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LED Digest 2517: Google Analytics & Competitive Data Print E-mail
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List Moderator:                       Published by:
Adam Audette                          LED Digest
adam, led-digest.com     http://www.led-digest.com
..............................................
October 19, 2007                     Issue no. 2517
..............................................


            .....IN THIS DIGEST.....


====== NEW =====================

        --== ProfitChoice Directory Submit Service ==--

                ~ Tom Anson
"...I was wondering if anyone has some
thoughts about a service like this..."


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

        --== Stay Away from Google Analytics? ==--

                ~ Chris Allen
"As a long-time Adwords advertiser, I have a
completely different reason...I don't trust Google."

                <Moderator Comment>

                ~ Mark Welch
"...some of us are concerned about Google
hoarding our data."

        --== Optimizing AdWords by Conversion Rate ==--

                ~ Nathan Holley
"[Do you manage PPC campaigns] by hand,
or use a management tool?"

                ~ Alex Hughart
"When in doubt, look at the big picture."


=========== NEW ==================================

From: Tom Anson
Subject: ProfitChoice Directory Submission Service?

Hi everyone,

I've been sitting around lately playing with my toes and idly
thinking about the need I have to get my websites submitted to some
directories.  I had taken this far enough to wonder how I was going
to find the directories to which my sites should be submitted when I
saw an ad in Jill Whalen's High Rankings Advisor.  It was for a
company called ProfitChoice; the service was a manual web directory
submission service.

http://www.profitchoice.com/subs

Looking over what was on their website, it looks pretty good; but, I
was wondering if anyone has some thoughts about a service like this,
or has any experience with this service specifically.  I know the ad
was on High Rankings Advisor, but I don't know if Jill would endorse
the service, or if it was simply a paid ad.

Thanks for your help.

Tom Anson
Anson Aromatic Essentials
http://www.therapeutic-grade.com


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

From: Chris Allen
Subject: Google Analytics

In LED 2515, Shelly Cole asks why an SEO expert would steer clear of
Google Analytics.  Then, Michael Martinez lays out a persuasive case
for Google Analytics' shortcomings in LED 2516, saying he doesn't
trust Analytics' data quality and results.

I had a different reaction to Shelly Cole's question.

As a long-time adwords advertiser, I have a completely different
reason for being unwilling to use Google Analytics:

I don't trust Google.

Here's my (black-helicopter-filled conspiracy) theory:  If Google
owns and sells ad space inventory, and if they know which ad "real
estate" is most valuable (profitable) to us, wouldn't they love to
figure out a way to increase the cost for those high value ads?

There are some of our keywords which are absolute gems.  Little or
no competition, outsized conversion rates, fabulous ROI, etc.  I
would be willing to pay significantly more than we currently do to
maintain our top 1 or 2 ranking on those keywords.  Letting Google
in my high ROI keywords feels to me to be the rough equivalent of
showing your hole cards in a poker game.

I'd really rather not.

One might argue that it's a free market, and competition sets the
price. Why then does Google interfere with this free market and
demand minimum per click charges for high performing keywords with
no competition?

They clothe this price support in the mantle of "quality scores"
designed to improve their users' experience.  But then, in the same
breath, are willing to waive the sacred quality minimum if I will
pay a premium price.

If the market clearing price for a keyword is $0.10, shouldn't that
be the price?

Google knows these clicks are worth something to us, and my
observation is that they have slowly been increasing those minimums
to test our willingness to pay more.  They "disqualify" certain
keywords with reasonable traffic, then watch to see if I'll bid
higher to keep getting that traffic.  In essence, I'm being asked to
outbid my own bids of a few months ago.

This is good pricing strategy on Google's part, but not something I
desire to feed by giving my ROI data to them.

This may seem an excessive point, but I find it hard to imagine that
some bright young engineer from the analytics department wouldn't
bump into a bright young engineer from the adwords department, and
trade notes on how to increase adwords revenues by optimizing the
adwords pricing algorithm to take advantage of "high ROI" keyword
patterns among the analytics data.

I'd much rather try to outsmart only my competition and find those
neat niche keywords that pay the bills.

Tell me I'm paranoid.  Probably so.  But for now I prefer to keep
hold our ROI data close to the vest.

Cheers,
Chris Allen
www.gentlemansemporium.com
www.westernemporium.com

<Moderator Comment>

Thanks for bringing this up, Chris.

Aaron Wall has mentioned in the past that it's likely Google
utilizes keyword performance data to optimize competitor accounts
(they offer free optimization, sometimes quite extensive depending
on spend level, for any account). Even if that's not the case, think
about the bigger picture here. Google can amass a pretty huge data
set of keyword competition by industry, and then use this in
multiple ways.

Increasingly I'm hearing from people that are going to third-party
vendors for analytics if they're doing Adwords spending.

BTW Aaron has a good alternative for web stats (Mint) with a few
reasons to switch right here:

http://www.seobook.com/archives/002434.shtml

Mint looks like a nice stats package, but I don't believe it uses
javascript tagging (looks like a web log parser). Also, it doesn't
look like it's set up to handle very sophisticated campaign
tracking, and I don't know if it can do any PPC segmentation at all.

-adam


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

From: Mark J. Welch
Subject: Google analytics

Yesterday, Shelly Cole asked why an SEO consultant would advise
against using Google Analytics.  There are two reasons I can think
of.

First, Google Analytics is more complex, with a steeper learning
curve, than traditional log-analysis solutions.  Many clients just
can't handle the complexity.

Second, some of us are concerned about Google hoarding our data.
I'm already worried that Google can "tap into" a vast collection of
data, which it might use to improve its own financial interests.  I
know that some "second-tier" PPC search companies run their own
affiliate marketing operations, using data from merchants and other
affiliates to identify the optimal keywords and bid rates without
needing to spend money on "trial and error," and one of my clients
once claimed that his data was similarly used by a Google staffer to
"poach" his campaigns (I'm not confident this was true, but it's
certainly possible).

Mark Welch, Internet Marketing Consultant
http://www.MarkWelch.com/


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

From: Nathan Holley
Subject: Conversion Rate

> Our goal is always to generate sales that produce more
> than $1 in gross profit for every marketing dollar spent.
        - Mark Welch, LED Digest 2516
        - http://www.led-digest.com/content/view/1928/190/

I follow the same general strategy as Mark, thanks for a great
run-down by the way.

When you mentioned some "4000" ad groups it triggered the idea that
we do other things the same too - namely getting super refined and
focused for every keyword / ad copy combo. The only way to do that
is with hyper-granular ad groups.

And that makes me wonder if you do it by hand, or use a management
tool? I'm currently on the market, having looked at Omniture (too
spendy), Clicktracks (looks good), MakeMeTop (nice UK offering), and
Acquisio (new comers, unknown). Anybody have a favorite tool?

Nate Holley


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

From: Alex Hughart
Subject: Conversion rate

> Does anyone else optimize PPC campaigns based solely
> on conversion numbers? Are we potentially losing a lot of
> sales and great traffic because the analytics aren't accurate?
        - Nate Holley, LED Digest 2515
        - http://www.led-digest.com/content/view/1927/190/

Hi Nate and all,

According to Google, the AdWords' tracking cookie stays on visitor's
computer for 30 days so, some of the delayed conversions do get
tracked eventually. Probably that's the case with other search
engines, too. I don't know if any discrepancy in analytics would be
big enough to justify a high CPA to a client, especially because an
acceptable CPA has more to do with the client's overall business
than with specifics of the campaign.

If there are no other campaign issues (misleading ads, overbidding,
etc.), no usability or merchandising problems (prices, selection,
shipping, etc.), you don't have an option but to go with conversion
numbers. After all, return on investment is the only number that
really matters.

The way I see it, determining how much a business is willing to pay
to acquire a new customer should be a starting point in building a
campaign. There is no one size fits all, every business is
different, even businesses belonging to the same relative category.
Granted, those with a history will have an easier task of
determining customers' worth as they already know their average
orders, customer retention ratio, purchasing cycles, etc. For a
start-up, it's a guess but, it doesn't have to be a wild guess,
either.

There are many factors that could be taken into account when looking
at a client's business: Do they sell high-priced items or
low-priced? What are their profit margins? Is their type of
merchandise usually bought impulsively or is it heavily researched
before purchasing? How long does it take on average to do such
research? How much will repeat customers spend over a certain period
of time? How often will they buy? Is the merchandise seasonal? Is it
trendy? Is it a necessity or an indulgence...... etc., etc.

Then comes the question of how much a business can actually afford
to pay for a customer and, especially, how much they can afford NOT
to pay for a customer! It's a tough balancing act but, to conclude
in a faux-Zen manner: When in doubt, look at the big picture.

Alex Hughart
http://www.bonsavon.com


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