13-phan-tich-du-lieu

Convert marketing performance data into structured markdown reports with trend tables and anomaly flags.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you transform marketing and product performance data into clear insights and concrete next actions, instead of listing raw numbers.

Core Features & Use Cases

  • Insight-first reporting: Produces descriptive, diagnostic, predictive, and prescriptive output based on your provided metrics.
  • Multi-source analysis framework: Works across Meta Ads, TikTok Ads, GA4, and Google Sheets, organizing metrics by channel, campaign, creative, and time.
  • Anomaly detection + attribution guidance: Flags abnormal changes (e.g., CPL/ROAS/engagement) and suggests likely root causes, plus guidance on Last/First/Linear attribution comparisons.
  • Ready-to-share report template: Generates a structured markdown report with executive summary, trends (WoW/MoM/seasonality), and action plans with owners and deadlines.

Quick Start

Paste your latest Meta Ads/TikTok Ads/GA4 or Google Sheets metrics (including spend, impressions, clicks, leads, and revenue) and ask for a complete structured data analysis report with 3 key insights and a 48-hour action plan.

Frequently Asked Questions about 13-phan-tich-du-lieu

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

FAQPage Schema
How do I analyze Meta Ads and TikTok Ads performance data to generate actionable insights?

To analyze Meta Ads and TikTok Ads performance data, paste your spend, impressions, clicks, leads, and revenue metrics to generate a structured markdown report. This report provides descriptive, diagnostic, predictive, and prescriptive insights with a 48-hour action plan.

Can I use GA4 reporting data for cohort analysis and anomaly detection?

Yes, you can use GA4 reporting data for cohort analysis and anomaly detection by providing your metrics for processing. The analysis flags abnormal changes in engagement or ROAS and suggests likely root causes directly in the output.

What's the best way to diagnose CPL and ROAS anomalies across multiple ad channels?

The best way to diagnose CPL and ROAS anomalies is to input your cross-channel metrics for automated anomaly detection. The system flags abnormal performance shifts and provides attribution guidance comparing Last, First, and Linear attribution models.

Does this approach support time-window comparisons like WoW and MoM for marketing analytics?

Yes, this approach supports time-window comparisons like WoW, MoM, and seasonality for marketing analytics. It organizes your metrics by channel, campaign, creative, and time to produce trend tables and an executive summary in markdown format.

How do I create a data-driven action plan from Google Sheets marketing metrics?

You create a data-driven action plan from Google Sheets marketing metrics by pasting the raw data into the prompt. The system then produces a ready-to-share report linking KPIs to actionable steps, complete with assigned owners and deadlines.

What specific data do I need to prepare for a comprehensive ads performance attribution analysis?

You need to prepare specific data including spend, impressions, clicks, leads, and revenue across your channels. You may also answer up to four clarifying questions to ensure the output accurately diagnoses trends and compares attribution models.