Most content on the Internet is generally free. So that raises the question: Who exactly is paying for the content being free? This Chitika Insights study digs into that question.
With most people now being accustomed to their Internet content being free, one often wonders: Who is it that is paying for all this free content?
Well, the answer is: Advertisers.
Correct – but who exactly are the ones clicking on those ads?
To answer that question, Chitika Insights looked into its trove of data to see who clicks on ads in the Chitika network.
Before we proceed, let us look at the methodology here:
Study Methodology
This study was done using data from the Chitika network. Chitika analyzed millions of impressions from its ad network looking into the usage patterns of its viewers and clickers.
By analyzing the ad data, this study and insights were extracted. Read more about the methodology here.
Key Findings
Only two in 100 people who browse the Internet actually click on the advertisements that fund websites, according to a new report by online ad network Chitika.
“2% Of Internet Population Paying For 100% Of Internet” – Chitika Insights
The study, based on the actions of 86 million Internet users over a two-week period, helps illustrate the value of an individual “clicker,” and the vast business potential that remains untapped for website owners and advertisers alike.
During a two-week period in October, Chitika monitored ad clicks of a sample of 86,683,507 anonymous individuals throughout their 60,000+ publisher network to determine what percentage could be classified as “clickers.”
During the two weeks focused on for this study, 1,863,710 of the anonymous individuals actually clicked on an ad at least once, for a 2.15% “clicker” rate.
Chitika has long championed the idea of knowing when not to show ads, claiming that by being able to accurately predict a user’s likelihood to click, the online advertising world can become at once less intrusive and more effective.
Replacing old-media theories of advertising to demographics with predictive targeting towards the people most likely to act on an ad appears more and more viable with improving technology, and can go a long way towards helping online advertising dominate its traditional media counterparts.
This study also reveals the value of targeting past converters in your conversion rate optimization. Someone who has bought from you before, or clicked on your ads, is far more likely to convert again.
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It seem like .This study show why my site does not do that well.2 out of a hundred is not good for low traffic site like my.
Terry
sad news for us publishers…. why do readers dont click the ads? hmmmmm… heheh
My websites have Chitika CTR 2.05% in average.
Other programs (inline text) are around 1.5%.
I was under impression that I have low CTR, but in fact I’m above the average.
Well,after looking into my stats I agree with the research. 453 visit and only 3 clicks with $1.21 revenue. I need to experiment with chitika ads placement guide.
Over many years of running websites and participating in the evolution of website advertising, the 2% figure is exactly what I would have expected. The real key to improving ad performance on websites is effective targeting of ads, good placement of those ads and the avoidance of obnoxious ads that provoke users to find methods to disable them.
The best things about effectively targeted text ads like used by Chitika and Google AdSense is that they are not obnoxious and they actually promote things that users are more likely to be interested in.
people hates to click on the ads.. to get more clicks ad should displayed in a proper way.. it should not look like an ad,,so people can see…yes i must check it out WHTts this….. more clicks>>>more money..
I’ve analyzed stats in the past and came up with figures of around that amount – whether it was affiliate links, or PPC ads, as far as I remember.
now i understand why after having chitika running on my blog for 3 months, I have not even earned 3$