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traffic-analysis

Classify and quantify traffic sources with UTM tagging and dark-traffic adjustments.

Updated Aug 27, 2026
Search Tags:#analytics#utm#attribution#segmentation#traffic#dark-traffic
One-click install
npx skills add https://github.com/irismaker/ai-agent-skills-hub --skill traffic-analysis-irismaker
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: traffic-analysis
Source: https://github.com/irismaker/ai-agent-skills-hub/tree/main/skills/traffic
Command: npx skills add https://github.com/irismaker/ai-agent-skills-hub --skill traffic-analysis-irismaker

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps teams understand where website traffic originates, how it is attributed, and where gaps (dark traffic) distort insights, enabling better marketing decisions and optimization.

Core Features & Use Cases

  • Traffic sources: classify and summarize organic, paid, social, referral, direct, and email traffic.
  • Attribution & dark traffic: estimate under-attributed visits and identify misattribution risks, with recommended fixes.
  • UTM tagging & segmentation: provide tagging guidelines and segmentation-ready outputs for reports.
  • Use Case: Marketing team wants a quarterly traffic attribution dashboard showing channel mix and dark-traffic adjustments.

Quick Start

Analyze the current traffic mix by source and channel and return a ready-to-action report with recommended UTM tagging and segmentation guidance.

Frequently Asked Questions about traffic-analysis

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

FAQPage Schema
How do I analyze traffic sources and attribution across marketing channels?▼

Traffic attribution analysis classifies and quantifies visits across organic, paid, social, referral, direct, and email channels. It generates segmentation-ready outputs to clarify your channel mix and support marketing optimization decisions.

What is dark traffic and how do I estimate it in my analytics data?▼

Dark traffic refers to under-attributed visits that obscure true traffic sources. Estimating dark traffic involves identifying misattribution risks within your analytics data and applying adjustments to reveal accurate channel performance.

How do I fix UTM tagging inconsistencies for campaign tracking?▼

Fixing UTM tagging requires establishing consistent naming conventions for campaign tracking. Applying standardized UTM tagging guidelines ensures accurate attribution and produces reliable segmentation-ready reporting outputs.

Do I need consistent UTM naming conventions to generate cross-channel reports?▼

Yes, consistent UTM naming conventions are required to generate accurate cross-channel reports. Standardized tagging enables proper traffic source attribution and ensures your reporting outputs are segmentation-ready.

What's the best way to create a quarterly traffic attribution dashboard?▼

Creating a quarterly traffic attribution dashboard involves analyzing your current traffic mix by source and channel. This yields an actionable report with channel classification, dark-traffic adjustments, and UTM segmentation guidance.

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