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You may recall Jim Novo. Not so long ago - December 1st last year to be
exact - I had the pleasure of sharing with you some of his wry thoughts on
tracking customer-level numbers that could actually benefit you (Déjà
vu: Engineers and Customer Metrics). It's time to
share some more of Jim. He's recently been working with Bryan Eisenberg, CIO of
Future Now, to create a brilliant document on
understanding and managing your web analytics (so I'm
a little lacking in humility!). Along with our second birthday, it's information
truly worth getting excited about!
A Little Background
by Jeffrey Eisenberg, CEO, Future Now, Inc.
In May of 2000, Future Now, Inc. added a new feature to their Web site: a
free, downloadable calculator suite. Presented as an Excel Spreadsheet, this
unique application allowed users to enter 8 numbers related to their Web site’s
commercial and visitor activity, and generate calculations for 10
conversion metrics.
Since then, thousands of individuals have downloaded the
Future Now
Conversion Metrics and Digital Sales Calculator, and
the application has grown to include 22 metrics that can give both commerce and
content companies the kind of hard information they need to make informed
business decisions in an online environment.
Bottom Up, Top Down
by
Jim Novo
The Future Now Calculator takes the raw data input by a user from the
standard WebTrendsTM report and turns this data into actionable metrics
you can track over time. What do I mean by actionable? All the metrics created
by the calculator tell you specific things about the way your visitors are
behaving, and you can literally "take action" based on the metrics and track the
changes in visitor behavior your action caused. These are not "Gee, that's
interesting" metrics. They are the ones that have dramatic impact on the
profitability of your web site, and by tracking them and trying to affect them,
you can get your web site a lot closer to the goals you are trying to achieve.
There are two general areas worth your time to track and analyze - Content
and Commerce.
Content Metrics
Many folks get hung up with looking at page views, browser types, IP
addresses, and so forth. These numbers might be “nice to have,” but does knowing
gross browser types used by version actually help you in any way? This is
data, but not information. There is a tremendous amount of “stuff”
generated by server logs and log analysis software. How do you screen out what
is valuable and what is a waste of time?
With any data tracking or metrics project, always ask yourself this: What
will I do with the information once I know it? What kind of action will I
take based on knowing this information? If the answer is “none”, then the data
is not worth tracking. Reports with data like this are the ones that pile up in
the corner of the office - and are never looked at. What you want to do is
create metrics and reports that clearly say, “Fix this and your visitors will
view more pages” if you are a content site or “Fix this and you will sell more
product” if you are a commerce site. In many cases these two ideas work together
- a good content strategy results in more sales and a successful sales
experience leads to visitors spending more time at the site.
Every web site has at least two big issues to deal with: generating
targeted traffic and making sure this traffic gets "hooked" when it
arrives at the site. Server log analysis can create the raw data you need to
track important metrics surrounding these issues of targeted traffic and
engaging the visitor, but the raw data isn't very useful in the log analyzer
format for these tasks. The raw data has to be converted to useful metrics you
can track over time. This is the purpose of the content area of the Calculator:
it takes raw data from server log analysis, sifts it for the most valuable data,
and creates actionable metrics for you. This part of the calculator is set up to
follow the WebTrendsTM log analysis reporting format.
What kinds of issues are addressed with Content Metrics? Optimizing
navigation, layout and design, and content to drive the most profitable activity
from your visitors. Content Metrics are also be used to track the ROI of
advertising programs and tweak their effectiveness - for example, to test the
conversion rate of different landing pages in Pay-Per-Click campaigns.
Additionally, there are Content Metrics associated with each level of your
sales funnel. At each “micro-action” level of the sales funnel, you can use log
analysis to determine your conversion rate. Improving the conversion at each
level of the funnel is cumulative - an improvement in one level dumps more
customers into the next level - and all of these conversions build to higher
levels of productivity and profitability. If you run a commerce site, they also
feed directly into improving your Commerce Metrics - the bottom line.
Commerce Metrics
Commerce metrics are about taking all this micro activity on the site and
putting sales dollars to it. If you are selling products, it’s a way of
determining how efficient and effective you are at converting visitors into
sales dollars, providing clues for specific improvement in your bottom line.
Why do you need Commerce Metrics? Because it’s possible you could improve the
number of pages viewed by each visitor using your Content Metrics, but this
improvement would not result in increased sales. Perhaps there was a disconnect
somewhere. The Commerce Metrics allow you to make sure any work you are doing on
the content side is turning into profits on the commerce side.
If you are paying for advertising, Commerce Metrics are extremely important.
You want to make sure the money you are spending is generating maximum
profitability. If you pay $30 for a sale you make only $20 on, you will be in
trouble pretty quick. Commerce metrics keep you on track and provide benchmarks
you can follow to evaluate the profitability of your advertising campaigns.
Macro vs. Micro
Each of the metrics on both the content side and the commerce side can be
further subdivided, and this is almost always instructive. There are no “average
visitors” - there are specific visitors from specific places and you should
subdivide your macro metrics into more micro metrics.
For example, on the content side, let’s say your “average visitor” looks at 3
pages in a visit. But what if you knew that for a Google visitor it was 8 pages
and for MSN it was 2 pages? This information is tremendously important to
understand because it can directly impact your advertising strategy and
profitability. It is always easier to go with the traffic flow - go where you
get the best visitors, don’t try to turn bad visitors into good ones. In this
example, I would seriously consider cutting back on any bCentral network banner
ads and using the money I saved to buy Google AdWords. This is optimization of
an ad campaign - putting the money where it works the hardest.
Of course, on the commerce side, I would want to know if these Google
visitors were generating sales - and if the sales per visitor was higher for
Google than it is for MSN. Just because they view more pages, doesn’t mean they
buy more products. So before rearranging my ad campaign, I would need to confirm
using Commerce Metrics what I suspected from looking at Content Metrics - that
indeed, a Google visitor not only looks at more pages per visit but buys more
products.
Top-Down vs. Bottom-Up
Generally, the higher you move up in an organization, the more direct
financial responsibility you have. For this reason, “C Level” execs and VP’s are
probably going to be most interested in Commerce Metrics (if you are a commerce
site) - a “top-down” view of the enterprise. They don’t necessarily care about
the 8 pages per visit from a Google visitor - that’s too much detail for them to
get into.
But hear this - the bottoms-up (micro) metrics all roll up into the tops-down
(macro) metrics, so even though the top brass might not want to get reports
on micro metrics, people lower in the organization should. Why? Because what
will happen when a C-level person wants to know "How come a certain macro level
metric is falling?"
Using the Google/MSN example above, if the average views per visit on the
site fell during a certain month, one explanation could be visitors from Google
dropped while visitors from MSN increased. If you know a Google visitor both
views more pages (Content Metrics) and buys more products (Commerce Metrics)
than an MSN visitor, you can tell this C-Level exec what happened and why. Then
she’s off to the ad guys to find out why they’re driving more traffic from MSN
than Google rather than breathing down your neck. Just because C-level people
may not want micro-level reports, doesn’t mean it’s not extremely valuable for
somebody to get reports on the micro level.
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See what I mean? Totally cool stuff! Okay, it's a bit of a shameless plug,
but indulge me. You know I don't do this often … and only when I think it will
make you really happy! If the stuff in this article makes sense to you and you'd
like to learn more, toddle off to HiqHq.com
and get yourself a copy of The
Guide to Web Analytics: How to Understand and Use Your Web Trends to Maximize
Results. For a limited
time, we're making it available to you this way!
Now excuuuse me please … there're candles to blow out and a cake to cut.
Belgian dark chocolate, no less! (chortle)
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What are others saying about the "The Guide to Web Analytics: How to
Understand and Use Your Web Trends to Maximize
Results" co-authored by Jim Novo and
Bryan Eisenberg:
"I feel intellectually empowered
every time I finish a conversation with the
Eisenbergs of Future Now and The Guide to Web
Analytics gives everyone access to this source of
empowerment. Future Now has developed a resource
that can be understood and implemented by the most
novice web marketer but is just as undeniably
valuable to the seasoned marketing veteran. The
Guide to Web Analytics has, in a matter of pages,
given marketers a resource to evaluate the infinite
data points created by the Internet and within a
matter of minutes, improve their website to make
sure each visit is exceptionally beneficial to both
the company and the customer."
Adrienne Gaboury
Director of Marketing and Business Development
Association
for Interactive Marketing
"The term "Web analytics"
can sound like an intimidating undertaking to
marketing professionals. But in reality, Web
analytics is analogous to what traditional marketers
have been doing for decades offline: Measuring
acquisition, retention, and customer satisfaction.
Our mission with WebTrends is to provide industry
leading products as well as educational resources
for marketing professionals wanting to improve ROI
for their e-business initiatives. The consultants at
Future Now are adding value in helping organizations
understand and utilize Web analytics. Their
workbook, The Guide to Web Analytics, compliments
WebTrends products well, and is a valuable resource
for any professional wanting to translate their
marketing expertise to the online world."
Rand Schulman
Senior Director of WebTrends Product Management
NetIQ
"The Guide to Web Analytics
combines general information, detailed descriptions
as well as workbook material on measuring web
activities. The Future Now Invention: E-metrics
converts e-business into real business. I recommend
it to all of my Internet Professionals colleagues."
Lennart Svanberg
Arranger of The
Internet Marketing Conferences
President
for the World Association of Internet Marketing
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A Special Message
Sorry for only one long article this issue. We'll
be back next month with two articles from the GROK.
He just likes to party way too much. Thanks for
sharing in our 2 year anniversary of publishing GROK
Dot Com.
Bryan Eisenberg
CIO, Future Now, Inc.
P.S. Do you have questions you would like to see
answered here?
Ask away!
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