Quarterly Report: Google Analytics analysis
Breaking down the past four months of the Analytics report for this blog reveals that the number of visitors correlates well with the state of the author’s romantic involvements. Let’s look at this model a little more closely. The first two weeks displayed indicate the final portion of a long-term relationship. Unsurprisingly, at this point very few people are curious about the author or what he is doing. Most visits are from his mother or people who Bing, “where should I shit in the woods?”. This period will serve as baseline.
Now bring your attention to the upward trend at the end of August. Despite well-intentioned advice, the author bounds across the post-breakup “healing period” and plops his tender rump roast right back on the meat rack. This decision causes a brief surge of interest in the author’s company and his blog’s topics of discussion including: male celebrities he would do, puppies, and suicidal baby seals. If you look carefully, you’ll notice that this surge appears to be a linear combination of two, or even three peaks. The proposed model doesn’t completely succeed in describing this phenomenon, but this was a period of time when the author thought he was at his most awesome, so it’s possible that some of the observed interest was a result of his acting with baseless levels of self-confidence.
Towards the latter half of October the author makes startling personal discoveries that cause a sharp dip in his perception of being awesome as well as interest in his company. We see minor recovery periods in early November as well as Thanksgiving, one of which can be explained with the current model and the other by a brief period of professional publicity the author endured at the hands of his peers. This model is in the process of being verified with future time points.
Happy Holidays,
-Accounting
Breaking down the past four months of the Analytics report for this blog reveals that the number of visitors correlates well with the state of the author’s romantic involvements. Let’s look at this model a little more closely. The first two weeks displayed indicate the final portion of a long-term relationship. Unsurprisingly, at this point very few people are curious about the author or what he is doing. Most visits are from his mother or people who Bing, “where should I shit in the woods?”. This period will serve as baseline.
Now bring your attention to the upward trend at the end of August. Despite well-intentioned advice, the author bounds across the post-breakup “healing period” and plops his tender rump roast right back on the meat rack. This decision causes a brief surge of interest in the author’s company and his blog’s topics of discussion including: male celebrities he would do, puppies, and suicidal baby seals. If you look carefully, you’ll notice that this surge appears to be a linear combination of two, or even three peaks. The proposed model doesn’t completely succeed in describing this phenomenon, but this was a period of time when the author thought he was at his most awesome, so it’s possible that some of the observed interest was a result of his acting with baseless levels of self-confidence.
Towards the latter half of October the author makes startling personal discoveries that cause a sharp dip in his perception of being awesome as well as interest in his company. We see minor recovery periods in early November as well as Thanksgiving, one of which can be explained with the current model and the other by a brief period of professional publicity the author endured at the hands of his peers. This model is in the process of being verified with future time points.
Happy Holidays,
-Accounting
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