Sensitivity
Continuing with the conversion rate metric, you will now utilize the results from the previous exercise to evaluate a few potential sensitivities that we could make use of in planning our experiment. The baseline conversion_rate
has been loaded for you, calculated in the same way we saw in Chapter One. Additionally the daily_paywall_views
and daily_purchases
values you calculated previously have been loaded.
This exercise is part of the course
Customer Analytics and A/B Testing in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
small_sensitivity = 0.1
# Find the conversion rate when increased by the percentage of the sensitivity above
small_conversion_rate = conversion_rate * (1 + ____)
# Apply the new conversion rate to find how many more users per day that translates to
small_purchasers = daily_paywall_views * small_conversion_rate
# Subtract the initial daily_purcahsers number from this new value to see the lift
purchaser_lift = small_purchasers - daily_purchases
print(small_conversion_rate)
print(small_purchasers)
print(purchaser_lift)