marketing-analyst

Analyze campaign performance and generate budget reallocation recommendations.

Updated Jun 27, 2026
One-click install
npx skills add https://github.com/JDMAXilius/Brand-building --skill marketing-analyst-jdmaxilius
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: marketing-analyst
Source: https://github.com/JDMAXilius/Brand-building/tree/main/skills/marketing-analyst
Command: npx skills add https://github.com/JDMAXilius/Brand-building --skill marketing-analyst-jdmaxilius

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Marketing teams frequently struggle with inconsistent campaign performance tracking, unclear multi-touch channel attribution, and inefficient budget allocation that wastes spend on low-ROI initiatives. This skill provides a standardized, end-to-end workflow to eliminate these gaps and turn raw marketing data into actionable insights.

Core Features & Use Cases

  • Multi-touch attribution modeling: Compare 5+ attribution models (first-touch, last-touch, linear, time-decay, position-based) to accurately assign credit to channels across the full buyer journey.
  • Campaign performance analysis: Calculate core marketing metrics (CPL, CAC, ROAS, conversion rate) to identify top and underperforming campaigns.
  • Budget optimization & forecasting: Get data-driven budget reallocation recommendations and generate statistically grounded forecasts for leads, revenue, and pipeline.
  • Use Case: A B2B marketing team can use this skill to analyze Q1 campaign performance, compare attribution models to identify over/under-valued channels, and shift 10% of low-performing social ad spend to high-ROI email nurture sequences for Q2.

Quick Start

Use the marketing-analyst skill to analyze the attached Q1 2026 campaign performance CSV file and generate a full budget reallocation recommendation report with projected ROI impact.

Frequently Asked Questions about marketing-analyst

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

FAQPage Schema
How do I calculate multi-touch attribution to compare channel credit across the buyer journey?

Multi-touch attribution modeling compares five or more models, including first-touch, last-touch, linear, time-decay, and position-based, to accurately assign conversion credit to marketing channels. This identifies over-valued and under-valued channels across the full buyer journey.

How do I optimize my marketing budget allocation based on ROAS and CPL data?

Marketing budget optimization uses calculated ROAS, CPL, and CAC metrics to identify top and underperforming campaigns, then generates data-driven reallocation recommendations. This shifts spend from low-ROI initiatives to high-performing channels for better returns.

What's the best way to run statistical A/B test analysis for campaign performance?

Statistical A/B test analysis evaluates campaign performance variations to determine significance and calculate core conversion metrics. This standardized workflow identifies top performing variations and eliminates inconsistent performance tracking.

Can I generate marketing forecasts for leads, revenue, and pipeline metrics?

Marketing forecasting generates statistically grounded projections for leads, revenue, and pipeline metrics. These forecasts apply to both B2B and B2C use cases, supporting executive reporting with actionable insights for upcoming quarters.

Do I need a specific data format to calculate campaign performance metrics like CAC and conversion rate?

Campaign performance analysis requires raw marketing data, such as a campaign performance CSV file, to calculate CAC, CPL, ROAS, and conversion rates. This standardized end-to-end workflow processes the raw data to identify top and underperforming campaigns.

Why does my marketing ROI measurement show inconsistent results across different channels?

Inconsistent marketing ROI measurement often stems from unclear multi-touch channel attribution and non-standardized tracking. Applying a unified analytics workflow calculates accurate ROAS and assigns credit correctly, eliminating wasted spend on low-ROI initiatives.