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Sales Analysis

This sales analysis done using public Amazon sales dataset and gdp dataset from Kaggle.

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Provided are the countries with the highest revenue, number of countries, number of sales, and revenue per customer. Things to note

  • All in western europe

  • United Kingdom dominates: % of overall customers, % of revenue, % of sales.

  • Revenue per customer (how much a customer every year) introduces some outliers.

  • Country-level data (literacy rates, access to electricity, GDP per capita) aggregated to the sales data.

  • Ran a regression tree and revealed that there are three segments of countries

  • High revenue countries had much higher revenue, larger markets, revenue per customer, customers, and sales. 

    • However, not associated with higher GDP. High revenue market had lower GDP than medium revenue market.
    • Low revenue includes some developing countries. 

Presentaion-12 Correlation w/ GDP per Capita Scatterplot shows no significant correlation w/ GDP per capita. Plays an important role but not the only factor. Need to consider market size and other variables. 

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  • High price goods account for less than 4% of total revenue and if the margins are thin for those, the company should specialize in mid-low priced goods.
  • Largest growth in revenue in high revenue countries happen in the first qurter
  • Further investigattion required for Sweden & Australia market
    • Theses countries have high GDP per capita. People have the money to spend.
    • Higher Revenue per Customer than Germany, UK, Ireland combined. 
    • Massive growth between 2010 and 2011. In Australia, number of ustomers increased 350% and the revenue increase 135 times over.

Credits: This presentation template was created by Slidesgo, and includes icons by Flaticon, and infographics & images by Freepik

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