January Experiment Update

After 20 days of careful observation, I've finally got a fairly decent handle. Now the following statistics are analysis of my individual experiment, and may not apply to you. In fact alot of factors could change how things go for you.

Firstly, I've increased the amount of immediete new visitors to a blog based upon a new post from 2.5 to 5. In truth, though, it depends upon how popular your blog is. In truth, I have no statistics or reservations as to what this might be.

Okay. So far my original statement is that a link generates .045 readers per day, with a modifier of .001 for every other link that is also out there on the web. The last experiment has given me some reason to think that this synergy does exist, and it can be classified as a result of google page-rank formula, as well as reader inundation.

I suspended the experiment at 50 backlinks, for a bit better control of the situation, and it worked out well. The average yield per backlink, per day, was .078, which is only .017 out of the predicted yield. This discrepency can be hacked up to poor writing, or any number of things.

Thugh, the actual values? A new post still generates .045 + (.00066*N), where N is the total number of backlinks that you've so far generated. Of course, these figures could be skewed depending upon how relevant your backlinks are, or the content charachter.

While I have no way to measure my content, it was too easy to measure my word count. My average comment was 21 words long, and we can assume that this was the point of maximum effect per word before depreciation per word began.

The depreciation formula was the amount of words minus 21 (as depreciation started at 21), times by the result of 1/21 (assuming that it is the scientific median, this made sense to me). So you might be saying, well doesnt that make a one word comment a fantastic marketing tool? That depreciation modifier (or inversely appreciation modifier), conflicts with the number of words used, so therefore no. The maximum affect per word is achieved at 21, but this is by no means the maximum affect per comment.

Currently, Im working with the data in Excel. Tommorrow I may have something new to post.