campaign-retrospective-analystRun retrospective analysis for campaigns on Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic channels.
Install via ClawdBot CLI:
clawdbot install danyangliu-sandwichlab/campaign-retrospective-analystGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 22, 2026
An e-commerce brand notices a 20% drop in ROAS over the past month across Meta and Google Ads campaigns. The skill analyzes spend, revenue, and conversion data by platform and audience segment to identify root causes like creative fatigue or bidding inefficiencies, then recommends specific adjustments such as creative refreshes or budget reallocation.
A SaaS company wants to reduce CPA while maintaining lead quality from TikTok Ads and YouTube Ads. The skill reviews funnel metrics, attribution windows, and audience performance to pinpoint high-cost segments, suggesting actions like audience refinement or bid strategy changes with a stop-loss condition for spend risk.
A retail chain seeks post-holiday analysis for Amazon Ads and DSP campaigns to extract lessons for next year. The skill evaluates revenue, traffic, and conversion trends by date range and platform, providing insights on demand-capture effectiveness and proposing a concrete plan for future budget allocation and creative testing.
A direct-to-consumer brand experiences rising traffic but flat revenue from Meta and Google Ads, indicating potential quality decline. The skill decomposes source mix and quality signals, offering corrective actions such as audience control adjustments and frequency governance to improve efficiency.
A marketing agency needs automated daily summaries for client campaigns across multiple platforms including TikTok and programmatic channels. The skill generates report schemas with anomaly highlights and top next actions, ensuring channel-aware recommendations and validation checklists for low-confidence results.
Businesses like meal-kit services or subscription boxes rely on recurring revenue from ads driving customer acquisition. This skill helps optimize ROAS and CPA by analyzing campaign performance across platforms like Meta and Amazon Ads, focusing on long-term customer value and budget efficiency.
Companies such as consulting firms or software providers use ads to generate high-quality leads. The skill assists in diagnosing funnel performance on Google Ads and YouTube Ads, extracting lessons to improve conversion rates and recommending next-cycle designs with measurable actions.
Brands launching new products use aggressive ad campaigns on TikTok and Meta to drive initial sales. This skill provides root-cause analysis for traffic and revenue metrics, ensuring creative testing cadence and demand-capture strategies are aligned with growth goals and risk management.
💬 Integration Tip
Integrate this skill with your existing analytics dashboards by mapping input contracts like metric_scope and data_source_scope to ensure seamless data flow and actionable outputs.
Scored Apr 19, 2026
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