• ContextIn Raises "Several Millions" For Algorithmic Approach To Ad Buying

    Friday, February 25th, 2011

    Robin Wauters is the European Editor of tech blog The Next Web and lead editor of Virtualization.com. He was a senior staff writer at TechCrunch until his departure in February 2012. Aside from his professional blogging activities, he’s an entrepreneur, event organizer, occasional board adviser and angel investor but most importantly an all-round startup champion. Wauters lives and works in... → Learn More

    ContextIn, an Israeli company I first got to know when they launched their semantic technology platform at my Plugg conference back in 2009, has recently shifted focus to the buying side of the online advertising equation. We’ve now learned that the company has raised “a few million dollars” in a Series A round led by Spark Capital and Pitango.

    I have to admit I’m not 100% clear on what they are building – the company has yet to formally launch its solutions publicly – but the general idea is to bring an algorithmic approach to the optimization of media buying across the various display ad exchanges (e.g. AdECN, Right Media and DoubleClick Ad Exchange).

    The aim is to provide advertisers and agencies with a way to broaden the target audience for ad impressions at a fraction of the cost through a real-time bidding system similar to those used by companies like MediaMath, AppNexus and Invite Media (recently bought by Google).

    ContextIn has also appointed a new CEO since I last heard from them. His name his Tomer Afek, a former Principal at VC firm Evergreen Partners.

    Company: ContextIn
    Website: contextin.com
    Launch Date: 2007

    CONTEXTin is an advertising technology company, providing pricing solution for display advertising media. The company combines unique ad-impression representation with advanced big data prediction algorithms. CONTEXTin provides advertisers with the ability to scale their performance-based online campaigns beyond the standard media buying optimization techniques.

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