Side-by-side platform performance with unified metrics, normalised for cross-channel analysis.
Each ad platform reports metrics differently — Meta calls it "cost per result" while Google uses "cost per conversion." The comparison view normalises everything into consistent definitions so you can legitimately compare cost-per-acquisition across platforms. Attribution models are noted so you understand the comparison context.
Dual-axis charts overlay performance from multiple platforms on the same timeline. See how a Google Ads spend increase correlates with Meta performance changes. Identify which platform is delivering better results for the same audience segment during the same time period.
The comparison surface suggests optimal budget allocation based on historical performance data. If Meta consistently delivers 30% lower CPA than Google for a specific client, the dashboard highlights the opportunity to shift budget. These insights are data-driven recommendations, not automated changes.
Export the comparison view as part of client reports. The unified format means clients see a clear story across platforms without needing to understand each platform's reporting quirks. AI-generated summaries provide natural-language explanations of cross-platform trends.