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  3. Analyzing Marketing Campaigns with pandas
  • 1

    Pandas

    Free

    In this chapter, you will review pandas basics including importing datasets, exploratory analysis, and basic plotting.

  • 2

    Exploratory Analysis & Summary Statistics

    In this chapter, you will learn about common marketing metrics and how to calculate them using pandas. You will also visualize your results and practice user segmentation.

  • 3

    Conversion Attribution

    In this chapter, you will build functions to automate common marketing analysis and determine why certain marketing channels saw lower than usual conversion rates during late January.

  • 4

    Personalization A/B Test

    In this chapter, you will analyze an A/B test and learn about the importance of segmentation when interpreting the results of a test.

Initializing

Exercise

Comparing language conversion rate (II)

Next, you want to look at the conversion rate by the language that the marketing asset was shown in. While many of your users speak English, some prefer another language. Let's check to make sure marketing material translated well across languages.

You can analyze metrics by specific demographics using .groupby(). Rather than looking at the overall conversion rate in the dataset, you instead group by language preference, which allows you to determine whether the marketing campaign was more effective in certain languages.

Instructions

100 XP
  • Group the marketing DataFrame by language_displayed and count the number of unique users in the dataset.
  • Group marketing by language_displayed again, this time calculating the number of unique users who converted.
  • Calculate the conversion rate for all languages.