Category Archives: Information

PeekScore Now More Granular

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We have made some changes today to PeekScore. Now, when you click on a specific person’s listing, you will see that their PeekScore includes two decimal places (e.g. 5 could now be 5.26 for a specific user). A lot of people have asked us to include more granularity in PeekScore, as they wanted to have some differentiation between other people’s scores.

Our designers are in the process of updating the PeekScore badge to also include 2 decimal places as well. For now, badges will still show one digit for a person’s score. Also, we will not be rounding up scores that are .99. Thus for example, if a user has a score of 5.99, their score will be a 5, not a 6, on their badge. This will change once badges are updated to match the score’s granularity.

To learn more about PeekScore and it’s uses, please visit score.peekyou.com.

PeekYou Ranked Top 1,000 US Website

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Today it is official. According to Quantcast, PeekYou.com is now ranked 997 in US websites, marking the first time we have broken into the Top 1,000. This announcement comes only a few weeks after PeekYou was able to break through 100,000 visitors per day. We are now seeing traffic steadily increase, approximately 8-10% week over week, with consistently high traffic over 100,000 visitors per day.

PeekYou Ranks Amongst Top 1,000 US Sites

Thank you to all of our users who continue to come back and check out some of the exciting things we are doing here at PeekYou! Our development team has been phenomenal, and we could not have made it this far without their dedication, hard work and vision.

Next stop: Top 500! See you there…

Sincerely,
The PeekYou.com Team

PeekYou – Starbucks Case Study using PeekData Reverse Identity URL Lookups

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Exerts from WebMetricsGuru blog post on PeekYou’s unofficial Starbucks cast study.

PeekData is a enterprise service that takes all the information in just about every important social media platform and organizes it into their own database that is then made available to third party applications (like Social Media Monitoring Platforms – think of the possibilities by considering platforms like Sysomos, Radian6, Brandtology, Alterian, ScoutLabs and many more as suitable third part apps for this kind of information).

Of the entire data related to Starbucks, PeekYou managed to identify positively 14,356 individuals via their social profiles, almost half of them are struggling on between $30K-60K a year income, split between 4 age groups, etc.

Depending on what you want to do the insights can be very helpful for marketing intelligence – defining what to market to whom and when in this case. PeekYou managed to find 583 people who are Starbucks fans who live in Manhattan, and where they live by neighborhood. I can see all kinds of possibilities where sites that have large twitter followings could use the data – even celebrities could use it to determine where their fans are and therefore schedule appearances there.

Read more: @www.webmetricsguru.com. Under Creative Commons License: Attribution

What is PeekYou?

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PeekYou is a database that indexes people and their links on the web. The name “PeekYou” is explained as a contraction of People and Seek. Founded in April 2006 by Michael Hussey (the founder of RateMyTeachers and RateMyProfessors.com), PeekYou has indexed over 250 million people, mostly in the US and Canada.

PeekYou.com is a people search engine where users can freely access this information, whether it relates to themselves or to other people. The site represents an opportunity for web users to control how personal information appears across the web. Compete.com and Quantcast both list PeekYou as a top-2000 site worldwide.

As a data platform, PeekYou also powers and enhances web applications by leveraging deep people data. PeekYou delivers not only segment and aggregate data sets, but also individual level data and targeting abilities by using actual demographic information within a secure framework which protects the privacy of the individual.

The search results are built from publicly available URLs, including MySpace profiles, Friendster, LinkedIn, Wikipedia, blogs, homepages, and news sources.