attribuly-dtc-analyst

Analyze DTC marketing performance using Attribuly first-party attribution data.

8|1|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/Attribuly-US/ecommerce-dtc-skills --skill attribuly-dtc-analyst
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: attribuly-dtc-analyst
Source: https://github.com/Attribuly-US/ecommerce-dtc-skills/tree/main
Command: npx skills add https://github.com/Attribuly-US/ecommerce-dtc-skills --skill attribuly-dtc-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires attribuly-api, mysql, clickhouse, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps DTC brands maximize their business goals (ROAS, Profit, LTV, or New Customer Acquisition) by bridging the gap between "Platform Data" and "Attribution Truth".

Core Features & Use Cases

  • Automated Reporting: Generate weekly and daily reports for marketing performance.
  • Performance Analysis: Analyze ad performance, customer journeys, and landing pages.
  • Budget Optimization: Optimize advertising budgets and target audiences.
  • Creative Analysis: Evaluate ad creatives and identify fatigue.
  • Attribution Analysis: Diagnose discrepancies between ad platforms and store data.
  • Use Case: Imagine you have a Shopify store and want to analyze the performance of your Google Ads campaigns. This Skill can automatically generate a weekly report, analyze the performance of your ads, and provide recommendations for optimization.

Quick Start

Analyze the performance of my Google Ads campaigns for the last week using the attribuly-dtc-analyst skill.

Frequently Asked Questions about attribuly-dtc-analyst

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

FAQPage Schema
How do I diagnose attribution discrepancies between ad platforms and my store data?

To diagnose attribution discrepancies, AI marketing analysis compares platform data with first-party attribution. This identifies gaps between reported ad performance and actual store conversions to reveal true ROAS.

What is the best way to optimize advertising budgets for a DTC brand?

The best way to optimize advertising budgets is by analyzing customer journeys and ad performance data. This approach adjusts target audiences and reallocates spend to maximize DTC business goals like profit and LTV.

How do I generate automated weekly reports for Google Ads performance?

You generate automated weekly reports by connecting your store data with an Attribuly API key. The system analyzes your Google Ads campaigns and automatically produces daily and weekly marketing performance summaries.

Can I analyze ad creatives and identify fatigue using first-party attribution data?

Yes, you can analyze ad creatives and identify fatigue by evaluating creative performance against first-party attribution data. This determines which creatives drive actual DTC business goals and need replacement.

Do I need a database connection and Attribuly API key to run marketing analysis?

Yes, you need an Attribuly API key and database connections like MySQL or ClickHouse. These dependencies are required to access your platform data and perform comprehensive AI marketing analysis.

How does analyzing the customer journey improve landing page performance?

Analyzing the customer journey improves landing page performance by tracking user interactions across touchpoints with first-party attribution. This identifies friction points and optimizes ad performance to increase conversions.