Talking Social TV 2. Ed Keller. Beth Rockwood. SVP, Discovery Communications & Chair, CRE Social Media Committee. CEO Keller Fay Group

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Transcription:

Talking Social TV 2 Beth Rockwood SVP, Discovery Communications & Chair, CRE Social Media Committee Ed Keller CEO Keller Fay Group

Study Objectives 1 2 3 Investigate the dynamics of TV-related social media usage The study measures all television-related contact points that consumers have during the course of a day with respect to primetime television shows Today s presentation focuses on one area of exploration How is social media used while watching, and by whom? SPONSOR RESEARCH PARTNER DATA COLLECTION

Study Methodology 1,665 respondents representative sample of the online population, ages 15-54. Respondents used a mobile app to report any time they saw, heard, or communicated something about primetime TV shows over the course of 21 days. Diaries dates: September 16 October 6, 2013. 78,310 diary entries about 1,596 shows. * Respondents were allowed to voluntarily continue on to October 31st. Data is not part of the main study and not presented here.

1-in-6 Viewing Occasions involve Social Media; ~HALF IS Related to Television NOTE: Show-Related SM is related to the specific program people were viewing; TV-Related SM is related to another primetime program. No SM Use SM Use While Viewing 83.9% 16.1% 1.0% 7.8% 7.3% Show-Related SM TV-Related SM Non-TV-Related SM Socially Connected Viewing Source: CRE Social Media and TV Mobile Diary Study September October 2013

Hispanics and 15-34s Likely to Engage in Social TV DEMOGRAPHIC DIFFERENCES SOCIALLY CONNECTED VIEWING Indexed to Total Hispanic Age 25-34 Age 15-24 Age 35-44 Men White/Other Total African American Women Age 45-54 Asian/Pac. Islander 4.4% 4.2% 7.5% 7.5% 7.3% 7.2% 7.2% 10.5% 9.6% 9.2% 8.6% 143 131 126 118 102 102 100 99 99 60 57 Source: CRE Social Media and TV Mobile Diary Study September October 2013

SM Usage by Social Network SOCIALLY CONNECTED VIEWING Any Social Media 7.3% Facebook 3.8% Twitter 1.8% Video SM Photo SM Other SM 0.4% 0.3% 0.8%

Facebook Reach Skews Female, Hispanic Twitter Skews Younger DEMOGRAPHIC PROFILE OF AVERAGE DAILY PERSON INTERACTING WITH TV VIA TOTAL ANY SOCIAL MEDIA FACEBOOK TWITTER GENDER AGE RACE/ ETHNICITY Male 47% 42% 39% 46% Female 53% 58% 61% 54% 15-24 22% 23% 22% 29% 25-34 23% 25% 25% 27% 35-44 24% 26% 27% 24% 45-54 31% 26% 26% 19% Median Age 36 Years 35 Years 35 Years 33 Years Hispanic 15% 20% 20% 15% African American 13% 14% 13% 14% Asian/Pacific Islander 5% 4% 4% 5%

Genres Most Influenced by SM: Specials, Sci-Fi Children Family Food 1% 2% Document ary Special Interest 2% Spanish Channel 2% Talk 3% SCI FI 4% Movies 5% % OF ALL GENRES VIEWED Special 1% Uncoded 15% Sports 9% Reality 18% Drama 20% Comedy 18% Special Sci Fi Sports Movies Reality Drama Total Children/Family Comedy Spanish Channel Doc. / Spec. Int. Food Talk SOCIALLY CONNECTED VIEWING, BY GENRE 11.1% 9.4% 8.4% 8.1% 7.9% 7.3% 6.9% 6.6% 5.3% 4.8% 4.8% 4.2% 15.5% Indexed to Total (7.3%) 212 152 129 114 111 109 100 94 91 73 66 65 57

Viewers of Newly Premiering Shows are the Most Socially Connected % OF SHOWS VIEWED SOCIALLY CONNECTED VIEWING Other Programs (NET) 37% Returning Shows (NET) 43% New Shows (NET) Returning Shows (NET) 7.4% 10.4% Indexed to Total (7.3%) 142 101 Sports 9% Newly Premiering Shows (NET) 11% Total 7.3% 100

-7-6 -5-4 -3-2 -1 Premiere +1 +2 +3 +4 +5 +6 +7 +8 +9 +10 +11 +12 +13 % Viewing SM Peaks at New Shows Premieres AVERAGE REACH FOR NEWLY PREMIERING SHOWS N=20 Newly Premiering Shows Note: SM items shown on a different scale. 8% 7% 6% 5% 4% 3% 2% 1% 0% 4.0% 3.5% 3.0% 2.5% 2.0% 1.5% 1.0% 0.5% 0.0% SM Reach Viewership Days +/- Premiere Any Social Media

-7-6 -5-4 -3-2 -1 Premiere +1 +2 +3 +4 +5 +6 +7 +8 +9 +10 +11 +12 +13 % Viewing SM Pattern Consistent for Returning Shows AVERAGE REACH FOR RETURNING SHOWS N=20 Returning Shows Note: SM items shown on a different scale. 8% 7% 6% 5% 4% 3% 2% 1% 0% 4.0% 3.5% 3.0% 2.5% 2.0% 1.5% 1.0% 0.5% 0.0% SM Reach Viewership Days +/- Premiere Any Social Media

Promos are the #1 Driver of Decisions to View New Shows I saw a commercial/promo on TV for it 39.7% It's a show I watch regularly 32.0% The person(s) I'm with wanted to watch the show It just came on the same channel after the last thing I watched It's a show I watch occasionally I was catching up to the current episode/season I flipped channels and came across it I saw a review or TV program talking about the show I saw something about the show on social media Somebody recommended it (face to face or over the phone) 12.1% 10.2% 9.0% 9.0% 8.9% 8.9% 6.8% 6.1% New Shows Returning Shows Note: Ranked by Total.

Promos are the #1 Driver of Decisions to View New Shows I saw a commercial/promo on TV for it It's a show I watch regularly The person(s) I'm with wanted to watch the show It just came on the same channel after the last thing I watched It's a show I watch occasionally I was catching up to the current episode/season I flipped channels and came across it I saw a review or TV program talking about the show I saw something about the show on social media Somebody recommended it (face to face or over the phone) 9.0% 12.1% 13.9% 10.2% 4.0% 9.0% 21.7% 9.0% 10.0% 8.9% 6.1% 8.9% 2.1% 6.8% 3.3% New Shows 6.1% 2.7% Returning Shows 32.0% 39.7% 70.3% Note: Ranked by Total.

And Much More from Talking Social TV 2 Social Media s influence on TV viewing: Daily and weekly SM reach How has Social TV changed since Spring 2012? Further detail By genre, demographics, etc. A deeper dive into new and returning shows Who are the Super Connectors? How is their behavior different from others? How have they changed since Spring 2012? Who are the Sports Super Connectors? How does time shifting, device usage, and binge viewing relate to Social TV? Academic modeling: SM s role in driving tune in