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performance-analytics

Analyze marketing performance across email, social media, paid ads, and SEO channels.

Updated Mar 5, 2026
Search Tags:#performance metrics#marketing analytics#trend analysis#paid advertising#campaign optimization#seo analysis
One-click install
npx skills add https://github.com/8GG-Git/knowledge-work-plugins --skill performance-analytics-8gg-git
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performance-analytics
Source: https://github.com/8GG-Git/knowledge-work-plugins/tree/main/marketing/skills/performance-analytics
Command: npx skills add https://github.com/8GG-Git/knowledge-work-plugins --skill performance-analytics-8gg-git

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you understand and improve your marketing campaign performance by providing clear metrics, trend analysis, and actionable optimization recommendations.

Core Features & Use Cases

  • Metric Analysis: Deep dives into key performance indicators across email, social media, paid ads, SEO, and content marketing.
  • Trend Identification & Forecasting: Identifies patterns in your data and provides simple forecasting methods.
  • Optimization Framework: Guides you through a process to prioritize and implement improvements based on impact and effort.
  • Use Case: You've just completed a major paid ad campaign and need to report on its success. Use this Skill to analyze the campaign's ROAS, CPA, and conversion rates, identify which ad sets performed best, and get recommendations for optimizing future ad spend.

Quick Start

Analyze the performance of the 'summer-sale' email campaign using the provided metrics.

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 across different channels?▼

Marketing campaign performance analysis evaluates key metrics across email, social media, paid ads, and SEO. This framework identifies performance trends and provides optimization recommendations to guide data-driven decisions.

What is the best way to optimize paid advertising spend after a campaign ends?▼

The best way to optimize paid advertising spend is assessing ROAS, CPA, and conversion rates. Analyzing ad set performance identifies winning variations, guiding future budget allocation and campaign optimization strategies.

How does trend analysis and forecasting work for marketing analytics?▼

Trend analysis for marketing analytics identifies historical data patterns across channels. Forecasting applies simple projection methods to these identified trends, enabling proactive adjustments to marketing strategies.

Can I use attribution modeling for SEO analysis and email campaigns?▼

Attribution modeling is supported for SEO analysis and email campaigns. It evaluates channel contributions within the marketing mix, providing frameworks to understand cross-channel impact and optimize overall strategy.

What metrics should I track for an email campaign performance report?▼

An email campaign performance report should track conversion rates, engagement trends, and attribution metrics. This identifies audience patterns and generates optimization recommendations for future outreach.

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