New Hampshire Republican Senate hopeful Jim Bender apologized to a voter for targeting her online in his election campaign using controversial technologies from Internet data firm RapLeaf Inc.
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BlueKai and Efficient Frontier announced a pilot program that targets ads based on keywords that are inferred from consumer behavior across BlueKai’s network. It seems like a significant competitive development, since advertisers can now simply use their existing Google AdWords lists to program ad buying.
Consumer data aggregator RapLeaf said this week that it has stopped transmission of Facebook IDs to ad networks and told consumers how to opt out of its data system following a Wall Street Journal investigation into consumer data privacy.
An online tracking company called RapLeaf Inc. had correctly identified her as a conservative who is interested in Republican politics, has an interest in the Bible and contributes to political and environmental causes. Mrs. Twombly’s profile is part of RapLeaf’s rich trove of data, garnered from a variety of sources and which both political parties have tapped.
Rapleaf’s database contains email addresses. Say an airline offers a discount coupon, as long as you provide your email. When you sign up for the coupon, the airline looks up your email address in Rapleaf’s database; Rapleaf confirms the email is valid by checking it against your profile in its database; and the airline knows it can send you its email newsletter.
Here are a handful of the Big Data insights I gleaned from the conference:
« VivaKi is consistently ahead of the curve, » said McLenaghan. « In such a fast moving, multi-faceted environment, Audience On Demand establishes harmony between creative, data and media in order to identify, target and analyze audiences. VivaKi provides tremendous value for the Publicis Groupe media and digital agencies and their clients. »
In the analog world of J.Crew catalogs and credit card purchases, credit bureaus like Experian built profiles on most of us. In the digital world, a new kind of digital data aggregator is spreading its tentacles on the web. The latest privacy-related dust-up at Facebook, sparked by a WSJ story, might be making Facebook the target of the consumer ire, but in my opinion, the real story centers around San Francisco-based Internet information aggregation company called Rapleaf.
The Wall Street Journal’s recent article in the “What They Know” series discussed the problem of Facebook IDs being passed to ad networks. This is a serious potential privacy risk – and most Facebook applications are impacted by this issue.
Data targeting can make all the difference in a successful online campaign. But it takes more than just data. Many factors influence whether you’re helping (or hurting) your campaign.
A recurring theme during New York’s Advertising Week last month was real-time, data-driven media buying, made possible through emerging technologies such as ad exchanges and demand-side platforms (DSPs.)
Three skills necessary for data-driven start-ups: data munging, the corralling and wrestling of data; modeling, the statistical analysis of data through algorithms; and visualization, the presentation of all the data. While all three are necessary for success, Driscoll believes that modeling and analysis through algorithms is what will determine winners and losers in Big Data.
In 2010, Bizo extended its leadership position by:
Existing companies like Intuit are very well positioned to do amazing things if they can execute. I’m not convinced they can, and rather convinced they can’t. Amazon has already been doing recommendations based on transaction streams. But they haven’t leveraged it in a more general sense with more general kinds of transactions that are coupled with other data – such as location.
The publisher is in the game to make money, and the content (data) we provided them has inherent behavioral value. The result is experimentation with how that data can be used in a relatively open marketplace. Let’s hope for the best!
If you are around the display advertising business long enough — whether on the agency, publisher, or technology side — you tend to forget that the acronyms « DSP » and « RTB » didn’t even exist until recently. Now, we take for granted that we live in this « digital ecosystem, » surrounded by technology and data everywhere we look.
Given the size of the data opportunity, it’s surprising how few publishers are taking advantage of it. Why don’t more publishers sell their data?
TARGUSinfo, the trusted provider of On-Demand Insight®, announced today a multi-year agreement to provide Underground Elephant, a leader in online marketing services, with On-Demand Lead Verification. Underground Elephant is now able to build even stronger and more profitable buyer relationships, as evidenced by its tremendous increase in daily search volume since signing the long-term deal.
Sociocast, the real-time audience data company, today announced partnerships with BackType, OpenAmplify and RapLeaf and the launch of its private beta dashboard for publishers and content companies. The first platform to provide global, integrated audience insights, the Sociocast dashboard delivers actionable insights and measurement, in real-time, to help editorial and direct sales teams identify, engage and monetize audiences.
TARGUSinfo, the trusted provider of On-Demand Insight®, announced today a new multi-year agreement to provide Pulse 360, a leader in data-driven performance advertising solutions, with AdAdvisor data to better target premium audiences and enable brands and direct response marketers to easily increase the effectiveness of their online advertising budgets.
Our data on time shows that businessmen wait until the afternoon to do what an online ad asks them to; while businesswomen react to ads the most in the morning.
The company’s engineers also developed methods to find variables that correlate with behavior. « When you provide the correct tool sets, even when systems are very complex, people typically not familiar with technology become evangelists, » Bennett says. « We all know behavioral targeting and data works, but how do you show it to make people understand? »
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