Skip to main content

Home/ Social TV and Film/ Group items tagged analytics shows Twitter

Rss Feed Group items tagged

Filter: All | Bookmarks | Topics Simple Middle
Carri Bugbee

Nielsen and Twitter Unveil Social TV Metrics, Showing How Little Tweets Line Up with Ra... - 0 views

variety.com/...ine-up-with-ratings-1200702169

nielsen social metrics variety socialTV social TV television TV analytics measurement ratings

shared by Carri Bugbee on 07 Oct 13 - No Cached
  • ne thing is immediately clear: There is practically no overlap between the most-tweeted shows on TV and the highest-rated shows.
  • Seen through a Twitter lens, the No. 1 television show for the week of Sept. 23 to 29 was AMC’s “Breaking Bad” by a mile, with 9.28 million people seeing tweets about the show’s finale — but the episode wasn’t even among the top 20 in total viewership for the period, according to Nielsen primetime ratings.
  • But the divergence between the top shows Americans actually watch on TV and what they talk about on Twitter illustrates that there is not a strong correlation, today, between the two mediums. Only one show, two airings of NBC’s “The Voice,” appear in both top 10 rankings.
  • ...3 more annotations...
  • the data shows the Twitter TV audience for an episode is, on average, 50 times larger than the authors who are generating tweets.
  • In its IPO filing, Twitter said the Nielsen Twitter TV Rating will “not directly generate revenue” but said, “we believe (it) will enhance our attractiveness to users and advertisers.”
  • Facebook, which has a total user base more than five times the size of Twitter’s, is playing catch-up to Twitter in trying to provide a similar guide for how social activity on its service relates to TV. Last week, Facebook began sharing weekly data about interactions among U.S. users for about 45 broadcast shows in primetime with ABC, CBS, Fox and NBC and a few other partners.
  • Carri Bugbee on 07 Oct 13
     
    There is practically no overlap between the most-tweeted shows on TV and the highest-rated shows.
Carri Bugbee

Tweets Provide New Way to Gauge TV Audiences - WSJ.com - 0 views

online.wsj.com/...702304171804579119342816300078

tweets nielsen socialguide television TV social TV socialTV analytics

shared by Carri Bugbee on 09 Oct 13 - No Cached
  • Twitter's 49.2 million U.S. users generally skew younger and are disproportionately in cities, for example, according to marketers and media analysts.
  • marketers see potential value in knowing which shows have Twitter enthusiasts. For some, it is becoming a factor when they purchase TV time: The theory is that if fans are engaged on Twitter that "means the ads are also being paid attention to,"
  • The stakes are high for Twitter, which is under the spotlight of an initial public offering of stock and has identified TV-related ad spending as a crucial revenue driver.
  • ...4 more annotations...
  • "If your show is creating conversations on Twitter, it is more valuable, and you should get credit for that," said Rachael Horwitz , a spokeswoman for Twitter, which provided information to Nielsen to help create the new Twitter TV ratings.
  • At an industry event in Beverly Hills this summer, CBS Chief Research Officer David Poltrack id "word of mouth" interactions about TV mostly still occur face to face, not on social media. He said that while Twitter's importance is growing and CBS is "immersing" itself in it, "right now it is focused on a small segment of the population."
  • Nielsen says the number of people tweeting about TV was 19 million in the second quarter, up 24% over the year-earlier period.
  • "We are a national company and our sales come from the suburban market more so than the metropolitan areas, where [Twitter's] strength lies," said Michael Zuna , chief marketing officer of the insurer.
  • Carri Bugbee on 09 Oct 13
     
    marketers see potential value in knowing which shows have Twitter enthusiasts. For some, it is becoming a factor when they purchase TV time:
Carri Bugbee

Why Twitter Paid $90 Million for Bluefin Labs - Dive Into Media - Mike Isaac - Dive Int... - 0 views

allthingsd.com/...-to-90-million-on-bluefin-labs

socialTV social TV Twitter Bluefin labs

shared by Carri Bugbee on 15 Feb 13 - No Cached
  • If you can take [our analytics service] and not just do it about [one event like] the Super Bowl but do it for all TV shows … now you have this comprehensive view into how TV is driving engagement.”
  • Bluefin drills down into specific moments on television, be they advertisements, actual shows or what have you. And Roy says it can grab a larger, more representative slice of the Twitter users tweeting about a specific moment than, say, a hashtag can (as many people may be talking about an event without using a hashtag).
  • Bluefin runs what’s called an affinity analysis, which lets the company figure out “preexisting affinities between TV program audiences and brands.” Moreover, Bluefin can flesh out a profile of a particular Twitter user tweeting in a specific moment, based on that person’s tweeting history.
Carri Bugbee

Twitter tied to ratings growth, finds new Nielsen-Social Guide study - Lost Remote - 0 views

lostremote.com/bout-tv-and-watching-tv_b37053

ratings analytics Twitter television social TV socialTV Nielsen

shared by Carri Bugbee on 21 Mar 13 - No Cached
  • Carri Bugbee on 21 Mar 13
     
    Nielsen - along with its new acquisition Social Guide - have released new data that shows a positive correlation between Twitter volume and TV ratings.
Carri Bugbee

Experts: Social Data Is Key to Measuring Television Success - 0 views

sproutsocial.com/...social-media-tv-metrics

socialTV social TV television TV Twitter measuring social data analytics advertising

shared by Carri Bugbee on 27 Nov 13 - No Cached
  • Seevibes created its own “Seevibes Score” — a composite score that consolidates data on market share, social impressions, loyalty levels, engagement rate, frequency, and level of response — to gauge how a show is performing socially. “The level of audience engagement with TV via social networks with television has surged by 500% year-after-year. This can make it difficult to compare broadcast numbers over time,” explains Maisonnave
  • “These social data points are giving us a new barometer for success or failure when we’re talking about engaging TV audiences,” says Youngling. “Content, both programmatic and advertorial, is now subject to an entirely new set of consumer-driven metrics. We talked about must-see TV back in the Seinfeld days, and now it’s evolving into the idea of must-comment TV.”
  • “Twitter didn’t have to train or persuade people to change their behavior,” says Bugbee of the network’s television chatter. “It just had to capitalize on what people were already doing. I think that’s why Twitter’s so powerful: it’s easy, it’s obvious, and it’s open.”
  • ...2 more annotations...
  • “There are calls to action in all sorts of programming that are encouraging people to get involved and continue the dialog with that programming,” says Youngling. “For brands, the data is really showing that it’s incredibly impactful and meaningful. When you give audiences the opportunity to interact, they will.”
  • “If shows don’t get good ratings they don’t stay on the air,” says Bugbee. “You see television encouraging social activity with hashtags on shows. Ostensibly, if I’m not watching Dancing with the Stars and I see a lot of posts from my friends who are talking about it, maybe I should tune in.”
Carri Bugbee

What You Need to Know About 'Social TV' Right Now | Commentary and analysis from Simon ... - 0 views

adage.com/...229845

TV Social socialtv Twitter Facebook analytics measurement

shared by Carri Bugbee on 24 Sep 11 - No Cached
  • Carri Bugbee on 24 Sep 11
     
    "Merely tracking the volume of buzz," said Bluefin Labs VP-Marketing and Business Development Tom Thai, "without a deeper analysis of other factors, is very rudimentary." What matters is context; once a show gets traction, what else can the viewers who are chattering about it tell us about their other preferences as consumers? "If you're a CMO for an automaker vs. wireless carrier vs. laundry detergent," said Mr. Thai, "your audiences and needs will be different. The key next step is marrying social-TV data about the shows with data about specific brands."
Carri Bugbee

An Algorithm Knows Who Liked the How I Met Your Mother Finale - Adrienne LaFrance - The... - 0 views

www.theatlantic.com/...361538

algorithm Canvs television social tv socialTV

shared by Carri Bugbee on 04 May 14 - No Cached
  • The Canvs analysis covered about 185,000 tweets, just a portion of the half-a-million tweets that Canvs identified as being related to the finale. The platform only analyzes tweets it is sure it can interpret accurately, founder and CEO Jared Feldman told me. <div><a href="http://pubads.g.doubleclick.net/gampad/jump?iu=%2F4624%2FTheAtlanticOnline%2Fchannel_technology&t=src%3Dblog%26by%3Dadrienne-lafrance%26title%3Dan-algorithm-knows-who-liked-the-em-how-i-met-your-mother-em-finale%26pos%3Din-article&sz=300x185&c=72813788&tile=3" title=""><img src="http://pubads.g.doubleclick.net/gampad/ad?iu=%2F4624%2FTheAtlanticOnline%2Fchannel_technology&t=src%3Dblog%26by%3Dadrienne-lafrance%26title%3Dan-algorithm-knows-who-liked-the-em-how-i-met-your-mother-em-finale%26pos%3Din-article&sz=300x185&c=72813788&tile=3" alt="" /></a></div>
  • An algorithm might recognize the word "enjoy" in a tweet that says, I really didn't enjoy the How I Met Your Mother finale, without realizing that the tweet isn't ultimately positive. You can teach a computer to recognize the "didn't" before "enjoy," but that doesn't go far enough, either.
  • The way that 12-year-olds talk about loving Justin Bieber? There's no dictionary on the planet that captures that."
  • ...4 more annotations...
  • Canvs uses an algorithm built on years of more nuanced human analysis known as "supervised sentiment analysis" in the industry. The result, Feldman says, is real-time conclusions at a level of sophistication that previously would have taken hours
  • Canvs reviews months of backdata—what you've tweeted, who you follow, where you're tweeting from—to deduce personal information like a viewer's age, gender, ethnicity, income levels, interests, brand loyalty, and so on.
  • Combine those clues with geolocation, gender, and age data, and Feldman says Canvs can confidently guess someone's income bracket. (These data subsets are smaller than the original 117,000-person cohort because specific information like location and gender aren't available for everyone.)
  • For advertisers, there's a reverse-engineering component to using this kind of data, too. Here's how Feldman puts it: "If I'm McDonald's, it'd be fantastic to know: The people who already care about me, what shows are they obsessed with?" 
1 - 9 of 9
Showing 20▼ items per page