We segment these users into a number of psychographic
segments: including gender, location, Twitter activity, and
more. Next to each chart, you will find links that
allow you to explore specific users in each segment. You
can further sort these pop-up lists of users by follower
count, tweet count, and so on.
Sample size: 2,828 of users @Optimizely follows – view all »
Mapped locations of users Optimizely follows
Using the location field in Twitter accounts, we try to approximate the
geographic location of up to 5,000 users and map them for you.
This is an inexact procedure and so some points may be mapped incorrectly.
Most active hours for users Optimizely follows
This chart breaks down the hourly Twitter activity of Optimizely's friends.
Please check back later.
Most active hours for Optimizely
This chart details Optimizely's Twitter activity. Using up to 400 of
their most recent actions, we chart when they tweet, @contact tweet (ones
that begin with someone's name), and retweet. Compare to the above chart
to see how their activity compares to their friends.
Please check back later.
Bio word cloud of users Optimizely follows
To help make sense of the "biography" field of each Twitter user, we've assembled this
word cloud which shows you the most frequently occuring words.
marketing – digital – founder – tech – business – product – author – cofounder – design – ceo – web – media – technology – news – help – former – entrepreneur – data – online – social – own – content – analytics – writer – buildingTwo word bio clouddigital marketing – social media – husband father – board member – marketing agency – online marketing – web analytics – founder ceo – product manager – software engineer – angel investor – internet marketing – customer service – user experience – conversion rate – help people – web design – san francisco – digital marketer – conversion optimization – cofounder ceo – need help – media marketing – content marketing – dms open
Location word cloud of users Optimizely follows
Similar to the above word cloud, here we show you the relative frequency of words used in the "location" field of users Optimizely follows.
ca – san francisco – new york – london – ny – usa – uk – ma – england – tx – boston – wa – seattle – canada – austin – los angeles – chicago – california – co – washington – fl – dc – vancouver – nyc – nc
Social Authority scores of users Optimizely follows
Social Authority is our rating
of a user's influence and engagement on Twitter. It ranges
from 1 to 100, where higher scores indicate a person with
greater influential activity.
Breakdown
385
13.6%
1 to 10 »
226
8%
11 to 20 »
388
13.7%
21 to 30 »
471
16.7%
31 to 40 »
512
18.1%
41 to 50 »
455
16.1%
51 to 60 »
225
8%
61 to 70 »
106
3.7%
71 to 80 »
46
1.6%
81 to 90 »
14
0.5%
91 to 100 »
Inferred gender of users Optimizely follows
Based on an analysis of users' profile data, when applicable
and available, we guess their gender.
Breakdown
1,162
41.1%
male »
391
13.8%
female »
1,275
45.1%
undetermined »
Follower counts of users Optimizely follows
We've analyzed users Optimizely follows
and assembled this chart to show you the number of people who follow those users. This is a useful way to pinpoint those users with
the most followers (and therefore clout).
Breakdown
34
1.2%
1 to 49 »
38
1.3%
50 to 99 »
428
15.1%
100 to 499 »
323
11.4%
500 to 1k »
761
26.9%
1k to 5k »
292
10.3%
5k to 10k »
539
19.1%
10k to 50k »
133
4.7%
50k to 100k »
177
6.3%
100k to 500k »
40
1.4%
500k to 1 million »
63
2.2%
1 million+ »
avg: 146,402.61, median: 3,392
Following counts of users Optimizely follows
Here we highlight the following counts of users Optimizely follows.
Generally, this is a less useful metric than the
follower count (above). That said, we've found that people who
follow a large number of users are
often less "valuable" than those who follow fewer –
this is because those people who follow a lot are less likely to
comprehensively read their Twitter stream.
Breakdown
35
1.2%
none »
97
3.4%
1 to 49 »
94
3.3%
50 to 99 »
618
21.9%
100 to 499 »
562
19.9%
500 to 1k »
1,070
37.8%
1k to 5k »
179
6.3%
5k to 10k »
139
4.9%
10k to 50k »
18
0.6%
50k to 100k »
12
0.4%
100k to 500k »
2
0.1%
500k to 1 million »
2
0.1%
1 million+ »
avg: 5,299.89, median: 1,012
Account ages of users Optimizely follows
The age of an account is an interesting way to measure value. Users who
have been on Twitter for a while are early adopters, and generally more
valuable than newbies. As well, there is a higher percentage of spam
accounts in newer user segments (as Twitter has not yet cleared them out).
Breakdown
1
0%
3 to 4 years »
8
0.3%
4 to 5 years »
2,819
99.7%
5+ years »
Recencies of tweets of users Optimizely follows
If a person hasn't tweeted recently, then their account may be dormant.
These data are based on the date that Followerwonk last checked the
user, so the dates may not be entirely precise, but they should give you
a good idea of who is tweeting more recently than others. Protected
accounts are excluded from this analysis.
Breakdown
9
0.3%
never »
109
3.9%
last hour »
565
20%
1 to 24 hours »
409
14.5%
1 to 7 days »
486
17.2%
7 to 30 days »
307
10.9%
1 to 3 months »
113
4%
3 to 6 months »
142
5%
6 to 12 months »
140
5%
1 to 2 years »
108
3.8%
2 to 3 years »
62
2.2%
3 to 4 years »
60
2.1%
4 to 5 years »
213
7.5%
5+ years »
Total tweets of users Optimizely follows
If a user has a low total tweet count, they may not be a "real" user.
Perhaps they tried Twitter and gave it up? On the other
hand, those with a very large number of tweets might be avoided (they
could be spammers, overwrought, or just too verbose!)
Breakdown
9
0.3%
none »
47
1.7%
1 to 49 »
28
1%
50 to 99 »
189
6.7%
100 to 499 »
161
5.7%
500 to 1k »
788
27.9%
1k to 5k »
461
16.3%
5k to 10k »
875
30.9%
10k to 50k »
154
5.4%
50k to 100k »
110
3.9%
100k to 500k »
4
0.1%
500k to 1 million »
2
0.1%
1 million+ »
avg: 21,803.73, median: 6,873
Languages of users Optimizely follows
Please note that Twitter only allows users to select from a
few languages. As well, many Twitter users who
tweet primarily in a foreign language may still have their official language set to English.
Breakdown
2,460
87%
English »
366
12.9%
Other »
Percent of tweets w/ URLs of users Optimizely follows
How many URLs do these folks tweet as a percent of their
total tweets? Note: this chart is restricted to a smaller sample of Twitter
users for whom we compute extended metrics.
Breakdown
10
0.4%
< 1% »
11
0.4%
1 to 5% »
18
0.6%
5 to 10% »
127
4.5%
10 to 25% »
479
16.9%
25 to 50% »
480
17%
50 to 75% »
510
18%
75 to 100% »
Retweets as a percent of timelines of users Optimizely follows
Retweets are an excellent measure of engagement. The more
someone retweets, the more he is consuming other peoples
tweets. That's generally a good thing (because it means they
are more likely to RT you). Here, we breakdown this audience
by the amount that they retweet (as a percentage of their
timeline). Note: this chart is restricted to a smaller sample of Twitter
users for whom we compute extended metrics.
Breakdown
289
10.2%
< 1% »
218
7.7%
1 to 5% »
224
7.9%
5 to 10% »
430
15.2%
10 to 25% »
324
11.5%
25 to 50% »
107
3.8%
50 to 75% »
43
1.5%
75 to 100% »
@contacts as a percent of timelines of users Optimizely follows
Similar to the above chart, we analyze how often this audience
@contacts another person (a tweet that begins with an
@mention). This score is the amount they @contact someone as
a percent of their timeline. Note: this chart is restricted to a smaller sample of Twitter
users for whom we compute extended metrics.
Breakdown
284
10%
< 1% »
197
7%
1 to 5% »
144
5.1%
5 to 10% »
323
11.4%
10 to 25% »
355
12.6%
25 to 50% »
226
8%
50 to 75% »
106
3.7%
75 to 100% »
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