We haven’t done a back and forth in quite a while. Steve tells me Twitter is having a birthday, so we got all data nerdy about it.
Twitter turns 10 this week, and I’ve been on it for eight of those years @steviesaf. Twitter Analytics shows you lots of data about your audience, and I’ve find out some very interesting facts. Like how big I am among people who buy cheese.
I have about 1,200 followers and Tweet 2-3 times a day. My “engagement rate,” that is to say “people who vaguely care about what I tweeted” runs between 1-3%. This sounds awful, but is actually not bad and probably is as interesting as people find me in real life. I get about 2 “likes” a day.
That’s some good raw data. But Twitter Analytics is a real gift. You can find out a lot more about your followers. For example: 30% of mine claim an income of $250,000+ a year. Still another 30% claim $175K+ a year. And 20% of my audience admits a net worth of more than one million dollars.
So, as we can see, I have an audience of total liars.
Not surprising for a tech and news guy, around 80% of my followers like tech, business, politics and general news. But two-thirds like comedy! So I have a pretty good lock on the funny tech guys. And if you’ve ever met an engineer, you know finding 800 of them who think you’re funny is pretty good. (Or a lot of movie quotes, ed. note)
59% of my followers are guys. No surprise there. Pants humor skews male. I’m biggest in Massachusetts, New York and California (what’s up Silicon Valley!), but I rate in Texas, Florida and Illinois. Political campaigns should consider courting my endorsement.
Best of all, Twitter Analytics knows a frightening amount about what you buy. My followers’ biggest purchase is cheese (65%) and I love them for it. 87% of my audience, my top category, is into buying “premium brands.” So, my biggest takeaway is that @steviesaf is synonymous with “overspending on crap.”
Let’s see Britt (@mewhinney) top that.
Given it’s my blog, and I have ultimate editorial power and last word privileges, you’d think I could totally top that. But I can’t. Twitter Analytics did the loser-cough thing when I opened the program. I’ve only lured 527 followers to @mewhinney since I first logged on in 2009. Admittedly, I’ve only been active since I found @OhNoSheTwitnt and developed a GoT-themed girl crush that hasn’t subsided. People who stop by really don’t “like” me very much at all. Though I’ve had silly Facebook threads run over 100 comments long, I’ll only earn a “heart” or two a day on this harder-to-crack site. My meager 2.6% engagement rate is probably inflated by other weirdoes with insomnia (e.g., @steviesaf).
72% of my followers love comedy, writing, and music, and their income is equally stratified among levels quite south of the 1%-ers. And though a very small percentage of them own fancy homes, most of them wouldn’t scoff at a Chanel bag. Only 9% are vegetarian, which may have something to do with me constantly bashing liquefied salad diets and yoga.
Twitter Analytics can help you combine all of your demographic data into an amalgam of your typical follower. Mine is a California apartment-dwelling, dairy-loving comic with great taste. @13spencer should be hanging on my every word.
Every once in a while a huge account, like @CulturedRuffian, will post a dollar value that correlates with the worth of his Twitter-ing. Mine amounted to little less than one Jimmy Choo. And not even a boot, to boot. I’d love to know how someone with thousands and thousands of followers is surprised, delighted, disheartened, or aided by this demographic data. I’d also love to know who is buying all of this cheese on line.