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Former Gawker employees are crowdfunding to relaunch a Gawker.com that’s owned by a nonprofit and funded by readers
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Sept. 29, 2014, 2:26 p.m.
Business Models

Capital New York give us a look at The New York Times’ native advertising business in a profile of Meredith Kopit Levien, its executive vice president for advertising, and it appears to be growing. Since launching earlier this year, it’s struck deals with 32 different brands — from Netflix to Thomson Reuters — to create ads that cost from $25,000 to more than $200,000 just to create.

And the Times’ in-house content studio, T Brand Studio, is up to a staff of 16 — up from nine when my colleague Justin Ellis wrote about the Times’ approach native advertising in June.

The build up of the Times’ native advertising capacity is part of a larger overhaul of its advertising department that began when Levien took over as the executive vice president for advertising in July 2013. She’s replaced about one-third of the current staff with new hires, bringing on more than 80 staffers. Of those who left, about half were offered buyouts or early retirement, “a move that some interpreted as a way of nudging older employees out the door,” Capital writes.

Print continues to generate most of the Times’ advertising revenue, but with its continued emphasis on native and digital advertising, especially video, Levian said she’s optimistic: “We’re certainly not going to put up a victory banner yet, but we are beginning to find our way into what feels like a sustainable path toward growing the digital business.”

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Former Gawker employees are crowdfunding to relaunch a Gawker.com that’s owned by a nonprofit and funded by readers
A Kickstarter campaign aims to raise $500,000 before January 8 to try to buy back and relaunch Gawker.com, which will be owned by a newly established nonprofit Gawker Foundation.
A growing turn to philanthropy
“In 2018, more nonprofit newsrooms will be launched than North Korean test missiles.”
Scooped by AI
“I’m not talking about computer-generated stories about earthquakes, earnings reports, or sports scores. These will be stories on your beat, written by humans who understand how to use machine learning to aid their reporting.”