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.