Discover How To Use Real Time Twitter Analytics | Social Media Jedi Blog

Discover How To Use Real Time Twitter Analytics


Real time Twitter analytics.

Who likes using real time social media tools? We all do right? So I just had to give this new tool from Shingly a road test “Social Media Jedi style!” So what can we do with it? Shingly can “monitor your favorite subjects on Twitter, discover who is talking and what is being said in real time”. It is not a tool for finding historical tweets. So lets get started. You can read this blog post or just go ahead and sign up for a free trial at

The Tutorial.

Once you have signed up, you will be invited to go through the tutorial. This is a great way to get to know your way around. You will be minutes away from your first “recording”.



This is how you gather your results, based on your choice of keywords. Shingly supports single and multiple character wildcard searches and OR, NOT and ‘-’ as Boolean operators, the AND operator is the default conjunction operator. image

For my case study, I decided to use the Manchester United vs. Everton football match that was happening while I was using the Shingly tool.
Everton was not getting much success out of the game so Twitter was reflecting the concern of the Everton supporters and the neutrals, plus the Manchester City fans ;-). There was also a lot of Twitter buzz about Jose Mourinho attending the match, which added to the Twitter volume, so this would be a good case study example. I entered my search term and the tool started recording. I could pause it at any time, and I could view the “tweets per minute” figures my holding my mouse over the recording curve. I paused it after 2 minutes as I had over 650 tweets recorded in that short time frame.

The Dashboard.

I clicked the explore menu choice to view the dashboard. This is where I could filter, count, search and share the results from the various parts of the explore section. The first thing I noticed was the graphic area at the top where the timeline of recorded tweets was displayed.


The markers could be adjusted to tune in to any part of the period I had recorded. Below the graphic area there were four tabs:

  • Tweets
  • Pebbles
  • Retweets
  • Annotations.

The “Pebbles” tab lists the main influencers from the twitter accounts included in the results set. In my case I had a few, but below I show the top two:


The first Twitter user retweeted a tweet from the Real Madrid verified Twitter account about their manager, Jose Mourinho. The first listed Twitter user was responsible for many others seeing this tweet. In total, it was retweeted over 440 times:


The second one was an original tweet from the Indonesian ManUtd ‏Twitter account with over 69,000 followers.

I could click the details button on any tweet to show how I would be able to engage, and this section also displayed other influence data like the Klout score of the sender and the true reach score:


In this case, the Klout score was 42 and the true reach score was 74:


The retweets tab is where I could see a breakdown of the tweets vs. retweets. Here is the breakdown of the results for the 2 minutes of Twitter activity that I recorded for the Manchester United vs. Everton football match:


The last tab was for annotations. I made an annotation at a random moment in time and labelled it “Clive’s marker”. It then appeared in the graphic area like this:


Tagging tweets.

The main navigation item “Tags” enabled me to create tags that could be applied to tweets which I could then focus on and maybe reply to or retweet. I created a tag called “goal_1”, then picked two tweets from the tweet list and toggled the tag button so that I could tag them with my new tag:


The search and filter area.

This side bar allowed me to search and filter my recorded tweets. This was where all the fun was. At this time I noticed that the Everton fans were having no fun at all, as the match was coming to an end and they were looking less and less likely to score against Manchester United. Oh well.


The side bar allowed me to see various sets of data. I could sort the results into a list and search the list. I could also view the data as a word cloud:


Some interesting stats were available, like the most used URLs and Twitter accounts (shown under Media). I could also see the most used devices to create the tweets captured in my recording:


Notification Settings.

Click on your account name in the top right hand corner of Shingly and there you will find the notifications settings button. In this section you can vary how you want to be notified. For example there is a limit to the amount of data the tool can collect, so you can choose to get a direct message tweet when the limit is reached:


Sharing the results.

You can bookmark your results and then select them to be private so that only you can see them, or you can make them public. I tested this functionality. Shingly is picky about the browser versions that it supports, so you will get a warning if you try and view results using a browser version it does not support. I made my results public for my case study. You can view them here. Sometimes I saw that parts of the results page did not load any data, but this was the only aspect of Shingly that I had minor issues with not working as well as it should.

In summary

Shingly real time Twitter analytics was easy to use, and very quick to get up and running with. I would have liked more flexible download options, like CSV, png etc.

I found many ways to get more information and case studies about Shingly:

I liked the blog as it was located on Tumblr!

If you want more immediate contact, you can select select the feedback button in the lower right corner of all the screens:


Lastly, here is a quick video recap, but I suggest to sign up and try it out for yourself. It is free and it only takes a few moments to get results. Remember that this tool is not for historical results, just real time Twitter analysis.

Have fun and let me know what you think about it.


Clive Roach

About The Author:
Clive Roach is the social media strategist for Philips Healthcare. He is active with strategy development, activation, governance, projects and educational training activities for all aspects of social media within Philips Healthcare. Clive has been working in the eMarketing area since 1997, and previously held roles in engineering, design and sales. Clive is also practical in addition to his current strategic role. In addition to this blog, he tweets daily on three Twitter accounts, has two Facebook fan pages, Google+, Pinterest,, Instagram, and participates in many other social networks.

Connect with the author via: Twitter | Google+ | LinkedIn | Facebook fan page

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