I scraped the current world population data of 233 countries from a real website using request, BeautifulSoup, and pandas, then exported the result into a CSV.

I analyzed the data and provided actionable insights to improve the performance of marketing activities with a special focus on marketing campaigns for the key objectives of the UFood marketing and customer experience data analyst case study.

I performed univariate and bivariate analyses and Chi-square, Shapiro-Wilk, Levene, and Mann-Whitney U tests to check the null hypothesis: There is no difference in conversion rates for a categorical variable with multiple values.

As a result, the null hypothesis is rejected with the following results:

1. Showing the ads makes a positive difference

2. Which days and hours to show the ads also make sense

3. The higher the median amount of total ads people see, the greater the conversion.

4. Repeated targeting seems to be helpful for better conversion