Chitika is an online advertising network which uses data analytics to improve the performance of its partners and the experience of internet users within its network. Every month, Chitika serves billions of ads globally to a wide variety of demographics. Chitika Insights is the independent research division of Chitika Inc.
Chitika Insights makes its name by delving into the vast quantities of data which runs through the Chitika network on a daily basis. Generally speaking, the research studies we engage in cover a week’s worth of data, which at the bare minimum use a sample totaling over one hundred million impressions – more than enough to ensure statistical significance. Moreover, our publisher network is composed of hundreds of thousands of customers, both large and small, which encompasses a fair portion of overall traffic on the web. Finally, when engaging in this type of study we remain consistent in our methodology throughout the time interval of the investigation to ensure that we were doing an apples to apples comparison, ensuring that investigations can be done from point A to point B within our own network and being indicative of actual changes within the web.
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About Chitika Insights
Chitika Insights was the research arm of online advertising network Chitika. Insights used Chitika's unique data to monitor and report on Internet trends - search engines, clickthrough rates, the mobile war, and more.
Additionally, the Chitika Insights team monitored the day's tech news closely, and provided an in-depth, data-driven commentary on the latest breaking news. Our studies and data have been featured prominently in major publications, such as The New York Times, Forbes, Barrons and about 3000+ respected publications.
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[…] In light of recent questions about the methodology used for this post, we have published the follow…. […]
[…] you are interested in how these figures were acquired, the methodology was posted in this recent Chitika Insights post. Filed Under: Google+, News, Social […]
[…] They explain their methodology here. […]
[…] and businesses use Google+ to share information and links across their networks,” Donnini explains. “In this case, the number of referrals does correspond to the usage for types of sites where […]
[…] and businesses use Google+ to share information and links across their networks,” Donnini explains. “In this case, the number of referrals does correspond to the usage for types of sites where […]
[…] and businesses use Google+ to share information and links across their networks,” Donnini explains. “In this case, the number of referrals does correspond to the usage for types of sites where […]
[…] and businesses use Google+ to share information and links across their networks,” Donnini explains. “In this case, the number of referrals does correspond to the usage for types of sites where the […]
[…] and businesses use Google+ to share information and links across their networks,” Donnini explains. “In this case, the number of referrals does correspond to the usage for types of sites where […]
[…] you are interested in how we got these numbers, check out this recent post which details our […]
[…] If you are interested in how these figures were acquired, the methodology was posted in this recent Chitika Insights post. […]
[…] If you are interested in how these figures were acquired, the methodology was posted in this recent Chitika Insights post. […]
[…] If you are interested in how these figures were acquired, the methodology was posted in this recent Chitika Insights post. […]
[…] and businesses use Google+ to share information and links across their networks,” Donnini explains. “In this case, the number of referrals does correspond to the usage for types of sites where […]
[…] and businesses use Google+ to share information and links across their networks,” Donnini explains. “In this case, the number of referrals does correspond to the usage for types of sites where […]
[…] If you are interested in how these figures were acquired, the methodology was posted in this recent Chitika Insights post. […]
[…] If you look at the initial traffic figures, as presented by Chitika, the dramatic drop in traffic following the initial search might well make you wonder whether people were not finding sufficient to keep them involved. The image presented shows the data as determined by Chitika Insights: those interested can check out the methodology used. […]
[…] and businesses use Google+ to share information and links across their networks,” Donnini explains. “In this case, the number of referrals does correspond to the usage for types of sites where […]
[…] and businesses use Google+ to share information and links across their networks,” Donnini explains. “In this case, the number of referrals does correspond to the usage for types of sites where the […]
[…] If you are interested in how these figures were acquired, the methodology was posted in this recent Chitika Insights post. […]
[…] They explain their methodology here. […]
[…] Wil je alle cijfers gehanteerde methodes van het onderzoek van Chitika overlopen? Dat kan in het vrijgegeven verslag. […]
[…] They explain their methodology here. […]
[…] and businesses use Google+ to share information and links across their networks,” Donnini explains. “In this case, the number of referrals does correspond to the usage for types of sites where the […]
[…] and businesses use Google+ to share information and links across their networks,” Donnini explains. “In this case, the number of referrals does correspond to the usage for types of sites where […]
[…] Our Referrer Distribution Methodology: A Chitika Special Report (insights.chitika.com) […]
[…] Insights study analyzed more than two weeks of data covering hundreds of millions of impressions (a detailed explanation of the methodology is available here). As mentioned earlier, over the time period studied, activity on Google Plus appears to have […]
[…] Insights study analyzed more than two weeks of data covering hundreds of millions of impressions (a detailed explanation of the methodology is available here). As mentioned earlier, over the time period studied, activity on Google Plus appears to have […]
[…] Concerning Chitika’s statistics which I cited at the beginning of this article, this means that the start of the public beta of Google Plus might have overlapped with the spreading of Google Chrome 14 and thus decreasing referral data during that launch. So in reality the traffic index of Google+ after the rollout of Chrome 14 should be about 25% better as Chitika uses referral data to determine the traffic index. […]
[…] Insights study analyzed more than two weeks of data covering hundreds of millions of impressions (a detailed explanation of the methodology is available here). As mentioned earlier, over the time period studied, activity on Google Plus appears to have […]
[…] Insights study analyzed more than two weeks of data covering hundreds of millions of impressions (a detailed explanation of the methodology is available here). As mentioned earlier, over the time period studied, activity on Google Plus appears to have […]
[…] Chitika Insights, the “independent research division” of the online advertising network, also saw significant upticks in the past three months, as you can see from this graph, using this methodology: […]
[…] “Between the months of September to November, Google+ saw a 118% increase in overall online activity,” Chitika Insights wrote of its findings. “From September to October Google+ posted the biggest growth figures (55%), followed by a growth in online activity of 41% between October and November.” (Learn more about Chitika’s methodology here) […]
[…] The graph above shows activity index for Google+ between September 2011 and November 2011. The highest level of activity observed receives a value of 100, and the other data points are simply a function thereof. The arrows represent the percentage increase in activity witnessed between month to month data sets, all of which were sampled in the second week of each respective month. Chitika used a referrer distribution methodology to conduct this report. For more on the methodology see: https://insights.chitika.com/2011/our-referrer-distribution-methodology-a-chitika-special-report/ […]
[…] analyzed some-more than dual weeks of information covering hundreds of millions of impressions (a minute reason of a methodology is permitted here). As mentioned earlier, over a time duration studied, activity on Google Plus appears to have […]
[…] https://insights.chitika.com/2011/our-referrer-distribution-methodology-a-chitika-special-report/ […]
[…] Chitika Insights analyzed ad impressions coming out of the Chitika Ad network over the past several months using a referrer distribution. […]
[…] Chitika Insights analyzed ad impressions coming out of the Chitika Ad network over the past several months using a referrer distribution. […]
[…] Insights analyzed the site using a referrer distribution (of which a detailed explanation is available here). In this study, an activity analysis of traffic seen coming out of Google+ is compared using a […]
[…] of data covering hundreds of millions of impressions, and boy were we pleased to see the results (a detailed explanation of our methodology is available here). As mentioned earlier, over the time period studied, activity on Google Plus appears to have […]
[…] and businesses use Google+ to share information and links across their networks,” Donnini explains. “In this case, the number of referrals does correspond to the usage for types of sites where […]