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In this data science mock interview, the interviewee discusses enhancing email marketing through detailed analytics and dashboard creation. He outlines the process of building analytics from the ground up, focusing on vital metrics like open rates and conversion rates. By collaborating with teams and using tools like Tableau, he set up effective A/B testing that incorporated product recommendations in emails, leading to significantly improved conversion rates.

Chapters (Powered by ChapterMe)
00:00 Introduction to a Data Science Mock Interview with Wei Tuan
01:52 Overview of Data Preparation and Dashboard Building Processes
02:35 Analyzing Email Marketing Metrics through Red Dashboards
03:13 Key Funnel Metrics: Open, Click, Purchase Rates
05:35 Benefits of Email Analytics and Recommendation Lists on Conversion Rates
10:46 Enhancing Email Strategies with A/B Testing
15:30 Discussing Bayesian Methods in Email Marketing for Improved Results

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