In most businesses, not knowing how well a particular product is performing would be almost unthinkable. But newspapers have always been a peculiar business, one that has stubbornly, proudly clung to a sense that focusing too much on the bottom line can lead nowhere good.
Now, because of technology that can pinpoint what people online are viewing and commenting on, how much time they spend with an article and even how much money an article makes in advertising revenue, newspapers can make more scientific decisions about allocating their ever scarcer resources.
Such data has never been available with such specificity and timeliness. The reader surveys that newspapers relied on for decades took months to produce, often leaving editors with stale data.
Looking to the public for insight on how to cover a topic is never comfortable for newsrooms, which have the deeply held belief that readers come to a newspaper not only for its information but also for its editorial judgment. But many newsrooms now seem to be re-examining that idea and embracing, albeit cautiously, a more democratic approach to serving up the news, particularly online.
"How can you say you don't care what your customers think?" asked Alan Murray, who oversees online news at The Wall Street Journal. "We care a lot about what our readers think. But our readers also care a lot about our editorial judgment. So we're always trying to balance the two."
Editors at The Journal, like those at other large newspapers, follow the Web traffic metrics closely. The paper's top editors begin their morning news meetings with a rundown of data points, including the most popular search terms on WSJ.com, which articles are generating the most traffic and what posts are generating buzz on Twitter.
At The Washington Post, a television screen with an array of data -- the number of unique visitors to washingtonpost.com, how many articles those visitors view and where on the Web those visitors came from -- is on display for the entire newsroom. A red or green marker designates each data point, indicating whether the Web site's goal for the month on that particular metric has been met. About 120 people in The Post's newsroom get an e-mail each day laying out how the Web site performed in the closely watched metrics -- 46 in all.
Rather than corrupt news judgment by causing editors to pander to the most base reader interests, the availability of this technology so far seems to be leading to more surgical decisions about how to cover a topic so it becomes more appealing to an online audience.
The Post, which provided extensive coverage of the recent elections in Britain online and in its print editions, found that online readers were not particularly interested in the topic. One of the five most viewed items on The Post's Web site in the last year, in fact, was not a political project at all but a piece on Crocs, the popular foam footwear. Editors attributed that to Yahoo, which linked to the article.
But that did not translate into more Croc coverage. And coverage of the British elections was not scaled back.
Raju Narisetti, The Post's managing editor overseeing online operations, said he saw reader metrics as a tool to help him better determine how to use online resources.
"We ask, 'What can we do online to make it more attractive?" ' Mr. Narisetti said. "Can we do podcasts? Can we do a photo gallery? Can we do any kind of user-generated content?"
He said the data has proved highly useful in today's world of shrinking newsroom budgets. Mr. Narisetti said that when he had to reduce his staff last year, he looked at what kind of content was not performing well with readers. He discovered that long-form video had a low audience, so he reduced that department by a couple of people.
At The Journal, editors use traffic data to inform decisions on how articles should be presented on WSJ.com. "We look at the data, and if things are getting a lot of hits, they'll get better play and longer play on the home page," said Mr. Murray. Conversely, articles getting low audiences will be moved down more quickly if there is no compelling news reason to keep them prominent.
But Mr. Murray explained that the data was not always used as a blunt tool. In the case of a rather dry business development last month involving the Potash Corporation, the Canadian fertilizer maker, Journal editors decided to prominently display articles on the subject despite very low traffic numbers.
"We didn't put it there because it was going to be a big traffic getter. We put it there because it's big important news in the business world," Mr. Murray said.
The New York Times does not use Web metrics to determine how articles are presented, but it does use them to make strategic decisions about its online report, said Bill Keller, the executive editor. "We don't let metrics dictate our assignments and play," he said, "because we believe readers come to us for our judgment, not the judgment of the crowd. We're not 'American Idol.' "
Mr. Keller added that the paper would, for example, use the data to determine which blogs to expand, eliminate or tweak.
As newspaper Web sites use technology to learn more about readers' habits, they are also developing new ways to persuade readers to tell them more about what they want. The Los Angeles Times features what it calls a "personality quiz" for readers on its Web site. The feature adds a spin to the personalization options that Web sites have offered for the last few years with a 17-question test that asks readers things like "What does success mean to you?" and has them pick from 12 photos. A few options include images of a wedding, a gleaming sports car and a man embracing a peasant child.
At the end of the quiz, readers are assigned a personality type like "dynamo," who, as the quiz explains, is someone "always seeking new adventures that broaden your horizons and take you out of your comfort zone." A customized news feed then appears each time a reader visits the Web site from the same computer.
"It helps me understand the readers in a way that I can't with just the metrics," said Sean Gallagher, managing editor for online operations at The Los Angeles Times, explaining that he now pairs sports articles with food articles because surveys have shown a correlation.
As the technology advances and allows papers to look more deeply at performance metrics, newsrooms may find that there is just some data they would rather not know.
At a recent meeting with the top online editors of The Los Angeles Times, a consulting group that helps media companies enhance profits from their Web sites pitched new software that it said could change the industry. The newsroom would be able to know how much money -- down to the penny -- each of its articles online was making when readers clicked on ads.
"I could see a business case for it," said Mr. Gallagher, who hastened to add, "I don't agree with that business case."
Software developers acknowledge that the questions can be difficult as newspapers try to reinvent their business models. But they say the dialogue is ultimately constructive.
"By having this data and making it available, we're spurring the conversations to take place," said Tim Ruder, chief revenue officer for Perfect Market, the company that developed the tracking software for ad clicks. "And it's especially healthy to have those conversations in the context of experience and not in an abstract way."
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