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Lisa Cowie
Agency Research - EMEA
Twitter
@LisCowie
José Arteaga
Digital Designer
Social@Ogilvy
@Jart262
Rob Davis
Executive Director, Advanced
Video Practice at Ogilvy
@RobertJohnDavis
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Online video :
discovery, interaction and sharing
A research partnership between Twitter and Ogilvy & Mather, conducted by TNS
August 2016
3 key questions
How do people
discover and consume
online videos?
1
What are the drivers
for a video to achieve
high reach through
sharing?
2
How is Twitter
uniquely positioned to
encourage video
sharing?
3
METHODOLOGY

BEHAVIORAL ANALYSIS
QUANTITATIVE SURVEY
PARTNERSHIP WITH TNS UTILIZING THEIR UNIQUE ANALYTIC TOOLS AND EXPERTISE FOR
BEHAVIOURAL ANALYSIS AND QUANT EXPLORATIONS
2. Videos categorised
across videographic
dimensions, e.g. length,
emotion, subject
content
3. Video performance
assessed across criteria,
e.g. reach, engagement,
shares (Retweets)

4. Diffusion of videos
plotted to understand
life cycle in terms of
Retweets and views
over time

5. Baysian modeling
exercise to isolate the
important drivers of
success for videos

1. 66 English language
videos chosen (ranging in
success regarding total
reach/views) generating
total of 4.2M mentions
1. Quantitative online
survey exploring online
video consumption,
sharing behaviours and
motivations.
2. Survey conducted
among 18-49 year-olds in
the UK and the US (total
sample 2,002)
HIGH REACH HIGH INVOLVEMENT
+
THE DEFINITION OF SUCCESS

SUCCESS IN THE CONTEXT OF THIS STUDY WAS DEFINED AS A VIDEO GENERATING LARGE REACH
AND A STRONG RATIO OF RETWEETS WITH COMMENTS (INVOLVEMENT)
SUCCESSFUL VIDEO
=
VIDEO DISCOVERY & INTERACTION
20%24%
33%35%
43%44%
49%
SOCIAL NEWS-FEEDS DRIVE MOBILE VIDEO DISCOVERY

GENERAL BROWSING IS KEY FOR VIDEO DISCOVERY, THOUGH SOCIAL NEWS-FEEDS HAVE GREATER
IMPACT ON MOBILE DISCOVERY
BROWSING SOCIAL
NEWSFEEDS
FRIENDS/FAMILY SPECIFIC PEOPLE
FOLLOWED
SEEING RELATED
VIDEOS
SPECIFIC SEARCH
(E.G. HASHTAG)
TOP TRENDING
VIDEOS
Discovery method
when MOBILE IS
PRIMARY device for
viewing
more important for mobile
Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
HASHTAGS DRIVE THE QUEST FOR MORE CONTENT

THEY ARE A USEFUL MECHANISM FOR ENCOURAGING SUBSEQUENT VIEWING OF RELATED CONTENT 

WHO DISCOVER A VIDEO
BY A HASHTAG
REGULARLY SEARCH FOR
SIMILAR/RELATED
CONTENT AFTER
WATCHING
63%
Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
VS. 42% 

AMONG VIEWERS GENERALLY
(AVERAGE OF ALL METHODS OF
DISCOVERY)
OF ONLINE
VIDEO VIEWERS
AUTOPLAY IS AS IMPORTANT AS FRIEND
RECOMMENDATIONS FOR CONVENIENCE OF VIEWING 

16%
17%
19%
22%
26%
26% Autoplaying videos
Videos shared by friends
Top trending videos
Sponsored videos in timeline
Videos shared by celebs/influencers
Videos with hashtag
% who selected each of the following for making videos more convenient to watch
Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
+54%
MORE LIKELY TO AGREE

AUTOPLAY 

IMPROVES CHANCES OF BEING
FIRST
TO SEE SOMETHING
IF MOBILE IS THE PRIMARY
DEVICE USED TO WATCH VIDEOS
THEN VIEWERS ARE
45% 

FREQUENTLY** LIKE
VIDEO CONTENT THEY
WATCH 

RISING TO 57%
AMONG TWITTER
USERS
ONLINE VIDEO PROVOKES ENGAGEMENT

2 IN 3 REGULARLY TAKE ACTION* AFTER VIEWING A VIDEO
28%
FREQUENTLY** SHARE
CONTENT THEY
WATCH 

RISING TO 40%
AMONG TWITTER
USERS
**FREQUENTLY = TOP-2 BOX (‘ALL THE TIME’ + ‘FREQUENTLY’)

*NET.. E.G. LIKE, COMMENT, SHARE, REPLY, TALK TO SOMEONE

Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
OF ONLINE VIDEO VIEWERS OF ONLINE VIDEO VIEWERS
Television Online video
41%36%
31%
35%
8%12%
All the time
Frequently
Sometimes
% who state they talk about TV / online video with others
ONLINE VIDEO IS TALKED ABOUT ALMOST AS MUCH AS TV

4 IN 10 REGULARLY TALK TO OTHERS ABOUT ONLINE VIDEO
87% 80%
Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
DRIVERS OF SHARING
THE POWER OF ‘SECOND-WAVE’ INFLUENCERS
MOTIVATING A SECONDARY LAYER OF INFLUENCERS IS VITAL IF A VIDEO IS TO GAIN SIGNIFICANT
REACH
*Top percentile for widespread reach and high involvement
90%
of videos that
motivated a second-
wave were
successful*
20%
of videos tested
motivated a
second-wave of
influencers
Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
SECOND-WAVE INFLUENCERS HAVE A CATALYSING IMPACT 

THESE SECONDARY RETWEETERS MAKE THE VIDEO LIVE LONGER AND GO FURTHER 

599 Tweets per hour
(180 hours)
21,577 Tweets per hour
(5 hours)
8,990 Tweets per hour
(12 hours)
23 Tweets per hour
(4,637 hours)
Video has initial burst of viewing
(as indicated by green area)
generated by an influencer
(black area - someone with
ability to reach users at scale)
Original post
Areas of Retweeting
Views
A second-wave of influencers
Retweet the video (black areas)
and the diffusion of viewing
starts to spread further
extending the reach of the video
In a short space of time (12
hours) the second-wave of
influencers spur on a huge
increase in views and also
influence their networks to
Retweet (black areas)
Once that diffusion happened,
the video had essentially
peaked and saw very little
further Retweeting or viewing so
the graphic looks virtually the
same
Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
An example of a four-stage diffusion pattern showing a video spreading as a result of sharing
-20%
3%5%
11%
17%17%
23%
29%
40%40%
78%
SECOND-WAVE INFLUENCERS HAVE KEY MOTIVATIONS FOR
SHARING

TO SHOW
APPRECI-ATION
DIRECT
OTHERS TO
CONTENT
GIVE
OPINION/
REACTION
PROMOTE A CAUSE/
HELP OTHERS
GET
OPINION
OF OTHERS
DEMONSTRATE
PASSION/KNOWLEDGE
SAY
SOMETHING
ABOUT MYSELF
BE PART OF
ONGOING
DISCUSSION
IT’S TOPICAL
/ POPULAR
TO INITIATE NEW
DISCUSSION
OTHERS
MIGHT FIND IT
FUNNY
-20%
Second-wave influencer motivations % UPLIFT vs. ave online video viewer
Drivers are to be part of / drive the
conversation and to
be connected to what’s happening
Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
RETWEETING WITH A COMMENT IS KEY FOR IGNITING VIDEO
SUCCESS

IF VIEWERS ARE COMPELLED TO COMMENT WHEN THEY SHARE THEN VIDEOS ARE MORE LIKELY TO
SPREAD FURTHER
84%
OF VIDEOS ACHIEVING A HIGH
RATIO OF SHARES WITH A
COMMENT GAIN MORE

WIDESPREAD REACH AND
SUSTAINED MOMENTUM 

(THAN THOSE SHARED
WITHOUT COMMENT)
60%
ARE MOTIVATED TO SHARE
VIDEOS SO THEY CAN PASS ON
THEIR OWN POINT OF VIEW / SAY
SOMETHING ABOUT THEMSELVES
77%
AMONG THE MOST INFLUENTIAL*
VIEWERS
*HAVE 500+ CONNECTIONS ON AT LEAST ONE
SOCIAL PLATFORM
RISING TO…
OF ONLINE VIDEO VIEWERS
Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
MOBILE VIEWING GENERATES MORE USER ENGAGEMENT 

PEOPLE ARE +42% MORE LIKELY TO MAKE A COMMENT ON A VIDEO WHEN ACCESSING IT VIA A MOBILE
DEVICE, RATHER THAN A LAPTOP OR DESKTOP COMPUTER
MOBILE / TABLETLAPTOP / DESKTOP
59%
27%
19%
51%
make a comment every
now and again
32%
32%
make a comment always /
frequently
+42%
% who say they comment on online videos, by device
Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
‘IN THE MOMENT’ IS KEY FOR DRIVING SHARES AND REACH

VIDEOS THAT CAPTURED A MOMENT IN TIME DROVE THE MOST RETWEETS
IN THE MOMENT:

DEFINED AS VIDEOS THAT WERE
ABLE TO CAPTURE A
COMPELLING MOMENT IN TIME



E.G. 

1. THE MOMENT AN ARTIST
WINS A BRIT OR GRAMMY 

2. A SNOW DAY AND SCHOOLS
SHUT-DOWN
OF VIDEOS TESTED THAT CENTERED ON
A RELATABLE MOMENT IN TIME WERE
SUCCESSFUL
92%
OF THE VIDEOS TESTED WERE
CENTERED ON A MOMENT IN TIME
1 IN 5
WHILST ONLY…
Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
TWITTER IS A SHARING TRIGGER
6%
31%
31%
38%
56%
TWITTER USERS START CONVERSATIONS

TWITTER USERS ARE MORE LIKELY TO COMMENT ON VIDEOS TO INITIATE DISCUSSIONS
Twitter users 

comment on videos 

to initiate a new
discussion/debate
1 in 4
Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
% UPLIFT vs. ave online video viewer
Platforms represented by daily users
58%
67%
67%
70%
72% TWITTER USERS COMMENT 

ON VIDEOS TO…

1. EXPRESS OPINIONS

2. SHOW APPRECIATION

3. MAKE OTHERS SMILE/LAUGH

% who make a comment about video online: always / frequently
TWITTER USERS ARE VOCAL WITH OPINIONS

TWITTER HAS THE HIGHEST CONCENTRATION OF USERS WHO REGULARLY ENGAGE WITH CONTENT 

Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
Platforms represented by daily users
TWITTER USERS ARE

+28% 

MORE LIKELY TO TALK ABOUT VIDEOS
THEY’VE WATCHED WITH OTHERS 

VS. AVG ONLINE VIDEO VIEWER

Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
TURNING INSIGHT INTO
ACTIONABLE LEVERS FOR
VIDEO SUCCESS
TACTICS FOR DRIVING SHARABILITY

1
2
3
ENCOURAGE ACTIVE INVOLVEMENT, THINK BEYOND A VIEW AND A SHARE
UNDERSTAND THE NETWORK POTENTIAL OF INFLUENCERS AND THEIR ABILITY TO DRIVE A SECOND-
WAVE
APPEAL TO THE MOTIVATIONS OF INFLUENTIAL PEOPLE WITH LARGE AUDIENCES WHO ARE LIKELY TO SHARE
4
5 MAKE CONTENT EASY TO DISCOVER AND DON’T UNDERESTIMATE POWER OF SOCIAL NEWS-FEEDS
UTILIZE RELATABLE MOMENTS WITH TIME-SPECIFIC CONTENT
END
APPENDIX
0
250
500
750
1000
0 125 250 375 500
IT’S RARE FOR VIDEOS TO ACHIEVE HIGH REACH AND
INVOLVEMENT

Source | Video Virality, TNS behavioural analytics, May 2016, US & UK
Reach
Involvement (Retweet with comment)
High reach,
high involvement
0
250
500
750
1000
0 125 250 375 500
JOHN LEWIS ‘MAN ON THE MOON’ 

GOOD REACH, GOOD INVOLVEMENT

Source | Video Virality, TNS behavioural analytics, May 2016, US & UK
Reach
Involvement (Retweet with comment)
0
250
500
750
1000
0 125 250 375 500
Source | Video Virality, TNS behavioural analytics, May 2016, US & UK
Reach
Involvement (Retweet with comment)
GAME OF THRONES TRAILER

LOWER REACH, HEAVY INVOLVEMENT
0
250
500
750
1000
0 125 250 375 500
Source | Video Virality, TNS behavioural analytics, May 2016, US & UK
Reach
Involvement (Retweet with comment)
#WHATDIDZOEYSAY

HUGE REACH, LOWER INVOLVEMENT
ATTENTION NEEDS TO BE EARNED 

ONLY HALF ALWAYS/MOSTLY GIVE VIDEOS THEIR FULL ATTENTION.. BUT THIS DOES NOT DIFFER TOO
MUCH TO THE ATTENTION GIVEN TO TV
All the time Frequently Every now and again Hardly ever Never
9%
43%
41%
6%
1%
10%
48%
30%
9%
2%
Source | Video Virality, TNS behavioural analytics, May 2016, US & UK
ONLINE VIDEO TELEVISION
HIGH VIEW COUNTS DRIVE CURIOSITY

A VIDEO THAT ALREADY HAS A LOT OF VIEWS MEANS VIEWERS ARE INTRIGUED TO SEE WHAT IT’S ALL
ABOUT
50%
AGREE THAT A VIDEO WITH
LOTS OF VIEWS MAKES THEM
MORE 

CURIOUS TO WATCH
RISING TO…
59% AMONG TWITTER USERS 

(DAILY ACTIVE USERS)
56% AMONG 18-24 YEAR-OLDS

63% AMONG USERS WITH
BIGGEST NETWORKS

(500+ FOLLOWERS)
ONLY 18% 

DISAGREE
Source | Video Virality, TNS behavioural analytics, May 2016, US & UK
OF ONLINE
VIDEO VIEWERS
2 IN 3 REGULARLY TAKE ACTION AFTER WATCHING VIDEO

Talk about it with others
Check out suggested/related videos
Search for a similar topic/video
Like it online
Check out a product/brand featured in video
Share video on same site/app
Share video on a different site/app
Make a comment about it online
Share it using a hashtag 20%
32%
32%
33%
35%
32%
36%
37%
41%
12%
17%
17%
21%
22%
34%
33%
34%
31%
5%
5%
6%
7%
6%
11%
9%
8%
8%
All the time Frequently Every now and again
TALKING WITH OTHERS IS
MOST WIDESPREAD

BUT LIKING AND CHECKING
OUT RELATED CONTENT IS
MOST FREQUENT
Questions?
Lisa Cowie
Agency Research - EMEA
Twitter
@LisCowie
José Arteaga
Digital Designer
Social@Ogilvy
@Jart262
Rob Davis
Executive Director, Advanced
Video Practice at Ogilvy
@RobertJohnDavis

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The Power of Second Wave Influencers

  • 1. The webinar will start shortly… Thanks for joining us today!
  • 2. Hello! Lisa Cowie Agency Research - EMEA Twitter @LisCowie José Arteaga Digital Designer Social@Ogilvy @Jart262 Rob Davis Executive Director, Advanced Video Practice at Ogilvy @RobertJohnDavis
  • 3. Tell us where you’re dialing in from!
  • 4. It will be available shortly on our blog! http://www.ogilvydo.com/category/events/webinars/ Ogilvy staff: It’s also on The Market! https://app2.crowdbase.com/o/ogilvy Are you on the go? You can join our webinars on mobile, too! Download from the App Store or Google Play Want this deck?
  • 5. Online video : discovery, interaction and sharing A research partnership between Twitter and Ogilvy & Mather, conducted by TNS August 2016
  • 6. 3 key questions How do people discover and consume online videos? 1 What are the drivers for a video to achieve high reach through sharing? 2 How is Twitter uniquely positioned to encourage video sharing? 3
  • 7. METHODOLOGY BEHAVIORAL ANALYSIS QUANTITATIVE SURVEY PARTNERSHIP WITH TNS UTILIZING THEIR UNIQUE ANALYTIC TOOLS AND EXPERTISE FOR BEHAVIOURAL ANALYSIS AND QUANT EXPLORATIONS 2. Videos categorised across videographic dimensions, e.g. length, emotion, subject content 3. Video performance assessed across criteria, e.g. reach, engagement, shares (Retweets) 4. Diffusion of videos plotted to understand life cycle in terms of Retweets and views over time 5. Baysian modeling exercise to isolate the important drivers of success for videos 1. 66 English language videos chosen (ranging in success regarding total reach/views) generating total of 4.2M mentions 1. Quantitative online survey exploring online video consumption, sharing behaviours and motivations. 2. Survey conducted among 18-49 year-olds in the UK and the US (total sample 2,002)
  • 8. HIGH REACH HIGH INVOLVEMENT + THE DEFINITION OF SUCCESS SUCCESS IN THE CONTEXT OF THIS STUDY WAS DEFINED AS A VIDEO GENERATING LARGE REACH AND A STRONG RATIO OF RETWEETS WITH COMMENTS (INVOLVEMENT) SUCCESSFUL VIDEO =
  • 9. VIDEO DISCOVERY & INTERACTION
  • 10. 20%24% 33%35% 43%44% 49% SOCIAL NEWS-FEEDS DRIVE MOBILE VIDEO DISCOVERY GENERAL BROWSING IS KEY FOR VIDEO DISCOVERY, THOUGH SOCIAL NEWS-FEEDS HAVE GREATER IMPACT ON MOBILE DISCOVERY BROWSING SOCIAL NEWSFEEDS FRIENDS/FAMILY SPECIFIC PEOPLE FOLLOWED SEEING RELATED VIDEOS SPECIFIC SEARCH (E.G. HASHTAG) TOP TRENDING VIDEOS Discovery method when MOBILE IS PRIMARY device for viewing more important for mobile Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
  • 11. HASHTAGS DRIVE THE QUEST FOR MORE CONTENT THEY ARE A USEFUL MECHANISM FOR ENCOURAGING SUBSEQUENT VIEWING OF RELATED CONTENT WHO DISCOVER A VIDEO BY A HASHTAG REGULARLY SEARCH FOR SIMILAR/RELATED CONTENT AFTER WATCHING 63% Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002 VS. 42% AMONG VIEWERS GENERALLY (AVERAGE OF ALL METHODS OF DISCOVERY) OF ONLINE VIDEO VIEWERS
  • 12. AUTOPLAY IS AS IMPORTANT AS FRIEND RECOMMENDATIONS FOR CONVENIENCE OF VIEWING 16% 17% 19% 22% 26% 26% Autoplaying videos Videos shared by friends Top trending videos Sponsored videos in timeline Videos shared by celebs/influencers Videos with hashtag % who selected each of the following for making videos more convenient to watch Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002 +54% MORE LIKELY TO AGREE AUTOPLAY IMPROVES CHANCES OF BEING FIRST TO SEE SOMETHING IF MOBILE IS THE PRIMARY DEVICE USED TO WATCH VIDEOS THEN VIEWERS ARE
  • 13. 45% FREQUENTLY** LIKE VIDEO CONTENT THEY WATCH RISING TO 57% AMONG TWITTER USERS ONLINE VIDEO PROVOKES ENGAGEMENT 2 IN 3 REGULARLY TAKE ACTION* AFTER VIEWING A VIDEO 28% FREQUENTLY** SHARE CONTENT THEY WATCH RISING TO 40% AMONG TWITTER USERS **FREQUENTLY = TOP-2 BOX (‘ALL THE TIME’ + ‘FREQUENTLY’) *NET.. E.G. LIKE, COMMENT, SHARE, REPLY, TALK TO SOMEONE Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002 OF ONLINE VIDEO VIEWERS OF ONLINE VIDEO VIEWERS
  • 14. Television Online video 41%36% 31% 35% 8%12% All the time Frequently Sometimes % who state they talk about TV / online video with others ONLINE VIDEO IS TALKED ABOUT ALMOST AS MUCH AS TV 4 IN 10 REGULARLY TALK TO OTHERS ABOUT ONLINE VIDEO 87% 80% Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
  • 16. THE POWER OF ‘SECOND-WAVE’ INFLUENCERS MOTIVATING A SECONDARY LAYER OF INFLUENCERS IS VITAL IF A VIDEO IS TO GAIN SIGNIFICANT REACH *Top percentile for widespread reach and high involvement 90% of videos that motivated a second- wave were successful* 20% of videos tested motivated a second-wave of influencers Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
  • 17. SECOND-WAVE INFLUENCERS HAVE A CATALYSING IMPACT THESE SECONDARY RETWEETERS MAKE THE VIDEO LIVE LONGER AND GO FURTHER 599 Tweets per hour (180 hours) 21,577 Tweets per hour (5 hours) 8,990 Tweets per hour (12 hours) 23 Tweets per hour (4,637 hours) Video has initial burst of viewing (as indicated by green area) generated by an influencer (black area - someone with ability to reach users at scale) Original post Areas of Retweeting Views A second-wave of influencers Retweet the video (black areas) and the diffusion of viewing starts to spread further extending the reach of the video In a short space of time (12 hours) the second-wave of influencers spur on a huge increase in views and also influence their networks to Retweet (black areas) Once that diffusion happened, the video had essentially peaked and saw very little further Retweeting or viewing so the graphic looks virtually the same Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002 An example of a four-stage diffusion pattern showing a video spreading as a result of sharing
  • 18. -20% 3%5% 11% 17%17% 23% 29% 40%40% 78% SECOND-WAVE INFLUENCERS HAVE KEY MOTIVATIONS FOR SHARING TO SHOW APPRECI-ATION DIRECT OTHERS TO CONTENT GIVE OPINION/ REACTION PROMOTE A CAUSE/ HELP OTHERS GET OPINION OF OTHERS DEMONSTRATE PASSION/KNOWLEDGE SAY SOMETHING ABOUT MYSELF BE PART OF ONGOING DISCUSSION IT’S TOPICAL / POPULAR TO INITIATE NEW DISCUSSION OTHERS MIGHT FIND IT FUNNY -20% Second-wave influencer motivations % UPLIFT vs. ave online video viewer Drivers are to be part of / drive the conversation and to be connected to what’s happening Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
  • 19. RETWEETING WITH A COMMENT IS KEY FOR IGNITING VIDEO SUCCESS IF VIEWERS ARE COMPELLED TO COMMENT WHEN THEY SHARE THEN VIDEOS ARE MORE LIKELY TO SPREAD FURTHER 84% OF VIDEOS ACHIEVING A HIGH RATIO OF SHARES WITH A COMMENT GAIN MORE WIDESPREAD REACH AND SUSTAINED MOMENTUM (THAN THOSE SHARED WITHOUT COMMENT) 60% ARE MOTIVATED TO SHARE VIDEOS SO THEY CAN PASS ON THEIR OWN POINT OF VIEW / SAY SOMETHING ABOUT THEMSELVES 77% AMONG THE MOST INFLUENTIAL* VIEWERS *HAVE 500+ CONNECTIONS ON AT LEAST ONE SOCIAL PLATFORM RISING TO… OF ONLINE VIDEO VIEWERS Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
  • 20. MOBILE VIEWING GENERATES MORE USER ENGAGEMENT PEOPLE ARE +42% MORE LIKELY TO MAKE A COMMENT ON A VIDEO WHEN ACCESSING IT VIA A MOBILE DEVICE, RATHER THAN A LAPTOP OR DESKTOP COMPUTER MOBILE / TABLETLAPTOP / DESKTOP 59% 27% 19% 51% make a comment every now and again 32% 32% make a comment always / frequently +42% % who say they comment on online videos, by device Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
  • 21. ‘IN THE MOMENT’ IS KEY FOR DRIVING SHARES AND REACH VIDEOS THAT CAPTURED A MOMENT IN TIME DROVE THE MOST RETWEETS IN THE MOMENT: DEFINED AS VIDEOS THAT WERE ABLE TO CAPTURE A COMPELLING MOMENT IN TIME E.G. 1. THE MOMENT AN ARTIST WINS A BRIT OR GRAMMY 2. A SNOW DAY AND SCHOOLS SHUT-DOWN OF VIDEOS TESTED THAT CENTERED ON A RELATABLE MOMENT IN TIME WERE SUCCESSFUL 92% OF THE VIDEOS TESTED WERE CENTERED ON A MOMENT IN TIME 1 IN 5 WHILST ONLY… Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
  • 22. TWITTER IS A SHARING TRIGGER
  • 23. 6% 31% 31% 38% 56% TWITTER USERS START CONVERSATIONS TWITTER USERS ARE MORE LIKELY TO COMMENT ON VIDEOS TO INITIATE DISCUSSIONS Twitter users comment on videos to initiate a new discussion/debate 1 in 4 Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002 % UPLIFT vs. ave online video viewer Platforms represented by daily users
  • 24. 58% 67% 67% 70% 72% TWITTER USERS COMMENT ON VIDEOS TO… 1. EXPRESS OPINIONS 2. SHOW APPRECIATION 3. MAKE OTHERS SMILE/LAUGH % who make a comment about video online: always / frequently TWITTER USERS ARE VOCAL WITH OPINIONS TWITTER HAS THE HIGHEST CONCENTRATION OF USERS WHO REGULARLY ENGAGE WITH CONTENT Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002 Platforms represented by daily users
  • 25. TWITTER USERS ARE +28% MORE LIKELY TO TALK ABOUT VIDEOS THEY’VE WATCHED WITH OTHERS VS. AVG ONLINE VIDEO VIEWER Source | Video Discovery & Sharing; Twitter and Ogilvy & Mather; TNS behavioural analytics & quant survey, May 2016, US & UK, n=2002
  • 26. TURNING INSIGHT INTO ACTIONABLE LEVERS FOR VIDEO SUCCESS
  • 27. TACTICS FOR DRIVING SHARABILITY 1 2 3 ENCOURAGE ACTIVE INVOLVEMENT, THINK BEYOND A VIEW AND A SHARE UNDERSTAND THE NETWORK POTENTIAL OF INFLUENCERS AND THEIR ABILITY TO DRIVE A SECOND- WAVE APPEAL TO THE MOTIVATIONS OF INFLUENTIAL PEOPLE WITH LARGE AUDIENCES WHO ARE LIKELY TO SHARE 4 5 MAKE CONTENT EASY TO DISCOVER AND DON’T UNDERESTIMATE POWER OF SOCIAL NEWS-FEEDS UTILIZE RELATABLE MOMENTS WITH TIME-SPECIFIC CONTENT
  • 28. END
  • 30. 0 250 500 750 1000 0 125 250 375 500 IT’S RARE FOR VIDEOS TO ACHIEVE HIGH REACH AND INVOLVEMENT Source | Video Virality, TNS behavioural analytics, May 2016, US & UK Reach Involvement (Retweet with comment) High reach, high involvement
  • 31. 0 250 500 750 1000 0 125 250 375 500 JOHN LEWIS ‘MAN ON THE MOON’ GOOD REACH, GOOD INVOLVEMENT Source | Video Virality, TNS behavioural analytics, May 2016, US & UK Reach Involvement (Retweet with comment)
  • 32. 0 250 500 750 1000 0 125 250 375 500 Source | Video Virality, TNS behavioural analytics, May 2016, US & UK Reach Involvement (Retweet with comment) GAME OF THRONES TRAILER LOWER REACH, HEAVY INVOLVEMENT
  • 33. 0 250 500 750 1000 0 125 250 375 500 Source | Video Virality, TNS behavioural analytics, May 2016, US & UK Reach Involvement (Retweet with comment) #WHATDIDZOEYSAY HUGE REACH, LOWER INVOLVEMENT
  • 34. ATTENTION NEEDS TO BE EARNED ONLY HALF ALWAYS/MOSTLY GIVE VIDEOS THEIR FULL ATTENTION.. BUT THIS DOES NOT DIFFER TOO MUCH TO THE ATTENTION GIVEN TO TV All the time Frequently Every now and again Hardly ever Never 9% 43% 41% 6% 1% 10% 48% 30% 9% 2% Source | Video Virality, TNS behavioural analytics, May 2016, US & UK ONLINE VIDEO TELEVISION
  • 35. HIGH VIEW COUNTS DRIVE CURIOSITY A VIDEO THAT ALREADY HAS A LOT OF VIEWS MEANS VIEWERS ARE INTRIGUED TO SEE WHAT IT’S ALL ABOUT 50% AGREE THAT A VIDEO WITH LOTS OF VIEWS MAKES THEM MORE CURIOUS TO WATCH RISING TO… 59% AMONG TWITTER USERS (DAILY ACTIVE USERS) 56% AMONG 18-24 YEAR-OLDS 63% AMONG USERS WITH BIGGEST NETWORKS (500+ FOLLOWERS) ONLY 18% DISAGREE Source | Video Virality, TNS behavioural analytics, May 2016, US & UK OF ONLINE VIDEO VIEWERS
  • 36. 2 IN 3 REGULARLY TAKE ACTION AFTER WATCHING VIDEO Talk about it with others Check out suggested/related videos Search for a similar topic/video Like it online Check out a product/brand featured in video Share video on same site/app Share video on a different site/app Make a comment about it online Share it using a hashtag 20% 32% 32% 33% 35% 32% 36% 37% 41% 12% 17% 17% 21% 22% 34% 33% 34% 31% 5% 5% 6% 7% 6% 11% 9% 8% 8% All the time Frequently Every now and again TALKING WITH OTHERS IS MOST WIDESPREAD BUT LIKING AND CHECKING OUT RELATED CONTENT IS MOST FREQUENT
  • 37. Questions? Lisa Cowie Agency Research - EMEA Twitter @LisCowie José Arteaga Digital Designer Social@Ogilvy @Jart262 Rob Davis Executive Director, Advanced Video Practice at Ogilvy @RobertJohnDavis