![twitter insights twitter insights](https://pbs.twimg.com/media/BU7rLp5CUAAyzNJ.jpg)
True Beauty and Vincenzo both include roles for K-pop stars, with Cha Eun-woo (a member of the male K-pop group ASTRO) appearing in True Beauty, and Ok Taec-yeon (a member of the male K-pop group 2PM) starring in Vincenzo. The top four most-mentioned K-dramas around the world were ranked as follows: Kingdom at number one, Itaewon Class (based on the original webtoon) at number two, True Beauty at number three, and Vincenzo at number four. Extracurricular (2020, Netflix original)įor many K-pop fans, K-dramas were the next type of K-content they tried after falling in love with K-pop, and the most popular K-dramas reflect this preference.Step to it, Excel gurus!Įditor’s Note: A version of this article originally appeared on Blind Five Year Old.Top 20 Most-Mentioned K-Dramas on Twitter in the World (July 2018 ~ June 2021) I’d really appreciate others providing some insight and potentially some macros to make the analysis even easier. Hopefully you’re ready to jump in with both feet and try this out. Dan also has some tips on using Favorited Rate to predict content success. If you’re having trouble check out Dan Shure’s post about how to set up Twitter Analytics on Evolving SEO. All I did was click the Get Started link and jump through a few hoops. I haven’t been running ads on my account. Maybe folks think you need to be running ads to get all of the organic Tweet data.
![twitter insights twitter insights](https://buffer.com/resources/content/images/resources/wp-content/uploads/2015/08/instagram-insights.png)
I think part of the problem is that the analytics feature is buried under the Ads interface. So, what are you waiting for? How To Get Twitter Analytics Either way it’s something I can track over time. But there’s also a huge bias involved in the value of that content. Do people pay more attention and interact with my Tweets when I say I’m saving the piece of content I’m referencing? Maybe. Here I can see that my particular Tweet pattern of using a prefix gives me some interesting results. The analytic opportunities here are nearly endless – particularly if you’ve adhered to some sort of pattern in your Tweets (thank you latent OCD). (Engagement efficiency – that has a nice ring to it doesn’t it?) But it shows that with the right type of Tweets, I am moving the needle in the latter. This makes sense to me since I’m more of an authority in SEO than in UX. It’s hard to see, I know, but here I can tell that I get more retweets per Tweet on #seo, but that many of the other metrics skew towards #ux in terms of engagement efficiency. I could dig even deeper and do a pivot table to see what type of engagement I’m getting on each: I get a lot more impressions and engagements overall with the #seo hashtag but my engagement rate on #ux is twice as high. Now, with a bit more data manipulation I can look at how these two different themes of Tweets perform: Two of the more popular ones I use are #seo and #ux. I happen to use hashtags as a way to classify my Tweets. I could drill down here and get to the hour and come out with one of those popular “best time to Tweet” posts if I wanted. But maybe I just want to see the overall engagement rate by day.įriday and Saturday suddenly look pretty good from an engagement efficiency standpoint. Monday and Thursday appear to be the best for the small amount of time I have data for. With a bit of data manipulation, I can find out which days I have the most engagement: You get the actual text of each Tweet along with the timestamp coupled with all of the engagement metrics. Click and suddenly you have one of the richest sets of data you could wish for on your Tweets. This might as well be colored gold and in the shape of a treasure chest. Export And AnalyzeĪt the top right hand on the dashboard is an Export data button. But wait, we haven’t even gotten to the best part. Not shown here but also tracked are the number of times the Tweet was shared via email. In particular, you can see which Tweets produced user profile clicks and actual follows. A sliding scale of engagement for you to pore over. There’s so much awesome information here. Now if you’re not quietly swearing under your breath, at this point I don’t know what’s wrong with you. If you click on a specific Tweet, you get to see how people engaged with that Tweet: That’s not too shabby but lets poke at what lurks under Engagements. The major statistics it provides are Impressions, Engagements, and Engagement Rate for each tweet and the trend for those over time. The dashboard provides a decent overview of activity over the last 28 days. So here are some insights into Twitter’s new analytics platform: Twitter Analytics Dashboard I’ve been waiting for the posts that detail how much you can get from the tool and the different types of analysis you can perform.īut… I’m tired of waiting. Well, that’s pretty much what happened over a month ago. What if Twitter launched the most awesome analytics dashboard and no one really noticed?