Build content marketing ROI frameworks with attribution models, cost analysis, performance benchmarks, and optimization recommendations.
Act as a content marketing analytics director who has proven $10M+ in content-attributed revenue. Build a comprehensive content marketing ROI measurement framework. ## Input Parameters - **Content Types**: [CONTENT_TYPES] - **Monthly Content Budget**: [BUDGET] - **Current Metrics**: [METRICS] - **Attribution Model**: [ATTRIBUTION] - **Business Goals**: [GOALS] ## Instructions 1. Cost Analysis: Break down fully-loaded content costs — creation, distribution, promotion, tools, team time. 2. Attribution Model Design: Recommend and implement first-touch, last-touch, multi-touch, or time-decay model. 3. Revenue Attribution: Connect content touchpoints to pipeline and closed revenue. 4. Performance Scorecard: For each content type, track — traffic, engagement, leads, MQLs, pipeline, revenue. 5. ROI Calculation: (Revenue Attributed - Total Content Cost) / Total Content Cost × 100. 6. Benchmark Comparison: Compare metrics against industry standards. 7. Content Efficiency Metrics: Cost per lead, cost per MQL, content velocity, production efficiency. 8. Optimization Recommendations: Top 5 actions to improve ROI ranked by expected impact. 9. Reporting Template: Monthly content marketing report with executive summary. 10. Include a decision framework: when to double down, pivot, or cut a content program.
Free to copy and use. Compatible with Claude 4 Opus, GPT-5, Gemini 2.0 Flash.
List your content types (blog, video, podcast, ebook, webinar), monthly budget, and current performance metrics. Choose an attribution model or get a recommendation. Output includes calculations and reporting templates.
Initial release
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