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ThreadDrop — GA4 Web Analytics Case Study

A complete GA4 analytics audit for ThreadDrop, a fictional online fashion brand experiencing stalled revenue despite growing traffic. Built using the Google Analytics 4 Demo Account (Google Merchandise Store) for February 2026.


Business Problem

ThreadDrop's traffic was growing but revenue had stalled. Management could not identify the cause — was it the website, the mobile app, the marketing campaigns, or the product range?

This analytics audit used 12 GA4 reports to diagnose the problem with precise, data-backed evidence.


Key Findings

Finding 01 — Mobile-Desktop Revenue Gap

  • Mobile users = 46.6% of audience but generate only 4.3% of revenue ($6,724 vs $149,595)
  • Mobile purchase completion rate from product viewers: 2.32% vs desktop 6.46%
  • Mobile checkout abandonment rate: 71.26% — nearly 3 in 4 mobile users who reach payment do not complete it
  • Root cause: broken mobile checkout experience, not a product or pricing issue

Finding 02 — Geographic Revenue Concentration

  • 93.6% of total revenue ($147,692) comes from the United States alone
  • India = 3rd largest traffic source globally (5,691 sessions) yet generates just $193 in revenue ($0.04 per user vs $6.01 in the US)
  • South Korea (910 sessions) and Brazil (730 sessions) generate zero revenue
  • Implication: marketing spend on non-US geographies is delivering near-zero return

Finding 03 — Ghost Engagement

  • 956K total events and 1m 05s average engagement time look healthy on the surface
  • Path Exploration reveals: of 15,130 users who viewed a product, 42.5% go back to browsing rather than adding to cart
  • Only 10.1% of product viewers proceed to add_to_cart
  • Users appear active but product pages are failing to convert intent into action

Finding 04 — Channel ROI Inversion

Channel New Users Revenue per User
Email 41 $8.97
Cross-network 1,898 $5.34
Referral 1,934 $2.24
Direct 31,022 $2.92
Paid Search 1,682 $2.07
Organic Social 309 $1.52

Email users generate 4x more revenue per person than Paid Search — yet Email receives a fraction of the budget and attention.


GA4 Reports Analysed

# Report Purpose
1 Traffic Acquisition Channel performance and session quality
2 User Acquisition First-touch attribution and new user revenue
3 Engagement Overview Session depth and engagement metrics
4 Pages and Screens Product page behaviour and top content
5 Events Report Ecommerce funnel event volumes
6 Demographics Geo revenue distribution by country
7 Tech Overview Device and platform split
8 Funnel Exploration Cross-device purchase funnel drop-off
9 Path Exploration Post-product-view user behaviour
10 Free Form Exploration Channel x Revenue matrix
11 Cohort Analysis Weekly user retention rates
12 Monetization Overview Revenue health and top products

Business Metrics Summary

Metric Value
Total Revenue $156,683.80
Total Sessions 78,370
Total Users 59,141
Total Purchases 940
Avg Revenue per Active User $2.75
Overall Engagement Rate 44.76%
Top Product Google Pen White (624 units)
Top Revenue Country United States ($147,692)

Recommendations

  1. Fix mobile checkout — audit the payment flow on mobile, reduce form fields, enable one-tap payment options
  2. Reallocate marketing budget — reduce spend on low-ROI channels, invest in Email and Referral
  3. Improve product page conversion — add urgency signals, social proof, and clearer CTAs to reduce ghost browsing
  4. Geo-targeted strategy — pause paid spend in zero-revenue countries or build geo-specific landing pages

Project Structure

├── ThreadDrop_GA4_CaseStudy.pptx # Full presentation deck ├── ThreadDrop_Case_Study_GA4_Reports.pdf # All 12 GA4 report extractions └── README.md


Data Source

Google Analytics 4 Demo Account — Google Merchandise Store Period: February 2026

Note: ThreadDrop is a fictional brand created for this case study. All data is sourced from the publicly available Google Analytics 4 Demo Account.


Author

Harshit Saraf PGDM Business Analytics — Vivekanand Education Society's Business School, Mumbai LinkedIn · GitHub

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GA4 analytics case study for a fictional e-commerce brand - diagnosing stalled revenue using 12 GA4 reports, funnel analysis and cross-device drop-off insights.

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