As of yesterday, Twitter has uncapped the retweet totals for all accounts on Twitter. You won’t see these changes reflected on Twitter.com (where they still display 50+ Retweets), but we’ve done our research to discover the most retweeted tweets by Twitter’s elite! The results are funny, inspiring and at times just plain ridiculous.
We’ve selected the Top 10 accounts on Twitter with over 10 Million Followers. A list that most recently includes @selenagomez.
The tweets below were discovered based on an analysis of the last 3,200 tweets sent by each account. TwitSprout used the most recent retweet count to determine which tweets caught fire!
Here’s the summary…
1. @justinbieber Tweet
On the 10th of January, 2012, Justin Bieber retweeted one of Floyd Mayweather’s tweets. This tweet went on to receive 92,314 Retweets! Now that’s evidence of the Bieber-bump in action.
Top Tweet: 92,314 Retweets
Manny Pacquiao I’m calling you out let’s fight May 5th and give the world what they want to see.— Floyd Mayweather (@FloydMayweather) January 10, 2012
I wonder if Justin knew, when he wrote this ALL-CAPS tweet back in November of 2011, that it would live on to be the most retweeted tweet from the infamous @justinbieber account. Coming in at a whopping 87,882 retweets is Justin’s tribute tweet to LMFAO.
Top Tweet: 87,882 Retweets
I’M SEXY AND I KNOW IT— Justin Bieber (@justinbieber) November 21, 2011
2. @kimkardashian Tweet
This is a heartwarming tweet. Kim Kardashian calls on Twitter to help fulfill the wish of a 15 year old girl who has terminal cancer. On a Thursday morning, in June of 2011, that wish came true. The hashtag #alicebucketlist was trending on Twitter. This tweet from @KimKardashian received 71,740 retweets.
Top Tweet: 71,740 Retweets
A 15 year old girl who is terminal w/ cancer has made a bucket list. 1 of her wishes is to trend on Twitter. Give a RT #alicebucketlist— Kim Kardashian (@KimKardashian) November 27, 2011
3. @ladygaga Tweet
This inspirational tweet from Lady Gaga received 32,466 retweets in June 2011. This is the most retweeted tweet of all time from @ladygaga.
Top Tweet: 32,466 Retweets
Never be afraid to dream.— Lady Gaga (@ladygaga) June 17, 2011
4. @rihanna Tweet
Rihanna was quick to congratulate Beyonce and Jay-Z on the birth of their first child, Blue Ivy Carter. This tweet from Rihanna received 30,991 retweets earlier this month!
Top Tweet: 30,991 Retweets
Welcome to the world princess Carter! Love Aunty Rih— Rihanna (@rihanna) January 8, 2012
5. @selenagomez Tweet
Selena Gomez recently joined the list of celebrities with over 10 million followers on Twitter. Her tweet on July 12, 2011 received 28,108 retweets. Selena is supporting the new single “Skyscraper” from Demetria Lovato (@ddlovato). This is Selena’s most retweeted tweet of all time. Katy Perry is also a big fan of Skyscraper, as you’ll see below.
Top Tweet: 28,108 Retweets
6. @taylorswift13 Tweet
Taylor Swift shared this tweet with the world on her 22nd birthday, December 13th 2011. Her tweet received 25,762 retweets last month as fans celebrated with her - the most retweeted tweet from her account ever, at least until she turns 23.
Top Tweet: 25,762 Retweets
I’m so 22 right now.— taylorswift13 (@taylorswift13) December 13, 2011
7. @katyperry Tweet
Another big fan of Demetria Lovato, Katy Perry joins Selena Gomez (tweet above) to congratulate Demetria on her new single, Skyscraper. This tweet from @katyperry received 25,597 retweets. These tweets may have contributed to @ddlovato’s explosive growth on Twitter, now nearing 6 million followers.
Top Tweet: 25,597 Retweets
The new song Skyscraper by @ddlovato is pure perfection. Her voice is one of the BEST undiscovered beauties. Can’t wait for the full record.— Katy Perry (@katyperry) July 13, 2011
8. @britneyspears Tweet
Britney is struck with a little Bieber Fever and receives over 20 thousand retweets - her most retweeted tweet of all time.
Top Tweet: 20,820 Retweets
9. @barackobama Tweet
Coming in 9th on our list is Barack Obama. Obama has been a big supporter of social media, running a live Twitter Town Hall in July 2011 and the first presidential Google+ Hangout only days ago. It all started with his “Yes we can” campaign for the presidency. Very suiting that his most retweeted tweet of all time is this tweet from March 2010 with 17,570 retweets. Well done Mr. President. You certainly have achieved celebrity status in the world of social media.
Top Tweet: 17,570 Retweets
Yes we can.— Barack Obama (@BarackObama) March 22, 2010
10. @shakira Tweet
Shakira presents her “sunshine” in this photo of the couple on March 29th, 2011. The tweet received 7,268 retweets and the photo on twitpic nearly 700,000 views!
Top Tweet: 7,248 Retweets
Les presento a mi sol… Shak http://twitpic.com/4enu8t— Shakira (@shakira) March 29, 2011
Mashable tweets 70 tweets/day on average with links to the latest articles on Mashable.com. We analyzed the past 3200 tweets from @Mashable to discover the most retweeted tweet. Two months ago, on December 5th 2011, Mashable posted something we can all relate to: auto-correct. Their tweet below received 2,297 retweets.
Top Tweet: 2,297 Retweets
Damn You Auto Correct Reveals 9 Funniest Texts of the Year - on.mash.to/u040tr— Pete Cashmore (@mashable) December 5, 2011
TechCunch tweets close to 60 tweets/day and their most retweeted tweet speaks to the growing global anti-SOPA movement. Google collected 4.5 million signatures and this tweet from @TechCrunch received nearly one thousand retweets.
Top Tweet: 997 Retweets
Google Collected 4.5 Million Anti-SOPA Signatures Today tcrn.ch/xnKJTM— TechCrunch (@TechCrunch) January 19, 2012
Twitter has become one of the richest data sources in history. We are thrilled that Twitter is now providing accurate retweet totals from within their API. I’m sure these new retweet totals will be revealed on Twitter.com soon.
TwitSprout is continuing to analyze tweets from other Twitter accounts for more insights. All these analytics and will be made available to TwitSprout users soon. Join now (for free) to be one of the first with access to retweet activity of your account and any competitors.
Abhi is the “swiss army knife” of TwitSprout. As the technical co-founder he is always focused on improving TwitSprout’s products and exceeding all user expectations. Abhi has a Systems Design Engineering degree from the University of Waterloo and worked for Amazon before joining TwitSprout. He is a problem-solver, a very good one, and will do whatever it takes to get the job done. Abhi worked for days (without sleep) to bring the Obama Town Hall infographic to life. He knows how to grow and scale a platform in the cloud. Our Obama page performed without a hiccup even after being published on CNN and Mashable. That’s not all, Abhi is responsible for the whiz-bang features that make an awesome user experience. He also works directly with our larger clients.
You’ll likely find Abhi building a computer, then rebuilding it for more power. He looks at everything as a system, something to be dissected, analyzed and optimized - including our products. He’s done an excellent job at maintaining and monitoring theever growing number of servers we have online. Abhi and I have already worn out our first coffee machine here at the office (it was a sad day). Offer him a double-double and he’ll always make time to chat about social media, web technology, networking, cars and more.
Many of you know me already. I’m the voice behind our Twitter account @TwitSprout, sending Thank-You’s and connecting directly with many of our awesome users. I love data, social media data specifically. I learned from a young age the value of bridging the gap from data & information to insight & intelligence. I also graduated from Systems Design Engineering (the same class as Abhi) and was leading business intelligence initiatives across many industries, from high-tech to finance to healthcare, before focusing on social media. I’m the most happy when spending time with our users. Seriously, you all rock. When I designed the first one-page dashboard I couldn’t have predicted the incredible response and where this journey was going to lead me (and us as a team). We’re now extending our platform beyond account-level analytics to cutting edge work in real-time stream processing and social media monitoring.
The TwitSprout platform has come a long way. We’ll be sharing a sneak preview over the holidays before launching the full service in 2012. And there will always be an awesome free plan - we want to recognize the early adopters that have shared such insightful and valuable feedback!
There has been a very high volume of beta requests. We’re working hard to bring everyone on board.
PS: The answer is yes, trampoline photo-shoots are super fun. Recommended.
It’s the MLB postseason. As Major League Baseball is one of the most popular sports in America this means a surge of tweets from fans supporting their clubs with comments about the games.
We were curious how fans across America react to events within the game - such as double plays, diving catches and home runs. Most people watch TV with their laptop or iPhone these days. We all have a need to engage with other fans while watching sports - this is why people watch games at a friend’s house or the local pub. Engaging in conversation (even tweeting) can complete the experience.
So how do people tweet during MLB playoff games? Check out our graph below.
This graph shows the volume of MLB tweets per minute - it’s like the heartbeat of social-America as they react to the game. The game featured here is Game 1 - Detroit Tigers vs New York Yankees. There was a Grand Slam at 10:18PM EDT. We noticed that even if you were not watching the game live (only viewing this chart) it would be obvious when the biggest moments in the game were. The spike of conversation for the grand slam was significant!
So, could we take this one step further? Could you determine all major highlights of the game programmatically? Sure. I wonder if anyone has tested this theory.
Powerade believes that Twitter has become the second screen when big sporting events are occurring. Check out their Twitter experiment and video - Twitter Campaign shows the Power of Football.
It’s Thanksgiving here in Canada. Have a wonderful long weekend everyone!
Dan & the TwitSprout Team
It’s a sad evening here at TwitSprout headquarters. I was on a Skype call when our co-founder, Adrian, looked over at me from above his monitor - a somber expression on his face - and mouthed the words, “Steve Jobs just died.”
My heart sank. I ended the call. At this moment the entire world began reflecting together on the brilliant innovations Steve Jobs introduced that enrich all our lives. To most of us in technology, in product design, in user experience and beyond, Steve Jobs was not just the CEO of Apple, he was a hero.
Twitter ignited with tweets about Steve Jobs. We started tracking the following keywords at 7:54 PM EST: #stevejobs, stevejobs and “Steve Jobs”. The activity peaked at over 42,000 tweets / minute. I wouldn’t be surprised if Twitter announces this was one of the highest activity events (if not the highest) in Twitter’s history. A testament to Steve Jobs and his profound impact on the world. A snapshot of the tweet volume graph (in tweets per minute) is shown above.
You are an inspiration. Thank you, Steve.
-The TwitSprout Team
Earlier this week Twitter launched a new framework for developers called Storm. The details of Storm are highly technical and I don’t pretend to understand exactly how it works (we’ll leave it to our awesome developers & co-founders Adrian @apetresc and Abhi @abh1nv for that). I do know this system is important to the future of mobile and web apps - especially related to social media, and here’s why.
Warning: the following is my attempt to describe Storm at a high level. If you just want to see the Emmys in action please skip to the video.
Storm allows you to analyze a stream of information in real-time. Hmmm… still too technical? Okay. First, lets talk about a “stream”. There are two ways to get information. One method is to simply ask for it, over and over again, which is a lot of work. You must continue asking to see if there is anything new available. The second method is one where new information is given to you, immediately, if and when it is available. This is obviously superior to asking repeatedly. Storm essentially helps computers handle the second case, where information is fed to the computer as a constant stream.
Receiving and storing information is easy, analyzing it on-the-fly is hard. Storm provides a highly scalable framework to help us analyze data from the stream as it arrives. We expected Storm to be powerful and quickly discovered it’s easy to use as well. The next question for us was how to experiment with it. And as a company of social media data geeks, this was the fun part.
The 63rd Primetime Emmy Awards were broadcast live the night before Storm was released. Adrian setup a process to capture tweets about the Emmys, ~188,000 tweets in total. We probably missed a few tweets, but that’s okay as this was not the focus of our experiment. TwitSprout built an internal tool to replay the stream of tweets as if the Emmys were occurring right now. We can also speed up and slow down the playback to simulate tweet volume from many different sizes of events.
Now let us suggest an interesting question and apply Storm to our massive pool of Emmy tweets to find the answer. We were curious which TV shows received the most buzz on Twitter. Determining this after the fact is very straight forward - simply add up the tweets and you’re done. The trick is visualizing the relevant tweets for each show as they occur on Twitter in real-time. Replaying the Emmy tweets through Storm actually highlights the crowds reaction on Twitter to key events happening on stage. You will notice a surge in mentions about Modern Family or The Daily Show when they win awards. Tweet activity is also influenced by what the speaker mentions on camera.
What you’re about to see is very cool. We spent an entire night working on this experiment. The first time we played the 188,000 Emmy tweets through our system the entire team was cheering for their favorite TV show as they competed for top rank.
To achieve these results we asked Storm to filter tweets by specific keywords and group these keywords into categories. Each category is a TV show. Below is a list of the TV shows and keywords used. We realize this list could be more refined & complete but it was very late and we were eager to finally test our experiment.
TV Show Keyword Filters
GLEE (“glee”, “msleamichele”, “colfer”),
GAME_OF_THRONES (“#got”, “thrones”),
MODERN_FAMILY (“modern family”, “modernfamily”, “burrell”, “bowen”),
MILDRED_PIERCE (“mildred”, “winslet”, “pierce”),
BIG_BANG_THEORY (“big bang theory”, “big bang”, “sheldon”, “parsons”),
OFFICE (“office”, “carell”, “dunder”, “mifflin”),
SATURDAY_NIGHT_LIVE (“snl”, “saturday night live”),
PARKS_AND_REC (“parks”, “poehler”, “recreation”),
DAILY_SHOW (“daily show”, “stewart”),
I applaud Adrian’s execution on this. He learned Storm’s framework in less than 24 hours and programmed a very engaging demonstration. Adrian also recorded his code development as a live screencast to help other programmers learn Storm. Abhi is responsible for the awesome graph visualization, without which we would only see streaming lines of code :| Thank you!
I should mention that we have increased the speed of these tweets 60 times, meaning one minute in real time is equal to 1 second in the video (1min = 1 second). This allows us to replay a the Emmys in 2 minutes :)
Let’s get to it! Full screen the video to watch the results.
We would love to see your response in the comments below.
What should we analyze next? I’m excited to find out.
Dan, Adrian & Abhi
With only hours to go before America is forced to default on its loans, President Obama took to Twitter to try and get everyone to compromise. He put out well over a hundred tweets in the course of a few hours, all with a common theme:
Although each of these tweets were useful to a large number of people, all of them together were useful to absolutely nobody — and it showed. Within minutes of beginning this tweet barrage, people began unfollowing @BarackObama en masse:
The over 30,000 net lost followers is taken after counting the 20,000 followers that Obama would normally expect to gain on a Friday — that’s over 50,000 lost followers for Obama, and the first time in a very long time that he’s had a net loss over an entire day. To put thing in perspective, though, these 50,000 followers represent only 0.53% of his total follower base, so it’s not exactly time for a re-election just yet!
Adrian at TwitSprout
You know me as Dan at TwitSprout. I know you as Matt, David, Chip, Laura, Jamie, and so many more. The truth is, I absolutely love interacting with our growing beta team. We have a manifesto posted here at TwitSprout HQ that reads: Our users will be family. You bring TwitSprout to life and I continue to learn from each and every tweet, live chat, phone call and email. Your recommendations have directly impacted our roadmap on so many occasions - including printing to PDF.
With your help we’ve reached our next milestone: 100 reviews and testimonials. I’m amazed and humbled by the response. One of the most rewarding parts of being an entrepreneur is simply creating something useful. Something that causes people to say, “You just made my job easier.”
The word cloud below was created from the 100+ TwitSprout reviews on Oneforty. This is how you describe TwitSprout.
Product development and customer service are one. We understand the best new features are often inspired by those who use the product. People like you! And who better to speak directly with our users than the CEO himself? I’ve been known to call flash brainstorm sessions after a Live Chat with our users - totally charged by some new idea. Whiteboard marker in hand, we begin to mock up a prototype and schedule work. I’m proud of the team’s focus on ensuring our users have the absolute greatest experience and possible.
It was years ago when I first started using Twitter for personal branding and networking. I remember at that time there were very few tools that effectively tracked account growth. In the beginning, I recorded my Total Follower count daily in a spreadsheet. It’s frustrating that Twitter only stores the current state of these stats without any historical access - you must resort to regularly recording the data with a timestamp. And surely hourly data is better than daily. So I wrote a small program to collect the information. That was just the beginning.
It’s been many months since I designed the first TwitSprout dashboard. I remember my excitement when we reached our first 100 users. It feels so long ago (but it wasn’t). Then this month we were featured by Mashable & CNN for our analysis of Obama’s Twitter Town Hall. Guy Kawasaki even tweeted us out! We were all smiles and high-fives here in the office.
Thank you (everyone) for your awesome support and inspiration.
We are always at your service :)
To your continued growth! Cheers! -Dan and the TwitSprout Team
A few of our favorites
And the reviews continue. Including one of our personal favorites this week:
by David @spark_pc
Compared to the other one-page report and statistic dashboards provided by the hundreds of others, TwitSprout gives you exactly what you want to see, when you want to see it. No need to wait for an e-mail or the weekly reports to come in, you click, share, and receive real-time data. That’s what you wanted in the first place right? If you’re looking for that one-stop solution and are tired of searching around on the Internet, this is for you. Just sign-up, wait for your account to activate, and BAM! You have what you want. -Dave
Our gnomes took an unscheduled vacation…
To our (super-awesome) TwitSprout Beta Team,
I wanted to let you know that TwitSprout experienced some unplanned downtime during Thursday July 14th and Friday July 15th.
Everything appeared calm on the surface, your private invite links continued to operate, dashboards were generated and our other sites remained live. However, behind the scenes, our data-gathering gnomes had gone on vacation.
in geek speak: We run our platform on the Amazon Web Services (AWS) cloud. It is a robust and scalable infrastructure, but not without its own hiccups on occasion. One of our data-hungry servers stalled, without warning. We are speaking with the Amazon team to identify a possible cause.
What Does This Mean?
This means we were not collecting data for approximately 48 hours (and as a great lover of data myself, it pains me to say this). Therefore, we are missing information for most of Thursday (July 14th) and most of Friday. As of Friday night (July 15th) we had all systems back up and running.
What To Watch For…
- Hourly Change in Followers (bottom left metric): You will notice that data for Thursday July 14th and Friday July 15th are not shown in the bar graph. Friday is shown in the legend and the number included is the total change in Followers across Thursday and Friday.
- Daily Tweets (bottom right metrics): Total tweets for Thursday July 14th are shown as zero on all accounts. Thursday’s tweets are included within the total for Friday July 15th.
Our team has deployed data-fetching gnomes to every one of our servers. We also added something called ‘auto-scaling’ (sounds impressive right?). Basically, this means that all of our systems work together to collect data. If one of the individual systems goes down or stalls, then another one is automatically created, in its exact image, to complete the job.
Now that’s awesome gnome teamwork!
We Are So Sorry
From the whole TwitSprout team, we are really sorry. This is not cool, we get that and feel terrible. We have been successfully tracking account data hourly for many months. This was the first hiccup in our system.
If you do have any questions, please don’t hesitate to email. You can simply respond to either your welcome email or official invite we sent you. All communications come straight to my inbox - and I’ll get back to you ASAP.
This, after all, is what a beta is for. We are confident that our new (and more cooperative) gnomes will ensure this does not occur again in the future.
Dan and the TwitSprout Team
As we promised, there’s now a post-mortem page on our Obama Dashboard. The full analysis was in our last blog post, but the infographic breaks it down and provides many more details — plus we just think it’s a lot of fun! Take a look at the link above, or just feast your eyes below:
Thanks again for all the support — it’s been quite a ride!
Adrian at TwitSprout
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