Bing likes stuff

14 10 2010
  • Bing introduces “Bing Social Search” after partnering with facebook. This feature uses your Facebook profile and then gives you results based on the relevance to your friends.For example if you search Iron Man 2, it will tell you how many of your friends have “liked” things to do with Iron man 2 and that will influence the results. The article is here. This could have implications for Facebook marketing, i.e. earning a lot of likes on Facebook will translate into favourable search results for your company, could be interesting if this technology comes to Google.
  • Conversation marketing has an article on “Sleazy SEO sales tactics” and how to avoid using them to advertise your SEO business.
  • Datalicious published the keypoints from their guest lecture at ADMA on developing insights;
  1. Standardise metrics to enable benchmarking and performance comparison over time and across campaigns.
  2. Think outside the box, online information such as free Google search based data can be used in many ways.
  3. Statistical significance is the main reasons why you need additional media measures and not just sales.
  4. Data and insights have to come from one central analytics platform otherwise duplication becomes an issue.
  5. Last click attribution doesn’t accurately reflect media performance and leads to misallocation of media budgets.
  6. The single most powerful analytics tool to provide context around trends is a simple calendar of events.
  • Problogger has an article about Facebook marketing that can be applied to any product/service. Makes a good point that unlike search Ad’s , Facebook Ads provide you with an understanding of every user that clicks through.
  • Danny Sullivan has published a comScore report that shows Yahoo is losing ground in the search engine industry, down 16.7 from 17.4 . Bing is up 11.2 from 11.1 and Google is smashing it with 66.1 up from 65.4, perhaps an indication that people like Google instant. Yahoo however rejected these results at Yahoo Search Blog postulating that Google instant was unfairly weighting the results by generating more searches per query.



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