JOUR 651 Lecture 87: Linearity and Order of Metrics
18 May 2020
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Document Summary
Any form of data you have will always have a story behind it and reason as to why the numbers are saying and showing what they are. Regardless of the many ways to approach stories, the end is always linear. Causality is a huge factor in analytics that brings an interesting aspect to your potential findings because you aren"t always aware of the initial cause that results in an effect. You might think that because you received more followers that your content is performing better. But, you need to think about this correlation and if the new followers are from that content at all. To approach these kinds of problems, an easy method is looking at your analytics. In digital marketing, it can be challenging to find performance causes and correlations. This is because campaigns and initiatives are spread across various channels and effected differently online. So, it"s a lot harder to provide proof.
