calculate your engagement rate, CTR, CPC, and overall campaign ROI.

Your social media ROI analysis requires total_spend data because ROI calculates the financial return relative to your advertising costs. Without total spend figures alongside click and conversion data, the system cannot accurately compute CPC or determine campaign profitability.