He Tweeted, She Tweeted: Men vs. Women On Twitter [Infographic]

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Dharmesh Shah
Dharmesh Shah



One evening last week, I conjured up a reasonably clever way to make a pretty good guess as to the gender of a Twitter user.  At first, I thought, “This will only take a couple of hours to hack together”.  Famous last words.  As is often the case with these sorts of things, one thing led to another, and I found myself up at 4am to get the code done.  But, I got it done.

Armed with this new data, I did a couple of things.  First, I added a new feature to Twitter Grader to show a list of the Top 100 Most Influential Women on Twitter .  The list was a little quirky at first, but has now settled in, and I think is pretty good.  I know many of the women on the list, and they do indeed have powerful presences. 

Next, I decided to look at how men and women differ on Twitter.  Here are some of the quick snippets from the current data.  Note:  Though the sample size is relatively large at 200,000+ users — the data is currently skewed towards users in English-speaking countries.  I hope to improve that over time, but until then, the points below are for amusement purposes only.

If you find any particular one interesting, there’s a convenient link next to each one that will let you tweet it out to your network.  Good way to spark some debate and discussion.

Men vs. Women On Twitter

1) Men have an average of 643 followers on Twitter whereas women have 1717. [tweet]

2) Men follow an average of 287 users on Twitter - women 381. [tweet]

3) Men have Tweeted an average of 698 times - women 1542. [tweet]

4) Men have been on Twitter for an average of 502 days - women 496. [tweet]

5) There are over ten times as many men that have “verified” Twitter accounts as women. [tweet]

If you’re more of a visual person, below is a pretty little graphic that shows the same thing.

HubSpot Twitter Infographic

What I was most surprised by in looking at the data that despite there being many more men than women on Twitter, the average “Twitter tenure” is the same.  What do you think?  Any other questions you’d like answered from this data as I dig deeper?

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