Web mining
extends analysis much further by combining other corporate information with Web
traffic data. This allows accounting, customer profile, inventory, and
demographic information to be correlated with Web browsing, which answers
complex questions such as:
·
Of the people who hit our Web site, how many purchased
something?
·
Which advertising campaigns resulted in the most
purchases, not just hits?
·
Do my Web visitors fit a certain profile? Can I
use this for segmenting my market?
Practical
applications of Web mining technology are abundant, and are by no means the
limit to this technology. Web mining tools can be extended and programmed to
answer almost any question.
Web mining
can provide companies managerial insight into visitor profiles, which help top
management take strategic actions accordingly. Also, the company can obtain
some subjective measurements through Web Mining on the effectiveness of their
marketing campaign or marketing research, which will help the business to
improve and align their marketing strategies timely.
For example,
the company may have a list of goals as following:
·
Increase average page views per
session;
·
Increase average profit per
checkout;
·
Decrease products returned;
·
Increase number of referred
customers;
·
Increase brand awareness;
·
Increase retention rate (such as
number of visitors that have returned within 30 days);
·
Reduce clicks-to-close(average
page views to accomplish a purchase or obtain desired information);
·
Increase conversion rate
(checkouts per visit).
The company
can identify the strength and weakness of its web marketing campaign through
Web Mining, and then make strategic adjustments, obtain the feedback from Web
Mining again to see the improvement. This procedure is an on-going continuous
process.
Next, we will
give some examples on Web Mining applications.
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