Skip to main content

Local Radio Station Innovation Opportunity

A survey of 35,000 radio listeners found that local radio stations would do well to better integrate their websites, and offer streaming channels, podcasts and ringtones to cater to growing interest from the key 18-29 year-old demographic. The MediaSpan study, performed by Frank N. Magid Associates, shows that 40 percent of these radio listeners access streaming radio stations weekly; 28 percent said they downloaded music monthly, with 14 percent saying they "purchased" their songs; 11 percent said they downloaded podcasts monthly, and 26 percent said they download ringtones every month.

Many of the survey respondents, who were culled from 73 radio station websites, said they would download this content from radio station sites if it were available. "The study clearly showed that on-air radio has a complementary audience, online that is young, affluent, highly attractive to advertisers, and looking for unique content," said MediaSpan's Mark Zagorski. "In order for stations to renew and grow their audience relationships with a new generation of listeners, they will need to incorporate new media activities such as podcasts, streaming and integrated music downloads into their daily on-air and online programming."

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...