Your small business' biggest fan 💙 Brand building products for small businesses and ambitious individuals. We're a fully remote team and work 4 days a week. ✨
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: 58,897 of users @buffer follows – view all »
Mapped locations of users buffer 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 buffer follows
This chart breaks down the hourly Twitter activity of buffer's friends.
Please check back later.
Most active hours for buffer
This chart details buffer'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 buffer 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 – social – digital – media – business – love – founder – life – own – tech – design – web – author – lover – writer – content – people – music – director – help – world – online – husband – tweets – thingsTwo word bio cloudsocial media – digital marketing – husband father – real estate – media marketing – software engineer – marketing agency – small business – web design – content marketing – official twitter – husband dad – online marketing – digital marketer – web developer – twitter account – check out – marketing consultant – creative director – founder ceo – graphic designer – marketing manager – content creator – media manager – small businesses
Location word cloud of users buffer follows
Similar to the above word cloud, here we show you the relative frequency of words used in the "location" field of users buffer follows.
ca – usa – uk – london – england – ny – new york – tx – san francisco – canada – los angeles – australia – fl – india – toronto – california – ma – wa – chicago – mexico – united kingdom – ontario – il – austin – ga
Social Authority scores of users buffer 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
16,635
28.2%
1 to 10 »
5,979
10.2%
11 to 20 »
7,084
12%
21 to 30 »
7,955
13.5%
31 to 40 »
9,089
15.4%
41 to 50 »
8,152
13.8%
51 to 60 »
2,987
5.1%
61 to 70 »
686
1.2%
71 to 80 »
252
0.4%
81 to 90 »
78
0.1%
91 to 100 »
Inferred gender of users buffer follows
Based on an analysis of users' profile data, when applicable
and available, we guess their gender.
Breakdown
19,004
32.3%
male »
10,160
17.3%
female »
29,733
50.5%
undetermined »
Follower counts of users buffer follows
We've analyzed users buffer 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
3
0%
none »
4,116
7%
1 to 49 »
3,027
5.1%
50 to 99 »
14,780
25.1%
100 to 499 »
8,947
15.2%
500 to 1k »
17,026
28.9%
1k to 5k »
3,991
6.8%
5k to 10k »
4,755
8.1%
10k to 50k »
795
1.3%
50k to 100k »
913
1.6%
100k to 500k »
169
0.3%
500k to 1 million »
375
0.6%
1 million+ »
avg: 69,416.92, median: 900
Following counts of users buffer follows
Here we highlight the following counts of users buffer 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
1,862
3.2%
none »
3,486
5.9%
1 to 49 »
2,807
4.8%
50 to 99 »
16,331
27.7%
100 to 499 »
11,481
19.5%
500 to 1k »
18,615
31.6%
1k to 5k »
2,150
3.7%
5k to 10k »
1,752
3%
10k to 50k »
208
0.4%
50k to 100k »
183
0.3%
100k to 500k »
14
0%
500k to 1 million »
8
0%
1 million+ »
avg: 3,074.59, median: 683
Account ages of users buffer 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 6 months »
3
0%
6 to 12 months »
8
0%
1 to 2 years »
5
0%
2 to 3 years »
9
0%
3 to 4 years »
21
0%
4 to 5 years »
58,850
99.9%
5+ years »
Recencies of tweets of users buffer 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
183
0.3%
never »
1,539
2.6%
last hour »
7,823
13.3%
1 to 24 hours »
6,629
11.3%
1 to 7 days »
7,657
13%
7 to 30 days »
5,195
8.8%
1 to 3 months »
2,395
4.1%
3 to 6 months »
3,032
5.1%
6 to 12 months »
3,407
5.8%
1 to 2 years »
2,720
4.6%
2 to 3 years »
2,093
3.6%
3 to 4 years »
1,921
3.3%
4 to 5 years »
10,095
17.1%
5+ years »
Total tweets of users buffer 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
200
0.3%
none »
2,616
4.4%
1 to 49 »
1,210
2.1%
50 to 99 »
5,321
9%
100 to 499 »
3,969
6.7%
500 to 1k »
15,915
27%
1k to 5k »
8,854
15%
5k to 10k »
15,911
27%
10k to 50k »
2,970
5%
50k to 100k »
1,830
3.1%
100k to 500k »
79
0.1%
500k to 1 million »
22
0%
1 million+ »
avg: 18,541.78, median: 5,080
Languages of users buffer 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
41,124
69.8%
English »
4,276
7.3%
Spanish »
13,464
22.9%
Other »
Percent of tweets w/ URLs of users buffer 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
189
0.3%
< 1% »
256
0.4%
1 to 5% »
415
0.7%
5 to 10% »
2,139
3.6%
10 to 25% »
5,978
10.1%
25 to 50% »
4,805
8.2%
50 to 75% »
5,821
9.9%
75 to 100% »
Retweets as a percent of timelines of users buffer 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
3,269
5.6%
< 1% »
2,742
4.7%
1 to 5% »
2,461
4.2%
5 to 10% »
4,689
8%
10 to 25% »
3,865
6.6%
25 to 50% »
1,674
2.8%
50 to 75% »
903
1.5%
75 to 100% »
@contacts as a percent of timelines of users buffer 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
3,603
6.1%
< 1% »
2,761
4.7%
1 to 5% »
2,027
3.4%
5 to 10% »
3,828
6.5%
10 to 25% »
4,332
7.4%
25 to 50% »
2,302
3.9%
50 to 75% »
750
1.3%
75 to 100% »
Want to monitor changes to competitors' web sites? We recommend
Versionista.