Skip to main content

Sponsored Search Links Grow 16 Percent

Nielsen//NetRatings announced that the number of sponsored link advertising impressions on the Google and Yahoo! ad platforms grew 16 percent, from 55.4 billion to 64.3 billion, between August 2005 and January 2006. This accounts for sponsored link impressions not only on the Google and Yahoo! Web sites, but also in their respective search and contextual advertising networks.

�Despite the overwhelming market share that Google and Yahoo! search enjoy, they continue to see strong growth in the volume of sponsored links,� said Ken Cassar, chief analyst, Nielsen//NetRatings. �While Google, in particular, seeks to diversify its revenue, it is a positive sign that its core search advertising business remains robust.�

Although Google had more sponsored link impressions in January, Yahoo! is gaining ground. During the last six months, Yahoo's sponsored links have grown 21 percent to 23.2 billion, while Google's have grown 14 percent to 41.1 billion

Popular posts from this blog

AI Agents Have Memory. Where is The Security?

Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...