Introducing New Followerwonk Engagement Metrics for Twitter
We’re very excited to allow you to look into some of the exciting new metrics we’ve released today!(Click here)This data is more than “simple” (yet necessary!) things like follower count, friend count, etc. (things that are readily available for our application to analyze). The new metrics we’ve developed require us to delve into Twitter users’ timelines (their tweets and Retweets). We can provide data that provide new ways to gain insight into your customers, competitors, and potential customers.
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Now, without further ado, Let’s look at the screenshot…
As you can see, we give you the overall engagement percentage of users. This tells you how often a user interacts with other users on Twitter. For instance, users who have 82% engagement indicate that 82% of their sampled items from their timelines are retweets, @mentions, or mentions of other users.
This engagement metric comprises two raw scores, which we additionally present to you. @Contact is the proportion of a user’s timeline, which is comprised of tweets that directly reference someone else (you know, tweets that begins with the @name). Retweets are the proportion of retweets on their timeline.
Also, in the Tweets that contain URLs, we’ll show you how often tweets have URLs.
There are many various strategies that you can make use for this data, and I’d like to show you several different scenarios that’ll be able to show you how we’re using this data right this moment. (We plan to develop more thorough methods of bringing the data to you over the next year.)
A few cautions before I start the discussion: the data I am presenting will be “expensive.” It is a huge undertaking that requires API requests, data storage, and analysis. Therefore, we currently only provide these statistics on selected Twitter users, namely those with more than 500 followers and, obviously, all of our Pro Members’ Twitter accounts. (We are planning to continue to extend these metrics to more significant portions of people on Twitter.) We believe that the data is valid and, therefore, it’s only accessible to PRO subscribers. (If you’re not an active subscriber, this might be the perfect reason to invite you in!)
Broadcasters vs. Listeners
The main point is that you want to find people who are likely to be open to @mentions and who have been actively consuming your tweets if they adhere to you on Twitter. There’s nothing inherently negative about “broadcasters” (those that don’t engage in conversation but tweet observations and URLs). Indeed, these accounts are usually prevalent because they’ve developed a specific messaging strategy that is effective.
The real value in social media is finding an audience that is listening to your messages: that is, they’re likely to be interested in you, consume your tweets, and then retweet your messages to their networks. The ideal situation is to locate a receptive audience in the top tier of prominent users (those who tweet you and, when they do so or share your content, will repeat your message across the globe).
In this regard, We can utilize Followerwonk’s bio search function to search for users with the word, for instance, “SEO,” on their bio. The results are in a sorting order based on followers (a valuable indicator of influence ), but you can also sort them by influence) Then, we can then click on every user’s engagement rate to understand the likelihood that they will be able to return to them via an @mention.
If we examine the proportion of their tweets containing URLs, we can identify accounts of little worth (and which could also be spammers).
Finding the most open-minded customers
While searching through the profiles of random Twitter users can be helpful, it’s not as efficient as analyzing who you are following right now. . For instance, when you use your advanced options of the search, you can restrict results to only your followers. This allows you to find “SEO” users, but only those who follow you.
Naturally, we have features that allow us to analyze all your followers more effectively. It’s called Analyze.
We’ve added several new graphs to show these new metrics to you.
By examining the followers of @followerwonk, we can see the followers we follow through their engagement. The reports are available for your account (or on your friends, competitors, customers, competitors, or any other group of people). In this way, you can select one of the segments to see overlays of users within the segment. When you click on them, we provide you with more details about their activities:
Of course, you’re not restricted only to the interface. Hit the download button, and you’ll get the Excel (or CSV) report of all your followers’ activity on your desktop in minutes. This will allow you to accomplish all kinds of things.
This is where I can analyze this data to identify the users who tweet URLs that are 100. This is a powerful spam message (but not always, obviously). There’s a possibility that the followers who are “spammy” could decrease the overall influence of your network or reach. This could be like receiving links to your site from “bad neighbors” websites in specific ways. What should you do? Here’s how you can increase the number of followers (admit you thought it was an odd phrase when I mentioned it earlier!). Utilize these spreadsheets to compile an inventory of spam accounts. Do further examination of these accounts (looking at their tweets, for instance). You might also consider requiring them to remove you from their followers. How? Stop them.
Finding a competitive sweet spot
Let’s suppose you’re a new soda business. (Is there a term for it nowadays?)
You’ll want to actively court the customers likely to spread your corn syrup message of goodness to the masses. Here’s how to use Followerwonk to assist. In this case, we’ll look at three big players within the soda industry:
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