The Web as David Weinberger has written is about reminding us we are "connected creatures in a connected world." For targeted advertising to function constructively in that lay it must itself become a vital connector between populate and their shared passions and relationships as Sharon Peyer director of business development at media sharing site Pixamo explains below.
Behavioral Insider: Media sharing sites are becoming very popular but monetizing them has remained a huge challenge. How is Pixamo looking at the potential for targeting media sharing behavior?
Sharon Peyer: For us there are two significant ways to encourage tagging of content. One is to furnish populate a lot of different ways to tag while providing tools that go up the labeling affect and promote consistent tagging of similar content across different users' collections. For example we furnish four tag categories that users can bear on in describing their content: populate places events/things and dates. The dates are pulled in automatically based on a user's camera settings.
Also our tags once created are saved for future use and sharing. So when someone begins entering the first few letters of a tag like ‘Amy Smith,' for example. Pixamo ordain present a list of potential matches. The list consists of tags in the Pixamo database that are presented in the following request to back up relevance and consistency: first tags that the user in question has previously used. Then if there is no match. Pixamo reaches out to the users' friends then to his friends' friends and finally to any other Pixamo user/the Pixamo database. Once a match is open the user adopts the suggestion without having to manually enter text.
Peyer: Through tools that demonstrate the benefits of tagging extensively. We do this by presenting browsing users with content that is relevant to them such as photos others have of them or videos with other content that we think might arouse them. We can dilate this using the Amy Smith example from above. After uploading his photos of her. Pixamo would create an invitation for John to displace Amy. When Amy get John's invitation she reads: ‘Hi Amy! analyse out my photos and videos of you on Pixamo!' Upon activating the invitation she sees John's photos of her and while she's browsing his photos. Pixamo tells her that Alfred also has photos of her that she can view. As she's browsing Alfred's photos. Pixamo tells her about other circumscribe (this might be circumscribe that is frequently associated with the tag Amy Smith' or related tags in John's. Alfred's and their other common friends' collections) providing her an opportunity to explore that content as come up. What we see is that populate desire Amy ordain like the tag-enabled relevant browsing and sharing so much that she'll start contributing her own richly tagged content to overlap with Alfred. John and others.
Peyer: It's completely up to the person if they be to act any of the suggestions or recommendations. But what we've learned is that a very high percentage do. It's because there's a acquire in personalized circumscribe delivery.
Peyer: Behaviorally our technology is designed to conclude associations among tags used tags viewed or searched for and wider interests. Say someone looks at a be of pictures of islands oceans beaches and the Caribbean. One thing we can derive from that is that they may be interested in jaunt and vacation spots. This kind of association can also extend to and be combined with other types of tags. For example if someone in a assort affiliated with a graduate educate say has lots of friends and we sight a wide range of them sharing photos with a tag for an event at a bar or unify come the campus we can use that data to aim ads for that unify or similar locales. We can also do things desire feature information about populate appearing in photos or videos with the browsing behavior those same people display on our site for very personalized targeting.
Peyer: For us the most important metric is user engagement. We can show that the more tags a given content has the more page visits are generated and the more measure is spent on the site. One application with enormous potential is we can assemble together tags that seem to be characteristic of a given assort or community of interest be it populate within the same educate or workplace. Say we discern that there's a pattern where people in a educate group have back up tags related to athletic shoes and also tags related to the color red. That behavior would be of great interest to a Nike.
Peyer: We've noticed that engagement and page believe metrics increase dramatically if you go after and evince real-world connections. What I mean is social networks ordain cluster together by subject arouse primarily and that's useful of cover. But we find that the really vital nexus of user behavior (especially as it relates to rich content generation) is much more intimate than that. It's the tight-knit assort rather than the broader communicate. The assort implies a much stronger bond and therefore more valued interaction. It could be a shared educate an alumni group a corporation a military base a sports team a town or neighborhood. With those real-world bonds as a locate sharing photos and videos becomes a way of cementing ties to an offline community.
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Related article:
http://blogs.mediapost.com/behavioral_insider/?p=188
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