Selected Work & Case Studies

Marketing Analysis That Leads to Better Decisions

I use marketing and sales data to understand what's working, find opportunities for improvement, and make better decisions about where to spend time and money. These case studies explain how I approach common challenges in e-commerce marketing, from advertising performance to email automation and customer retention.

Case Study 01 / Growth Marketing

How I Analyze E-commerce Marketing Performance

Google Ads, Meta Ads, email marketing, and Shopify can all report different numbers for the same business. I explain how I compare those reports, identify tracking issues, and evaluate marketing performance without giving multiple channels credit for the same sale.

What I Cover

  • Comparing advertising spend with attributed revenue
  • Understanding how marketing channels share credit for sales
  • Reviewing traffic quality and conversion rates
  • Identifying tracking and reporting problems
  • Making more informed advertising budget decisions
Shopify Google Ads Meta Ads Klaviyo
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Case Study 02 / Email Marketing

How I Audit E-commerce Email Marketing in Shopify and Klaviyo

Email automations can generate sales, but that doesn't mean every message is performing as well as it could. I walk through how I review email performance, identify opportunities to improve customer retention, and compare email revenue reports with actual Shopify sales.

What I Cover

  • Identifying the most valuable automated email flows
  • Reviewing individual email performance
  • Improving customer targeting and retention
  • Comparing revenue, order value, and profitability
  • Checking Shopify and Klaviyo reporting differences
Shopify Klaviyo Email Automation Retention
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My Approach

From Data to Action

My approach to marketing analysis is straightforward. I start by understanding the numbers, look for anything that doesn't add up, and focus on changes that could make a meaningful difference.

01

Review the Data

Compare marketing reports with sales data to understand what's actually happening.

02

Find Opportunities

Identify underperforming campaigns, tracking problems, and areas worth testing.

03

Recommend Changes

Turn findings into practical next steps and measure whether they improve results.

About these case studies: These articles demonstrate my approach to e-commerce marketing analysis. Financial figures and performance examples are fictional and do not represent verified results from a specific employer or client.

Work With Me

Want a Clearer Picture of Your Marketing Performance?

I help businesses understand their marketing data, identify opportunities to improve performance, and make more informed decisions. If you're looking for help with e-commerce analytics, paid advertising, or email marketing, let's talk.

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