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How much are you burning on Click Fraud? Recent
reports suggest that if you are using paid advertising
in search engines, it could be a double-digit
percentage in some competitive market categories
such as gambling, travel and financial services,
but much lower in others. So it's a question
worth asking with some companies spending hundreds
of thousands or even millions on paid listings
in search engines.
In this review I will look at the different types of click fraud, who the potential
perpetrators are, and how to assess whether it is happening to you using different
measures and software tools. This article is not an introduction to Pay Per Click
marketing. If you aren't familiar with the concepts and practice of Pay Per Click
marketing, you may want to check this recent WNIM article: http://www.wnim.com/archive/issue3705/emarketing.htm.
Click fraud on Paid Search advertising is nothing
new - it has always existed. When I describe
the concept of Pay Per Click marketing to any
marketer new to it, the light-bulb soon comes
on: 'so I can get someone to click on my competitor
ads and bankrupt them?' they ask!
The growth in click fraud was brought home
to me recently in a session by Mike Grehan of
Smart Interactive at the recent E-metrics Summit
(summarised in the Net Imperative piece referenced
at the end of this article).
Mike revealed that large-scale click fraud
is now rife in many sectors beyond the casino
sector to which I thought it was largely limited.
It is difficult to say exactly how big this
problem is, but in some sectors, it is thought
that click fraud can account for over 10% of
clicks. With paid search becoming more competitive,
this volume will certainly affect profitability.
Not to mention the sheer waste of paying for
ad spend with absolutely no return.
What is click fraud?
Mike explained there are two main types of click
fraud:
" Click fraud - this is simply where a
third-party generates clicks on a paid advertising
link to drive up advertising costs with no intention
to conduct business. These clicks can occur
on ads placed on the search engine results page
(search fake clicks) or ads placed on third
party sites by a search ad network (content
or contextual ad clicks)
" Impression fraud - generating false search
queries
This type of fraud can potentially occur on
any of the main ad networks such as Google Adwords
(www.google.com/adwords),
Overture (www.overture.com)
or Miva (www.miva.com)
which are used to place paid search ads.
Fake clicks or impressions can be generated
either through manual clicks on the links or
automated clicks through illicit software tools
that generate clicks fake appearing to originate
from different IP addresses, so that they cannot
be detected by the search ad networks which
watch for repeated clicks from the same source.
Another alternative is to pay a virtual team
of clickers to click - this can be worthwhile
with ads generating value of several dollars
to site owners with context sensitive ads on
third party sites.
This idea has been around for a while now - read the Times of India article
- India's secret army of online ad 'clickers': http://timesofindia.indiatimes.com/articleshow/msid-654822,curpg-1.cms.
Know your enemy
So, who are the perpetrators of click fraud?
They can include:
1. Direct competitors - this activity
is typically manual and relatively small scale
for ethical reasons, or perhaps more likely
fear of legal recourse and reputational damage!
2. Affiliates - Affiliate marketing is the arrangement where owners of
third-party sites gain commission for leads or sales gained on merchant sites
by referring visitors to them. Affiliates tend to be sophisticated in search marketing
and will, in some cases, use whatever it takes to compete with other affiliates
or even with the brand sites which they promote. Affiliates are more likely to
use automated click faking tools. Mike explained three common tactics for click
fraud:
(a) Drive up advertising costs forcing you
to increase your budget or drop out of competing
on advertising
(b) Similarly, to deplete your budget and make
the advertiser invisible for the rest of the
day if they have set a maximum daily budget
in Google Adwords, which is the typical practice
(c) Impression fraud - a more sophisticated
approach which involves increasing ad impressions
for rival advertisers, but not their clicks,
so reducing their clickthrough rate. This can
be done by the perpetrator suspending their
own ads while impressions are generated. In
Google, your ad position is dependent on clickthrough
rates in addition to your bidded price per click.
So, in Google, impression fraud may lead to
your listing position falling and may even lead
to dropping of ads by Google if it deems their
clickthrough or relevance is too long.
3. Site owners - using Google Adsense or Overture Content Match, which
display ads on third-party sites according to the context of content on
your site (like my site, see www.davechaffey.com/Internet-Marketing)
may manually or automatically click on links to generate revenue (unlike this
site owner - no time, too ethical). This is sometimes known as Network Click Fraud.
Incredibly around a half of Google's revenue is from these third-party contextual
ads, yet those in the know sometimes find that clicks from these sources don't
tend to convert at the same rate since customers typically aren't in research
or buy-mode like they are within the main search engines - they are more impulse
clicks. So look carefully at whether you are getting value from Google contextual
Ad Sense ads or Overture Content Match ads. Warning, Google has recently won
a judgement for $75,000 against a site owner who have used this approach on
a large scale!
4. Customers - not strictly click fraud,
but existing customers get into the habit of
clicking on paid search ads to access a site
but are not driving new business. Not much you
can do about this, expect
perhaps changing the ad copy, educating about
bookmarking or encourage clickthroughs via E-mail.
Checking for Click Fraud
So finally, what to do to avoid or at least
minimise Click Fraud?
Well - first check your agencies or internal
team's knowledge of click fraud - ask them about
the different types of problem and see whether
they are aware of them.
Second, ask them how they check for and how
they will report to you on the extent of click
fraud.
Mike Grehan suggested you should assess these
metrics using a combination of your web analytics
software and your software for managing your
paid search campaigns:
" Average daily clicks (e.g. an increase
from 10 per day to 100 per day suggests click
fraud)
" Click volume trends by hour and day to
see spikes in click volume
" Average page views per click (this will
fall if people are not browsing around the site
as would be expected from normal search behaviour)
" Average conversion rate per keyword,
per click
" Click averages based on specific paid
search positions
" Volume of clicks with zero conversions
" Off peak click times or dates
" Look for new competitors for your keyphrases
and whether some have dropped out as clickthrough
has increased
" Check the difference between clicks recorded
by the ad network management system and actual
clicks arriving at your site identifiable from
your web analytics tool. If there are more actual
clicks arriving than those reported by the ad
network, they may have filtered some clicks
out which they regard as fraudulent.
These measures can be used at an aggregate
level which is straightforward or you should
check whether you have the capability to report
these for individual keyphrases or groups of
keyphrases. For detailed analysis, it is necessary
to have granular data about searches, so that
you can report on searches performed for different
keyphrases on the different ad networks. In
some cases, it may be necessary to refer to
raw log-files generated by the web server for
each page downloaded to assess the frequency
of clicks or even check for someone with a similar
IP address or PC/browser setup (e.g browser,
screen resolution, etc which are available from
tag-based web analytics solutions).Your log
files also become important when submitting
your complaint to the search ad network, since
they act as a form of proof of the click fraud.
So for serious investigation of this problem,
you probably need to combine different forms
of web analytics tools such as tag or browser-based
and server-based (See What's New in Marketing
http://www.wnim.com/archive/issue04/emarketing.htm
for more details on these tools).
To answer this second question, additional
software tools specifically designed to tackle
this problem may be available that can help.
The best known is Who's
Clicking Who, but Googling "Click fraud
detection" reveals there are now several
specific solutions available, plus more general
web analytics tools.
What to do when you think you have been
defrauded?
The search engine ad networks take click fraud
seriously, since it undermines their proposition
and can potentially do them reputational damage.
This was highlighted at the end of last year,
when Google Chief Financial Officer George Reyes
said:
"I think something has to be done about
this really, really quickly, because I think,
potentially, it threatens our business model"
If you have good evidence to support your claim
of click fraud you can typically expect a prompt
response from the ad network. If you believe
click fraud has occurred, provide a succinct
summary of your evidence, but you will also
need to back it up with reports from the ad
networks reporting software and your web analytics
software or log files. Grehan (2005) gives an
example of a click fraud problem that was submitted
to the network and a refund granted.
Click fraud - The future
Click fraud is another frustrating issue within
E-marketing which seems as if it can only get
worse, hence my highlighting it now. The potential
for unscrupulous folks to make money through
click fraud is just too high and it is relatively
difficult to identify if the perpetrator is
sophisticated in generating fake clicks across
a range of IP addresses over a period of time.
On the positive side, the search engines are
taking legal action against some publishers
generating fake clicks on contextual ads and
some providers of automated click-faking tools.
They are also likely to be boosting their click
fraud detection tools, although they are highly
unlikely to publicise this.
Some argue that click fraud is simply a cost that is borne by the advertiser
and it should be factored into the overall campaign Return on Investment (ROI).
If paid search is still delivering favourable ROI in comparison with other media,
then what's the problem? The problem is that click fraud will always target particular
phrases, which means that optimising on these phrases is difficult if they are
not generating ROI. Perfectly valid phrases may be deleted as poor performers
if click fraud is not taken into account.
Looking further forward, we may see a move
to a form of paid search based on Cost per Acquisition
(CPA) where the advertiser only pays where there
is an event on the web page which demonstrates
a lead or sale (for example, completing a registration
or enquiry form). With the recent advent of
Pay Per Call arrangements, this is effectively
a CPA arrangement which is much less prone to
fraud. Of course, the search ad networks will
resist such a CPA arrangement since it will
hit their revenues and it is only really appropriate
for transactional e-retail. Maybe it could become
an option though for certain e-retail-related
phrases and advertisers would bid higher amounts
if they are paying for a guaranteed sale.
Whatever happens, it will lead to some difficult
strategic e-communications decisions. Perhaps
increasing prevalence of click fraud suggests
that companies should invest more to become
more refined in their search engine optimisation
which is not subject to this form of fraud.
Another alternative is to increase reliance
on affiliate marketing, since this is a CPA
deal, and the risk of click fraud is borne by
the publishers who are members of the affiliate
network. One thing is for sure, it's a crazy
situation where a billion dollar economy has
grown up based around clicks on the humble hyperlink.
Next month's article
In the autumn issues of E-marketing Insights
we will move away from the web for a while,
looking at the latest developments in other
new media such as mobile marketing, interactive
Digital TV and radio.
References and Further reading
Grehan, M. (2005) The click, the fraud and the
ugly side of search, Net Imperative, 23rd June
2005. www.netimperative.com.
http://www.netimperative.com/2005/02/01/click_fraud
Lee, K. (2005) Click Fraud - What it is, How
to Fight It. . ClickZ : http://www.clickz.com/experts/search/strat/article.php/3483981
About the author
Dr Dave Chaffey is workshop leader for a range of one-day e-marketing training
workshops from the The Chartered Institute of Marketing:
E-mail Marketing (www.cim.co.uk/0766)
Running Effective E-marketing Campaigns (www.cim.co.uk/0767)
Improving Your Results from Digital Marketing (www.cim.co.uk/1138)
Marketing Research Using the Internet (www.cim.co.uk/1135)
Go to www.cimtraining.com
for course details and online booking.
Dave Chaffey is trainer and consultant for
Marketing Insights Limited (www.marketing-insights.co.uk)
and E-marketing Director at Ripe.
He is a prolific e-business author whose books
include 'Total E-mail Marketing', 'Internet
marketing: Strategy, Implementation and Practice'
and E-business and E-commerce Management.
Read Dave Chaffey's blog (www.davechaffey.com)
for E-marketing Essentials - the 5 "must-read"
articles about online marketing from the hundreds
Dave reads each month.
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