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  3. Customer Analytics and A/B Testing in Python

Exercise

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.

Instructions 1/3

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  • 1

    Using the proposed small_sensitivity of 0.1, find the lift in conversion rate and purchasers that would result by applying this sensitivity. Are these resulting values reasonable?

  • 2

    Now repeating the steps from before, find the lift in conversion rate and purchasers using the medium_sensitivity. In this exercise you are additionally asked to complete the step to find the increase in purchasers based on this new conversion rate.

  • 3

    Finally repeat the steps from before to find the increase in conversion rate and purchasers when using the very large sensitivity of 0.5. The steps required are the same as the previous exercise. How do the results compare those returned in the previous two exercises?