Skip to main content

Advertising Growth Varies by Media Segment


Advertising outlets are expanding as emerging Internet, interactive and satellite radio line up alongside old media. But Kagan Research finds total advertising revenue � a measure of upward movement � lackluster, which indicates a divide between the haves and have-nots.

Some old-media segments are stagnating, which pulls down the total revenue average. The new-media segments � Internet and satellite radio, for example � are fast growing, but remain small or medium-size slices of the $240 billion U.S. advertising pie (gross billings in 2005 for both national and local).

There's another divide along the same line. The ability to measure audiences in new media is superior, given digital data is in computer-like binary code that is easy to capture and sort. Analog media such as magazines and newspapers don't directly generate such digital data.

"Advertisers are skittish about old media for which it is difficult to measure audience size and track consumer activities," notes Kagan Research senior analyst Derek Baine. For example, radio still relies on listeners filling out personal diaries by making hand-written entries on paper, although a new 'electronic survey' technology is being tested. In contrast, on the Internet consumers are clicking links and making purchases that can be monitored�sometimes on an individual consumer basis�from a specific advertisement.

Popular posts from this blog

The AI Application Integration Challenge

Artificial intelligence (AI) has rapidly become the defining force in business technology development, but integrating AI into applications remains a formidable challenge. According to a recent Gartner survey, 77 percent of engineering leaders identify AI integration in apps as a major hurdle for their organizations. As demand for AI-powered solutions accelerates across every industry, understanding the tools, the barriers, and the opportunities is essential for business and technology leaders seeking to evolve. The Gartner survey highlights a key trend: while AI’s potential is widely recognized, the path to useful integration is anything but straightforward. IT leaders cite complexities in embedding AI models into existing software, managing data pipelines, ensuring security, and maintaining compliance as persistent obstacles. These challenges are compounded by a shortage of skilled AI engineers and the rapid evolution of AI technologies, which can outpace organizational readiness and...