Originally published on Netskills Voices
Twitter has recently rolled out a new Analytics tool to the majority of its users so you can now see a little bit more about what happens in the life of one of your tweets. Is this going to be useful information for you?
Gauging the impact of your use of Twitter has, for most people, been a bit of a hit and miss affair. What do you measure? Total number of tweets, replies, RTs or favourites? These have always been quite crude measures.
Until now, the more sophisticated tools have required either detailed technical knowledge or have come with a significant cost attached. Twitter’s Analytics service seems to fill a gap between what’s easily available for free on their main site and the more commercial tools.
This couldn’t be simpler, really. Go to http://analytics.twitter.com and sign into your Twitter account if you haven’t already done so.
If it all looks a bit empty when you get there, it’s because it only activates when you first visit the site. No retrospective data is available. Tweet away and you’ll find the data starts to appear.
What does it tell you?
For each tweet (only manual RT’s show up) you can see how many impressions you made and what level of engagement each tweet had. An impression means simply that a tweet has been delivered to someone’s Twitter timeline. It doesn’t mean they have actually seen it.
The engagement measure is a bit more interesting. This means that a Twitter user has done something with your tweet. Drilling down by clicking on this figure shows you that this can include things like:
- Link clicks (if there is one in the tweet)
- Hashtag clicks
- Embedded media clicks…
- …and a few others
The most potentially useful piece of data you can get from the tool is the engagement rate, a simple measure of the number of engagements divided by the number of impressions. This means you can say things like “well only 50 people saw that tweet but I know that 63% of them clicked the link to our website” which is much more data than you’ve been able to get this easily before.
There’s a handy bar chart showing variable activity over the last 24 hours. The whole thing is fairly intuitive and well presented.
If you want to do more interesting data analysis you can export the data as a CSV file.
You can also get a profile of your followers showing gender, location and “interests”. There is little indication how these interests are worked out. Education is high on the list for my followers as you’d expect. Apparently 29% of my followers like “comedy”.
It’s also restricted to your own tweets, replies and promoted tweets. If you want to track a conference hashtag then there’s not much for you here.
Quantity or quality?
If you’ve used something like Google Analytics you’ll notice that there’s a wealth of data that just isn’t available here. For example, there’s no indication of how or where people are engaging with your individual tweets. It might be interesting to see the geographical reach of a single tweet or perhaps what devices people are viewing it on.
One of the things we emphasise on our blogging workshop is that this quantitative data isn’t the be all and end all of social media.
It tells you nothing about the quality of your interactions with people or organisations. You could be the most outrageous troll sporting a fantastic engagement rate but leaving discussions, reputations or emotions in tatters in your wake.
Additionally, number of impressions or engagement rates may not even be important information for you. As an individual, I don’t use Twitter to have loads of followers, RT’s etc. I use it to have and follow conversations, the value of which isn’t determined by my engagement rate.
Is the data valuable?
Why is Twitter making this available now? That’s unclear but it could be argued that if people can see what happens with a tweet it’s more likely to encourage increased use with all the benefits in data and monetisation that you’d expect Twitter to want.
But does the user get enough benefit to balance that out? Although there are now more numbers to look at, the data is still pretty crude and requires proper interpretation (or leaps of imagination!) to derive much meaning from it.
The tool certainly gives you more information than has been available through Twitter in the past. The additional data might be useful if you are trying to set targets for an organisation’s Twitter account or need ammunition to convince others that use of Twitter is worthwhile.
So, have a look if you’re responsible for managing your team’s Twitter account, are in charge of the marketing for an event or are an individual curious to get a better picture of what happens after your click the Tweet button. There might be some useful insights in there.
But don’t be seduced by the lure of lots of numbers if they’re not actually that important to you! Just because you can measure something doesn’t mean that it’s actually worth measuring.