Friend at work said to check out website magazine. It’s targeted to social media advertising
Updates from August, 2009
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Friend and work said to check out websit...
messel
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messel
Got some great focusing questions from Ryan this weekend. They’re a good reminder of what’s important and whether or not this concept is the right one. Only real user feedback & stats will tell.
1) Are you solving a REAL problem?
a) increasing click through rates for advertising b)making content
more personalized to information available within social media2) Who is your ideal customer?
a) any website that hosts ads (bloggers, online magazines) b)
users, people that are actively share information with social media3) How much does the problem cost your ideal customer? **Very important Q for us**
currently billions are earned in advertising revenue per year. Even
a small increase to click through rates would make ad aggregators &
web hosts substantial money. Hundreds of millions of users are active
in social media, this number will only increase.4) How do you explain in 30 seconds what your solution is?
Improve click through rates of ads by making them targeted and
personalized to each users interests. These interests are extracted
from social media historical data, with recent information being more
heavily weighted.5) Is there a way to protect the solution/IP, and for how long?
Multiple businesses are using different strategies for semantic
extracted data. We can create a protected database (the system for
storing/weighting keywords over time, it’s a statistical pattern
recognition problem), the data itself is user owned (it’s their social
media info after all). -
messel
Contacted Ensemble, the winning team of the Netflix prize.
My original message:
Dear Ensemble,Fascinating experience, congratulations to the entire team. I’m
curious what happens to the algorithm(s) now though? I’m working on
loose pattern matching problem (semantic tags extracted from social
media) in an attempt to help focus real time internet conversations
topically, as well as provide advertisers with a chance at relevancy
to the individual.Any chance your team is interested in reapplying the methodology to
other spaces?Thanks for your time either way,
Mark EsselHere’s what I heard back:
Hi Mark.Thanks for contacting us! We are definitley interested in applying what we have learned to different problems.
I forwarded your email to other members of the team. Someone should respond in the next few days. If you haven’t heard anything in a few days, please contact me again and I’ll find out what is being done.
Thanks!
Greg McAlpin
member of The Ensemble -
messel
We need to focus on the acceptance and viral spread factor of the contextual advertiser. I think the real time content/conversation search may help users adopt the tool and businesses to utilize the information. Watching http://blog.businessofsoftware.org/2009/07/seth-godins-talk-from-business-of-software-2008.html about 5min in Seth talks about software requiring built in marketing. It’s similar to his earlier talks (sliced bread, old advertising/purchases loop, average products to average people).
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messel
Side note, love the slide rocket zendesk/forums: http://sliderocket.zendesk.com/portal
also a great tool for chart making: http://www.sliderocket.com/ -
messel
Please welcome another potential candidate (if he’s interested and can find something he wants to tackle), Ryan Leland. Ryan’s a web programmer that hit into some bumps in the road with this web project after 5months. Here’s his post: http://ryanleland.com/2009/08/post-mortem-you-vs-me-com/ to get a better feel for him.
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messel
Hey Vlad wanna write up something for a landing page on a web site. Like a his we’re “X” and this is what we do?