OVERVIEW
Session #TweetTV at #SXSW Introduction: Great talk by Jenn Deering Davis this morning, people not only tweeted in a very active way but also liked the speech. Amazing statistics: high impact and high reach.
Statistics
Categories
806
338
total tweets
402
340
Retweets
13
Tweets
23
Replies
3
Links
25
Checkins
4.180.513 Impressions Potential impact
1.348.440 Users
users
Pictures
Category
2,4
Text Tweets Pictures Links Replies Checkins
Tweets per user
3.989
Potential reach
Followers per user
Charts
Total tweets
%
Original Tweets
RT
Users
603 120 67 13 3
75 15 8 2 0
340 25 23 13 3
263 95 44 0 0
239 107 60 12 3
Most Active Users charohenriquez
543
num. tweets
34
tweets
958
followers
RAPP
27
160
5912
37
12 16:23 9 mar
tweets
17:09
17:55
18:42
22 19:28
8
9
9
5
20:15
21:01
21:48
22:34
followers
Silis
time
24
tweets
75
num. users
783
followers
22 19
100-150
150-200
200-250
250-300
300-400
400-500
500-750
750-1000
1000-1500
1500-5000 5000-10000
num. followers
>10000
6
26
5
2
5
KerryGorgone
14
tweets
8170
followers
>5
3
9765
followers
13
12
num. tweets per user
4
17
tweets
18 13
50-100
25
23
17
13
0-50
4
33
31 24
vitrue
16
GarnierBBDO
13
tweets
2883
10
followers 27
7
50
1
209 num. users
lisiaf
13
tweets
39
followers
Analysis of the session '#TweetTV at #SXSW' created with Tweet Category
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CATEGORIES Categories Rankings Potential Reach
Number of impressions
Number of users
Number of tweets
Retweets
Text Tweets
Text Tweets
Text Tweets
Text Tweets
Text Tweets
Pictures
Pictures
Pictures
Pictures
Pictures
Links
Links
Links
Links
Links
4
Replies
4
Replies
4
Replies
4
Replies
4
-
5
Checkins
5
Checkins
5
Checkins
5
Checkins
5
-
Charts Impressions per category
Tweets per category
Users per category
Categories Rankings Category Text Tweets Pictures Links Replies Checkins
Total tweets
%
Original Tweets
RT
Users
Impressions
Potential Reach
Tweets/ User
Followers/ User
603 120 67 13 3
75 15 8 2 0
340 25 23 13 3
263 95 44 0 0
239 107 60 12 3
2.592.198 993.003 569.607 22.867 2.838
729.816 800.755 490.145 22.405 2.838
2,5 1,1 1,1 1,1 1,0
3.053 7.483 8.169 1.867 946
Analysis of the session '#TweetTV at #SXSW' created with Tweet Category
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USERS Statistics
338 Number of users
84,5
2,4
12.368
Number of users per category
Number of tweets per user
Number of impressions per user
Top 5 users Most active users
Most popular users
charohenriquez
BillHibbler
34
259.313
tweets
followers
RAPP
27
155.130
310.260
followers
impressions
BillHibbler
130.399
259.313
tweets
followers
impressions
vitrue
4
17
rob_bieber
4
46.896
ASE
256.190
followers
KerryGorgone
5
14
impressions
ThomasMarzano
5
43.334
vitrue
165.996
followers
Most participative users
impressions
Retwitters
mikemost
Most original users
Silis
RAPP
4
24
27
num. categories
num. of RTs
original tweets
ASE
charohenriquez
charohenriquez
3
13
21
num. categories
num. of RTs
original tweets
BillHibbler
lisiaf
vitrue
3
13
17
num. categories
num. of RTs
original tweets
Jas
4
3
BillHibbler
4
8
num. categories
5
jeffarazzi
24
tweets
4
impressions WarrenWhitlock
tweets
tweets
5
1.303.990
WarrenWhitlock
Silis
4
Users with the highest impact
jeffarazzi
KerryGorgone
12
num. of RTs
RAPP
5
3
original tweets
Jas
5
8
num. categories
aks106
num. of RTs
12 original tweets
Charts
108
3989 Followers per user
58
62
HIGH INFLUENCE
54 43
12 1 influence level
Very low 0 to 10 followers
Analysis of the session '#TweetTV at #SXSW' created with Tweet Category
Low 10 to 50 followers
Medium-low 50 to 200 followers
Medium 200 to 500 followers
Medium-high High 500 to 1000 1000 to 5000 followers followers
Very high >5000 followers
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Highlighted tweets Jenn Deering Davis @jdeeringdavis
17:13 - 09 Mar 13
Cat.: Text Tweets
Wow, thank you all for coming to my presentation this morning! It was so much fun. Thanks for your questions! #tweetTV #SXSW
eckfactor Australia @eckfactor
16:34 - 09 Mar 13
Cat.: Text Tweets
Thanks @deeringdavis for your session #tweettv, a fascinating discussion about the impact and influence of twitter on TV #sxsw @planeteck
Gravity Thinking @Gravitythinking
16:14 - 09 Mar 13
Cat.: Text Tweets
79% of people who use social visit Facebook whilst watching tv - huge opps to explore but too closed to analyse #TweetTV #sxsw #SXSWi
Marc Schroeder @marcster70
16:01 - 09 Mar 13
Cat.: Text Tweets
I met a lot of people who say they now people that use Google+ ;-) @jdeeringdavis #tweettv #sxsw
Zoë Ann Baker @zoewithdots
16:01 - 09 Mar 13
Cat.: Text Tweets
Next steps for social tv… to use hash tags more meaningfully and for purpose ie to encourage purchase #TweetTV #RabbitsDoSXSW #sxsw
Erika Digirolamo @ErikaSchmit
15:56 - 09 Mar 13
Cat.: Text Tweets
More shows using real-time tweets to drive people to watch TV live #tweetTV #sxsw
SocialRevoluciónSXSW @RevolucionSXSWi
15:52 - 09 Mar 13
Cat.: Text Tweets
Twitter enables folks to have Parasocial Relationships with the characters on a TV show. Good or Bad? #tweetTV #sxsw #revolucionsxswi
Charo HenriquezScaia @charohenriquez
15:50 - 09 Mar 13
Cat.: Text Tweets
Theory of parasocial relationships. People connect with characters as "friends". Twitter enhances that. #tweettv #sxsw
Analysis of the session '#TweetTV at #SXSW' created with Tweet Category
Jim Buckley @JRBuckley68
16:36 - 09 Mar 13
Cat.: Text Tweets
41% of tablet owners & 38% of smartphone owners use devices while watching TV.#sxsw #tweetTV w/ @jdearingdavis via @TiVo - RT @ASE:
Bailey Surrett @ebailey126
16:18 - 09 Mar 13
Cat.: Text Tweets
Twitter is actually encouraging people to watch more programming live. #mullenNC #sxsw #tweettv
RAPP @RAPP
16:13 - 09 Mar 13
Cat.: Text Tweets
Apparently hashtags don't work in commercials in Holland. A really skeptical country. #tweettv #SXSW
Lindsay Sutton @lindsayalk
16:01 - 09 Mar 13
Cat.: Text Tweets
pushing hash tags forward, MY everyday challenge. hash tags 2.0, what does it look like? thoughts? #tweettv #SXSW #effective
Marc Schroeder @marcster70
15:56 - 09 Mar 13
Cat.: Text Tweets
Twitter is a focus group @jdeeringdavis #tweettv #sxsw
Charo HenriquezScaia @charohenriquez
15:52 - 09 Mar 13
Cat.: Text Tweets
Superbowl ads had hashtags this year #tweettv #sxsw
RAPP @RAPP
15:51 - 09 Mar 13
Cat.: Text Tweets
The best ways to engage fans is to tweet with them while they are watching. #tweettv #SXSW
Charo HenriquezScaia @charohenriquez
15:47 - 09 Mar 13
Cat.: Text Tweets
Twitter becomes watercooler. People watch the shows the people they follow "tweet" about. #tweettv #sxsw
4
Jay Deal @Jay_Deal
15:47 - 09 Mar 13
Cat.: Text Tweets
Successful Twitter fan interaction example : Netflix series House of Cards. #tweettv #SXSW #houseofcards
robciampa @robciampa
15:39 - 09 Mar 13
Cat.: Text Tweets
230k tweets / min during peak Super Bowl - wow #tweettv #sxsw
Rinku Sen @ARC_RinkuSen
15:36 - 09 Mar 13
Cat.: Text Tweets
Social media loaded w spoilers by TV watchers. Some shows are made for Twitter: suspense, sports, one time events. #tweettv #SXSW
Christian McDonald @crit
Charo HenriquezScaia @charohenriquez
15:42 - 09 Mar 13
Cat.: Text Tweets
Shows that stream all at once don't fluctuate as much in tweet pattern. #tweettv #sxsw
Andrew Soucy @aks106
15:36 - 09 Mar 13
Cat.: Text Tweets
Apparently the show "Pretty Little Liars" is the most tweeted about show on TV - I have no idea what this show is.... #oldguy #sxsw #tweetTV
Nicole Rose Dion @nicolerosedion
15:34 - 09 Mar 13
Cat.: Text Tweets
That doesn't surprise me - "1 in 3 twitter users has tweeted about TV" #tweettv #sxsw #sxswi @jdeeringdavis
15:31 - 09 Mar 13
Cat.: Text Tweets
Wow, @jddeeringdavis's panel is packed. Glad I came early. #tweettv. Good to see @refreshaustin'r out there. #sxsw
Analysis of the session '#TweetTV at #SXSW' created with Tweet Category
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Glossary
Page 1: General Overview: This page shows at a glance the evolution and the global statistics of the session. Statistics − Number of Tweets: Total number of Tweets sent during the session, RTs and replies included. It is shown below, a breakdown of the types of tweets: original tweets (those containing text only) tweets with links, retweets, conversations (tweets as part of a conversation between several users), check-ins and photos. - Number of users: Total number of users who participated in the session using the given hashtag. It also includes users who only sent RTs. - Potential Impact: Number of impressions of the hashtag, which is the number of times that people could have seen the hashtag. This is important because it tells you how many times it has been possible to visualize the hashtag. This number is calculated by multiplying the number of followers of each user by the number of number of Tweets and adding those results. Example: If a user sends 2 tweets and he has 100 followers, the number of impressions generated by the users would be 200. If another user sends 3 tweets and he has 50 followers, the number of impressions generated by this person would be 150 which would make a total of 350 impressions of the session. - Potential Reach: Number of users who have been unable to see the hashtag and could have been impacted by the hashtag. This number is calculated by adding all the followers of each user who participated in the session. Using the previous example, if the session had 2 users, one with 100 followers and the other one with 50, the reach will be 150 followers, regardless of the number of tweets sent. IMPORTANT: both the impact and reach are 'potential' because not everyone may have seen the hashtag and users can have other users in common. - Average number of Tweets per user: this number is the average of Tweets sent per each user. This number is calculated by dividing the number of tweets between the number of users who have participated. RTs included. - Average followers per user: the average number of followers that users of the session have. This figure indicates how influential are the participants in our session. Given that the average number of followers that a Twitter user has is about 250, you can calculate if participants in your session exceed that average. This number is calculated by dividing the sum of followers by the number of users who have participated. - Difference between “Total Tweets” and Tweets: The “Total Tweets” include RTs, links, replies, links and 'Tweets'. 'Tweets' are the ones containing only text. ChaRTs There are different types of graphs in the report Tweet Category: − Temporal Evolution: shows the time evolution of the tweets sent by users. Tweet Category takes the first and last tweet and draws the timeline of the session. Thanks to this chart you will be able to identify the moment people tweeted the most or the least. − Influence of Users: shows the influence of the users who participated in the session. On the vertical axis you will find the total number of users and on the horizontal one, the number of followers of those users. As we move to the right part of the graph you will see the users who have a greater number of followers and therefore influence. The higher the columns on the right, the higher influence of your users. − User activity: shows the number of tweets sent by users. The vertical axis shows the number of tweets sent and the horizontal one the number of users who have participated. Page 2: Statistics of the categories: on this page you will find the detailed statistics for each category.
Rankings of categories: This ranking shows which categories have reached the top 5 according to several statistics. It is interesting to note that although a category may have a greater number of tweets that another one, it could have a minor number of impressions (lower impact). The rankings show the categories with the highest reach, impact, number of users, number of tweets and number of RTs.
Analysis of the session '#TweetTV at #SXSW' created with Tweet Category
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ChaRTs: − Impact by category: This graph shows which category has the highest number of impressions and therefore the highest impact. − Tweets by category Chart: This chart shows which category has the highest number of total tweets. − Users by category Chart: This chart shows which category has the highest number of users. Table of categories: This table shows detailed statistics for each category; these statistics are the same variables as the global statistics of the session but applied to each of the category. Thus you can see which category gets more impact, more users, and so on. It is worth taking a second to consider this table as very interesting conclusions can be obtained from it. Page 3: User Rankings Tweet Category offers different kinds of user rankings: − Most active users: the ones who tweeted the most using the hashtag. RTs included. − Most popular users: the ones who have the highest number of followers in the session. − Users with the highest impact: the ones who generated the highest number of impressions. − Most participative users: the ones who participated in more categories. − Most retweeter users: the ones who sent the highest number of RTs. − Most original users: the ones who sent the highest number of original tweets (No RTs).
Analysis of the session '#TweetTV at #SXSW' created with Tweet Category
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