How does the skill ensure data quality?

It performs automated quality checks for completeness, freshness, and consistency, and uses z-score thresholds to detect anomalies in spend or conversions.

Does it support different attribution models?

Yes, the skill can apply various attribution models including last-click, first-click, linear, time-decay, and position-based (40-20-40) models.

Can this skill calculate custom marketing metrics?

Yes, it includes a transformation engine that calculates derived metrics such as CTR, CPC, CPA, ROAS, and engagement rates using standardized formulas.

Which platforms does the Data Pipeline skill support?

It supports a wide range of platforms including Google Ads, Meta Ads, LinkedIn Ads, GA4, Mixpanel, Mailchimp, HubSpot, and major social media networks.

Marketing Data Pipeline

Name: Marketing Data Pipeline
Author: jmagly

byjmagly

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Automatización de Marketing

Orchestrates complex marketing data workflows including automated collection, cross-channel transformation, and performance reporting.

Acerca de

This skill enables autonomous agents to manage end-to-end marketing analytics by connecting to various advertising, social, and email platforms. It handles technical challenges like API pagination and rate limits while calculating sophisticated metrics like ROAS and multi-touch attribution. By providing standardized schemas and automated quality checks, it ensures data consistency across disparate sources, making it ideal for teams needing automated reporting and real-time performance monitoring.

Características Principales

Automated data collection from 10+ marketing and analytics platforms
Standardized reporting formats for cross-channel performance analysis
67 GitHub stars
Real-time metric calculation for CTR, CPA, CPC, and ROAS
Built-in data quality validation and anomaly detection alerts
Multi-touch attribution modeling including linear and position-based

Casos de Uso

Auditing tracking consistency and identifying attribution discrepancies between platforms
Automating daily performance updates for email marketing and social media campaigns
Consolidating cross-channel advertising spend and conversion data into unified reports

Acerca de

Características Principales

Automated data collection from 10+ marketing and analytics platforms
Standardized reporting formats for cross-channel performance analysis
67 GitHub stars
Real-time metric calculation for CTR, CPA, CPC, and ROAS
Built-in data quality validation and anomaly detection alerts
Multi-touch attribution modeling including linear and position-based

Casos de Uso

Auditing tracking consistency and identifying attribution discrepancies between platforms
Automating daily performance updates for email marketing and social media campaigns
Consolidating cross-channel advertising spend and conversion data into unified reports