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List Moderator:                     Published by:
Adam Audette                          LED Digest
adam, led-digest.com     http://www.led-digest.com
..............................................
February 1, 2006                       Issue #2087
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            .....IN THIS DIGEST.....


==== CONTINUING =================

        --== Shopping Cart Abandonment ==--

                ~ Nick Usborne
"...add elements to your shopping cart pages
that continually reassure the purchaser."

                ~ John Arrowsmith
"The following TinyURL is hopefully [helpful]..."

                ~ Tom Aman
"On many sites it is impossible to
determine a total cost..."

        --== Secure Servers ==--

                ~ Scott Marino
"In past dealings with Verisign and installing
the secure keys, it can be a real challenge."

        --== PHP, SSI and Rankings ==--

                ~ Will Bontrager
"For those who have additional questions
about what SE spiders see and don't see..."


==== BILLBOARD ===================

        --== Fighting Spam ==--
                ~ Tom Aman


======== CONTINUING ===============================

From: Nick Usborne
Subject: Cart abandonment

> This is an extensive research study that at last gives me some
> real %s based on factual studies... Most firms are able to convert
> only 2-3% of online traffic to paying traffic.
        - Kevin Condon, LED 2086

I was interested to read Kevin Condon's post about shopping cart
abandonment. This has always been a big problem for online
retailers. It is particularly irksome for those studying the site
metrics...and seeing so many people leaving the site at "the last
moment".

One thing you can do is add elements to your shopping cart pages
that continually reassure the purchaser. If you have joined
BBBOnline, this is the place to show their logo. HackerSafe logos
and the like also help.

I have also seen some companies add short and relevant testimonials
to these pages with some success.

Of course, the best thing you can do to increase shopping cart
conversions is to keep the process as short as possible. Don't ask
for information unless you absolutely need it for the purpose of
completing the transaction. If you want to collect additional
personal information, ask for it AFTER the sale has been completed.

For those prospects you do lose, you may want to consider a shopping
cart recovery email program. That is to say, you collect their email
address at the very beginning of the process, and then email those
people who don't complete the process. There may be some ethical
questions to think about here, but the process can be very
successful.

We tested the email recovery approach recently and achieved a 263%
increase in the recovery of abandoned carts.

You can see the full report and all the data here:

Best wishes,

Nick Usborne


------- new post - same topic -------

From: John Arrowsmith
Subject: Shopping Cart Abandonment

> The link is very long but here
> is the Google search term...
        - Kevin Condon, LED 2086

The following TinyURL is hopefully even better :)


With best wishes

John Arrowsmith


------- new post - same topic -------

From: Tom Aman
Subject: Cart abandonment

> One of the conclusions related to shipping and
> in particular offering incentives such as "Buy any
> 2 Products and Get Shipping For Free".
        - Kevin Condon, LED 2086

I have run into a number of sites where shipping is extra but the
actual shipping cost is not stated on the site and can only be
determined by starting into the checkout process.

I suspect that one of the reasons people abandon carts is because
the only way they can get the total cost of what they might order is
by actually proceeding to the initial checkout phase. If the total,
including shipping, etc., is more than they are willing to pay, then
they just abandon the cart at that point.

On many sites it is impossible to determine a total cost without
going at least that far in the shopping process. By having an offer
such as "Buy any 2 Products and Get Shipping For Free", the problem
of knowing total cost without going to the checkout is solved so the
shopper is more likely to actually complete the sale.

Tom Aman

Aman Software


------- new post - new topic -------

From: Scott Marino
Subject: Secure servers

> I've often wondered why... no one has
> ever discussed the ins and outs of installing
> security certificates on host servers / websites?
        - Bill Davison, LED 2086

If you process credit cards, you must have a secure key and encrypt
all credit card data. This is a legal requirement of
Visa/MasterCard, American Express, Discover and all the rest. There
are actually some very stringent rules regarding it that you can get
from your merchant bank.

Security and privacy, especially online, is such a hot issue in the
press. The public is cautious about providing any information
online, much less credit card details over an un-secure link.

Not providing secure check-out and encrypting stored information is
like turning off the alarm, leaving the door unlocked, and hoping no
robber will notice.

In past dealings with Verisign and installing the secure keys, it
can be a real challenge. This is actually a good thing as it keeps
anyone from getting a secure key. You have to prove your
authenticity before getting one. Image if it were easy for all these
phishers with their E-bay, Paypal and other bank scam e-mailers to
get a secure key.

Scott Marino, President


------- new post - new topic -------

From: Will Bontrager
Subject: PHP and SSI

This response is lagging, I realize, as the OP has been answered.

For those who might have additional related questions about what SE
spiders see and don't see, our "What Search Engine Spiders See" tool
at http://willmaster.com/sbot (redirect) provides certainty.

Plus, it can generate word counts and lists and keyword density.

It's bookmark-able and recommend-able.

Will Bontrager


==== BILLBOARD ===================================

<Moderator Comment>

Since this post is so long, I've split it up into two parts. Here's
part one, stay tuned for part two later in the week.

-adam

----------------------

From: Tom Aman
Subject: Fighting Spam

Hi Adam

The recent posts re Internet scams reminded me that I had intended
to share my experiences in figuring out how to deal with SPAM.  This
is a very long post, but I feel the info might be of use to many
LEDers.

First, a definition of SPAM.  There is often disagreement among
individuals, but from the many SPAM fighting sites, there is usually
agreement that all UCE (Unsolicited Commercial Email) is not SPAM.
SPAM is considered to be UBE (Unsolicited Bulk Email), meaning email
that is sent by the thousands, automatically, to one or more large
email lists.  For example, if I visit your site, discover a lot of
broken links and, as a result, email you suggesting you try my
software, that is UCE but it is not SPAM.  On the other hand, if I
used one or more of the many lists available and blindly sent a
message flogging my software to thousands and thousands of people
without ever seeing their sites or knowing if they might find it
useful, that is UBE and would definitely be SPAM.

This all started because I have an email account that received so
much SPAM that I was considering abandoning it so it meant that it
was a good one to use for some serious research.  If things got
worse, I could drop the account, if they got better, I could keep it
active (my first choice).

First, I decided to really check out some SPAM filtering software to
see how good a job it would do.  That exercise in itself was
revealing.  One problem is that the trial period for many of the
filters is really too short to make a really good judgement call.
Most of the filters claim accuracy rates in excess of 99%, but with
a single exception, I never found one that achieved that level of
accuracy.  On doing more checking, the reason for the difference
between the filter's claims and the actual experience was relatively
clear.  During development, to test the accuracy of a filter, the
typical approach is to have 4 or 5 thousand emails available that
are about 1/2 SPAM.  The filter is then designed to filter this
sample set with a very high degree of accuracy and with few or no
"false positives" (good email identified wrongly as SPAM).  The
problem with this approach is that the accuracy depends on the user
actually receiving SPAM that is similar to the mix used in the test
set.  If the SPAM a user receives is significantly different, the
success rate will be different and very likely lower.

Filters try to identify SPAM and, depending on the filter and with
one exception that I found, can either delete it or direct it to a
specific folder so it can easily be reviewed.

One filter I tested extensively over a long period claimed an
accuracy rate of 98% at the outset, rising to 99.8+% after training
and a "false positive" rate of less than .01% (1 in 10000).  First,
the question is, in the less than 1 in 10000, does that mean 10000
emails, SPAM included, or 10000 good emails.  Makes a big
difference.  Over the test period of 65 days, I received 12,953
emails of which 170 were actually good (12,783 SPAM).  The false
positive rate (8 emails), even based on the 12,953 count was .06%
but based on the 170 was an alarming 4.7%.  And the SPAM
identification rate average out at 78.5% (nowhere near the 99.8+%
claimed).

The best filter I found claimed an accuracy rate of 99.9+% after
training. This filter is the one exception mentioned above.  It does
its thing with the email, you correct any errors it may have made,
then tell it to process. The email is still on the mail server at
this point and it will delete those marked as SPAM by you or the
filter.  Then you start your email client and download the good
stuff that is left.  Even after entering all "friends" (from your
address book), this filter is all over the place the first few days
but it learns very rapidly, usually in 3 or 4 days.  I actually
achieved an accuracy of 98.7%, close to that advertised, during the
test period.  However, being more agressive in its filtering, the
false positive rate was a bit higher coming out at 10 emails (.077%
of 12,953, 5.88% of 170).  I have continued to use this filter and
am now running at 99.7% with a false positive rate of about .007%
(or about .15% of good emails).  Much better, but still not perfect.
 This filter is called a Markovian filter, one step beyond the more
common Bayesian filter and can be found at http://www.spamrip.com.
I am using Version 1, the current download is for Version 2 and I
will be downloading that shortly.  It is free.

My conclusion after all of this was that I would never, ever trust
any filter (Brightmail included) to just delete SPAM without me
having a chance to review its choices.  Even the best will
occasionally register a "false positive" and, with my luck, that
would be the most important one I would ever receive.

Tom Aman

Aman Software


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