On Thursday I’ll lead a webinar for my friends at NetBase around the topic of research and pulling insights from data. It’s really kind of a fuzzy topic for me because while I know how to do it, I don’t know that I’ve ever tried to explain it to others. But moving through the ideas and trying to come up with some recommendations for folks has been a neat exercise.

You should certainly register for the webinar and join us live, if you can. If not, the event will be archived on NetBase’s website, so you’ll still be able to access it. It kicks off at 2 p.m. ET/11 a.m. PT Thursday, May 12. It should last 45 minutes or so. And as of right now, it’ll be a fast and fun talk. I’m not planning on a lot of PowerPoint slides but rather looking at data and just walking folks through what I look for and see.

Jason Falls Netbase Webinar - Pulling Insights From DataIn preparation, I’d love to hear from some of you who sift through research, particularly those of you who focus on social media data you might glean from monitoring solutions, web-based research tools and the like. I’ll be sharing some ideas on how I try to pull insights from keyword research, anecdotal conversation points and more. But I’d love to hear from you:

  • What do you look for when reviewing surveys, monitoring information, keyword research and so on?
  • How do you decipher anomalies from potential trends?
  • What type of data do you weigh heavier than others?

I’d love your thoughts and ideas on how you find the needles in the haystacks. I’m certainly not the first, only or even best person out there to explain how to pull insights from social media information. Your ideas would be a welcome addition to the conversation.

Come see us on Thursday. In the meantime, drop a comment and let me know how you find insights in the data you see.

Disclosure: NetBase is an online research partner of Social Media Explorer.

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About Jason Falls

Jason Falls

Jason Falls is a leading thinker, speaker and strategist in the world of digital marketing and is co-author of two books, No Bullshit Social Media: The All-Business, No-Hype Guide To Social Media Marketing and The Rebel's Guide To Email Marketing. By day, he leads digital strategy for Elasticity, one of the world's most innovative digital marketing and public relations firms. Follow him on Twitter (@JasonFalls).

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Comments on Social Media Explorer are open to anyone. However, I will remove any comment that is disrespectful and not in the spirit of intelligent discourse. You are welcome to leave links to content relevant to the conversation, but I reserve the right to remove it if I don't see the relevancy. Be nice, have fun. Fair?

  • G Facchini

    Jason, as my business experience I run a company (Buzzdetector) that offers not only monitoring solution but insight generation. We work side by side with our clients to deliver added value to the monitoring action.

    What we look for?

    a) Pertinence: we focus a lot on the pertinence of any single voices, rather than on the volume of voices, to the goal of the assignment. If we find something applicable no matter if it is a single voice, we count it.

    b) Lateral product description: any product can be described by users in an original way, with a fresh tone, in a lateral way. This approach led us to change the entire communication strategy of the main brand of our bigger client: sales response was and still is after two years enthusiastic.

    Potential trends?

    Anomalies can be better detected on the medium term. Within few weeks or months, a wannabe hype will die if not supported by a real ratio

    In general, to quote Jane Austen, it’s a matter of sense and sensibility.

    There a gold mine outside there to be digged.

    • http://socialmediaexplorer.com JasonFalls

      Nice, G. I haven’t seen Buzz Detector yet. Will add that to my list of tools
      to check out.

      • G Facchini

        Many thanks. It will be my pleasure to show it to you.

  • Bob Fichtner

    As a market research professional (26 years), insights are often the result of cumulative observations. Essentially, 1 + 1 = 3. And usually it comes from connecting things that are not obvious – if I know X about a group and also know Y, what does that tell me about the group and their behavior? Sometimes taking random “facts” or observations from a study or multiple studies and working to understand the possible connections are what yield the best insights.

    • http://socialmediaexplorer.com JasonFalls

      Well said, Bob, and a good reminder. Sometimes folks don’t realize that’s
      exactly what they’re seeing … we forget our existing knowledge and even
      assumptions (mistaken or otherwise) about our audiences biases our own
      analysis. Sometimes it leads to good insight.

      But you’re talking about intentional division of the data, cross-checking
      hypothesis, etc., which is certainly a market researcher talking. Thanks for
      the reminder that insights don’t always come in isolation!

  • http://www.facebook.com/profile.php?id=10618874 Chase Sherman

    I don’t have any insight into how I pull data (other than through my Google Reader, Facebook, and Twitter lists). However, I thought this link would be valuable for the community… It illustrates the news break of Osama bin Laden via Twitter. http://blog.socialflow.com/post/5246404319/breaking-bin-laden-visualizing-the-power-of-a-single

  • http://www.online-business-virtual-assistant.com/ Virtual Business Assistant

    I do keyword research for my website and try to find a word which will be searched more and have less competition.

    Singha Roy

  • http://resumecvservice.com/ resume help

    interesting. thanks a lot for the article. i am interested a lot nrelated topics so yous post turned out to bevery useful for me!

  • Anonymous

    From Sept I’ll be writing my dissertation on some of the more mathmatical sides of Social Media. Will deffo check this out. Thanks!

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