Targeting is rapidly overtaking inventory quality among ad networks as the one aspect that their value hinges on and the one that truly differentiates them. So much so that targeting has become the new “killer app” of ad networks. According to the E-consultancy 2007 Online Ad Network Buyers Guide, targeting was only 1 percentage point behind inventory quality as the single most important differentiator. That was 2007. Since then inventory quality has normalized with every network offering all the same top quality branded sites. Think comScore 200 and you’ll have the right picture. But the ground war around targeting has raged on. Now the single most important factor left that has not been commoditized and can still differentiate the countless ad networks is their targeting. Inventory quality is still an important factor when evaluating ad networks but it has become more like a commodity. Just a check box to be filled. Great inventory? Got it. Everyone has great sites now, or has potential access to great sites which is becoming the same thing, and can whip up a spectacular site list with all the right logos in all the right places. You’ll see that comScore now calls this “potential reach” and everyone’s got potential reach. But targeting? Good, precise, accurate, performance-driving targeting takes technology which is actually hard to come by among the ad networks. Most ad networks are made up of people and relationships and that’s how they scale. Add more great sites and add more great sales people and the revenue model scales accordingly. So what’s the best targeting solution out there? What kinds of targeting will provide the most performance boost for your campaigns? That of course hinges on what your key performance indicators are going to be. Is it clicks, acquisitions, brand awareness or a combination or something else entirely? In many ways contextual targeting has a leg up on the other forms and here’s why. The behavioral crowd almost always has a contextual component driving their segmentation so contextual tends to be one of the most mature technologies out there. Semantic relevance engines have been around since the early days of Knowledge Management and go back way before the first AT&T banner was sold by Doug Weaver on Wired.com in ‘94. And contextual side steps the ugly privacy issues as it derives its relevance from the page content as the ad is being served and does not need to ask probing questions or save little bits of sensitive data behind the scenes. But most importantly, contextual targeting has frequently shown to offer both more click lift and more brand recall than any other targeting solution. A recent Marketing Sherpa study found that contextual targeting was preferred over behavioral by advertisers for the higher return on ad spend it provided. But the best approaches are the new hybrid solutions that combine the strength of both contextual for relevance and behavioral for audience segmentation. So when you are out there shopping for an ad network and everyone is pitching great sites and real transparency at the best price, stop and ask about targeting. Don’t be afraid to ask about technology either. Most likely you will find little behind that curtain besides some basic self declared channels, a little re-targeting after the fact, and a high level report for reconciliation at the end of the month. Take the time to ask for proof and see where that leads you. Can they offer proof as to why they targeted a certain impression with a specific ad? If not then there is probably little technology back there.  And if every answer seems to come back around to great sites, then I’d keep shopping.

I just got back from the MediaPost OMMA Publish New York event and must report on one very significant outcome.  There was an outstanding panel discussion called Publishers and Ad Networks: Can This Marriage Be Saved which I was fortunate enough to attend.  The talk was on the value and life expectancy of the ad network model moderated by the very direct but never dull Wenda Harris Millard, President of Martha Stewart Living Omnimedia and author of the now infamous “pork bellies” quote.  On the panel was the similarly outspoken and sometimes abrasive Jim Spanfeller, President and CEO of Forbes.com most recently in the spotlight for his preemptive eulogy for ad networks.  Forget the dripping irony that Wenda sits on the board of an ad network and Jim recently launched his own ad network, these two are regularly in the news with pessimistic views of the ad network’s value to interactive advertising and big brands going online today.  The round table discussion also included Jarvis Coffin, Co-founder and CEO of Burst Media who was incredibly refreshing and sensible, and Matthew Boyd, SVP at ValueClick Media, who together defended the ad network point of view exceedingly well.   It quickly became apparent that ad networks have a solid and necessary place in the value chain within display advertising as Jarvis and Matt, along with Ed Montes, EVP at Havas Digital, talked through the evolution of the ad network and the necessary reach, optimization and aggregation role they fill today.  We saw that the original “horizontal” network model has undergone a Darwinian evolution using things like vertical-ization, contextual technology and behavioral targeting to reach point where they are not just “sopping up” the remnant inventory, but rather adding new and unforeseen value to the big brands that need to be online with their messaging.  I could not resist the Q&A period at the end to put the question to Wenda as directly as possible in hopes of some final punctuation to the argument that has raged in the industry for weeks.  But she took the question with great aplomb and very candidly responded that—based on what was said on the panel—ad networks are more “pearls than pork bellies” to brand value and display advertising.  So I think we can now finally put this issue to bed and get on with driving the industry forward.  Thanks have to go to MediaPost and OMMA for the great venue and the “chutzpa” to host the topic and get the names up on stage.  It was a very satisfying event.

It’s no surprise that the context in which an ad runs has a significant impact on its effectiveness. And that’s especially true for brand advertisers who are going online with their campaigns. I’ve looked at this phenomenon from plenty of different angles around here with posts like Advertisers Say Contextual Offers Best ROI and Contextual Targeting Yields Highest Return for Brand Advertisers. And now to finally put the question to bed, a new study by OTX Research has been written up by Jonathan Lemonnier in AdAge that seems to prove the point conclusively. They found brand recognition could be increased 19% just by running ads in context. By in context, or contextual targeting, they mean running ads on non-endemic content that happens to be relevant to the products or services being advertised. That is not the same as site targeting which is running ads on sites that are inherently relevant due to the overall genre they serve. This is significant to note because it opens doors for advertisers to dramatically increase their reach. No longer must advertisers find vertical endemic sites specific to their industry, they can now reach out to a much larger general audience to find specific content pages talking about related topics and actually drive greater brand recognition. This can even mean dipping back into the remnant pool for high performing inventory if you have the means of categorizing pages to determine true meaning. And that is sort of the rub here; it is not easy to discern meaning from the chaotic web and especially the unmanageable long tail. And when you step outside the well-lit confines of the premium world you immediately face the challenge of brand safety. How do you guarantee your brand will run alongside appropriate content when you are out there in the wild-wild-west of the web’s seedy underside? Real meaning and real brand safety take granularity. I am always surprised when I look at the contextual targeting solutions on the market today and realize how shallowly they categorize. Everyone seems to offer 20 or 30 top level channels and that makes good sense on the surface. That accurately reflects how advertisers generally see the world. But a high level channel only puts you in the ball park and does not significantly drive up targeting-based effectiveness. Knowing that a page is about Automotive is a good start but that will not significantly impact clicks considering this level of broad channel-ization has already become a commodity within our industry. It is when you can discern manufactures of cars from types of minivans that you really begin to be relevant to the end user. And when you can determine a page is not only Automotive in nature, and not only related to subcompacts, but also that it is about Toyotas, Hybrids and Fuel Efficient Alternatives, and Hydrogen technologies, then you have deep targeting that has a significant impact on relevance and performance. But sadly there are very few systems that can go beyond a rudimentary understanding to determining the page was really about hydrogen fuel cells on environmentally friendly vehicles. Without this level of granularity you are stuck running an Automotive ad or if you are lucky maybe a subcompact ad and settling for average click rates. The real performance comes in when you know the true meaning is environmental in nature and you can target eco-friendly ads that will have a significantly higher recall rate. I’ve seen semantic engines with only a few hundred total categories across only two superficial levels into which they must classify all the eligible content from the more than 20 billion web pages out there. To really understand meaning in the sea of available ad space you need a solution that is far more granular. You need at least thousands, if not tens of thousands of categories if you really want to certify that a page is brand safe with the goal of maximizing effectiveness and subsequently increasing ad revenues, ROI and page yield. This is why LucidMedia has more than 13,000 fine-grained subcategories behind our contextual engine. It allows us to determine the true meaning of a page before an ad is served and makes sure the most relevant ad can be shown to the user. In some of our earliest tests this deep categorization yielded a 76% jump in clicks in the average direct response campaign versus the typical run-of-network buy. When you want relevance on the web for advertising you need depth and breadth. Having just breadth only gets you half way there.

Dave Morgan, TACODA’s founder and Executive Vice President of Global Advertising Strategy for AOL, just hit the nail on the head with his blog commentary on the stigma surrounding ad networks. He points out that the ad network brought a pork bellies commodity attitude to online advertising in the lean, post-bubble days when any revenue was good revenue. He goes on to point out that this is changing and bravely outlines a few solid reasons why. What drove this home for me was his conclusion that networks are going to have to continue to deliver solid value, with high-quality ads and rates, to begin to offer something that publishers will never be able to deliver on their own because of their focus on the content. He highlights the need for networks to deliver effectiveness over efficiency. Bravo. This is really the crux of the situation and a very real opportunity for ad networks to step up to the plate. And this is exactly where LucidMedia is strongest, in bringing increased effectiveness—and the proof report down to the impression-level to prove it—instead of just new efficiencies through scale, technology and focus. We saw this void back in 2004 when we launched ClickSense, our robust contextual engine, and have recently applied it to lifting the effectiveness of our customer’s campaigns in the LucidMedia Network. This new effectiveness is inherent in our deep categorization which puts publisher’s content into our 13,000+ industry categories to allow for far more granular targeting than has ever been available in the past. When publishers can sell their inventory with 6 levels of categorization to pinpoint the meaning of their content there is a very real lift in conversions. This assumes all the underpinnings are in place like engaging creatives and streamlined landing pages but when it all comes together there is a tangible return. Hopefully other ad networks will do the same and bring real increases in effectiveness to the table in the future and begin to erase the negative connotations around the ad networks.