BrightRoll Partners With Search Retargeting Firm Magnetic

Video ad network BrightRoll has struck a deal with search data provider Magnetic to offer search retargeting as an option for targeting video ads. Search retargeting allows advertisers to run display ads based on a user’s search history. So if someone has been researching a car purchase, they might see a banner ad from an auto advertiser.  With the BrightRoll deal, Magnetic is now applying this approach to video ads as well. “By combining Magnetic’s targeting technology with our video advertising platform, we’re able to solve the needs of our advertisers by delivering targeted campaigns at scale with a high return on investment,” said BrightRoll CEO Tod Sacerdoti in a statement. The ad network already offers targeting according to demographic, behavioral, geographic and other criteria.  Magnetic has already struck partnerships earlier this year with display ad networks including interCLICK and Undertone Networks aimed at refining display ad targeting based on the 270 million anonymous profiles the company has created based on search data gleaned from mostly second-tier search engines, Web site toolbars, e-commerce sites and other sources.  The idea is to combine the high conversion rates of search advertising with the traditional brand-building role of display. “You have all the different creative options in display that you don’t have in search,” said Magnetic CEO Josh Shatkin-Margolis. “And for premium publishers the best form of online display ads are video ads.”

Read More: MediaPost

The Future of Free Media

Monday’s Wall Street Journal article on cookie tracking was a bit underwhelming. So although (a) we’ve been having the same conversation over and over again since 1996 without getting anywhere*, (b) the article was a bit misleading and maddeningly vague, and (c) industry rumor has it that the church/state divide at the Journal does not quite live up to the J-school ideal, I am siding with Jeff Jarvis in believing that News Corp is not well enough organized to stage a conspiracy: the article was just poorly done.  These arguments are nominally about privacy. And providing privacy is a worthy but complicated** goal. But given the general level of philosophical confusion about privacy, I believe much of the commentary (and the comments to the commentary) is motivated by a hostility to advertising in general.  If you hate advertising, you hate advertising. Arguing that not paying for music means a diminished supply of quality music does not sway the downloader. Not paying for media–in whatever sense of pay–means a diminished supply of quality media. This argument does not sway the hater of advertising, but I’m not trying to convince them. Advertising provides something important: free (as in beer) media. This may not mean much to Rupert Murdoch–who can afford to pay cash for his media–but it means something to society. And it should mean something to those of us who are trying to find a way to make quality ad-supported online media a viable proposition.  Paying cash for media is regressive. High cover prices exclude those with less disposable income. (This strategy is used purposefully by mixed-model high-end media outlets to produce a demographic appealling to better-paying advertisers.) Advertising democratizes media***. And media allows a democracy.

Read More: ReactionWheel.Blogspot.com

The Google-Verizon Net Neutrality Pact

Google CEO Eric Schmidt and Verizon CEO Ivan Seidenberg hosted a conference call Monday to discuss an open Internet just days after the Federal Communications Commission abandoned efforts to reach a compromise. The proposal aims to derail unlawful discriminatory practices and gives regulators the authority to stop offenders.  While the two companies published the terms of the Google-Verizon “A Joint Policy for an Open Internet” agreement in a blog post, the plan does not treat wireless and wireline network access equally.  Both Schmidt and Seidenberg emphasized that there is no formal agreement based on the proposal. It simply represents suggestions to “the public policy arena to see how we can move our industry forward,” says Seidenberg, emphasizing that the agreement stands for innovation.

Read More: MediaPost

IAB Ad Network Guidelines: Providing Greater Brand Safety

We have all witnessed the ad network space and the overall non-reserved inventory landscape become increasingly complex. During the past 18 months, changes to our industry have come from the continued proliferation of ad networks, growth in data usage, the emergence of exchange models, as well as increased technology offerings including demand-side and supply-side solutions.  While these innovations are designed to benefit the end client, it has led to confusion – particularly during a time when advertisers and agencies are seeking transparency, brand safety, quality, and control.  As a result, clients have had growing concerns when it comes to buying inventory through networks and exchanges. They often wonder: “How will my brand be protected? Where will my campaign really run? How do I make sense of the various targeting capabilities and data sources?”  In light of these concerns, the IAB has released the “Networks & Exchanges Quality Assurance Guidelines.” The guidelines are intended to provide increased simplicity, transparency, and control for the buying community (i.e., marketers, agencies, and publishers). Based on feedback from members of this community, I’m confident that the implementation of these guidelines will result in providing confidence and clarity that buyers seek and an overall stronger marketplace for all parties alike.

Read More: ClickZ

interCLICK Prez Katz On Strong Q2 Results

Online advertising network InterCLICK announced its second quarter 2010 earnings on Wednesday. According to the release, “Revenue was $21.7 million in Q2 2010, a 103% year-over-year increase. (…) Gross profit was $9.6 million in Q2 2010, up 102% year-over-year.” Read more.

AdExchanger.com: Looking at InterCLICK’s 100% year-over-year Q2 growth and projected 2010 revenues of $90 million + , are there any observations you can share about how clients are spending?

MK: Delivering the most effective audience-centric campaigns is dependent on our ability to properly value targeting data and solving the operational challenges associated with running data enabled campaigns. We won a record amount of new business this past quarter and client retention reached a new high watermark. This is a hyper competitive space and I believe that our investment in our technology and our team has paid off tremendously, as evident in our results.

What about data? Has using data exchanges and other third-party providers been a key part of your offering? How do you see this playing out for InterCLICK?

The challenges in display advertising require effective supply chain management. The goal is to find the optimal alignment among data, inventory, and creative. Quality inventory has been accessible for quite some time, and through data exchanges like BlueKai, rich targeting data has been made quite accessible. So data exchanges allow for easy access and implementation. The real challenge is in the execution, which is what we have invested significant capital and resources in addressing.

Read More: AdExchanger.com

Inside the Numbers: How Demand Media Will Pitch a Billion Dollar IPO

Demand Media is a money-losing company. How will it convince Wall Street to value it at a billion dollars or more?   By directing investors’ attention to a set of numbers which say it’s a very profitable company.  The official term for these numbers are “non-GAAP financial measures”. In English, that translates into “accounting you can’t try at home, but which shows off our company in the best possible light.”  And it does! Depending on which set of numbers you want to look at, Demand lost either $4.3 million or $22.3 million on revenues of $114 million in the first half of this year. But Demand’s “Adjusted OIBDA” numbers show a company that made $25.6 million on revenue of $108 million. Much better!  Some investors may balk at these non-GAAP numbers, but Demand, Goldman Sachs (GS) and its other underwriters clearly think there’s a market for them. And there’s certainly a hunger in the tech world for a big, brand name IPO to break the dry spell. You can feel people willing this thing to work.  If Demand did, say, $55 million in OIBDA this year, it would need a multiple of 18 times trailing 12 months earnings to get to a $1 billion valuation. It would need 27x to get the $1.5 billion number that people are whispering to reporters.  Another way to get to $1.5 billion: Project OIBDA of $100 million for 2011, and ask for 15 x on that number. Reminder: $1.5 billion would make Demand worth more than the New York Times (NYT).

Read More: AllThingsD.com

Adapt.ly to Manage Ads Across Multiple Social Networks

As advertisers begin to run ads across an increasing number of social networks and sites, startup firm Adapt.ly has developed technology to help manage those campaigns from a single platform, and to help digest and evaluate the resulting performance data more easily.  As Adapt.ly co-founder Nikhil Sethi points out, most social networks offer self-service ad platforms, which exist in complete isolation of their competitors’. As a result, advertisers are forced to manually construct individual campaigns on each, despite the fact they’re attempting to reach essentially the same audience. “Managing all these campaigns by hand is a pain in the ass, and analyzing the data from all the different platforms becomes a nightmare,” Sethi said.  It’s that heavy lifting that Adapt.ly is attempting to relieve, providing a service that will handle campaign creation, targeting, and optimization automatically, and from a single point of entry. “We’ve built a system that allows us to take creative and to normalize it across a range of networks. We ask advertisers two simple questions: What are you advertising, and who are you trying to reach? The system will then optimize targeting across the networks,” said Sethi, adding that users are given the option to specify creative for individual platforms if they wish, or to simply let Adapt.ly take care of it.

Read More: ClickZ

Are Marketers Really Spying On You Online?

The ongoing “What They Know” series in The Wall Street Journal is drawing needed attention to some of the ways web analysts and marketers gather and track information about people online. As part of the series, they visualized the types of cookies and tracking files used by 50 top websites, including their own. However, the WSJ failed to fully explain what type of information is being collected about visitors and what marketers do with the data. Rather, they left the public to wonder if online marketers are actually spies.   I don’t deny that I use cookies and tracking pixels to gather a variety of details about you if you visit my site. However, most of the data I have is anonymous and the details exist across multiple systems, not aggregated in one tidy personal profile. Rarely do I feel like I have pieced together enough details to be considered a spy. But with all that data, what do I really know about you?

Read More: AdAge

The Magic of Machine Learning in Real Time

Part of the magic of real-time bidding is found within machine learning. This involves using sophisticated algorithms to “learn” complex patterns based on large amounts of data in order to make optimal advertising decisions. The importance of machine learning is cost avoidance and value creation. Cost avoidance is simple to understand: data-driven optimization strategies help reduce waste by identifying the most relevant impressions while selecting the best ads (better creative message, better offer, etc.), which in turn improves performance and ROI (define). Value creation, on the other hand, happens when buyers and sellers of commoditized offerings are more efficiently brought together for a transaction.  To create machine learning magic, two ingredients are required: scale and prediction. Scale speaks to the need to make more users/impressions available through the auction marketplaces, and increase the number of advertisers bidding on these users. The bigger the scale, the more sophisticated the data-driven prediction can be. The second ingredient refers to the idea that prediction needs to be “accurate enough.” Amazon and Netflix have demonstrated that when you provide an accurate prediction of what consumers want, the business grows in two ways:

1. Better inventory control and more purchases/utilization.
2. Better targeting becomes a custom delight feature when it’s perceived to be quite accurate by average consumers.

The ability to deliver relevant choices in real time based on what consumers reveal about themselves creates a virtuous cycle: 

Ads/recommendations become more accurate → consumers are willing to share additional information about themselves → the machine learning algorithm for ads/recommendations becomes even smarter

In digital advertising, the machine learning prediction ultimately boils down to two parts: identifying your target audience and reaching them efficiently. The first part requires machine learning at the user level to learn the most optimal audience segments to target; the second requires machine learning to drive real-time bidding strategy with precision. For instance, demand side platform technology allows advertisers to have global control over how many times each user sees the ads (i.e., frequency capping) and how they see them. This begs the obvious question, “what is the optimal number of ad repetitions?” The answer might be an average of five times over a period of seven days. Problem solved? Not quite.

Read More: ClickZ

BrightRoll Launches Video Ad Exchange

Earlier this year, video ad company Adap.tv launched a video ad exchange in partnership with Gannett Co. and Publicis Groupe’s VivaKi digital unit. Now, its OneSource platform will have some competition from a rival video ad marketplace started by video ad network BrightRoll.  As with the online exchanges that have emerged in recent years for display and other types of advertising, the goal is to bring increased efficiency to the video sector by giving publishers a way to unload unsold inventory and media buyers an automated system for reaching particular audiences across a wide range of sites.  “What we’re essentially releasing is a video advertising business in a box for buyers of online advertising,” said BrightRoll CEO Tod Sacerdoti, who added that the new exchange dubbed BRX is an outgrowth of the company’s efforts to further automate its own ad network over the last 18 months. BrightRoll is the third-largest U.S. video ad network based on streaming video ads viewed — at 333,492 in June, according to comScore.  “We realized everything we were building was applicable to other media buyers and sellers,” said Sacerdoti. A BrightRoll study earlier this year found that half of publishers surveyed reported that at least 20% of their online video advertising inventory is never sold, suggesting the potential for an automated, auction-based marketplace for pre-roll ads.

Read More: MediaPost

Forbes Sells Investopedia To ValueClick For $42 Million

After less than two months on the block, Forbes Media has sold financial education site Investopedia to lead gen provider ValueClick (NSDQ: VCLK) for $42 million. In June, Forbes retained the Jordan, Edmiston Group, Inc. three years after it bought the Canadian-based site.  The announcement comes a few weeks after Forbes purchased freelance journalism site True/Slant, which was shut down last week and will remain live as an archive site only.  Forbes had been an investor in True/Slant and before the purchase, it had hired site’s founder, Lewis DVorkin, as consultant to help restructure its digital offerings. The quick sale of Investopedia is a the first step in the struggling publisher’s latest digital reinvention. Despite the fact that Forbes was eager to sell the Edmonton, Alberta-based Investopedia, the company claimed that the site’s profits and users have grown in the past three years since it was acquired.  In a release, ValueClick CEO Jim Zarley said that Investopedia gives the company “great content, organic traffic and established advertiser relationships in the important financial services advertising vertical.” He also believes that the addition of Investopedia will be able to help build up its ValueClick Brands and ValueClick Media offerings.

Read More: PaidContent.org