Showing posts with label readership. Show all posts
Showing posts with label readership. Show all posts
Friday, December 21, 2007
Who Will Sue Google for Incorrect Traffic?
Spain's top media company Prisa said Monday it had taken legal action against Nielsen for miscounting traffic to its ElPais.com Web site as well as readers of its newspaper.
Prisa said its Internet arm Pisacom and El Pais were suing Nielson "based on the damage caused by the unjustified downward revision in the number of unique visitors of ELPAIS.com during the current year."
"The lawsuit argues that due to the serious negligence on the part of Nielson in its measurement of audience figures for ELPAIS.COM, El Pais and Prisa suffered serious damages due to lost advertising this year."
Data from marketing firms like Nielsen are important in determining the amount websites charge for advertising, with sites with high viewing figures being able to charge higher fees to sponsors. Networks sometimes have such disputes with the firms doing the counting.
One has to wonder when somebody will sue Google for mishandling a search ranking.
Labels:
Google,
Nielsen,
online advertising,
Prisa,
readership,
viewership
Gary Kim has been a digital infra analyst and journalist for more than 30 years, covering the business impact of technology, pre- and post-internet. He sees a similar evolution coming with AI. General-purpose technologies do not come along very often, but when they do, they change life, economies and industries.
Subscribe to:
Posts (Atom)
The Fulcrum of Human History
As some see it, not even artificial intelligence is the "fulcrum of human history," the central event around which all other histo...
-
We have all repeatedly seen comparisons of equity value of hyperscale app providers compared to the value of connectivity providers, which s...
-
It really is surprising how often a Pareto distribution--the “80/20 rule--appears in business life, or in life, generally. Basically, the...
-
One recurring issue with forecasts of multi-access edge computing is that it is easier to make predictions about cost than revenue and infra...