From the course: The Data Science of Experimental Design

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Operationalize counting conversions

Operationalize counting conversions

From the course: The Data Science of Experimental Design

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Operationalize counting conversions

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- [Instructor] Now that we have identified and prioritized our conversions, we will operationalize counting them. Remember, when we operationalize counting we come up with an operational way to actually count the metrics we are trying to measure. I put the priority conversions we selected in these three categories, payment for the certificate of completion, the word-of-mouth marketing of sending a tweet, and engagement with the multi-media items in the module. I often say there's a devil in the details. Well, there's a devil in these details as well. Who exactly is doing the payment, the tweet, and the engagement? And how exactly are they engaging? Remember, whatever we actually count here will end up being a numerator in a conversion rate, so we need to make sure we do not get lost conceptually when operationalizing how we count these conversions. Let's get into the details. Let's start with payment. That is pretty…

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