13-data-analysis-global

Transform raw marketing analytics into performance insights with KPI comparisons and recommendations.

Updated May 13, 2026
One-click install
npx skills add https://github.com/TimothyMt/Full-stack-mkt-v0.1 --skill 13-data-analysis-global-timothymt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: 13-data-analysis-global
Source: https://github.com/TimothyMt/Full-stack-mkt-v0.1/tree/main/skills/en/13-data-analysis-global
Command: npx skills add https://github.com/TimothyMt/Full-stack-mkt-v0.1 --skill 13-data-analysis-global-timothymt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps marketing teams stop guessing by turning raw performance data into clear, decision-ready insights and recommendations across channels and campaigns.

Core Features & Use Cases

  • Descriptive → Diagnostic → Predictive → Prescriptive reporting: produces structured analysis that moves from what happened to what to do next.
  • Cross-platform performance reasoning: analyzes Meta Ads, TikTok Ads, GA4, and e-commerce attribution tools (e.g., Triple Whale/Hyros/Northbeam) with decision rules.
  • Stakeholder-ready output with action deadlines: delivers executive summaries, anomaly flags, forecasts, and specific actions tied to owners and success metrics.

Quick Start

Ask the AI to analyze your Meta Ads + GA4 marketing performance for the last 30 days, interpret the drivers of your CPL and ROAS changes, and produce a structured report with concrete next-step actions.

Frequently Asked Questions about 13-data-analysis-global

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

FAQPage Schema
How do I analyze marketing analytics data to find the root cause of ROAS changes?

To analyze marketing analytics data, the Skill computes KPI comparisons like WoW and MoM for ROAS and CPL, performing root-cause diagnosis across channels, campaigns, and audiences to identify performance drivers. It outputs a structured diagnostic report.

Can I use this to analyze Meta Ads and TikTok Ads performance together with GA4 data?

Yes, you can analyze Meta Ads, TikTok Ads, and GA4 data together. The Skill applies cross-platform performance reasoning to your datasets, interpreting attribution changes and delivering unified performance insights.

What is the best way to generate prescriptive marketing actions from raw campaign data?

The best way to generate prescriptive actions is using the Descriptive-Diagnostic-Predictive-Prescriptive reporting framework. It transforms raw campaign data into specific next-step actions tied to owners, deadlines, and success metrics.

How do I forecast ad performance and detect anomalies in e-commerce attribution datasets?

You forecast ad performance and detect anomalies by inputting structured e-commerce attribution data with a defined time window. The Skill flags anomalies and generates forecasts alongside prescriptive recommendations.

Does this approach work for analyzing CPL shifts across different audience segments?

Yes, it works for analyzing CPL shifts across audience segments. The Skill breaks down performance by audience, creative, and time, applying decision rules to diagnose why your cost per lead changed.

What format does my marketing data need to be in for cross-platform performance analysis?

Your marketing data needs to be structured with a defined time window. The Skill processes raw structured datasets from Meta Ads, TikTok Ads, GA4, and attribution tools to compute KPI comparisons and output decision-ready reports.