Home Ad Exchange News Comcast Buying Freewheel; About Facebook Ads

Comcast Buying Freewheel; About Facebook Ads

SHARE:

comcast-freewheelHere’s today’s AdExchanger.com news round-up… Want it by email? Sign-up here.

Video Acquisition

Over the weekend, Ryan Lawler said in TechCrunch that, according to his sources, Comcast will buy video platform Freewheel for $320 million. Lawler explains, “Comcast, of course, is interested in owning the technology for its own video ad platform. That said, FreeWheel is expected to continue serving outside clients, particularly the networks that the cable company has partnered with for its own TV Everywhere services.” Read it.

Programmatic Defined

Bob Arnold gives his take on programmatic in a Q&A with the ANA’s Ken Beaulieu for MediaPost. Arnold defines programmatic as “utilizing technology to plan and buy media in order to reach the right person with the right message when they’re most receptive. It eliminates a lot of the guesswork of media buying.” Read the rest.

This Is How It Is

On Digiday, John McDermott says that Facebook isn’t making any friends on Madison Avenue. He writes, “Facebook is not yet good at the agency game, where buyers are used to being wined and dined. Like Google before it, Facebook often gives off a blunt, ‘this is how it is’ approach. Agencies are under more pressure to prove their worth and fear being cut out of the equation by technology platforms.” Read more. Meanwhile, ad prices may be rising on Facebook according to an Inside Facebook article.

Guaranteed Display

Display ad platform iSocket announced iSocket for Advertisers as it looks to plant a flag in the programmatic guaranteed marketplace. MediaPost’s Laurie Sullivan explains, “Media buyers at agencies and brands can browse iFA’s publisher catalog and buy reserved inventory directly from any of iSocket’s publishers, like Microsoft, Conde Nast, Reuters and Forbes.” Read more.

Hot Links

Marketing Land looks at some new referral data for news sites in a report from Web analytics company Parse.ly. Matt McGee writes, “In January, Parse.ly says traffic from Google sites to its network was about 38 percent of all referrals, down from 44 percent in October. Over the same period, Facebook referral traffic rose from 16 to 26 percent. In other words, a gap of 28 percentage points in October dropped to just 12 in January.” Read more.

You’re Hired!

But Wait. There’s More!

Tagged in:

Must Read

Who Will Stand Up For The Open Web?

The open web is done, stick a fork in it. Banner blindness is near universal, search traffic has run dry and publishers are struggling for oxygen. But what if that’s … not true?

A comic showing lab techs as stand-ins for legislators experimenting with provisions for US state privacy laws, including restrictions on collecting sensitive data.

What Publishers Don't Know About New Jersey’s Data Broker Law Could Cost Them

Attention, publishers: Although you might not think of yourself as a data broker, in the great state of New Jersey, that’s not really your call anymore.

Predict Bowl Icon. Magician Element, Forecasting Symbol – Vector.

Why This Marketing Measurement Company Just Open-Sourced Its Forecasting Engine

MMM can tell marketers what worked, but Lifesight’s open-sourced forecasting tool aims to tell them what to do next.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

Podcasts Are Becoming More Programmatic. But Now Advertisers Have To Keep The Ad Load In Check

As programmatic buying becomes more common in audio, marketers and platforms fight the temptation to cram in as many placements as possible.

PubMatic Jumps On The Show-Level CTV Targeting Bandwagon

Connected TV advertisers are still pining after show-level control. And PubMatic announced contextual targeting at the episode level is available to media buyers accessing CTV inventory through its platform.

SQREEM Touts The Large Behavioral Model – Not The LLM – As The Winning Predictive Engine

Rather than relying on machine learning, SQREEM uses a mathematical AI model to track how systems change over time and predict audience behavior.