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PeopleBrowsr Super Bowl Deck

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SuperBowl Twitter Brand Analytics by PeopleBrowsr and O'Reilly

SuperBowl Twitter Brand Analytics by PeopleBrowsr and O'Reilly

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  • Note higher scale for Tweet trends chart for Doritos and Bud Light (20K vs 5K for other brands)
  • Note different scale from first slide (5K tweets vs 20K tweets) – far fewer tweets than Doritos and Bud Light
  • Note different scale from first slide (5K tweets vs 20K tweets) – far fewer tweets than Doritos and Bud Light
  • Note different scale from first slide (5K tweets vs 20K tweets) – far fewer tweets than Doritos and Bud Light
  • Note different scale from first slide (5K tweets vs 20K tweets) – far fewer tweets than Doritos and Bud Light
  • Transcript

    • 1. Intelligent Stream Mining and Strategic Response Solutions “ Real-time Internet conversations occur on many platforms from blogs to social media sites and new web superstars like Twitter. Tools that you have used in the past, like Google or their email alerts, cannot keep pace with these conversations.”
    • 2. Inside PeopleBrowsr
      • Deep Twitter Archive
      • FILTER Tweets, BIOs, Location
      • API access for large scale campaigns
    • 3. Our Core Strategy Build Web Apps and Services that look into the Data Mine: Live Data Mine of Conversations and Mentions Social Search Engagement Work Flow Real Time & Historical Analysis
    • 4. Problems we Solve:
      • How do Traditional Channels effect Social Media
      • Viral Sentiment and Customer Service Issues
      • How do we influence the Conversation
      • Filter High Velocity Streams for Actionable Messages
      • How to build an engaged Audience
      • Converting Social Media into Sales
      • Calculating ROI
    • 5. 2010 SuperBowl
      • Analytics:
        • Effect of Traditional Media on Social Media
        • Mechanical Turk to measure accurate Sentiment
        • Metrics to measure Success:
          • Total Mentions
          • Positive Mentions
      By Volume Mullen and Radian6
    • 6. SuperBowl
      • Stats:
        • 103,158 Total Mentions
        • Sampled 1000 Tweets from Every Brand and used Mechanical Turk Human Sentiment to analyse
        • Polarised:
          • 50% Positive
          • 28% Neg
          • 18% Neutral
    • 7. SuperBowl
        • Positive Sentiment Chart
    • 8. SuperBowl
        • Positive Sentiment Chart
    • 9. SuperBowl
    • 10. SuperBowl
    • 11. SuperBowl
    • 12. SuperBowl
    • 13. SuperBowl
    • 14. O’Reilly and PeopleBrowsr Analysis:
    • 15. Correlation of Tweets and Ads
    • 16. Doritos and Bud Light ran a series of themed ads Doritos ran more ads and received more positive sentiment tweets
    • 17. Top Brands – By Sentiment
      • Google and Snickers had most positive sentiment
        • Both show a longer tail of tweet interest
    • 18. Low Sentiment Brands
      • Pre-game controversy for Focus on the Family ad
        • Fewer tweets than other brands in study
      • GoDaddy ran racy ads
    • 19. No Sentiment Brands
      • Coca Cola and Budweiser generated more neutral sentiment than other brands
    • 20. Korean Cars
        • Kia generated more tweet volume while running fewer ads
    • 21. SuperBowl By Volume Mullen and Radian6 O’Reilly and PeopleBrowsr O’Reilly and PeopleBrowsr By Volume By Positive
    • 22. Intelligent Stream Mining and Strategic Response Solutions Contact me [email_address] if you would like to see the SuperBowl Brand Tweets

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