/kickstarter-analysis

This project uses pivot tables and statistical analysis to analyze the success of Kickstarter campaigns.

kickstarter-analysis

About this project

In this project, I organized and analyzed a database of 4,000 past Kickstarter projects to evaluate the number of backers of successful and unsuccessful campaigns. Results were analyzed within Excel using pivot tables and statistical analysis.

Insights

  • More Kickstarter campaigns are created for Theater and Plays than for any other category or subcategory.
  • Kickstarter campaigns about Food and Games fail more often than succeed.
  • December may be a month to avoid launching a new campaign on Kickstarter. During the month of December from 2009 to 2017, Kickstarter campaigns failed more often than succeeded.

Dataset limitations

  • This is likely a small sample size of Kickstarter campaigns from 2009 to 2017. Data may not accurately represent each campaign category.
  • Economic conditions influence donations, which in turn influence campaign success in turn. This is not factored into the data.
  • Campaign success is defined as the campaign being fully funded, however there may be other factors to consider such as the number of backers, backer rewards received, the creator’s health and wellbeing, etc.
  • Kickstarter’s product has evolved over the years. The data does not factor in the overall number of Kickstarter users as the product has grown. Platform advertising, product changes and total number of users may have had an effect on campaign success as well.

Other ways to explore the data

  • Bar chart to visualize which campaigns fared best by country, using the number of backers.
  • Scatter plot to see if there is any correlation between ‘campaign state’ and ‘average donation’, or ‘length of campaign’.