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marketonline

  1. Using SEOmoz Linkscape advanced link intelligence reports to get SEO insights on our site and those who out rank us. http://bit.ly/kwnBV
  2. Amazon to pay Toys R Us $51 million. Interesting news in the battle of brick and mortar VS online http://tinyurl.com/m44n2r
  3. @oilman That's harsh. I have a hard time finding my four cordless with the ringers on.
  4. Should Google buy Twitter to get real-time search results? I wonder what people who use Twitter search are lookong for?
  5. New Post: Vanity URL’s Available On Facebook http://tinyurl.com/nd79gu (via @6s_marketing)
  6. Hmmm, why is Bing competing with me on Google for some of my best converting terms?
  7. Back from #smx Seattle & Microsoft's Search Summit #badabing. Bing looks good. I think MS will finally gain share. Watch out Google.
  8. @beadguy Great new pewter beads http://www.artbeads.com/pew...
  9. @tim_ash Welcome to Twitter Tim!
  10. Posting ads for Artbeads End of Year Clearance sale on Google. Over 500 items at up to 62% Off -http://www.artbeads.com/cle...
  11. Looking at Artbeads customer websites and am amazed at the variety - handmade wedding jewelry, rhinestone designs, magnets for health...
  12. Researching holiday and Christmas term search volume to develop SEO and paid search strategy. Christmas terms always win over Holiday.
  13. At Affiliate Summit in Boston looking forward to a big day at our Meet Market event.
  14. Using Syntryx to hunt down affiliate bloggers in the web technology space to pitch our Box.net program and $100+ commissions
  15. Taking a look at the iSpionage PPC competitive intelligence tool
  16. Just joined the affiliate summit Ning group and got my Ning account setup. Excited for Boston already!
  17. Reviewing new Box.net landing pages and posting CJ links.
  18. Watching 2yr old drag the dog out of my office. Poor dog, now officially back to the lowest member of pack. Now going for a run.
  19. Hunting down top affiliates in our client's competitors programs and companies with similar customer profiles to build recruitment lists
  20. Building SEO plan using agglomerative clustering and markov chain that I'm learning from someone far more advanced than I