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A Retailer of Classic Cars Scale Models Sales Performance and Customers Analysis

Conducted product and customer analysis on SQL for a retailer of scale models of classic cars. The analysis helps:

  • Prevent the best-selling products from out of stock.
  • Understand current customers including VIP customers (who bring the most profits), and the less-engaged customers.
  • Examine customer life value to create marketing communication strategies.

https://www.mysqltutorial.org/mysql-sample-database.aspx

Key Metrics

  • Sales: best selling car models in low stock
  • Plan Customer: most engaged, least engaged, and new customers
  • Plan Period: monthly and yearly plan

Summary of Insights

Plan re-stock:

  • The car models in the urgent need of restock would be those which sum(quantityOrdered)/quantityInStock is highest and overlapped it with the highest performing products. These are the products which are currently the most in need of restocking:

-- S10_1949 1952 Alpine Renault 1300

-- S18_1749 1917 Grand Touring Sedan

-- S18_2238 1998 Chrysler Plymouth Prowler

Plan Period:

  • The number of new customers has been decreasing since 2003, and in the 2004, the store had the lowest values.
  • The store has not had new customers since September of 2004, because the year 2005, which is present in the data as well, did not show up

Plan Customer:

  • Melbourne, New York, California, Nantes, and Madrid are 5 cities which have the most engaged customers.
  • Most of the least engaged customers seem to be from Europe - investigate further whether the store company should spend more money on existing customers or acquiring new customers.

Recommendations

  • It is recommended to spend money on acquiring new customers, because the store didn't have new customer since September of 2004.
  • More advertisements and promotions in the top 5 cities would be recommended as well.
  • Based on Customer Lifetime Value, if we want get 10 new customers next month, an average customer generates 390,395 dollars - based on this, the marketing and finance team can investigate further how much we should spend on acquiring new customers.

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