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Explore electric vehicle sales and customer engagement through data-driven insights. Optimize email campaigns for a 2.39% click-through rate and boost customer retention. πŸ“ŠπŸš€

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Sourav-Pattanayak/Electric-Vehicle-Sales-An-SQL-Case-Study

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πŸ“Š Project Summary πŸš€

In this project, we've unearthed invaluable insights that can turbocharge our business growth and progress tracking, utilizing SQL for robust data analysis. Here's a quick overview of what we've achieved:

πŸ’° Revenue Breakdown:

  • In 2016, our Sprint Scooter model raked in a whopping $56.25 million, accounting for 30.3% of all electric vehicle scooter sales, with data extracted using SQL.

πŸ“ˆ Sales Highlights:

  • September 2016 witnessed our highest monthly sales revenue, soaring to $100.05 million, as reported in our SQL-generated data analysis.
  • Our very first Sprint Scooter was sold on October 10, 2016, starting at $95,998. Please refer to the attached SQL file for the code section related to initial sales data.
  • During the initial 7 days (Oct 10 - Oct 16, 2016), we moved a total of 107 units, as recorded in our SQL database.
  • On October 20, 2016, Corpel automobiles saw a cumulative sales volume of 6 units in the last 7 days, with details sourced from our SQL records.
  • The peak sales day was June 8, 2018, with 49 units sold, as confirmed through SQL analysis.

πŸ“§ Email Insights:

  • The email subject "Save the Planet with some Holiday Savings" garnered the highest open count, with a staggering 9,415 opens, as documented in our SQL-generated email metrics.
  • Customer 25031 took the crown for opening the most emails, with a remarkable 10 opens, a fact captured through SQL data extraction.
  • On average, customers took around 418.30 days to make their second purchase, a statistic derived from our SQL analysis.

πŸ” Customer Analysis:

  • We identified the top 3 customers with the most opened emails for each product model, utilizing SQL to generate this customer insight.
  • Highlighted the top 5 customers who not only opened the most emails but also made purchases, showcasing their counts and purchase amounts, with data sourced from our SQL database.

πŸ“« Email Metrics:

  • Calculated bounce rates for each email subject, focusing on emails sent to customers who made a purchase, using SQL to process this email data.
  • Determined the click-through rates (CTR) for the top 2 email advertisement subjects, with "25% off all EVs. It's a Christmas Time" reigning supreme with the highest CTR at 2.39%, as derived from SQL-based email metrics.

This comprehensive project has equipped us with actionable insights to propel our business to new heights, all backed by the power of SQL data analysis. πŸš—πŸ’ΌπŸ’‘ Please refer to the attached SQL file for the code sections related to our data analysis.

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Explore electric vehicle sales and customer engagement through data-driven insights. Optimize email campaigns for a 2.39% click-through rate and boost customer retention. πŸ“ŠπŸš€

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