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
Exercise instructions
- Isolate the rows of
marketing
where the'marketing_channel'
is'Email'
and store the results inemail
. - Group
email
by variant and sum the unique users and store the results inalloc
. - 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()