campaign-analyzer

Analyze cross-channel campaign performance and compute blended CAC from connected sources.

2|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/ekatasingh1107/b2b-gtm-skills --skill campaign-analyzer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: campaign-analyzer
Source: https://github.com/ekatasingh1107/b2b-gtm-skills/tree/main/skills/composites/campaign-analyzer
Command: npx skills add https://github.com/ekatasingh1107/b2b-gtm-skills --skill campaign-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Consolidates fragmented campaign data from email, paid ads, social, organic, and LinkedIn into a unified view to reveal true performance and guide budget decisions.

Core Features & Use Cases

  • Normalize metrics across channels to enable apples-to-apples comparisons.
  • Identify top and bottom performers and compute blended CAC for the current period.
  • Generate budget recommendations for weekly or monthly reviews, with channel-level tradeoffs and scenarios.

Quick Start

Run a weekly campaign review to generate a blended CAC report and recommended budget shifts.

Frequently Asked Questions about campaign-analyzer

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

FAQPage Schema
How do I analyze cross-channel campaign performance for budget decisions?▼

Cross-channel campaign analytics consolidate fragmented data from email, paid ads, social, organic, and LinkedIn into a unified view to reveal true performance and compute blended CAC for budget decisions.

What is blended CAC and how is it calculated across marketing channels?▼

Blended CAC is calculated by normalizing metrics across email, paid ads, social, organic, and LinkedIn channels to enable apples-to-apples comparisons and identify top and bottom performers for the current period.

Can I compare email outreach and paid ads performance in a single report?▼

Yes, you can compare email outreach and paid ads by normalizing metrics across channels to enable apples-to-apples comparisons within a unified performance view.

How do I generate budget recommendations from my campaign data?▼

Budget recommendations are generated by analyzing cross-channel performance to identify top and bottom performers, producing channel-level tradeoffs and scenarios for weekly or monthly reviews.

Do I need connected data sources to compute cross-channel campaign metrics?▼

Yes, the analyzer reads agency.config.json and pulls performance data from connected sources to surface actionable insights and calculate a blended CAC across your marketing channels.