ads audit

Cross-platform ads health audits collect data from Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, and Microsoft Ads to identify and quantify health gaps. The audit delegates analysis to specialized subagents for parallel processing, producing per-platform and aggregate health scores.

Multi-platform campaign health scoring evaluates advertising accounts across networks like Google Ads and Meta Ads to quantify performance gaps. It uses delegated subagents for platform detection, data collection, and parallel analysis, generating a comprehensive aggregate health score.

Yes, you can run an ads audit for specific platforms by specifying them with the --platforms command option. The audit supports Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, and Microsoft Ads, detecting each platform to produce targeted health scores.

To identify quick wins in multi-network advertising campaigns, run a cross-platform ads audit. The audit evaluates campaign health across networks using specialized subagents for tracking, budget, and creative analysis, generating prioritized action plans for optimization.

Yes, the ads audit works with data exports or screenshots from your ad accounts. It collects this information across platforms like Google Ads and Meta Ads to detect campaign health gaps and produce comprehensive reporting with aggregate health scores.

Cross-platform advertising health monitoring often misses wasted spend when specialized subagents are not used for parallel analysis. An ads audit delegates tasks to specific subagents for tracking, budget, and compliance, quantifying health gaps to prevent misaligned messaging.