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  • clarehiler 3:03 pm on April 14, 2011 Permalink | Reply
    Tags: , Research, Statistics,   

    How BIG is social media and why? 

    What are your thoughts?

  • clarehiler 6:43 pm on April 7, 2011 Permalink | Reply
    Tags: , , , Research   

    A couple of weeks ago we proposed the… 

    A couple of weeks ago we proposed the following after a Mashable article named the top engaged facebook pages, and not a single news organization made the list.

    What aren’t news organizations competitive on this list? Shouldn’t we as news organizations and journalists attempt interaction regularly, and take social media more seriously? Or, do journalists feel as if social media isn’t as important as gathering the news?

    After conducting a poll these are our results.

    Do you agree with the results? You can read our full post here.

  • clarehiler 8:39 pm on April 3, 2011 Permalink | Reply
    Tags: Research,   

    Are we in the age of the “second internet?” Take a look at this research and decide for yourself.

  • clarehiler 6:16 pm on March 21, 2011 Permalink | Reply
    Tags: , Men's Health, Research, , , Twitter Towns   

    Top 100 Socially Networked Cities in the U.S. 

    The folks at Men’s Health put a list together of the most socially networked cities in the U.S., and the answers might surprise you. The top “Twitter Towns” are not the top 10 markets in the U.S., though some are (Washington DC, Atlanta, Boston), but instead a variety of cities within the U.S. that some could suggest is a more accurate representation of the U.S. population.

    For example, New York City ranks #54 on the list, a city that most would suggest is the media capital of the world. However cities like Salt Lake City Utah, Raleigh North Carolina, and Aurora Colorado are all ranked within the top 20 cities.

    Here is how the magazine conducted it’s research:

    We started by calculating the number of Facebook and LinkedIn users per capita, followed by overall Twitter usage (NetProspex). Then we looked at traffic generated by the major social networks, including Myspace, Friendster, Reddit, and Digg (analyzed by ad network Chitika). Finally, after factoring in the percentage of households that check out chat rooms and blogs (SimplyMap), we had the results you see below.

    Take A Look At The Most Socially Networked Cities:

    1 Washington, DC     A+
    2 Atlanta, GA     A+
    3 Denver, CO     A+
    4 Minneapolis, MN     A+
    5 Seattle, WA     A+
    6 San Francisco, CA     A
    7 Orlando, FL     A
    8 Austin, TX     A
    9 Boston, MA     A
    10 Salt Lake City, UT     A-
    11 Cincinnati, OH    A-
    12 Raleigh, NC    A-
    13 Burlington, VT    A-
    14 Portland, OR    B+
    15 Madison, WI    B+
    16 Dallas, TX    B+
    17 Portland, ME    B
    18 Sacramento, CA    B
    19 Aurora, CO    B
    20 Boise, ID    B
    21 Charlotte, NC    B
    22 Wilmington, DE    B
    23 Oakland, CA    B
    24 St. Louis, MO    B
    25 Las Vegas, NV    B
    26 Columbus, OH    B
    27 San Diego, CA    B
    28 San Jose, CA    B
    29 St. Paul, MN    B-
    30 Plano, TX    B-
    31 Tampa, FL    B-
    32 Nashville, TN    B-
    33 Los Angeles, CA    B-
    34 Phoenix, AZ    B-
    35 Newark, NJ    B-
    36 Miami, FL    B-
    37 Norfolk, VA    C+
    38 Richmond, VA    C+
    39 Chicago, IL    C+
    40 Durham, NC    C+
    41 Colorado Springs, CO    C+
    42 Des Moines, IA    C+
    43 Jersey City, NJ    C+
    44 Indianapolis, IN    C+
    45 Milwaukee, WI    C+
    46 Fargo, ND    C+
    47 Columbia, SC    C+
    48 Houston, TX    C+
    49 Philadelphia, PA    C+
    50 Birmingham, AL    C+
    51 Cleveland, OH    C+
    52 Kansas City, MO    C
    53 New York, NY    C
    54 Greensboro, NC    C
    55 Reno, NV    C
    56 Manchester, NH    C
    57 Providence, RI    C
    58 Baltimore, MD    C
    59 Little Rock, AR    C
    60 Louisville, KY    C
    61 Sioux Falls, SD    C-
    62 Omaha, NE    C-
    63 Pittsburgh, PA    C-
    64 Baton Rouge, LA    C-
    65 Lexington, KY    C
    66 Wichita, KS    C-
    67 Anchorage, AK    C-
    68 Lincoln, NE    C-
    69 Cheyenne, WY    D+
    70 New Orleans, LA    D+
    71 Tucson, AZ    D+
    72 Buffalo, NY    D+
    73 Honolulu, HI    D+
    74 Santa Ana, CA    D+
    75 Charleston, WV    D+
    76 Oklahoma City, OK    D+
    77 Virginia Beach, VA    D+
    78 Winston-Salem, NC    D+
    79 Tulsa, OK    D+
    80 Albuquerque, NM    D
    81 Fort Worth, TX    D
    82 San Antonio, TX    D
    83 Jackson, MS    D
    84 Chesapeake, VA    D
    85 Jacksonville, FL    D
    86 Riverside, CA    D
    87 Memphis, TN    D-
    88 St. Petersburg, FL    D-
    89 Toledo, OH    D-
    90 Corpus Christi, TX    D-

    Least socially networked
    91 Billings, MT    D-
    92 Fort Wayne, IN    D-
    93 Bridgeport, CT    D-
    94 Detroit, MI    D-
    95 Fresno, CA    F
    96 Bakersfield, CA    F
    97 Lubbock, TX    F
    98 Stockton, CA    F
    99 Laredo, TX    F
    100 El Paso, TX    F

    The list leaves me with a lot of questions, why are cities like New York ranking so low? But it also leaves me really excited. Excited because cities that I would never expect to be at the top (for example #13 Burlington, VT, #14 Portland, OR, #15 Madison, WI) are using social media more than we realize, people that we wouldn’t expect to, are turning towards social media.

    Let’s talk about the list, leave us your comments on the list, and questions that it left you.

    • kcreese 6:53 pm on March 21, 2011 Permalink | Reply

      i too think it is very weird that New York would be so low on the chart
      may sound a bit silly of a possible explanation for why this may be
      but perhaps New yorkers are too busy to be heavily involved in social media.
      also perhaps some of the suprising places are so involved because there is not as much to do around that area so their attention is turned to the internet and other forms of communicating to pass the time.
      i m just glad my home town is high on the chart 🙂 haha

    • clarehiler 6:58 pm on March 21, 2011 Permalink | Reply

      Ha! What town is that? Being from New York myself, I think it’s because New Yorkers are so cynical about everything different, they typically aren’t the first ones to try something completely different and new that will take up, as you said, time!

    • kcreese 8:37 pm on March 21, 2011 Permalink | Reply

      haha Dallas! not the highest up there but a lot higher than i would have guessed!
      i would think that living in New York City would be so time consuming in itselfs….. seems like there would always be something to do rather than sit on a computer to read what other people are doing!

  • clarehiler 6:03 pm on March 17, 2011 Permalink | Reply
    Tags: , , Profits, Research, Study,   

    Mashable published an article yesterday releasing the results… 

    Mashable published an article yesterday releasing the results of a study by Eventbrite. The results show that a Facebook “like” is more profitable than a tweet.

    If event registration site Eventbrite’s experience is any indication, social media marketers looking for monetary returns on their efforts might get more value from Facebook than Twitter.

    The company announced Wednesday that an average tweet about an event drove 80 cents in ticket sales during the past six months, whereas an average Facebook Like drove $1.34.

    Some interesting points of notice from the research:

    • 40% of sharing through Facebook occurred on the event page, pre-purchase.
    • 60% of sharing occurred on the order of confirmation page, post purchase.
    • 1% of people who looked at an event page before purchasing a ticket share that event.
    • 10% of people who look at an event page after purchasing a ticket share that event.
    • A post purchase share on Facebook drive 20% more ticket sales per share than a pre purchase share.

    The study points out that their research indicates that motivation to share is higher and worth more once the purchase is made and the attendee is committed.

    Have you used Facebook to promote an event? Has it worked to your benefit?

  • clarehiler 8:02 pm on March 14, 2011 Permalink | Reply
    Tags: , , Recommendations, Research, Yahoo Labs, Yury Lifshits   

    The Like Log Study 

    Yury Lifshits has teamed up with Yahoo Labs for the The Like Log Study. This study look at what stories were being “liked” Facebook and why.

    He specifically looks at the top 40 “liked: articles where he found that “among top stories there are only four articles about factual political news and three about celebrities. The most common type of hit stories is opinion/analysis. Other common themes include: lifestyle, photo galleries, interactives, humor and odd news.”

    Overall here are his top 5 recommendations

    Put significant effort in your top stories.
    According to our study, most websites can capture 30% of their total enagement by publishing only ONE story per week! One story per day can capture 70-80% of your audience reactions. But we rarely see web journalists working weeks on a single story. Here are some examples of “big effort for big story”: events coverage (Oscars, Superbowl), nominations, awards and voting (Fast Company Influence Project, TIME Magazine Person of the Year readers choice), exclusives (Gizmodo iPhone 4 leak), celebrity Q&A (Obama at Youtube, Beckham at Yahoo! Sports), lists (Forbes Billionaires, Vanity Fair ‘Best Dressed’), high-quality infographic & interactives (Good Magazine Transparency blog, NYT ‘You Fix the Budget’), trends and predictions (Read Write Web), liveblogging from top events (Apple announcements), op-eds on most controversial issues. Yahoo! Labs have recently published a paper with detailed analysis of hit/niche balance of interests.

    Improve promotion of your best content.
    According to our measurements, web stories are practically lost 24 hours after publications. Only 20% likes are coming after the first day. This engagement pattern discourages production of “big stories”. To get maximum return on your hits, change your frontpage policy. Best stories should be highly visible. Consider hits-only RSS and twitter feeds, month-in-review / year-in-review programs. TechCrunch Classics is another example of hit promotion. And internal efforts are not enough. Breakout success comes when other media (top TV networks, newspapers and magazines) are picking your story and link back to it.

    Improve your median story.
    Sort all your stories by engagement and pick a story right in the middle of the list. This is called a “median”. A median story has less than 50 likes for majority of websites in our study. In other words, every second story takes more effort from a writer than it brings value to the readers. Recently leaked “The AOL Way” reports their median story to have only 1500 pageviews, and they aim to grow it four times. Publishers should ask themselves: Why do we write so many weak stories?

    Use both intuition and algorithms for demand analysis.
    Some say that best writing can only come from internal compass. Others are writing new articles in direct response to search queries. The key to success is likely somewhere in between. In ideal settings the writers have full control but they are equiped with great tools to navigate content demand. Up to this moment most demand tools were based on search data and internal metrics. The Like Log presented here is a new approach to demand analysis. Likes represent so called “interest graph”, the map of world interests. You can understand your readers better by using our engagement trends technology. And you can get insights into audience of your competitors, too.

    Invest in social media optimization.
    According to our numbers, you should get around 5-20 tweets and likes per 1000 pageviews. If you have less than that, your social distribution is suboptimal. Create different designs for sharing and subscription functionality and split-test them to find the optimal one. Also, make sure to have just one URL for every story and slideshow. Otherwise, your enagement numbers get scattered among article duplicates. Social networks are likely to be a bigger traffic driver in the future. Combining our data with Comscore, we see that average New York Times reader makes only ONE like per year. We expect this number to go up significantly.

    You can contact Yury Lifshits here: lifshits@yahoo-inc.com or on twitter @yurylifshits.

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