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Paid Search Bid Management Systems
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Paid Search Bid Management
Systems
by David M. Raab
DM News
August, 2006
One of my more sarcastic associates often
responds “this Internet thing –it’s gonna be big” when I
describe some interesting piece of Web-related software.
Although the joke has long since worn thin, his underlying point
remains valid: the Internet is too important to ignore, even
though many companies still haven’t adjusted to it. (At least,
I think that’s his point. He may just like being sarcastic.)
But taking full advantage of the Internet is not
easy. There’s a Web site to build; search engine optimization,
paid search and Web advertising to drive traffic; site analysis
to understand what happens once people arrive; and email
campaigns for prospecting and customer relationships. Since
most companies have already developed an initial Web presence,
the question is not where to begin, but what to do next.
One likely candidate is paid search: those
little clickable ads that appear next to Google or Yahoo! search
results. Marketers bid for those ads by specifying how much
they will pay per response (“click”) from people who have
searched for particular words and phrases.
Paid search is deceptively simple: you decide
what an inquiry from a particular keyword is worth and you bid
on it. But once you start managing more than a handful of
terms, things get complicated. Because other people are usually
bidding for the same words, you must continuously adjust your
own bids to meet your volume goals without overpaying. In
addition, measuring the value of each click requires tying the
clicks to actual sales or other site behaviors. Of course,
value and bids are related: you don’t want to bid more than the
leads are worth.
Software to manage pay per click advertising
falls into two broad categories. One set of products handles
the mechanics of bidding for keywords across multiple search
engines. These include Dynamic BidMaximizer (www.apexpacific.com),
Roffers Engineering BidRank (www.bidrank.com),
Atlas Search BidManager (www.atlasonepoint.com), Direct
Response Technologies Inc.
KeywordMax (www.keywordmax.com)
and SearchMarketingTools PPCBidTracker (www.searchmarketingtools.com).
All provide a central console to set up keywords, manage bids,
and review results across multiple search engines. They
automatically adjust bid amounts and offer Web site analytics
services (at extra cost) to measure the value of the resulting
leads. Costs can be as low as $200 per month to manage 10,000
keywords. (Nearly all vendors in this market charge on monthly
or annual fees, even if the software actually runs on the
clients’ own system. This entitles customers to receive updated
software as the search vendors make changes to their own
systems.)
The other class of products, including
SearchIgnite AdConsole (www.searchignite.com)
for an agency version or
(www.adconsole.com) for smaller, self-managed advertisers, Searchforce (www.searchforce.com)
and Efficient Frontier (www.efrontier.com)
move beyond managing individual keywords to optimize bids across
an entire keyword portfolio. This involves using statistical
algorithms that predict the performance of different bids for
different keywords and comes up with a set of target bids that,
taken together, best meet the advertisers’ business goals.
Pricing on these products is harder to come by but can exceed
$2,000 per month for the same 10,000 keywords.
Both groups of products integrate directly with
the bidding systems of the paid search vendors. Marketers first
set up accounts with each vendor and load a list of keywords and
phrases with upper and lower bids. They then set up
corresponding accounts in the bid management system, download
the keywords, and add supplemental information—most importantly,
a target ranking such as first, second or third in the list of
ads on the search engine site. After that, the bid management
system runs on a user-specified schedule, automatically
downloading fresh results and competitive bids from each search
engine account, adjusting the bids to get closer to the target
ranks, and uploading the new bids. Products vary, but users can
generally choose among different bidding goals such as
maintaining a specific rank, making the most cost-effective bid
within a range of ranks, out-bidding competitors, or barely
under-bidding competitors so they spend as much as possible.
Users can also often define alternative bids to apply during
days and times when less attractive visitors are likely to be
active.
Additional options are available to users who
track the behavior on their Web sites. Most bid management
systems can either import results from third-party Web analysis
tools or from their own Web analysis services. These services
all require users to tag their Web pages with scripts that send
information about visitor sources and behaviors to a central
server. The bid management system uses this data to adjust bids
to reach target sales to advertising ratios or similar goals.
Some of the Web analysis services only measure ad results, while
others approach the capabilities of a dedicated Web analytics
package. Pricing for one million page views varies from $400 to
$1,000 per month, with higher rates for lower volumes and lower
rates for larger amounts.
The basic bid management systems manage each
keyword separately for each account with each search vendor.
Even reports are usually organized on an account basis, so
seeing the performance of a single keyword across multiple
accounts takes some work. Further complicating matters, some
vendors still run one system for Yahoo!/Overture keywords and
another system for Google and everyone else. The systems
generally do let users assign a group of keywords to a campaign
within an account and to set total spending limits per
campaign. But this still allows serious misallocations of
resources, since the efficient campaigns will stop when they run
out of money while less efficient campaigns continue to spend.
The advanced bid management systems avoid this
by first estimating the performance of each keyword on each site
at each bid price, and then creating a package of recommended
bids that produces the desired results as efficiently as
possible. The optimization may target total volume, average
cost, return on investment, or other goals. This is a much more
complicated task than keyword-level management but probably
worth the extra expense for marketers spending large amounts of
money on many different keywords.
David M. Raab is president of
ClientXClient, a consulting and software firm specializing in
customer value optimization. He can be reached at
draab@clientxclient.com.
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