In December 2021, Meltwater released a new and improved Authors Tab experience in Explore. Most Explore customers can access the experience (at no additional cost). The experience amounts to what we call an Open Beta program, under which we invite customer feedback and commit to future improvements.

Key Differences and Value

Whereas most of the Explore experience looks at 'what' people are saying, the new Authors Tab begins to uncover the 'who' behind the conversation. In addition to the list of influencers that the legacy Authors Tab surfaces, the new experience uncovers the demographics, top professions, and interests of the people tweeting about the topics and companies most relevant to you.

Marketers can use the new information found at the Authors Tab to more meaningfully activate and engage their online audiences.

As always, and unique to the Explore experience, you can run unlimited searches within the Authors Tab.

Let's break down how it works and its key components.

Running a Search

Like the legacy experience, the Authors Tab is powered by your searches. Simply run a keyword search, and the Authors Tab will populate with information from the groups of people talking about the term(s) in your search. The Authors Tab looks at social media authors and commenters exclusively on Twitter.

An Overview of the New Visualizations

On the right side of your screen, you'll find the new visualizations. Let's explain each one.

Unique Twitter Authors

The 'Unique Twitter Authors' figure represents the number of authors who have tweeted at least once about the term found in your search. If, for example, one author tweets five separate times while incorporating your search term(s), that author will be counted just once against the total number of unique authors.

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Twitter Verification

Twitter Verification represents a percentage breakdown of the authors tweeting about your search term who are verified versus not verified. Verified users tend to represent authors with a large following and strong influence. In effect, this figure shows you how much of the conversation is dominated by key opinion leaders versus everyday, normal Twitter users.

Gender Breakdown

The gender breakdown estimates the split between male and female authors. The gender of authors is inferred through our ML-based models that look at data like name, screen name and profile description.

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Age Breakdown

The age breakdown segments authors by age categories. The age categories are 13 to 17, 18 to 24, 25 to 34, 35 to 44, 45 to 54, 55-64, and 65+. The age of an author is determined by our ML-models as well, looking at a combination of declarative data and inferred data from the user's profile.

Top Author Location

Top Author Location shows you where the authors are physically located or tweeting when they tweet about your search terms.

Top Professions

The top professions represent the most common occupations of the authors tweeting about your search term. Meltwater generates this information by analyzing and finding any professional terms found within the Twitter user's profile. If your audience includes researchers or academics, you'll know to heighten the sophistication and seriousness of your langauge. If, when running a search on 'cats', you find a contingent of authors identify as 'rescuers', you'll know to channel this passion and empathy in your messaging.

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Top Bio Keywords

Using the public information declared by each user across their profiles, we can run a keyword cloud visualization to show the relative frequency of terms. This will help you find patterns in how your audience thinks, describes, or identifies themselves to the rest of the world. Again, you can use this information and mirror it across your copy, CTAs, and ad-creative.

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Top Interests

Of course, audiences don't think of themselves just in terms of their age, race, and jobs. Especially today's digital consumers, they like to think of themselves in terms of affinities, hobbies, and interests. When looking at their historical Tweets and Re-tweets, Meltwater can surface your audience's top interests. Interests can include Sports, Travel, Science, Movies and TV, and more. We generate these interests by looking at each author's timeline of tweets and re-tweets. Knowing this information can help you identify the unique and shared attributes of a particular audience, and again help you activate and engage in a more meaningful and familiar way. Knowing what you know about their interests, how can you better entertain, educate and inspire your audience?

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Top Languages

Lastly, Meltwater will show you the top languages of the authors tweeting about the topic found in your search terms. We generate the language breakdown by determining the predominant language used by the author across their tweets.

Discovering Authors

Like the legacy experience, the Authors Tab captures the key opinion leaders engaging in the conversation. Each Author profile card will include:

  • Total Follower Count

  • Number of people they are following

  • Total number of Tweets

  • Authority Score: Equation that factors follower count compared to number of people following them. Score can be impacted by another point based on total number of tweets, and frequency of keywords in search results.

Add Authors to an 'Author List'

Add Authors to a list by either selecting all results or individually selecting authors based on your requirements. You can complete the step by clicking the ‘Add to list’ button. You’ll then be prompted to add the authors to an existing list or create a new one.

In a similar fashion, you can export the list of Authors as a CSV file. You’ll notice the export option by hovering over the ‘down arrow’ option.

That's it for now. Stay tuned for more developments in the future.

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Learn more about the widgets within the Overview tab here.

Learn more about the widgets within the Analytics tab here.

Learn more about the widgets within the Twitter Insights tab here.

Thank you for reading. If you have any further questions, feel free to reach out to us via Live Chat!

Team Meltwater

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