Additionally, each source provides a different response rate, since visitors from sites
whose topic is closely linked to the e-books being sold are more likely to buy an e-book,
as are visitors from sites whose median income is higher. As a result, it??™s difficult to analyze
the sales from the different sources.
You would like to use Ruby to analyze your web logs and determine exactly how
many sales are being derived from each source, as well as exactly how much each sale
costs. If the average sale cost from an advertiser is more than the value of each sale, then
the advertiser should be dropped. On the other hand, spending should be increased on
an advertiser whose cost per sale is particularly low. You want to create a report that has
nice, attractive graphs with this data, and you want to be able to easily update the reports
CHAPTER 10 n CALCULATING COSTS BY ANALYZING APACHE WEB LOGS 192
with a web interface. Additionally, these reports should be easy to redistribute, so that
you can send them to your less technically savvy business partners.
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