When it launched last year, Twitter Analytics marked a solid (if long overdue) move towards greater transparency and measurement abilities for users. And since then, Twitter has continued to make upgrades to the tool, most recently by adding analytics access in its mobile app.
Though users now have more insight into their Twitter account metrics, many aren’t using them to their full potential. They’ve poked around the Twitter Analytics Dashboard and figured out they can track impressions and metrics by promoted or organic activity … and that’s about it.
The good news is there’s much more you can discover in your Tweet Dashboard — you’ve just got to know where to look. Beyond the basic metrics, here are some incredibly important things you can discover about your Twitter account and audience using Tweet Analytics.
Understanding which types of content and topics your audience members most enjoy can help drive your social marketing and content strategy. What’s the point in sharing content no one cares about or enjoys?
In the “Tweets” tab, you can see Impressions, Engagements and Engagement Rate (Engagements divided by Impressions) for each tweet, both for paid and organic posts. Engagements include all activity on the tweet: retweets, follows, replies, favorites, and all clicks on the tweet, link, hashtag, avatar, etc.
For a more granular view of the volume of each type of engagement, you can click on the specific tweet:
Understanding which content items get the most engagement on Twitter is huge. If you can even commit 10 minutes a week to recording your top five or ten tweets by engagement so you can start seeing trends over time — and then applying those insights to future tweets — you’ll be able to better connect with your audience.
This is a really common question among social media marketers and brands: When is the best time for me to tweet?
Some tools can analyze your Twitter followers and recommend the best time for you to tweet. There’s also research out there showing when people are most likely to be active on Twitter. But of course, the best way to get to know your own audience is through your own account data.
In the Tweet Details view mentioned above, you can see the total number of impressions by the hour for the first 24 hours:
This feature will be even more powerful if Twitter adds the ability to see this data over custom ranges and for the lifetime of the tweet.
One of the things you’ll notice is that tweet engagement drops off ridiculously quickly as time passes. For example, for my account, half of the engagement happens within the first 2 hours, and the rest very slowly trickles in over a few days.
Twitter’s audience data in the “Followers” tab contains a ton of valuable and useful insights. This is where you can really get to know the people who follow you.
You’ll find answers to questions like: Are your audience members more likely to be male or female? Which countries and cities are the majority from? What are their top interests? You can also see who your followers follow as well as your follower’s top five most unique interests. Answering these questions can help you better identify what content to create and share on Twitter — and when to share it.
In future upgrades, it would be awesome to see more demographic information, with the ability to drill down into data and even overlay demographics. That would really help social media marketers get a better handle on their different audience segments. Call that my Twitter Analytics wish list for Santa.
I’d call myself a Twitter power user now, but it wasn’t always so. For several years, I slowly grew my following up to about 8,000 followers. In the past year that I’ve really focused on my Twitter presence, I’ve picked up another 24,000!
Now, Twitter allows you to track your follower growth. Twitter Analytics shows you how many followers you had on any given day with the interactive timeline pictured below. Hovering over various points on the timeline will show you the exact follow count on that day. It spans back to the day your account was started.
If you’re seeing blips in your follower count over time, it’s important to revisit your activity in those periods and see if you can learn from it. How often were you posting then — and what were you posting about? Were you taking time to reply to folks, too? Answering questions like these can help you explain these blips — and avoid the same mistakes in the future.
I’ve been experimenting recently with paid promotions on Twitter. After reviewing my own data in Twitter Analytics, I realized my ads weren’t as effective as I thought they would be.
In the Tweets tab, right at the top, there’s a chart that gives an overview of your paid and organic tweet performance. Like other Twitter Analytics charts, this one is interactive, so hovering over specific parts will show you more precise numbers, as in the example below. Keep in mind that the data only goes back 91 days, so take advantage of the ability to export it regularly. You can make comparisons over longer periods of time in another program.
I’m not spending a ton on paid promotions — around $100 a day when I use them — but at a glance, I can see that compared to organic posts, they’re not having a huge effect. If I were running specific promotions, I’d be interested in the Conversions information available in Twitter Analytics. But for getting more impressions on my content, it doesn’t seem worth it because I could get that exposure for free by just tweeting a few extra times per day.
Obviously, this will vary for every user, but this panel in Twitter Analytics is a pretty simply way to see what you need to make that decision.
Just below that chart, you can click “promoted” to see all of your paid promotions in chronological order. This shows you how many engagements and impressions each one earned, helping you pinpoint which paid promotions are working (and which ones aren’t).
Twitter Analytics is great as an interactive dashboard for accessing increasingly granular data about your Twitter account performance.
The most useful feature I’ve found is the ability to export data from the Twitter API as a CSV file. Even power users with a ton of account activity can fairly quickly export their Analytics data.
To export your data, select the timeframe you’d like to use, and click the “Export Data” button in the top right corner of your Twitter Analytics Dashboard.
You can then sort through your exported data using Excel in ways not possible within the platform itself. For example, I extracted the time of day of my last 2500 tweets and plotted the tweet engagement rate vs. time of day, as shown here:
What I found was that the engagement rate (i.e. the # of engagements / impressions) held steady (on average) regardless of the time of day — possibly because I have a ton of international followers. It got me thinking that I really ought to be scheduling my content for all hours of the day, not just during business hours in my local time zone. Sure, fewer people will see my updates at 2 a.m. local time, but those who do are just as likely to engage with the content as those who see it during business hours.
There are so many other columns of data in the CSV export, including number of favorites, retweets, link clicks, replies, URL clicks, follows, etc. So you can do this kind of customized analysis on whatever metrics you care most about.
Ultimately, the best data is your own, so make time to check out Twitter Analytics and see what you can learn and do with it. Figure out which tweets resonate and why. Then, work those insights into your social media marketing strategy for a more successful way forward.