performance-analytics

Analyze marketing performance data to identify effectiveness gaps and optimization opportunities.

7|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/Epiphytic/ai-plugin-translator --skill performance-analytics-epiphytic
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: performance-analytics
Source: https://github.com/Epiphytic/ai-plugin-translator/tree/main/packages/core/test/fixtures/regression-output/knowledge-work-plugins/marketing/skills/performance-analytics
Command: npx skills add https://github.com/Epiphytic/ai-plugin-translator --skill performance-analytics-epiphytic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps marketers understand campaign effectiveness by turning performance data into structured analysis, actionable recommendations, and optimization opportunities.

Core Features & Use Cases

  • Marketing Metrics Analysis: Evaluate channel performance across email, social media, paid advertising, SEO, content marketing, and pipeline metrics.
  • Reporting and Forecasting Frameworks: Create stakeholder-ready reports, dashboards, trend analyses, attribution reviews, and performance forecasts.
  • Optimization Recommendations: Diagnose funnel issues, prioritize improvements, and design tests to improve campaign outcomes.

Quick Start

Use the performance analytics skill to analyze my latest marketing campaign results and recommend the highest-impact optimization opportunities.

Frequently Asked Questions about performance-analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze marketing campaign performance data to find optimization opportunities?

Marketing campaign performance analysis evaluates channel effectiveness across email, social media, and paid advertising to identify funnel gaps. It applies structured metric analysis to diagnose issues and prioritize improvements for data-driven marketing decisions.

What's the best way to build a marketing reporting and forecasting framework for stakeholders?

A marketing reporting and forecasting framework transforms performance data into stakeholder-ready dashboards and trend analyses. It structures attribution reviews and performance forecasts to guide optimization recommendations.

How does attribution evaluation work for multi-channel marketing metrics?

Attribution evaluation assesses multi-channel marketing metrics by analyzing trend data across email, SEO, and content marketing. It identifies effectiveness gaps in pipeline metrics to determine channel contribution and improve overall campaign strategy.

Can I use marketing analytics to diagnose funnel issues and design campaign tests?

Marketing analytics allows you to diagnose funnel issues by evaluating structured metrics across your marketing channels. It prioritizes improvements and designs tests to optimize campaign outcomes based on identified effectiveness gaps.

When do I need structured metric analysis for my marketing strategy improvement?

Structured metric analysis is needed for marketing strategy improvement when evaluating campaign reporting and channel measurement. It applies forecasting frameworks and dashboard guidance to turn performance data into actionable optimization recommendations.

What limitations exist when relying on marketing analytics for campaign performance reporting?

Marketing analytics limitations for campaign performance reporting include the requirement for structured metric inputs. Without structured pipeline data across channels like SEO and paid advertising, generating accurate attribution evaluations and performance forecasts is constrained.