Media Buying: Don’t Pay for Bad Traffic
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Media Buying: Don’t Pay for Bad Traffic

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Engage:BDR has some new developments for performance marketers. Heather Vale Goss of Performance Marketing Insider interviews Ted Dhanik, CEO of Engage:BDR at Ad:Tech in San Francisco. Discover what’s new on their full-serve platform and when you can take advantage of it. Viewable Impressions options allow you to achieve higher quality traffic as an advertiser, and higher payout as a publisher. Find out how this helps you avoid paying for fraudulent activity, what it means to your bottom line and how you can optimize through Engage:BDR.

Written by Heather Vale

Heather Vale is a seasoned journalist, writer and interviewer known as The Unwrapper™. For more than 20 years she has worked in all media: TV, radio, print and online. She began interviewing on the internet for the first time in 1998, and for the second time in 2005. Many of the sites she has founded revolve around her branding concept “Unwrapped” — which is about metaphorically peeling back the layers of the onion to get to the core truth in any topic.

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2 Comments

  • Bob Barker says:

    Heather’s interview with Ted Dhanik is relevant, insightful, and press-worthy.(Worth the whole 9 minutes and one second to watch).
    Eye-on-the-prize metrics is a game changer in that it keeps everyone delivering honest content to non-virtual humans.
    Bot views will only be worthwhile when Citi or Chase start issuing cards to Robots (doubtful if this will become the new cottage industry- however, who knows what North Dakota will do next)…
    Price will be determined by market float- however if one is of the school – you get/give what you pay for, this can only enhance the value of CPA and will value itself accordingly.

  • Mr. Big says:

    Ted Dhanik has solved the punk affilate marketer rip off scam. I am interested in seeing how this backs out into ROI. If this does what Ted claims why would anyone use the scammer ad networks like Clickscam or CtwoMscam to name a few.

    Mr. Big

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