Actionable Web Analytics: Using Data to Make Smart Business Decisions Review
Posted by
Pearlene McKinley
on 6/17/2012
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Labels:
analytics,
avinash kaushik,
internet marketing,
marketing online,
marketing roi,
online marketing,
site optimization,
web analytics,
web marketing,
web metrics
Average Reviews:
(More customer reviews)Actionable Web Analytics is both well thought out and well written; but it's geared for big business (or medium size at least). If you're a general manager or executive type getting involved with web analytics this is a great book.
However, it's not geared toward the start-up entrepreneur. One of the sections talks about getting your "team" involved... your team being your: CMO (chief marketing officer), web team manager/leader, designer, information architect, usability expert, copywriter, developer, web analyst, strategist, channel manager, segmentation lead, etc. ,etc. For this I joked to my girlfriend that I guess i can have my meeting in front of the mirror! I'm all of these titles I guess. Another section talks about a company that incorrectly spent $150,000 per month on web analytics. While they did mention that this money was somewhat illspent, for entreprenurs this is totally irrelevant.
I gave it a good rating (4 stars) simply because I think the audience the authors intended (corporate types) will get a great benefit out of it. The book is particularly useful if a reader needs to put together a cohesive argument to someone else (e.g. upper management) that analytics (basically measurements) can help with making a company's website more profitable. To that end, the book does a great job!
Click Here to see more reviews about: Actionable Web Analytics: Using Data to Make Smart Business Decisions
Knowing everything you can about each click to your Web site can help you make strategic decisions regarding your business. This book is about the why, not just the how, of web analytics and the rules for developing a "culture of analysis" inside your organization. Why you should collect various types of data. Why you need a strategy. Why it must remain flexible. Why your data must generate meaningful action. The authors answer these critical questions—and many more—using their decade of experience in Web analytics.
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