Calculate basic CLV
You are now ready to calculate average customer lifetime with three different methods! In this exercise you will calculate the basic CLV which multiplies average monthly spent with the projected customer lifespan.
The pandas and numpy libraries have been loaded as pd as np respectively. The online dataset has been imported for you.
Diese Übung ist Teil des Kurses
Machine Learning for Marketing in Python
Anleitung zur Übung
- Group by
CustomerIDand calculate monthly spend per customer. - Calculate average monthly spend.
- Define lifespan to 36 months.
- Calculate basic CLV by multiplying monthly average spend with the lifespan.
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
# Calculate monthly spend per customer
monthly_revenue = online.___(['___','InvoiceMonth'])['TotalSum'].___()
# Calculate average monthly spend
monthly_revenue = np.___(monthly_revenue)
# Define lifespan to 36 months
lifespan_months = ___
# Calculate basic CLV
clv_basic = ___ * lifespan_months
# Print the basic CLV value
print('Average basic CLV is {:.1f} USD'.format(clv_basic))