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HOME • MANAGE SUBSCRIPTIONS • MEDIA KIT
[x+1] Unveils Real-Time Bidding Platform For All Ad Inventory
by Laurie Sullivan, Wednesday, May 26, 2010, 3:15 PM

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TAGS:  Ad Network, Ad Exchange, Ad Buys, Behavioral Targeting

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Making sure the correct ad serves up at the perfect time across ad networks has never been easy, but doing so across real-time bid (RTB) platforms in milliseconds, as well as non-RTB environments, gets even trickier. But [x+1] CEO John Nardone says the company has figured out a way to make it work.

On Wednesday, [x+1] announced an upgrade to its Predictive Optimization Engine (POE) platform that allows agencies and marketers to automatically optimize online ad impression bids. The platform now provides impression-by-impression bidding on exchange and non-exchange inventory through an intuitive user interface [UI]. It becomes available June 15.

Think of it this way. Someone clicks on a link. And by the time it takes for the browser to connect to the Web site, POE matches the data in the cookie to analyze and verify the characteristics of the data.

POE must look up the model for the client to determine the ad buy. It generates the bid and pushes the information back to the exchange. Chances are the same ad gets multiple bids simultaneously. The platform also must communicate to the ad server to pull the correct content and serve up the advertisement. Whew.

Nardone explains the 60 milliseconds is the service-level requirement from ad exchanges, a requirement that gives them enough time to serve ad without causing a delay in rendering the Web page. It's an incredible technical challenge, especially when there are thousands of transactions per second.

[x+1] reengineered the upgrade version of POE from the ground up to maximize ad performance and optimization in RTB environments, such as major ad exchanges like Google and AdECN and publisher optimizers like Pubmatic and AdMeld. Using both contextual and audience data, it determines in real time the optimal price to bid for each impression.

Nardone says POE has a learning curve for new clients, but engineers have developed something he calls "pre-targeting," which shortens that time. Pixels are put on the client's Web site before the campaign goes live to develop the targeting clusters. That gives the engine a head start to optimize ad targeting.

Last week, [x+1] announced upgrades to its demand-side platform (DSP). Campaign performance metrics, reporting and analytics are now consolidated across inventory sources into one view in the dashboard, and optimization and context-management tools are available through a UI.

The reporting and analytics platform has been upgraded, too. Instead of having to manage campaign data from various purchase sources-exchange-based, non-exchange-based, RTB, non-RTB-in separate spreadsheets, a campaign manager can access all the data through the [x+1] UI, gaining one consolidated view of all digital media campaign activity. The new version also becomes available next month.

36 people recommend this article. 

5 comments on "[x+1] Unveils Real-Time Bidding Platform For All Ad Inventory"

  1. elizabeth kulin from ZEDO
    commented on: June 02, 2010 at 11:39 AM
    Laurie, great request. We must all come together to learn from each other with such new technology. I'll see what I can find. In the meantime, any thoughts on how RTB technology can be upgraded to ensure publishers revenue interests are protected? RTBs can be good for both advertisers and publishers (in terms of building sales efficiency), but I feel that most of the discussions are favor of adding value to advertisers, only.

  2. ken nicholas from MindOnMedia[Sales]
    commented on: May 27, 2010 at 10:19 PM
    From John's note, 40-80% 'lift' is obviously good, but it is compared to targeted RON buys? Depending on the cost equation, does that 40-80% matter, against a more targeted, non-RON buy? [Since this is a 'Bid' situation, is that also a factor, i.e. as to what they are able to compare AGAINST?] Guess we'll see.

  3. John Nardone from [x+1]
    commented on: May 27, 2010 at 1:25 PM
    Walter, The new version of our patented Predictive Optimization Engine (POE) delivered 40%-80% conversion lift over non- exchange-based, non-Real Time Bidding (RTB) targeted run-of-network campaigns for the three beta clients. We expect similar results as we roll out for general market availability.

    John Nardone Chairman and CEO, [x+1]

  4. l sullivan from lauriesullivan
    commented on: May 26, 2010 at 4:23 PM
    Case studies typically provide information on whether the features or platforms sell stuff. This is an intro to a new feature in the platform that will launch in June. I'm open to hearing from companies that have implemented a feature six months ago and have clients willing to share both the good and the not-so-good experiences, so others can learn from the mistakes. Being open to collaborate and share information will move the industry along at a much faster pace.

  5. Walter Sabo from HitViews
    commented on: May 26, 2010 at 3:26 PM
    I never read if this stuff sells stuff.

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