As direct response
online campaigns become more prevalent, the need for accurately
attributing results to media vendors has become a concern. An estimated
30-40% of users who see an online ad do not immediately click through to
the site, but return on their own at a later time. In addition, the
branding effect resulting from the serving of hundreds of millions and
sometimes billions of impressions is not taken into account.
The post-impression visit attribution has been verified not only by
Mediasmith client campaign experience, but also by the Engage Online
Advertising Report Summer 2001, which puts the figure at 36%. These
post-impression users are highly valuable, as the awareness level
required to return of your own accord is much higher than that of those
that immediately click through. The same Engage Online Advertising
Report Summer 2001 showed that post-impression converters are 60% more
likely to be repeat customers than post-click converters. The efficacy
of ad campaigns budgeted by advertisers is not being accurately measured
in many Cost Per Action and Cost Per Click deals, since these
post-impression users are often not credited back to the specific media.
Most ad serving systems allow for accurate tracking of these users,
however the cost of serving ads in a CPA/CPC scenario is often
prohibitive. (The "effective" CPM on a CPA or CPC deal is extremely low,
as a function of the number of impressions that must be served to
generally make a deal pay out. As a result, 3rd party serving costs can
represent too large a percentage of the total buy to be affordable). CPA
and CPC campaigns are generally tracked using only a unique 3rd Party
URL, rather than an image redirect html tag, as in a CPM campaign. While
this method allows for detailed back-end tracking at the advertiser site
level, it does not account for the post-impression user, as mentioned.
Leaving these users unaccounted for has implications for the
advertiser, the agency, the 3rd party ad server and the sites.
The overall performance of an ad campaign can be improved
dramatically by the identification of sites that deliver post-impression
users, as it allows for more intelligent optimization, renewal
decisions, and planning. These combine to improve the ROI through
increased margins for the marketer/advertiser. This therefore helps to
rationalize Interactive ad budgets in the long run. In addition, the
long (and even short) term branding effect of the Web is being
increasingly documented. Any CPA or CPC advertiser will verify the jump
in "non-attributable" traffic that happens when a new campaign is
launched.
Overlooking the post-impression data has led to the exclusion of
significant commissions for the agency, effectively eliminating the
profit margin on many Direct Response campaigns.
The wide variation from site to site of the portion of activities
conducted post-impression can often lead to a miscalculation of site
performance. Sites may out-perform others on a buy by a large gap when
post-impression is taken into account, however these sites appear to be
under par when looking only at post-click data. As mentioned in the
advertiser section above, this impacts optimization, renewal, and future
planning. Additionally, sites are not being fairly compensated for the
activity they drive.
As pricing structures and campaign objectives continue to evolve in
the online medium, we are always seeking solutions to improve ROI and
accurately and fairly compensate all parties involved. The following
details a process for ensuring this in CPA/CPC campaigns.
OBJECTIVE
Accurately account for the post-impression activity that occurs in a
direct response campaign
Account for the branding benefits that occur in a direct response
campaign
Maintain tracking and serving costs at an acceptable level
PROCEDURE
It has been determined that serving the entirety of the vast amount
of impressions required to meet a CPA or CPC goal through 3rd party
adservers is generally inefficient and makes it difficult to cap costs.
It has also been determined that accounting for the post-impression
users is beneficial to all parties involved. This leads to the process
of attribution described here, a stopgap measure until an affordable
technology solution can be found. (Companies like DoubleClick have
stated that they are conscious of this market and are working on product
solutions).
The amount of impressions that would likely be served to fulfill the
Cost per Action or Cost per Click components of the campaign needs to be
determined. Of this overall impression estimate, perhaps only a small
percentage needs to be served to accurately project the post-impression
response across the components. What is this small percentage? It is one
where the impression number is large enough so that given a
creative/site CTR and site conversion level determination, a
statistically significant number of actions exists.
For example: Client goal is $3.00 net per registration for a service.
Assuming that the creative to be used has been tested and yielded a CTR
of .6%. This creative and the client's landing page together yield a
conversion rate of 10% across similar media. If the site is allotted
$10,000 for the campaign, it should be able to reach the registration
goal with 5,555,555 impressions. The minimum we'd like to look at for
purposes of statistical significance is 166K. Assuming one placement on
the site, and two creative, the statistically significant level for
attribution is 50 x 2 x 1 x (1/.6%) x (1/10%) = 166,666 impression,
where 50 is the minimum number of actions we might consider to be
statistically significant.
This pre-determined number of impressions would be served through a
3rd party adserver using an image redirect tag. This allows us to see
the percentage of post-impression users attributable to the particular
site for this campaign on an average daily basis. Once the efficient
impression number is reached, the site will then commence with serving
the impressions and a unique clickthrough will be used to track back-end
actions. In the example above, given an adserving fee of $.32 CPM, the
serving fees for post-impression attribution testing purposes would be
$53, vs. $1,666 for serving all the impressions.
For the remainder of the campaign, the number of post-impression
actions will be determined by applying the ratio between post-impression
and post-click actions from the initial run on an attribution basis.
For long-term campaigns, the image redirect tags will be
re-implemented and the accuracy of the attribution level will be tested
from time to time. In addition, if there is a change in creative
direction, a significant change in the offline portion of the campaign,
or a major site change, the attribution level will be re-tested.
When there are reasons to suspect that post-impression activity may
be heavily influenced by outside "noise" caused by other advertising
efforts, PR, or word of mouth, a post-impression baseline should be
determined. This baseline will be the amount of activity caused by
non-campaign noise, and should be subtracted from post-impression
reporting. The baseline is measurable by serving non-brand/product
creative, such as Public Service Announcement banners, to a small
percentage of the campaign's impression, across all
site/section/placements to avoid skews.
For major campaigns, clients are doing themselves a disservice if
they do not tap into the branding pre and post campaign awareness
testing services offered by Dynamic Logic or Millward Brown
Intelliquest. The cost of these services is amazingly affordable given
the value that can be derived.
Technology Solutions
Some other solutions for this issue are foreseeable in the near
future.
For instance, the 3rd party adserver could create a pixel that is
placed on sites using the company's publisher side solution (e.g., DFP).
This pixel would be unique to the advertiser's campaign and be used for
tracking. This would benefit the adserver in that, a) they will generate
more adserver volume, b) sites that they currently represent will have
an increased incentive to use the publishing system, since their payout
numbers will be greatly increased on CPA deals, and c) they may be able
to get sites not currently using their system to test under the auspices
of adding more dollars to the bottom line for the site.
There is also the potential within an ad serving/ tracking system to
have it serve impressions only to a pre-determined level (such as
calculated above). During that period, an impression projection is
developed, and once that has been calculated, the serving automatically
reverts to site-side (external or its own publisher solution). This
solution will need some minimal code tweaks on the adserver side but it
is believed to be achievable within current technology parameters.
A more affordable ad serving solution may also be the answer, as the
current cost of adserving is contributing to the inefficiency of the
process. A partial solution may be to decrease the amount of information
being collected on the back-end (limit pixels to 1 or 2), thus
decreasing data storage cost. Another may be for the ad server to change
the pricing model for such deals to a percent of the spend rather than a
CPM basis.
Client-side metrics may provide a solution, whereby the site serves
the ad while the client-side engine does the counting. Adserving costs
are therefore redirected completely to the site, leaving only the
counting, software and service, to be paid for by the advertiser.