Analyze paid media performance across dimensions, funnels, cohorts, and channels — turning data into actionable insights and business narratives.
Campaign Analyzer performs deep paid media performance analysis across Google Ads, Meta Ads, Microsoft Ads, and other platforms when you supply metrics, exports, or structured summaries. It goes beyond surface ROAS reporting to diagnose spend efficiency, audience fatigue, creative decay, budget pacing issues, attribution anomalies, and funnel drop-offs between click and conversion.
The skill segments performance by campaign, ad set, keyword, device, geo, and time period; flags statistical noise versus meaningful trends; and ties findings to actionable next steps—pause, scale, restructure, or test—not generic "optimize bids" advice.
Performance marketers doing weekly or monthly account reviews, agency analysts preparing client recaps, and growth leads investigating why CPA spiked or MER dipped. Useful when dashboards show green totals but channel managers sense underlying weakness in prospecting or branded search reliance.
Also fits post-launch reviews of new campaign types (Performance Max, Advantage Plus) where black-box reporting obscures drivers.
Import or paste performance data with clear date ranges and conversion definitions. Establish baseline periods for comparison. Analyzer breaks down efficiency metrics, volume trends, and contribution by campaign objective. It identifies outliers: high spend/low conversion entities, improving segments worth scaling, and learning-phase disruptions.
Cross-channel notes highlight when Google search branded volume inflates Meta prospecting efficiency or vice versa. Output includes ranked issue list, hypothesis for each anomaly, recommended experiments, and metrics to watch next period. Optional executive summary for non-specialists.
Analysts ask how much data granularity is needed—weekly aggregates work for trends; daily helps diagnose pacing and day-of-week effects. Another question is incrementality; the skill flags correlation limits and suggests when geo holdouts or platform experiments are warranted.
Teams using different attribution windows get guidance on aligning comparisons before blending channels in one narrative.
Attach Campaign Analyzer to a task with CSV exports, screenshot tables, or API summary text. State business goal (leads, revenue, MER) and any recent changes (new creative, bid strategy switch). Request specialist depth or exec summary format. Follow with Google Ads Optimizer, Meta Ads Optimizer, or Paid Media Reporter skills to act on findings.
Advanced passes include cohort views when you provide customer type or product line splits, surfacing when aggregate ROAS masks a bleeding segment. The skill notes data freshness and statistical significance—warning when seven-day windows swing on small conversion counts. For subscription or LTV businesses, it prompts for proxy metrics when platform pixels only capture first purchase, preventing premature scale-down of prospecting that pays back over months.
For broader context, see our roundup of claude skills for marketing, and read Claude Code guide for marketing agencies for related setup guidance.