tag:blogger.com,1999:blog-10324027575615327292024-03-13T03:23:35.175-05:00Viewthrough.orgHome of the Viewthrough Measurement Consortiumdgthttp://www.blogger.com/profile/11323495089986050616noreply@blogger.comBlogger18125tag:blogger.com,1999:blog-1032402757561532729.post-87018510770168154312016-07-04T11:16:00.003-05:002016-07-04T11:29:44.032-05:00Ban the Banner?Interesting article on AdExchanger, "<a href="http://adexchanger.com/tv-and-video/rise-addressable-video-banner-ad-bans" target="_blank">The Rise Of Addressable Video And Banner-Ad Bans.</a>" Seems to be the latest in an attempt to kill off banner advertising. Generally, a bad idea and kind of like throwing the baby out with the bath water.<br />
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<a href="http://adexchanger.com/tv-and-video/rise-addressable-video-banner-ad-bans" target="_blank"><img alt="http://adexchanger.com/tv-and-video/rise-addressable-video-banner-ad-bans" border="0" height="231" src="https://episcopalgenerations.files.wordpress.com/2012/04/baby-in-bath.jpg" width="320" /></a></div>
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Display ad media (banners) are notoriously hard to measure especially if your strategy is an upper funnel one where clicks do not make sense as a KPI. Most banner ads seem to be about awareness or engagement in spite of that. Digital marketers should stick with proven ad research methods, e.g. brand lift studies or dig deeper into analytics using passive brand impact measurement like viewthrough. And of course there is always algorithmic attribution that can help.<br />
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A bigger threat to display media's viability is <b>ad blocking</b>, which prevents display ads and any associated tracking tags from being served up. Yes, that means no potential for viewthrough (or clickthrough) if there are no ads presented to the user.<br />
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<a href="http://www.the-digital-reader.com/wp-content/uploads/2012/11/logo-adblock-plus1.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="200" src="https://www.the-digital-reader.com/wp-content/uploads/2012/11/logo-adblock-plus1.png" width="200" /></a></div>
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In addition to the reduced page clutter (what most people seem to want),
ad blockers are also a good way to speed up your Web browsing
experience. Unfortunately, too many publishers do not use advanced tag management to reduce the strain put on browsers when 25-50-100 3rd party cookies and tags fire in the browser.<br />
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<a href="http://www.iab.com/insights/ad-blocking/" target="_blank"><img alt="http://www.iab.com/insights/ad-blocking/" border="0" src="https://www.iab.com/wp-content/themes/iab/assets/img/iab-logo.png" /></a></div>
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<a href="http://www.emarketer.com/Article/US-Ad-Blocking-Jump-by-Double-Digits-This-Year/1014111" target="_blank">According to eMarketer</a>
this is going to be a 25% de facto tax on publisher audiences. Some are
however, asking users to shut off their ad blockers when visiting <i>their</i> site. Here is the official word from the <a href="http://www.iab.com/insights/ad-blocking/" target="_blank">IAB on ad blocking</a>. dgthttp://www.blogger.com/profile/11323495089986050616noreply@blogger.com0tag:blogger.com,1999:blog-1032402757561532729.post-38809086989088296032015-09-10T08:35:00.001-05:002015-09-10T08:35:41.584-05:00What's the difference between viewthrough and viewability?<!--[if !mso]>
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<br />
In case you haven’t noticed, digital marketing performance
is more important than ever. With advertiser’s increasing need for
accountability and measurement tools evolving to meet that need, there is major
and growing interest in associated ad analytics or adverlytics. More
specifically, display viewability measurement and attribution are hot topics.
Yet, before the explosion in ad <b>viewability</b> technologies and an enthusiastic trade
group response to standardize (<a href="http://www.iab.net/viewability" target="_blank">IAB</a>, <a href="http://www.mediaratingcouncil.org/Accredited%20Services.htm" target="_blank">MRC</a>), <b>viewthrough </b>remains complicated and mysterious.<div class="MsoNormal">
<br /></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<span style="mso-no-proof: yes;"></span></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<span style="mso-no-proof: yes;"></span></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<span style="mso-no-proof: yes;"></span></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<span style="mso-no-proof: yes;"><img alt="" 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" /></span></div>
<div class="MsoNormal">
Even among experienced digital marketers, agencies and
analytics professionals, there is often confusion around these terms with many
people using the terms wrong or inter-changeably. They each describe important
steps in the digital advertising funnel with viewability an important first
step towards measuring exposure and viewthrough gauging post-exposure latent
response. It makes a lot of sense to use these tracking methods together.</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<b style="mso-bidi-font-weight: normal;">Viewthrough Defined</b></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<b>Display viewthrough measurement</b> has been around since the
late 90s and the advent of agency or <br />
3<sup>rd</sup> party ad serving (3PAS). That means an advertiser’s digital
media agency centrally manages the serving of their display ad campaign across
multiple Web sites and/or ad networks. Typical tools used for this purpose
include Sizmek, Pointroll, Google DoubleClick and Atlas. The beauty of this
approach is having one report that consolidates one or multiple campaign
performance metrics across multiple media vendors. The advertiser-centric
approach and even allows for performance analysis by placement, ad size or
creative treatment across media vendors. Prior to this, agencies had to collect
the reports from each media vendor and doing cross-dimension analysis required
advanced Excel manipulation. Included in the consolidated report was usually
impressions, clicks, media cost a calculated click rate and effective CPM (cost
per thousand). Potentially average frequency of ad delivery could also be
reported. </div>
<div class="MsoNormal">
<br /></div>
<b style="mso-bidi-font-weight: normal;"><span style="font-family: "Calibri",sans-serif; font-size: 11.0pt; line-height: 107%; mso-ansi-language: EN-US; mso-ascii-theme-font: minor-latin; mso-bidi-font-family: "Times New Roman"; mso-bidi-language: AR-SA; mso-bidi-theme-font: minor-bidi; mso-fareast-font-family: Calibri; mso-fareast-language: EN-US; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: minor-latin;"></span></b>
<div class="MsoNormal">
<b style="mso-bidi-font-weight: normal;">How Viewthrough Works</b></div>
<div class="MsoNormal">
As a more advanced option, the ad server could generate a
special beacon tag which could be coded on an important digital event on the
client’s Web site, e.g. a visit to the home page, playing a game, initiating a
particular download and most obviously the rendering of an order thank you
page. The latter being a revenue-generating conversion. The way it works is
simple enough: the ad server site code that is placed is page-specific and
named in a certain way with a certain ID. When that beacon tag fires, the ad
server increments the count for that specific ad. The ad server uses clicker
cookies to distinguish between clickthrough conversions and viewthrough
conversions by the presence of a click cookie that is served to the browser if
they click an ad. Generally, a viewthrough can be simply a visit to the target
site or it can be an actual ecommerce conversion.</div>
<div class="MsoNormal">
<br /></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<span style="mso-no-proof: yes;"><img alt="" height="360" 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" width="640" /></span></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<b style="mso-bidi-font-weight: normal;">Fig 1. Viewthrough Process</b></div>
<div class="MsoNormal">
<br /></div>
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In practice this meant that digital advertisers were no
longer limited to the more direct-response oriented clickthrough rate for measuring
display campaign performance. With viewthrough they could also analyze the
passive impact of display which is more difficult to measure since it is not
immediate and is harder to measure than clickthroughs which use appended query
string parameters in the landing page clickthrough URL. That said, viewthrough
measurement from the ad server is not enough as unscrupulous ad networks
learned to do what is called cookie-stuffing to take advantage of affiliate
advertising systems. </div>
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<b style="mso-bidi-font-weight: normal;">Site Analytics
Technology Matters</b></div>
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Going beyond simplistic, ad server viewthrough measurement
is not easy for digital marketers and technology choices matter. The
complexities of generating and managing ad server site tags has also made
ubiquitous measurement operationally difficult. What’s more ad server counting
of viewthrough was an afterthought. The solution to better viewthrough
measurement is ingesting ad server data into the site analytics system where site
taxonomy, visitor uniqueness, multiple marketing channels and event level
tracking infrastructure already exists. Another option are the better
algorithmic attribution systems; a couple even integrate display viewability
into their solution (ideal).</div>
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The reality is that there is are a few site analytics
platforms that integrate with the ad servers in the market today. All are not
created equal, not independent of media and there are significant differences
in the methodologies. The integrations can be complex but well worth it for
advertisers spending more than $10MM per year in display media. However, the
learnings are significant when it comes to understanding customer’s digital
path to the target Web sites and the latent effects of display ads
(banner/video/mobile). </div>
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Last, a word of caution: the best way to really understand display
media from a viewthrough standpoint is through periodic incrementality
analysis, i.e. test and control. </div>
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<b style="mso-bidi-font-weight: normal;">Viewability Defined</b></div>
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<b>Display viewability </b>is a newer capability for digital
marketers that has really caught on over the last five years. Essentially,
display viewability leverages Web technology that can determine how much of an
ad is “in view” of the user’s browser window and for how long. While there is
some additional complexity involved, simply put this offers a way for digital
advertisers to really understand the quality of the ad inventory that they are
buying from Web publishers and ad networks.</div>
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" width="640" /></span> </span></div>
<div align="center" class="MsoNormal" style="text-align: center;">
<b style="mso-bidi-font-weight: normal;">Fig 2. Viewability Process</b></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<b style="mso-bidi-font-weight: normal;">Industry Reaction to
Measuring Ad Viewability</b></div>
<div class="MsoNormal">
Not surprisingly, ad viewability has met with resistance
from publishers and even media agencies though it is of obvious interest to
advertisers. By better managing viewability, advertisers can ensure they
maximize the value of their display spend in terms of both raising awareness
and driving a measureable response (clickthrough, viewthrough, engagement,
conversions). Unlike viewthrough which languished for years as somewhat of a
stepchild metric, The Internet Advertising Bureau (IAB) and the Media Ratings
Council (MRC) stepped in early on viewability to create some early standards:
50% or more of an ad for at least 1 second. Advertisers can certainly raise the
bar here but there is at least a baseline.</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
Ad viewability is fairly easy to implement on a display campaign
but can often be challenging to operationally integrate into media performance
reporting. As a best practice, having an independent analytics team pilot test
and benchmark current performance will help gauge how much upside potential
there might be.</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<b style="mso-bidi-font-weight: normal;">Rising Tide Lifts All
Ships</b></div>
<div class="MsoNormal">
It stands to reason that you cannot have a clickthrough
without an ad first being viewable. If an advertiser were to increase their ad
viewability rate from 50% to 75% that would likely mean the number of clicks
and therefore clickthrough rate should increase. Similarly, you cannot have
legitimate viewthrough without an ad first being viewable. Increasing ad
viewability rates should also benefit viewthrough rates as well.</div>
<br />
<ul>
<li><span style="font-family: Symbol; mso-bidi-font-family: Symbol; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;"><span style="font: 7.0pt "Times New Roman";"></span></span></span><i style="mso-bidi-font-style: normal;">Viewthrough
- </i>It’s all about response measurement. Advertisers ultimately should be
very keen on measuring viewthrough from display media if they are interested in
Web site engagement and even more so if an online conversion is possible
(offline measurement is also possible).</li>
<li><span style="font-family: Symbol; mso-bidi-font-family: Symbol; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;"><span style="font: 7.0pt "Times New Roman";"></span></span></span>V<i style="mso-bidi-font-style: normal;">iewability</i>
– Think front-end of the advertising process, i.e. the inputs. The focus is on doing
what branding has always sought to do through media campaigns: create an
impression, influence behavior or change preferences.</li>
</ul>
<br />
<div class="MsoNormal">
</div>
<div class="MsoNormal">
As you can see, while they are certainly related viewthrough
and viewability are very different. Measuring and optimizing viewability should
be a self-evident way to improve those front-end metrics that will likely also boosts
downstream ones. Viewability and viewthrough can and should work together.</div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<br /></div>
dgthttp://www.blogger.com/profile/11323495089986050616noreply@blogger.com0tag:blogger.com,1999:blog-1032402757561532729.post-57008987600955225642014-03-02T11:54:00.000-06:002014-03-02T11:54:39.317-06:00Twitter Handle UpdatePlease make note that the <a href="http://www.twitter.com/MrViewthrough" target="_blank">@viewthrough_org</a>, Twitter handle has now been replaced by <a href="http://www.twitter.com/MrViewthrough" target="_blank">@MrViewthrough</a>...!dgthttp://www.blogger.com/profile/11323495089986050616noreply@blogger.com0tag:blogger.com,1999:blog-1032402757561532729.post-43603452738424255832014-02-17T17:24:00.001-06:002014-02-18T08:08:20.476-06:00IAB Recognizes Viewthrough<br />
<br />
<div style="text-align: center;">
<a href="http://www.iab.net/" target="_blank"><img alt="Interactive Advertising Bureau -- Dedicated to the growth of interactive advertising" border="0" src="http://www.iab.net/media/image/new-iab-logo.gif" height="95" title="Interactive Advertising Bureau -- Dedicated to the growth of interactive advertising" width="184" /></a> </div>
<br />
From their annual meeting in Pam Springs, CA, the <a href="http://www.iab.net/" target="_blank">Internet Advertising Bureau</a> published its <a href="http://www.iab.net/media/file/Ad_Engagement_Spectrum2014_FINAL2-5-2014-EB.PDF" target="_blank">Defining Cross-Platform Engagement</a> White Paper. While there are plenty of interesting metrics to be found, we're excited to see a short and sweet definition of viewthrough. Positioned as one of the three categories, Display Viewthrough is included among behavioral metrics.<br />
<br />
<b>Definition:</b> Number of Brand site visits that could have been influenced by display media within a particular look-back window.<br />
<b>Measureable Today:</b> Yes, Web Analytics<br />
<br />
While this is a small victory for the cause of viewthrough measurement, there is plenty more to do to get the word out about VT. We'd like to advise the IAB that the prior metric included in this section of their study, "Video Completion Viewthrough Rate" ought to get a different name - perhaps "Play-through?" It is bad enough that Viewthrough and Viewability, are routinely confused but this could actually obfuscate the different kinds of post-impression behavior, e.g. VT Visits, VT Conversions, etc...Also, the following metric listed, "Searched for More Information" could also use a better name - Viewthrough Site Search?<br />
<br />Other considerations:<br />
<ul>
<li>VT does not have to be at a branded site although this is most likely, e.g. related microsites</li>
<li>Any high-value task that can be measured in a Web analytics platform could have a VT source</li>
<li>Look-back windows are usually set by the ad server not Web analytics systems</li>
<li>Like the "could have been influenced" but no mention of how to understand incrementality</li>
</ul>
<br />
Scroll down to Page 10 of the <a href="http://www.iab.net/media/file/Ad_Engagement_Spectrum2014_FINAL2-5-2014-EB.PDF" target="_blank">Defining Cross-Platform Engagement</a> White Paper, to read it for yourself.<br />
dgthttp://www.blogger.com/profile/11323495089986050616noreply@blogger.com0tag:blogger.com,1999:blog-1032402757561532729.post-46041487663787221692014-02-09T12:52:00.001-06:002014-02-09T12:52:01.645-06:00Mass Surveillance?<!--[if !(lt IE 8)]><!-->
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<!--<![endif]-->dgthttp://www.blogger.com/profile/11323495089986050616noreply@blogger.com0tag:blogger.com,1999:blog-1032402757561532729.post-46344949374436309342013-11-27T11:13:00.004-06:002013-11-27T11:13:46.241-06:00This Blog is now Google Analytics freeWe've been tinkering with the open-source Piwik analytics for some-time now and are pleased to be retiring Google Analytics page tagging. Soon we'll be moving to WordPress, so long Google!<br />
<br />
The VMC Managementdgthttp://www.blogger.com/profile/11323495089986050616noreply@blogger.com0tag:blogger.com,1999:blog-1032402757561532729.post-15905273423207808452013-09-14T07:40:00.001-05:002013-09-14T07:40:19.883-05:00DAA Chicago Symposium 2013<h2 style="border-bottom: 0px; border-left: 0px; border-right: 0px; border-top: 0px; clear: none;">
<a href="http://www.digitalanalyticsassociation.org/symposium2013-chicago" target="_blank">Connecting the Dots: Optimizing the Customer Experience in an Omnichannel World</a></h2>
<h4 class="eventDetails">
Tuesday, September 17, 2013<br />
10:30 - 12:00pm Student & Entry Level Primer<br />
12:00 - 1:00pm Registration, Networking & Exhibit Browsing<br />
1:00 - 5:30pm Symposium<br />
5:30 – 7:00pm Cocktails & Reception</h4>
The Mid-America Club<br />
200 E Randolph Drive, 80th Floor<br />
Chicago, Illinois 60601<br />
<br />
http://www.digitalanalyticsassociation.org/symposium2013-chicagodgthttp://www.blogger.com/profile/11323495089986050616noreply@blogger.com0tag:blogger.com,1999:blog-1032402757561532729.post-55995928751738651612013-07-03T07:25:00.001-05:002013-07-03T07:25:34.668-05:00In Support of IAB<span style="font-family: Georgia,"Times New Roman",serif;">While we don't always agree with IAB when it comes to viewthrough, a recent post on AdExchanger deserved support: <a href="http://www.adexchanger.com/online-advertising/iab-mozilla" target="_blank">IAB Vs Mozilla: Randall Rothenberg Takes The Gloves Off</a></span><br />
<br />
<div>
<span style="font-family: Arial; font-size: x-small;">The Viewthrough Measurement Consortium supports the
IAB's position. The idea of a centralized cookie clearinghouse <span class="988495311-03072013">run by people with anti-business agenda </span>is
suspect. When Mozilla forces users out by default, that smacks of paternalism if
not Bolshevism. The natural quid pro quo between a publisher and their online
audience is being hi-jacked as a result<span class="988495311-03072013"> of these
maneuvers</span>. Meanwhile, the biggest threat to privacy is likely the Feds
who have effectively unlimited resources and can use force to compel behavior.
Free people have a choice. </span></div>
<div>
</div>
<div>
<span style="font-family: Arial; font-size: x-small;">The question for the consumer (as always) is what's
in it for me? Today the choice is free content or free content (no
ads/tracking). Some will choose the latter. <span class="988495311-03072013">Right
now, </span>consumers of ad-supported content really don't know what it costs to
provide it and there is no penalty for blocking ads or cookies. VMC's position
is to let the consumer decide: their choice should be to either pay for the
content or accept ads/tracking...everybody else should get blocked by the
publishers<span class="988495311-03072013"> - meaning no or very limited
content/functionality</span>. Users can always opt-back in. </span></div>
<div>
</div>
<div>
<span style="font-family: Arial; font-size: x-small;">While it is great that browser companies want to
provide consumers with more control, the consumers themselves ought to make
their decision in a way that is also truly informed. Publishers have really got
to wake-up to actively owning this - that day is coming<span class="988495311-03072013">,</span> albeit slowly. For the Bolsheviks, there
really is no free lunch.</span></div>
<div>
</div>
<div>
<span style="font-family: Arial; font-size: x-small;"><span style="font-size: small;"><span style="font-family: Georgia,"Times New Roman",serif;">Related post from<span style="font-family: Arial;"> the </span>Tip of the Spear Blog: <a href="http://www.tipofthespearblog.com/2013/04/solutions-to-privacy-debate-lemons.html" target="_blank">Solutions to the Privacy Debate: </a><a href="http://www.blogger.com/null" target="_blank">Lemons, Carrots and Potatoes</a>. </span></span></span></div>
dgthttp://www.blogger.com/profile/11323495089986050616noreply@blogger.com0tag:blogger.com,1999:blog-1032402757561532729.post-62728416131345834532013-04-15T11:51:00.000-05:002013-04-15T11:51:40.337-05:00Buying a Stairway to Attribution - Part 2 (Getting Integrated)<span style="font-family: Arial,Helvetica,sans-serif;">In the last post, <b>Buying a Viewthrough Stairway to Attribution - Part 1</b>, we looked at the first two steps in viewthrough measurement. These two are easy enough and come from an ad network partner or your agency's display ad server.</span><br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="http://images.fineartamerica.com/images-medium/stairway-to-heaven-mary-sedici.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="228" src="http://images.fineartamerica.com/images-medium/stairway-to-heaven-mary-sedici.jpg" width="320" /></a></div>
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<div style="text-align: center;">
</div>
<a href="http://www.blogger.com/blogger.g?blogID=1032402757561532729" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"></a><span style="font-family: Arial,Helvetica,sans-serif;"><br /></span>
<span style="font-family: Arial,Helvetica,sans-serif;">Proceed to <b>Step #3 </b>brings together the two very different worlds of display ad servers and site-side analytics systems. At a high-level, these systems notoriously have measurement discrepancies - ad servers are typically server-side while modern site analytics solutions are all or in-part JavaScript based. In addition, there are different filters being used to exclude internal and robotic traffic.</span><br />
<span style="font-family: Arial,Helvetica,sans-serif;"></span><br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgGUzUnPH5tJa3WNZv2U7kHni5ltv1_u3IfJFn3JXfLbY4OD1tXuFV3999DcpeWisNlb_IhlUfeHQ-kDpXGevqJ6sUbQBD2JZErgwQ-xd8fNLBBdJgc-CFIDUL5aat2QwPvTBQrCi1tKp8/s1600/STep+3.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgGUzUnPH5tJa3WNZv2U7kHni5ltv1_u3IfJFn3JXfLbY4OD1tXuFV3999DcpeWisNlb_IhlUfeHQ-kDpXGevqJ6sUbQBD2JZErgwQ-xd8fNLBBdJgc-CFIDUL5aat2QwPvTBQrCi1tKp8/s400/STep+3.png" width="400" /></a></div>
<span style="font-family: Arial,Helvetica,sans-serif;"></span><br />
<span style="font-family: Arial,Helvetica,sans-serif;"><br /></span>
<span style="font-family: Arial,Helvetica,sans-serif;">Nonetheless, an integrated solution can be a <i>game-changer</i> for most digital advertising clients. Most are still struggling to understand the latent (non-click) but now quantifiable brand influence of display media on subsequent destination site behavior.</span><br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/proxy/AVvXsEgeNMxnvlQjmaGHYpYdl0yMYhYHd2G2D2_LMNSXuxY9AeqP3gj_hecguA9lplQ2qHMDRePYqU-TazhomvNrQNU_for8kFXwACYfDDvlz4G4qJRCP0bYTja1Lp-zLAijnzX_GhPoGlCeiFbXExMclq-qBUG0RlJVpbKnLg=" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="117" src="https://blogger.googleusercontent.com/img/proxy/AVvXsEgeNMxnvlQjmaGHYpYdl0yMYhYHd2G2D2_LMNSXuxY9AeqP3gj_hecguA9lplQ2qHMDRePYqU-TazhomvNrQNU_for8kFXwACYfDDvlz4G4qJRCP0bYTja1Lp-zLAijnzX_GhPoGlCeiFbXExMclq-qBUG0RlJVpbKnLg=" width="200" /></a><a href="https://blogger.googleusercontent.com/img/proxy/AVvXsEjGrtDVmSCxp8rshnNVDyTeybuiwo3WdUbQLVMo3kJLpwPEWaSmK61tM53q2ZNYnyUJS1KpjLqdPvp7s2JbjCo5wyd0dTWdHDdI6gzLF6b8-zUoyUQk5odZJUlcmHsdVnB2WhSXE7kr9fkwUvEAwSE0DplE4TGXKorP77G1SHVYxuf639U8TjB1xy4dfS90lVY=" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/proxy/AVvXsEjGrtDVmSCxp8rshnNVDyTeybuiwo3WdUbQLVMo3kJLpwPEWaSmK61tM53q2ZNYnyUJS1KpjLqdPvp7s2JbjCo5wyd0dTWdHDdI6gzLF6b8-zUoyUQk5odZJUlcmHsdVnB2WhSXE7kr9fkwUvEAwSE0DplE4TGXKorP77G1SHVYxuf639U8TjB1xy4dfS90lVY=" /></a></div>
<ol>
<li value="3"><span style="font-family: Arial,Helvetica,sans-serif;"><b>Site
Analytics integrated with Third-Party Ad Servers (3PAS)<br /></b></span><ul>
<a href="http://www.blogger.com/blogger.g?blogID=1032402757561532729" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"></a><a href="http://www.blogger.com/blogger.g?blogID=1032402757561532729" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"></a>
<li><span style="font-family: Arial,Helvetica,sans-serif;"><i>Upside:</i> A really powerful way to advance
viewthrough measurement capabilities is to leverage the data contained
in the digital media agency's ad server. From that standpoint, the digital marketer is combining the best of both worlds: a) digital media agency-of-record's ad
server platform and b) existing in-house site analytics
system-of-record. There are two distinct approaches, either taking the analytics
platform and bringing it up the funnel into the ad delivery through ad tagging or make
the site analytics platform talk to the ad server via integration. IBM Coremetrics takes
the former approach and Omniture Genesis takes the latter. This approach
is potentially very powerful because it considers all digital channels, both paid and unpaid in one place. For this reason, attribution can be
considerate of all the digital channels being employed. <i>Site analytics technologies
that have provided
related information to the VMC are included in the Viewthrough Capabilities
Scorecard. If yours is not included get in touch.</i> <br /></span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif;"><i>Downside: </i>Like ad networks/media
vendors, ad servers can only measure what they themselves have tracked
via the ads that have been delivered and their advertiser site-side tracking tags (DFA
Floodlights and Atlas Universal Tags). While this avoids the single
media vendor problem (now all display media being measured in one platform), its efficacy
is then limited to tag proliferation on the destination site; this usually means only
high-value tasks and conversions get tracked. Using a TMS (tag management platform) such as BrightTag can make this part much easier opening up deep-linked visitation and broader engagement activity. Difficulty on this approach can be high as either the integration must be configured upfront (Adobe Genesis) or there could be ongoing ad ops implications (CoreMetrics). </span><span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-family: Arial,Helvetica,sans-serif;">Be careful what you wish for here as
as the multiple fractional attribution methods enabled such as last-click,
last-touch,now operational beget questions that have
organizational/political implications.</span> Like Steps 1 and 2, most of the technologies in Step 3 do not yet have ad-viewability solutions integrated at this time.</span></li>
</ul>
</li>
</ol>
<span style="font-family: Arial,Helvetica,sans-serif;">In <b>Buying a Viewthrough Stairway to Attribution - Part 3</b>, we'll address the above point about fractional attribution. We'll look at taking this question </span><span style="font-family: Arial,Helvetica,sans-serif;"><span style="font-family: Arial,Helvetica,sans-serif;">away </span>altogether from human marketers and allowing the data to speak for itself through heavy datamining and algorithmic attribution modeling. </span>
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<div class="separator" style="clear: both; text-align: center;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
</div>
<div class="separator" style="clear: both; text-align: center;">
<br /></div>
<br />
<b><span style="font-family: "calibri";">The Stairway to Viewthrough Attribution</span></b><br />
<span style="font-family: "calibri";"><span style="font-family: "calibri";">One of the great things about the Viewthrough
Measurement Consortium (VMC) is the decentralized aspect, which enables
the collection of diverse points of view. </span>An outstanding point was made recently, which led to the thinking about the actionability of viewthrough tools and attribution approaches. That led to the conception of a viewthrough measurement progression chart, i.e. a kind of specialized Analytics Maturity Model. For</span><span style="font-family: "calibri";"> digital marketers seeking to understand the complex analytics around post-impression measurement, it is more of a <i>stairway to viewthrough attribution</i>...Hopefully, that doesn't offend Led Zeppelin fans too much.</span><br />
<br />
<span style="font-family: "calibri";">Delving deeper, there are five distinct steps in the <i>Viewthrough Stairway</i>. What's more, as tool capability increases so does technical complexity - it looks like this: </span><br />
<div class="separator" style="clear: both; text-align: center;">
</div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEik7T-SFrCSGODpJhBxNPBfTaRoTXe-uW6nTXvn4X8CY_ktKpxO_91lea36lGAx3rUh_17w56WTmEzlq5YFgqOhmb928FPV4JszIqRd7sBxlihQilZOh7tnM_mVA4dXCUIbMJhlcAWijEU/s1600/Stairway+to+Attribution+Heaven.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="480" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEik7T-SFrCSGODpJhBxNPBfTaRoTXe-uW6nTXvn4X8CY_ktKpxO_91lea36lGAx3rUh_17w56WTmEzlq5YFgqOhmb928FPV4JszIqRd7sBxlihQilZOh7tnM_mVA4dXCUIbMJhlcAWijEU/s640/Stairway+to+Attribution+Heaven.png" width="640" /></a></div>
<b><span style="font-family: "calibri";">Here to Get Started</span></b><br />
<span style="font-family: "calibri";">The first place to look is to your digital media vendors and </span><span style="font-family: "calibri";">digital media agency. The good news here is that the cost is low and the benefit potentially rich without having to do too much. </span><br />
<ol>
<li><span style="font-family: "calibri";"><b>Ad
Networks/DSPs/Publishers</b></span><ul>
<li><span style="font-family: "calibri";"><b><i>Upside:</i> </b>The simplest way to get
viewthrough measurement is to leverage the display advertising and site
tagging infrastructure of a media vendor, Demand Side Platform or ad network. Many of these tools have a nascent viewthrough capability but may or may not report it out explicitly. Tracking it will always require the advertiser to place tags on one or more pages on the destination site(s). Companies that have provided
information to the VMC are included in the Viewthrough Capabilities
Scorecard.<i> If your ad network or media property is not included get in touch.</i></span></li>
<li><span style="font-family: "calibri";"><b><i>Downside: </i></b>The technologies can only measure what they themselves have tracked
via ad delivery and through their tracking tags </span><span style="font-family: "calibri";"><span style="font-family: "calibri";">placed on the advertiser site</span>. If the display
strategy relies on just one company then this can work and still be comprehensive; it means that viewthrough is only happening across that one ad network/DSP/publisher, which is not realistic for larger enterprises. Most of these companies tend to skirt viewthrough discussion unless the client or agency brings it up. </span><span style="font-family: "calibri";"><span style="font-family: "calibri";">Ad viewability is not a big part of the discussion yet but promises to be. </span>Last, this approach usually relies on 3rd party cookies, the efficacy of which for measurement can degrade over long periods of time with some prone to deliberate blocking.</span></li>
</ul>
</li>
<li><b><span style="font-family: "calibri";">Third-Party
Ad Server</span></b><span style="font-family: "calibri";"><b> (3PAS)</b></span><br /><ul>
<li><span style="font-family: "calibri";"><b><i>Upside:</i> </b>The next best way is to leverage your digital media agency-of-record's ad server platform. There are a few major ones to choose from: DFA/DART, Atlas, Pointroll, MediaMind and Mediaplex are the most prevalent. There are behavioral data sharing issues that arise with Google(DFA/DART) and potentially Facebook (Atlas). </span><span style="font-family: "calibri";"><span style="font-family: "calibri";">In this scenario the ad server reporting system is used.</span> Like ad networks/DSPs/publisher ad sevrers, this requires one or more page </span><span style="font-family: "calibri";"><span style="font-family: "calibri";">tracking </span>tags to be placed on the advertiser's Web site. Ad servers that have provided
information to the VMC are included in the Viewthrough Capabilities
Scorecard.<i> If yours is not included get in touch. </i></span></li>
<li><span style="font-family: "calibri";"><b><i>Downside: </i></b>Like media
vendors, ad servers can only measure what they themselves have tracked
via ads delivered and advertiser site tracking tags, e.g. DFA Floodlights and Atlas Universal Tags. While this addresses the single media vendor problem (now all your media can be measured), its efficacy is then limited to tag proliferation and this usually means only high-value tasks and conversions get tracked. Most ad servers do not have a native ad viewability measurement capability yet, although DFA is close via the Google Ad Network. A significant issue for the raw 3PAS approach is that most viewthrough report ignores other digital channels Again, DFA has some ability to include Paid Search if DART Analytis is being used but still misses organix search, email, social, affiliates and other sources of traffic. Also, ad servers were just not built for page and user centric reporting like a site analytics tool is so de-duping is a big problem. Same issues with browser cookies.</span></li>
</ul>
<span style="font-family: "calibri";"> </span></li>
</ol>
<span style="font-family: "calibri";">In the next post, we'll ascend to the next step in the Viewthrough Staircase. We'll take a closer look at a more advanced approach that integrates data across agencies' third-party ad server and advertisers' site analytics platform for maximum convenience.</span>
<br />
<ol>
</ol>
dgthttp://www.blogger.com/profile/11323495089986050616noreply@blogger.com0tag:blogger.com,1999:blog-1032402757561532729.post-8533058659487301912013-02-25T13:02:00.000-06:002013-02-25T13:22:09.748-06:00Proposed Viewthrough DefinitionBelow is the proposed definition being considered by the Digital Analytics Association Standards Committee. Although officially, only DAA members feedback count - all feedback will be considered.
<p>
<iframe frameborder="0" height="260" src="https://docs.google.com/document/d/15RUc4mxraFIp8Q69ANC1sJymWgT1_iRh_BHlLwrluiw/pub?embedded=true" width="600"></iframe>
<p>
Please provide comments below.dthttp://www.blogger.com/profile/10125124198226872585noreply@blogger.com6tag:blogger.com,1999:blog-1032402757561532729.post-5117031212109772152013-02-20T08:22:00.003-06:002013-02-20T10:04:48.360-06:00DAA Viewthrough Definition Project Seeks Participants<div style="text-align: center;">
<span style="font-family: Arial,Helvetica,sans-serif;"><a href="http://www.digitalanalyticsassociation.org/" target="_blank"><img border="0" src="http://www.digitalanalyticsassociation.org/graphics/img-header.jpg" /></a> </span></div>
<br />
<span style="font-family: Arial,Helvetica,sans-serif;">Good news, the Viewthrough Measurement Consortium and the Digital Analytics Association are partnering. We're pleased to be working with the </span><span style="font-family: Arial,Helvetica,sans-serif;">DAA Standards Committee, who have taken up the viewthrough cause - below is their call for participants.</span><br />
<span style="font-family: Arial,Helvetica,sans-serif;"><br /></span>
<br />
<span style="font-family: Arial,Helvetica,sans-serif;"><b>The viewthrough standardization proposal
seeks to establish a foundational definition and inclusion in the DAA glossary.</b>
Although this metric is measured by many analytics, research, ad server and ad
network platforms, it is little known and understood in comparison to
clickthrough. The emerging <a href="http://www.measurementnow.net/" target="_blank">viewable ad impression</a> while related, is more about
ad position and delivery. <a href="http://en.wikipedia.org/wiki/View-through_rate" target="_blank">Viewthrough</a> is about latent ad response and is most
easily captured by advertiser-side site analytics like Omniture and
CoreMetrics. Even Facebook is offering up their <a href="http://www.insidefacebook.com/2013/01/22/facebook-conversion-tracking-goes-live-for-all-ad-accounts/" target="_blank">conversion tracking pixel</a> with hopes of
leveraging this measure as a means to understand the silent majority of people
that do not click on display ads but do respond. </span><br />
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<div class="separator" style="clear: both; text-align: center;">
<a href="http://www.staticmedia.com/wp-content/uploads/2012/11/facebook-conversion-tracking.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="200" src="http://www.staticmedia.com/wp-content/uploads/2012/11/facebook-conversion-tracking.jpg" width="178" /></a></div>
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<span style="font-family: Arial,Helvetica,sans-serif;">This project falls under <i>marketing
definitions, </i>a new area for the Standards Committee and one with substantial potential
as we broaden our standards role. The
standards definition project is in the proposal stage and is seeking additional
members to set scope and provide input.</span><br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="http://www.analiticaweb.es/wp-content/uploads/2012/04/ejemplo_informe.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="400" src="http://www.analiticaweb.es/wp-content/uploads/2012/04/ejemplo_informe.png" width="368" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-size: x-small;"><b><span style="font-family: Arial,Helvetica,sans-serif;">Sample Viewthrough Report</span></b></span></td></tr>
</tbody></table>
<br />
<span style="font-family: Arial,Helvetica,sans-serif;">If you’d like to participate in the
viewthrough project, please contact Domenico Tassone at dtassone (AT) viewthrough DOT org.</span><br />
<br />
<span style="font-family: Arial,Helvetica,sans-serif;">For more information about the <a href="http://www.digitalanalyticsassociation.org/?page=standards" target="_blank">DAA Standards Committee</a> or to contact the Co-Chairs, reach out to <a href="mailto:daa.standards@digitalanalyticsassociation.org">Anna Long and Darrin Wood</a> .</span>dthttp://www.blogger.com/profile/10125124198226872585noreply@blogger.com0tag:blogger.com,1999:blog-1032402757561532729.post-17215600256086775892013-02-11T19:27:00.000-06:002013-02-13T07:00:39.753-06:00Stop Stressing About Clickthrough...Think Viewthrough!<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;">This is not going to be another bit about declining clickthrough rates, but a quick analogy that should get the juices flowing about viewthrough measurement<span style="font-size: small;">.</span></span></span><br />
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><br /></span></span>
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<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><a href="http://www.emarketer.com/" target="_blank"><img border="0" height="400" src="http://omnipresentad.files.wordpress.com/2010/11/121854.jpg" width="392" /></a></span></span></div>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><br /></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><b>FACT: </b>For many digital advertisers, the average rate of clicks on their display ad campaigns is about the same as the probability of <span style="font-size: small;">being dealt</span> a <a href="http://en.wikipedia.org/wiki/Hand_rankings#Full_house" target="_blank">full-house</a> in standard 5-card poker. That works out to 0.14%...actually based on the above industry averages - <i>your odds in poker are much better.</i></span></span><br />
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><br /></span></span>
<br />
<div style="text-align: center;">
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><a href="http://en.wikipedia.org/wiki/Hand_rankings#Full_house" target="_blank"><img border="0" height="265" src="http://us.123rf.com/400wm/400/400/a41cats/a41cats1208/a41cats120800010/14801289-full-house-poker-game-with-chips.jpg" width="400" /></a></span></span></div>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;"><br /></span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;">Rel<span style="font-size: small;">ying</span> on clickthrough measurement today because it is easily available (and you have benchmarks) and not because it is meaningful or actionable exemplifies a digital marketing capability that is likely obsolete.<span style="font-size: small;"> </span>Sure you can juice your CTR with rich media, incented vi<span style="font-size: small;">deo</span> and even questionable calls-to-action on Facebook (<span style="font-size: small;">L</span>ike Beer<span style="font-size: small;">?)</span>, but immediate click response to display<span style="font-size: small;"> </span>ads is often problematic.</span></span>
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;">See ComScore's <a href="http://www.comscore.com/Insights/Presentations_and_Whitepapers/2009/The_Click_Remains_Irrelevant" target="_blank">Natural Born Clicker<span style="font-size: small;">s (originally from 2007, updated in 2009)</span></a> study for additional information.</span></span><br />
<br />
<span style="font-size: small;"><span style="font-family: Arial,Helvetica,sans-serif;">And <span style="font-size: small;">if you are really serious about getting away from clickthrough <span style="font-size: small;">obsession</span>, you can get one of these fr<span style="font-size: small;">om <a href="http://www.visualiq.com/">Visual IQ</a><span style="font-size: small;">!</span></span></span> </span></span><br />
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<a href="http://www.visualiq.com/"><img border="0" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEju5UrZQuvU2xZxpzzYpp1QfJu6RaYIUn7oy4dtUsNgmdONFh8Fzm6CUzMEL8C-OevDy5bNnFBexF6mtOFL-BE1FgR_KigATq7RsimjPreyubM0SRvjaWPz9z_olLE-OiR1jzKdoSgALj0/s640/T-shirt-mock.jpeg" width="379" /></a></div>
dgthttp://www.blogger.com/profile/11323495089986050616noreply@blogger.com0tag:blogger.com,1999:blog-1032402757561532729.post-19625163010850989212013-01-15T20:10:00.000-06:002013-01-15T20:10:05.800-06:00Viewthrough.org Now Using Piwik AnalyticsWe're pleased to announce that this blog and site is now using <a href="http://www.piwik.org/">Piwik</a> for Web analytics!<br />
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<a href="http://piwik.org/wp-content/themes/piwik/img/logo_mainpage.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="http://piwik.org/wp-content/themes/piwik/img/logo_mainpage.png" /></a></div>
<br />If you are unfamiliar with Piwik, check it out it is a free tag-based site analytics solution that is open source. That's right, your site behavior is yours alone...unless of course you are using a free blog site.dgthttp://www.blogger.com/profile/11323495089986050616noreply@blogger.com0tag:blogger.com,1999:blog-1032402757561532729.post-5102219814394845052012-11-08T08:00:00.000-06:002012-11-15T18:13:19.641-06:00Calling All Analytics Vendors and Ad NetworksThere has been an incredible amount of interest and enthusiasm the Viewthrough.org effort from across the ad technology stack, evolving into<i> </i>a real grass-roots <i>Viewthrough Measurement Consortium</i>. Many thanks to all those who have taken the time to share their considerable insights, ideas and candid feedback.<br />
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<div class="separator" style="clear: both; text-align: center;">
<a href="http://2.bp.blogspot.com/_-1K8To6cNmY/TCt4Ojr69gI/AAAAAAABdeo/E6_lULErqZA/s1600/landscape.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="291" src="http://2.bp.blogspot.com/_-1K8To6cNmY/TCt4Ojr69gI/AAAAAAABdeo/E6_lULErqZA/s400/landscape.png" width="400" /></a></div>
<br />
<b><br /></b>
<b>LEARNINGS SO FAR</b><br />
Below are some key learnings gathered from throughout this process:<br />
<ul>
<li>Nobody is happy about clickthrough measurement and its inherent biases</li>
<li>With the DAA and IAB doing their own thing and the emergence of ad viewability as the latest <i>bright shiny object</i>, viewthrough measurement continues to be looked over</li>
<li>Most everyone wants better viewthrough measurement but are unsure how to push this forward<i> on their own</i></li>
<li>Many digital advertising companies across the ad tech stack are <i>already</i> measuring viewthrough but don't necessarily label it viewthrough or they are not breaking it out in their reports today<b>. </b> </li>
<ul>
<li>Reasons include that it is confusing to clients/agencies that are still
focused on last-click attribution; also, that there is that lack of
standard definitions, i.e. mention viewthrough and get ready to teach.</li>
</ul>
</ul>
<b><br /></b>
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<div class="separator" style="clear: both; text-align: center;">
<a href="http://community.bingads.microsoft.com/cfs-file.ashx/__key/CommunityServer.Blogs.Components.WeblogFiles/advertising_5F00_drafts.metablogapi/3201.funnel_5F00_46F15435.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="320" src="http://community.bingads.microsoft.com/cfs-file.ashx/__key/CommunityServer.Blogs.Components.WeblogFiles/advertising_5F00_drafts.metablogapi/3201.funnel_5F00_46F15435.jpg" width="276" /></a></div>
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It is apparent that analytics and advertising vendors are seeking a meaningful way to report passive display media response. It should be a concern to everyone that many ad networks do not get credit for viewthrough performance today, itself a by-product of slimy performance networks and cookie-stuffing. While the bigger Viewthrough.org strategy evolves (advocacy, research, standards, best practices), there is a definitely tangible step that is low-cost and be taken today.<br />
<br />
<b>NEXT STEP:</b><b> VIEWTHROUGH SCORECARD </b><br />
Vendors that are already reporting on passive post-exposure response to display media (beyond clickthroughs) ought to consider letting the industry know.Whether it is raw viewthrough visits, a viewthrough rate or viewthrough conversions, now is the time and this is the place.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEihRhsXvPCIJdeqaQBE46RIyRKLJw9GZNdOqW_9CyWyHUvCzObz66PYPGTXr8mHghZfESu3Oc4ja9kA-Wkgk_2W9Y71Q61kl9DBNaklmTZVdwddUlM4kZutoqIQ19gcaiAKLhsgiKdfGRb-/s1600/sox-scorecard.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="250" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEihRhsXvPCIJdeqaQBE46RIyRKLJw9GZNdOqW_9CyWyHUvCzObz66PYPGTXr8mHghZfESu3Oc4ja9kA-Wkgk_2W9Y71Q61kl9DBNaklmTZVdwddUlM4kZutoqIQ19gcaiAKLhsgiKdfGRb-/s320/sox-scorecard.png" width="400" /></a></div>
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Below is the current list of vendors known to the Viewthrough Measurement Consortium that provide analytics/reports that specifically containing viewthrough performance:<br />
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<iframe frameborder="0" height="260" src="https://docs.google.com/spreadsheet/pub?key=0Attb0DM8KeBidFBpNFBvU0VRMk9ncmFua2hNekV1SXc&output=html&widget=true" width="580"></iframe> <br />
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<b>POST COMMENTS OR SEND FEEDBACK FOR UPDATES.</b><br />
<br />dgthttp://www.blogger.com/profile/11323495089986050616noreply@blogger.com1tag:blogger.com,1999:blog-1032402757561532729.post-48441873566611935822012-09-05T13:08:00.003-05:002012-12-01T22:08:02.471-06:00Proposed Definition of an Ad Viewthrough<span style="font-family: Arial,Helvetica,sans-serif; font-size: small;"><b>Viewthrough (view-through)</b> is a measure of the passive but self-directed response from paid media (banner, rich media, video or audio). For starters:</span><br />
<div style="color: #222222; line-height: 18px;">
<ul>
<li><span style="font-family: Arial,Helvetica,sans-serif; font-size: small;"><b>Scope</b></span></li>
<ul>
<li><span style="font-family: Arial,Helvetica,sans-serif; font-size: small;">Post-impression viewthrough follows from one or more ad exposures where there was no click event</span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif; font-size: small;">Although the focus here is on display media, viewthrough or passive
response could come from email, affiliate advertising, online PR and
"dark<span style="font-size: small;">" </span>social media</span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif; font-size: small;">Apart from Google's self-serving studies, no independent research validates the notion of a paid search viewthrough</span></li>
</ul>
<li><span style="font-family: Arial,Helvetica,sans-serif; font-size: small;"><b>Relation to Clickthrough</b></span></li>
<ul>
<li><span style="font-family: Arial,Helvetica,sans-serif; font-size: small;">Distinguished from post-click visitation or conversion</span></li>
</ul>
<li><span style="font-family: Arial,Helvetica,sans-serif; font-size: small;"><b>Measurement </b></span></li>
<ul>
<li><span style="font-family: Arial,Helvetica,sans-serif; font-size: small;">Can be a success metric like a conversion, high-value task or a site visit </span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif; font-size: small;">Can be measured by a brand on its' own Web properties through site analytics </span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif; font-size: small;">Can be measured more broadly (competitor/peer site visitation, search, etc...) through panel-based research</span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif; font-size: small;">May be subject to attribution rules, such as first touch, last touch, equal touch or staistically derived techniques </span></li>
</ul>
<li><span style="font-family: Arial,Helvetica,sans-serif; font-size: small;"><b>Time</b></span><ul>
<li><span style="font-family: Arial,Helvetica,sans-serif; font-size: small;">Is subject to a lookback and lookahead window that is configured by the ad server</span></li>
</ul>
</li>
<ul>
<li><span style="font-family: Arial,Helvetica,sans-serif; font-size: small;">Viewthrough impact decays over time from the initial ad exposure</span></li>
</ul>
<li><span style="font-family: Arial,Helvetica,sans-serif; font-size: small;"><b>Calculation</b></span></li>
<ul>
<li><span style="font-family: Arial,Helvetica,sans-serif; font-size: small;">The VTR (viewthrough rate) is calculated as # of viewthrough / # of impressions (viewed impressions preferably)</span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif; font-size: small;">Impressions should be based on "viewed" or "viewable" for most accurate measurement</span></li>
<li><span style="font-family: Arial,Helvetica,sans-serif; font-size: small;">In-flight viewthrough are observed during a live ad campaign, while
the post-flight viewthrough "vapor-trail" can be observed when the
campaign ends or is paused</span></li>
</ul>
</ul>
</div>
<div style="color: #222222; line-height: 18px;">
<span style="font-family: Arial,Helvetica,sans-serif; font-size: small;">If you have feedback, please reach out or comment below!</span></div>
dgthttp://www.blogger.com/profile/11323495089986050616noreply@blogger.com1tag:blogger.com,1999:blog-1032402757561532729.post-44578371861054727262012-08-10T06:35:00.000-05:002012-10-24T06:36:52.055-05:00Calls for Viewthrough, Proper Display Attribution GrowingAs the digital media and marketing business continues to evolve the
interest in passive response from digital display (banners, video and
non-search mobile) is growing. Although the banner is almost 20 years
old now (born c. 1995) the legacy obsession with click-based response
measurement and simplistic attribution is only now beginning to collapse
thanks to new tools and better methodologies.<br />
<br />
<img height="265" src="http://www.theepochtimes.com/n2/images/stories/large/2010/06/07/ZhejiangSinkHole-1.jpg" width="400" /><br />
<b>Bravo...it's about time.</b><br />
<br />
Dax Herman who heads-up search-targeted display ad network <a href="http://www.chango.com/" target="_blank">Chango</a> recently put together an elaborate white paper, <a href="http://www.chango.com/view-through-attribution-exposed-what-last-touch-isnt-telling-you-2/">Viewthrough Attribution Exposed: What last Touch Isn't Telling You</a>.
I had the opportunity to work with Chango in an ecommerce setting over
the past year and found their interest in and approach to meaningful
analytics for their near (but not quite) bottom of the funnel ad media
refreshing and collaborative.<br />
<br />
Recently, Dax asked for
my POV on viewthrough measurement which you'll find a snippet of in the
white paper; this also led to a recent post, here at the Tip of the
Spear Blog: <a href="http://www.tipofthespearblog.com/2012/07/viewthrough-incrementality-testing.html" target="_blank">Viewthrough Incrementality Testing</a>.
More broadly, we're planning to collaborate with other digital
advertising leaders to further viewthrough measurement...it won't be
easy but it needs to happen.<br />
<br />
<b><i>Viewthrough.org Coalition</i></b><br />
If
you or your company has an interest in viewthrough measurement and
attribution please get in touch to learn more about collaborating on
the <a href="http://viewthrough.org/">Viewthrough.org</a> effort; as
part of this effort we're looking to work with leading measurement
technologies, digital marketers and especially the DAA/IAB to
standardize the definition of viewthrough.dgthttp://www.blogger.com/profile/11323495089986050616noreply@blogger.com0tag:blogger.com,1999:blog-1032402757561532729.post-30034981032627248352012-07-03T06:54:00.000-05:002012-10-24T06:54:49.320-05:00Viewthrough & Incrementality TestingA common question in digital marketing measurement is "what was the
lift?" or "what is the incremental benefit?" from a particular
promotional campaign. Most of us would agree that the alternative of
relying on display ad clicks alone for display response measurement is
just wrong. When measuring display media, incrementality testing is
absolutely essential to properly gauge the baseline viewthrough effect.<br />
<br />
<br />
<br />
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<div class="separator" style="clear: both; text-align: center;">
<img alt="How to Calculate Incremental Cost Borrowing thumbnail" class="photo" height="212" longdesc="http://i.ehow.com/images/a08/99/ci/calculate-incremental-cost-borrowing-800x800.jpg" src="http://img.ehowcdn.com/article-new/ehow/images/a08/99/ci/calculate-incremental-cost-borrowing-800x800.jpg" style="left: -50px; position: relative; top: -33.5px;" title="" width="320" /></div>
<br />
In
order to answer this question, a test and control methodology (or
control and exposed) should be used, i.e. basic experimental design
where a control group is held out that otherwise are identical to the
group that is being tested with the marketing message. This is even more
important when marketing "up the funnel" where a last click or even
last touch measurement from a site analytics platfom will mask impact.<br />
<br />
Email
marketers have been doing this with their heritage in direct marketing
technqiues. It is often pretty straight forward as the marketer knows
the entire audience or segment population and holds back a statistically
meaningful group; this will enable them to make a general assertion
about what the campaign's actual lift or incremental benefit is. Control
and exposed can also be done with display media if the campaign is
configured properly to split audiences, elimnate overlap and show the
control group a placebo ad. Often PSAs (public service ads) are used,
which can be found via the <a href="http://www.adcouncil.org/" target="_blank">AdCouncil</a>.<br />
<br />
This
technique is routinely used for qualitative research, i.e. brand lift
study services like Vizu, InsightExpress, Dynamic Logic and Dimestore.
It is the best way to isolate the impact of the advertising; read more
about the challenges of this kind of audience research in <a href="http://www.iab.net/insights_research/industry_data_and_landscape/interceptstudies" target="_blank">Prof. Paul Lavrakas study for the IAB</a>.<br />
<br />
<br />
<b>Calculating Lift and Incrementality</b><br />
<br />
Dax
Hamman from Chango and Chris Brinkworth from TagMan were recently
kicking around some numbers to illustrate how viewthrough can be
measured; some of that TOTSB covered a while back in <a href="http://www.tipofthespearblog.com/2010/11/new-for-2011-toward-standardized.html" target="_blank">Standardizing the Definition of Viewthrough</a>. <i>
For the purposes of this example, clickthrough-derived revenue will
be analyzed separately and fractional attribution will not be addressed.
In this example, both control and exposed groups are the same size
though this can be expensive and is usually unnecessary using
statistical sampling.</i><br />
<br />
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" style="cursor: move;" width="320" /></a></div>
<ul>
<li>Lift is the percentage improvement = (Exposed - Control)/Control</li>
<li>Incrementality is the beneficial impact = (Exposed - Control)/Exposed</li>
</ul>
<br />
<div style="text-align: left;">
In addition to
understanding the lift in rates like viewthrough visit
rate, conversion rate and yield per impression by articulating
incrementality rate the baseline percentage is revealed - it is just the
reciprocal of incrementality (100% = incrementality % + baseline %).
Incrementality or incremental benefit, can be used to calibrate other
similar campaigns viewthrough response - "similar" being the operative
word.<br />
<br /></div>
<div style="text-align: center;">
<img alt="" height="245" 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" width="400" /> </div>
<br />
<br />
<b>Executing an Incrementality Test</b><br />
<br />
PSA
studies are simple in concept but often hard to run. Some out there
advocate a virtual control, which is better than no control but not
recommended. This method does provide a homegenous group from an offline
standpoint
so if all things being equal TV and circular are running then it is safe
to assume both test and control should be exposed to the rest of the
media mix equally. ComScore even came up with a clever zero-control
predicted metholdology for their SmartControl service.<br />
<br />
Most
digital media agencies have experience designing tests and setting up
ad servers with the exact same audience targeting criteria across test
and control. Better ad networks out there encourage incrementality
testing and will embrace the opportunity to understand their impact
beyond click tracking.<br />
<br />
Was this helpful? If so, let me know and I'll share more.<br />
<br />dgthttp://www.blogger.com/profile/11323495089986050616noreply@blogger.com0