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Case Studies

Case Study 1: Google Merch Store: $75K Revenue Leak Identified

The Challenge

In June 2025, revenue dropped by 33.2% despite attracting over 132,000 users. The conversion rate was just 0.01%, and average revenue per user fell sharply. The store was leaking revenue, but where?

What I Did (Approach)

I analysed GA4 data by channel, country, device, and demographics. I built Looker Studio dashboards to trace performance patterns and identify hidden blockers across the funnel.

The Insights

84% of revenue came from the U.S., despite traffic from 20+ countries.
Direct traffic drove 55% of revenue, but Email and Paid Search underperformed.
“Unknown” user segments generated 39% of revenue, highlighting personalisation gaps.
High-potential regions like India and China had near-zero conversions.

Outcome / Plan

Plug international revenue leaks via localisation and UX testing.
Double down on high-converting Direct and Organic Search traffic.
Fix attribution blind spots and improve retargeting.
Recovering even 1% of missed international conversions could reclaim $75K+ monthly.

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Case Study 2: Seth Grabel : Optimized Emails Drive 40.1% open rate and 8.2% CTR

The Challenge

Seth Grabel, a high-performing entertainer with a vibrant audience, wanted to increase engagement through his email campaigns. While emails were being sent consistently, open rates and click-through rates varied unpredictably. He needed a smarter, data-informed strategy to maximize performance and deepen audience connection.

What I Did (Approach)

I implemented an iterative email marketing strategy using GoHighLevel, focusing on three key areas:

Subject Line A/B Testing: Tested multiple formats and tones to determine what sparked the most interest.
Content Personalization: Tailored the body of the emails to align with audience behavior, recent performances, and seasonal events.
Performance Tracking & Optimization: Monitored metrics closely and adjusted strategy based on what the data revealed.

The Insights

Value-first Subject Lines → drove a 30%+ lift in open rates.
Clear, personalized CTAs → improved click-through rates.
Resending unopened emails without personalization yielded low clicks (0.2%), highlighting the importance of customized follow-ups.
Creative content structure (storytelling + visuals) was more engaging than generic updates.

Outcome / Plan

40.1% open rate and 8.2% click rate for the blog campaign proved the new approach worked.
Segmentation and targeting will be scaled for future campaigns.
A/B testing will be expanded beyond subject lines to include visuals, CTA placements, and send times.
Plan to launch personalized automations for event follow-ups and booking inquiries.

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Case Study 3: FloodIt Game : 132,791 active users and 284,806 Sessions transformed Into Actionable Growth

The Challenge

Floodit, a popular Android puzzle game, had seen steady growth in global users, but the team lacked clarity on platform performance, device engagement, and regional behaviors. With millions of active users across varying devices and countries, understanding the tech stack impact on user behavior was critical for scalin

What I Did (Approach)

I conducted a full technical performance analysis using Google Analytics 4 data and visualized the results in Looker Studio. I focused on top tech metrics—platform, operating system, browser, screen resolution, and country—and evaluated session duration, active user trends, and device engagement.

The Insights

Android users dominated (92%), but session durations varied significantly across screen sizes.
Desktop users (web/emulator) showed longer average sessions, hinting at potential for a web launch.
Bangladesh and India led traffic, but lacked localized experiences.
A majority used mid-range resolutions (e.g., 1920x1080), making UX optimization across Android screens a priority..

Outcome / Plan

Recommended Android-first optimization, especially for top screen resolutions.
Proposed localization initiatives for high-traffic countries.
Suggested feature A/B testing for improving session duration and retention.
Built a Looker Studio dashboard to monitor ongoing tech KPIs for continuous iteration.