Transform raw campaign data into attribution models and decision-ready narratives. Built for demand gen leaders who own a pipeline number and need to explain wh
The Pipeline Attribution Narrator converts raw campaign and pipeline data into actionable attribution models combined with clear, decision-ready narratives. It bridges the gap between numbers and leadership questions by explaining why pipeline metrics changed, which channels drive value at different stages, and how budget shifts impact future pipeline. This skill supports multi-touch attribution approaches tailored to B2B SaaS demand gen teams, enabling them to diagnose pipeline performance and guide budget reallocations with confidence.
This skill is designed for demand generation leaders responsible for pipeline targets who must justify marketing investments to executives or boards. Growth leads and marketing analysts focused on cross-channel attribution and budget optimization will also benefit. Additionally, agency strategists managing B2B SaaS campaigns can use it to translate complex attribution data into narratives for client reporting and strategic recommendations.
Practitioners start by selecting or building an attribution model appropriate for their data maturity, often beginning with last touch and layering in first touch or more advanced models like W-Shaped or Full Path. Next, they analyze pipeline changes month-over-month or quarter-over-quarter to diagnose drops or growth by channel and segment. Then, they model budget reallocation scenarios by shifting spend between channels and simulating the impact on pipeline based on attribution weights. Finally, they prepare reports that combine attribution tables with stakeholder-friendly narratives explaining what’s driving pipeline performance and recommended next steps.
How do I decide which attribution model to use? Start with last touch if you have limited data, then add first touch and more complex models as your tracking and CRM data improve. Can I compare channel performance across geographies? Use the same attribution model consistently across geos to ensure apples-to-apples comparisons. What if leadership only wants a single pipeline number per channel? Provide last touch with a clear explanation that it understates marketing influence, and supplement with multi-touch views in appendices for deeper insight.
Attach the pipeline-attribution-narrator skill to any task where you are analyzing campaign data and need to translate attribution into narrative form. Expect it to generate both the attribution tables and executive-friendly explanations that clarify what’s working and where to adjust budgets. This skill integrates with your existing data inputs and guides your attribution model selection and scenario planning workflows, helping you prepare reports for leadership and optimize pipeline impact. You can learn more about applying this skill within Metaflow by...
For broader context, see our roundup of marketing skills claude, and read run Claude Code via Slack for related setup guidance.