Test allocation

The email portion of this campaign was actually run as an A/B test. Half the emails sent out were generic upsells to your product while the other half contained personalized messaging around the users’ usage of the site.

Before you begin analyzing the results, you will check to ensure users were allocated equally to the test and control groups.

This exercise is part of the course

Analyzing Marketing Campaigns with pandas

View Course

Exercise instructions

  • Isolate the rows of marketing where the 'marketing_channel' is 'Email' and store the results in email.
  • Group email by variant and sum the unique users and store the results in alloc.
  • Plot the results of alloc in a bar chart.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Subset the DataFrame
email = ____

# Group the email DataFrame by variant 
alloc = ____

# Plot a bar chart of the test allocation
____
plt.title('Personalization test allocation')
plt.ylabel('# participants')
plt.show()