How is this different from a standard dashboard?

Unlike static dashboards, this skill focuses on 'why' metrics are underperforming by diagnosing root causes and providing specific, actionable changes to improve results.

What metrics can this skill analyze?

It analyzes channel-level metrics like CTR and ROAS, lead conversion rates, email engagement (open/click rates), and CRM data including MQL to SAL conversion.

Does it provide industry benchmarks?

Yes, it includes built-in B2B benchmarks for LinkedIn ads, email performance, and funnel conversion stages to provide necessary context for your data.

Can I use it for automated reporting?

This skill is designed for deep-dive analysis and optimization. For automated weekly reporting tasks, we recommend using the dedicated marketing-performance-agent.

Marketing Performance Analysis

Name: Marketing Performance Analysis
Author: panaversity

bypanaversity

•

Marketing Automation

Analyzes marketing campaign performance and sales funnels to provide actionable, root-cause optimization recommendations.

This Claude Code skill provides a comprehensive framework for auditing marketing and sales performance across channels like LinkedIn, email, and landing pages. By applying a rigorous four-layer analysis—assessing targets, diagnosing root causes, proposing specific actions, and identifying successful elements to protect—it transforms raw metrics into actionable business intelligence. It includes built-in B2B benchmarks and standardized report templates to ensure every performance review is data-driven, specific, and focused on revenue outcomes rather than vanity metrics.

Key Features

01Multi-channel data analysis across Email, LinkedIn, CRM, and Landing Pages

0211 GitHub stars

03Four-layer diagnostic framework for identifying root causes of performance gaps

04Budget pacing and ROI tracking across the entire lead lifecycle

05Automated B2B performance benchmarking against industry standards

06Actionable optimization reporting with quantified impact projections

Use Cases

01Interpreting A/B test results to drive evidence-based creative iteration

02Diagnosing specific failures in the sales funnel from MQL to Opportunity conversion

03Conducting deep-dive weekly marketing performance reviews and optimization audits

Key Features

01Multi-channel data analysis across Email, LinkedIn, CRM, and Landing Pages

0211 GitHub stars

03Four-layer diagnostic framework for identifying root causes of performance gaps

04Budget pacing and ROI tracking across the entire lead lifecycle

05Automated B2B performance benchmarking against industry standards

06Actionable optimization reporting with quantified impact projections

Use Cases

01Interpreting A/B test results to drive evidence-based creative iteration

02Diagnosing specific failures in the sales funnel from MQL to Opportunity conversion

03Conducting deep-dive weekly marketing performance reviews and optimization audits