What types of GA4 Explorations does this skill support?

It covers all major exploration types, including Free Form, Funnel, Path, Cohort, Segment Overlap, User, and User Lifetime explorations.

Can I use this skill to analyze e-commerce data?

Yes, it provides specific guidance for analyzing monetization reports, purchase revenue, and transaction-related metrics.

How does this skill help with marketing attribution?

It explains various attribution models like Data-driven, Last click, and Linear, helping you compare them to optimize marketing spend.

Is this compatible with custom dimensions?

Yes, the skill covers how to integrate and visualize custom dimensions within both standard reports and Explorations.

Does it help with creating custom user segments?

Absolutely. It includes patterns for building User, Session, and Event-based segments to filter and compare specific audience groups.

GA4 Reporting & Analysis

Name: GA4 Reporting & Analysis
Author: henkisdabro

byhenkisdabro

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Analíticas y Monitorización

Generates comprehensive Google Analytics 4 reports and explorations to uncover actionable user insights and performance data.

Acerca de

This skill provides deep expertise in navigating and configuring Google Analytics 4 (GA4) reporting interfaces. It enables users to master both standard reports—covering acquisition, engagement, and monetization—and advanced Explorations such as funnel analysis, path visualization, and cohort studies. By offering guidance on custom segments, comparisons, and attribution modeling, the skill helps developers and analysts interpret complex data sets to optimize website performance and user retention strategies.

Características Principales

Standard Report Customization: Realtime, Acquisition, and Engagement metrics
Attribution Modeling: Comparison and implementation of data-driven models
8 GitHub stars
Audience Segmentation: User, Session, and Event-based segment creation
E-commerce & LTV: Deep-dives into monetization and lifetime value reporting
Advanced Explorations: Free Form, Funnel, Path, and Cohort analysis

Casos de Uso

Identifying conversion drop-off points in e-commerce checkout funnels
Visualizing user navigation paths to improve site architecture and flow
Comparing performance metrics across different traffic sources and demographics

Acerca de

Características Principales

Standard Report Customization: Realtime, Acquisition, and Engagement metrics
Attribution Modeling: Comparison and implementation of data-driven models
8 GitHub stars
Audience Segmentation: User, Session, and Event-based segment creation
E-commerce & LTV: Deep-dives into monetization and lifetime value reporting
Advanced Explorations: Free Form, Funnel, Path, and Cohort analysis

Casos de Uso

Identifying conversion drop-off points in e-commerce checkout funnels
Visualizing user navigation paths to improve site architecture and flow
Comparing performance metrics across different traffic sources and demographics