Skip to main content

Content Marketing: Paid, Owned and Earned Media

 
There are three kinds of content marketing -- paid, owned and earned media. Paid media is advertising inserted next to another publisher's content; owned media is brand-created content; and earned media is when an independent publisher provides content about a product or service.

"Each medium offers distinct advantages, and it is important that all work together," said David Hallerman, eMarketer senior analyst. "The best approach is holistic, where each channel supports the others, as when paid advertising produces earned word-of-mouth, which stimulates traffic to owned microsites."

While online marketing is primarily direct-response focused, the trend toward more brand-focused spending is clear. By 2014 nearly 42 percent of online advertising budgets in the U.S. will be spent on branding.

Within the display ad sector, the focus on branding also comes through. Spending on online video advertising will rise faster than display spending as a whole, while substantial budget will go to banner advertising.

Video and banners, along with search engine marketing, make up the major paid-media online formats. Company websites and blogs, along with in-house email lists, provide the owned component, where marketers have complete control over messages and can offer content that fulfills their overall goals.

And, while word-of-mouth has always been a key driver of purchase decisions, earned media also has new importance with the rise of social media applications.

"The mix of techniques required and the advantages marketers get from paid, owned and earned is far greater online than offline," said Hallerman.

"They must learn to construct campaigns that rely on all three types of media to engage with consumers and amplify brand messages. Paid, owned and earned media all contribute to the whole and to one another."

Popular posts from this blog

Frontier AI Peaked. Here's What Comes Next

The prevailing narrative around artificial intelligence (AI) has been one of relentless scale. Bigger models, bigger clusters, bigger budgets. The assumption, largely unchallenged until recently, was that raw parameter count translated directly into competitive advantage. New research from Omdia suggests it's time to retire that assumption. According to the latest market study by Omdia, parameter growth in frontier AI models has slowed to around 5 percent annually since 2021, a stark contrast to the more than hundredfold expansion seen between 2019 and 2021. Enterprise AI Market Development For executives who have been making infrastructure and investment decisions based on the assumption that AI would keep demanding ever-larger, ever-more-expensive hardware, this finding deserves serious attention. The race to the top of the model size leaderboard has, at least for now, plateaued. Crucially, Omdia's analysts are not reading this as an AI winter. Alexander Harrowell, senior pri...