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LED Digest 2516: Know Your ROI 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 18, 2007                     Issue no. 2516
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            .....IN THIS DIGEST.....


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

        <Moderator Comment>
                ~ SEM 2.0 and a Couple Great Readings

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

                ~ Mark Welch
"...conversion rate and cost per conversion are
merely proxies for the real metric..."

                ~ Andreas Huttenrauch
"The other part to look at is the ad copy itself."

                ~ Chris Nielsen
"Adding a 'lead' conversion code to your
contact form may help..."

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

                ~ Michael Martinez
"I wouldn't trust Google Analytics farther than
I can throw it."


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

<Moderator Comment>

Greetings LEDer,

Two items for your consideration today:

1) Managing SEM 2.0

I don't know if you're familiar with the SEM 2.0 Google Group (
http://groups.google.com/group/SEM2 ), but you should be - and I
hope you'll join and give it a try. It's a very small discussion
group that was begun by Andrew Goodman after the collapse of
I-Search ("collapse" is a very strong word... "fizzling out" is
probably more accurate).

Anyway, it's a neat group with a super high signal and is 100%
focused on search marketing topics. The member list is pretty
impressive, there's definitely some experienced folks there. But
there are also plenty of newcomers and "dabblers" looking to get
more insights and input on what they're doing with their businesses.

Reason I bring it up, is I've been talking with Andrew over the last
month or so and am going to take over the community leadership role
there. Andrew announced my involvement earlier this week. I'm really
psyched to bring my experience to the interesting SEM group, and to
get a chance to work with Andrew who I've always thought highly of.

So go check it out, join, and post something!
http://groups.google.com/group/SEM2

2) Great Readings

First is this somewhat amazing survey of the Web design and
development community at A List Apart. What a classy job they do and
what interesting data:

2007 Web Design Survey
http://www.alistapart.com/articles/2007surveyresults

Second is this totally refreshing read from long-time LEDer Michael
Martinez. The title doesn't really do the post justice -- it's about
much more than hard core SEO. It's also a critical view of the
industry cheese and fluff that's so prevalent these days:

20 Hard Core SEO Tips
http://seo-theory.com/wordpress/2007/10/16/20-hard-core-seo-tips/

Enjoy your reading!

-Adam

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

From: Mark J. Welch
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 totally accurate?
        - Nate Holley, LED Digest 2515
        - http://www.led-digest.com/content/view/1927/190/

Nathan asked whether it's proper to design a campaign based only on
conversion rates or cost-per-conversion.  My answer is "no," to the
exact question posed, although I suspect that Nathan probably
already applies the same kind of analysis I'm about to share.

First, "conversion rate" and "cost per conversion" are merely
proxies for the "real metric," which is "gross profit per marketing
dollar spent."  Our goal is always to generate sales that produce
more than $1 in gross profit for every marketing dollar spent.
(Depending on overhead and other factors, the goal might be $1.10 or
$2.50 per dollar spent.)

If you rely on any "proxy" as your measure, and if your competitors
really measure the "real goal," then over time you're going to lose
out because your competitors will poach the profitable customers and
you'll end up with the left-overs.  For example, you might think
it's fine to have a conversion rate of 10% or a cost-per-conversion
of $10, but then you'd still be disappointed (and unprofitable) if
your average order size gradually dropped from $35 to $10. (And
you'd have a mistaken perception about the market, since your
strategies have caused you to draw mostly from one segment of the
broader market.)

Of course, we can never rely exclusively on "real data," no matter
how "technically accurate" and no matter how precisely the data
matches our goals.  That's because we're dealing with statistics,
which can be misleading if analyzed improperly.  The most obvious
example here would be "long-tail" keywords (those thousands of
keywords which aren't in your top-100 volume keywords, but which are
occasionally searched). In September, I launched a large campaign
with about 4,000 ad groups and 25,000 keywords.

Six weeks later:

- More than 500 of those ad groups and 10,000 of those keywords have
drawn zero impressions or clicks; I'll consider these campaigns
"inactive."

- Perhaps 2,000 of those ad groups and 10,000 of those keywords have
generated "some impressions and a few clicks, but zero sales" --
let's call this the "low-volume dud group."

- Another 200 ad groups (perhaps 1,000 keywords) have generated
"some impressions and a few clicks, with one or a few sales" --
let's call this the "low-traffic-with-sales group"

- And of course 500 of the keywords have "lots of impressions, many
clicks, and many sales" -- let's call this the "primary group."

For this campaign, I have an overall conversion rate of 1%, so I
generally look for "at least 100 clicks and at least 2 sales" before
I even consider putting any keyword into the "primary group."

Within the "primary group," I generally enforce my ROI goals fairly
strictly -- if I see ROI below my target for an ad group or
individual keyword after 100-200 clicks, I'll reduce bid rates or
pause the campaign.  (Typically, in this particular campaign, I am
seeing about $2 in gross profit per $1 spent, for ROI of +100%.  If
ROI drops below +25% I'll drop the bid rates.)   Within this
"primary group," my overall conversion rate is about 1%.  Most of my
time, energy, and "testing" is done within this "primary group,"
which accounts for about 85% of total activity (clicks and sales).

Within the "low-volume-with-sales group," most ad groups and
keywords have "incredibly high ROI" (often +500% or +1,000%) because
the conversion rates may be 10% or higher (many keywords have 1 sale
from fewer than 10 clicks).  I certainly will maintain those ad
groups (and I may consider increasing bids), but I know that
generating 1 sale from 5 clicks might just be a "fluke" and I will
probably draw zero sales from the next 50 clicks, so any response
must be cautious and tentative.

Within the "low-volume dud group," my ROI is -100% (awful), but the
data is inconclusive because I haven't reached a statistically
significant number of clicks yet for any individual ad group or
keyword.  I'm not going to cancel an ad group or keyword that has 15
clicks but zero sales, because over time, it might still generate a
positive ROI.  However, I will look at the aggregate data, and if I
discern a pattern (for example, if I have 50 ad groups related to
"widgets" and they've drawn a total of 1,000 clicks but zero sales),
I might make some decisions about that broad category.

Within the "inactive group," I see no immediate reason to purge
these keywords, and I expect that 50% of these groups will see
activity in the next month.

If I used a "blind, mechanical" analysis, I'd delete every campaign
with negative ROI, which means I'd delete those 2,000 "dud: ad
groups with "some clicks but no sales," even though I don't have
statistically significant data.  And a "blind, mechanical" analysis
would suggest that I should increase bids on the 200
"low-traffic-with-sales" ad groups, even though I don't have
statistically significant data.   That approach would cause me to
overspend on "fluke" keywords, and would lead me to "drop" thousands
of keywords that might have generated sales next month.

Mark Welch


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

From: Andreas Huttenrauch
Subject: Conversion rate

To Nate's post on Adwords tuning for conversions vs. click-throughs,
I would definitely advise the former.

Traffic (clicks) are very expensive. It's really easy to get a lot
of traffic. People will come and look without much persuasion if
there's no obligation. Getting people to commit to a purchase is
much more difficult, but this is ultimately where profit lies.

After all, it's pretty pointless spending $350 to acquire a customer
to purchase a product where the overall profit is only $45.

If a keyword is attracting a lot of clicks, but no sales, then it is
not attracting qualified prospects.

The other part to look at is the ad copy itself. Make sure it's not
misleading people : ie they click with an expectation to find
something, but the site doesn't deliver. As a follow-on to this,
it's important that the site does a good job of closing sales.

Conversion is the ONLY attribute to tune for in sales (branding
exercises etc are different).

Andreas Huttenrauch
Globi Web Solutions
http://www.globi.ca


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

From: Chris Nielsen
Subject: Conversion rate

> My question is simply this: am I blowing it by optimizing
> her campaigns only according to conversions?
        - Nate Holley

As you mention, some sales can be realized at a later date, or even
through phone orders which will increase your reported conversion
cost in Google.

The client really needs to take in all the data to make decisions
about what is really working and what is not. In addition to looking
at what the AdWords campaign is doing, take a look at total sales
where you cannot confirm the source of the sale. These sales may or
may not be a result of AdWords, but you can use that to see if you
are making or losing money. If you are losing then you should
quickly cut things that don't seem to be producing.

But even if you are raking in the sales, it would make sense to
either delete things that are not converting, or lower your bids on
them. Lowering the bids on non-converting keywords to the minimum
may have the same effect as pausing them and if you see sales dip,
you can see if there is a connection by raising the bids again.

Adding a "lead" conversion code to your contact form may help you to
see what is driving sales indirectly, and of course asking any
callers how they found you can also help to understand what is
working.

Finally, people do delete cookies from time to time. This is also
going to skew your conversion rate, so it's really important to have
the "big picture" to avoid dropping things that may be working for
you.

Thank you,
Chris Nielsen
International Phone Cards
ESGBuilt.com


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

From: Michael Martinez
Subject: Google analytics

> ... why would an SEO expert say [to avoid Google Analytics]?
> ... I've always heard about "Google Analytics" and figured it
> was something standard. But I'd love to know why you
> shouldn't touch it with a 10-foot-pole.
        - Shelly Cole, LED Digest 2515
        - http://www.led-digest.com/content/view/1927/190/

I have used a lot of analytics packages through the years.  As far
as I am concerned, I wouldn't trust Google Analytics farther than I
can throw it.  The data is incomplete, the numbers don't add up, and
occasionally I find them reporting results from other Web sites
instead of my own.

People like Analytics because of the reporting functions.  I will
admit that the reporting functions are nice but they're not the best
I've ever seen.  For a free tool they are good reporting functions.

Of course, it would be nice if they reported something useful or,
dare I ask for it, ACCURATE.

I track Analytics on a number of sites because I am expected to.  If
I had my druthers, I'd druther not have to ever use Google Analytics
again.

That said, I use Google Analytics on the SEO Theory blog because
it's free, because I don't need to accurately measure traffic on the
blog, and because Google Analytics reports just enough data that I'm
not overwhelmed.  It shows me some trends that, when compared to
other about equally insufficient analytics tools' reports, seem to
be consistent with third-party metrics performance standards.

That is, Google Analytics is probably no worse than anything else
out there that relies on Javascript.  I don't like Javascript-based
analytics.  That's just me.  Some people swear by Javascript-based
analytics.  That's just them.

Hope that helps.

Michael Martinez
http://www.michael-martinez.com/


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