The Twitter Insights Tab gives you a better understanding of your Twitter results.
Let's breakdown each widget within Twitter Insights below:
NOTE: This tab is filtered by the source Twitter. All data on this tab is for Twitter only.
Key metrics for Twitter
Breaking out key twitter metrics into five separate widgets.
Twitter Mentions
The total volume of tweets, the percentage change compared to the previous period, and the activity trend during the current period.
Authors
The number of unique Twitter handles, the percentage change compared to the previous period, and the user trend during the current period.
Views
The number of views on all Twitter mentions. Anyone logged into Twitter who views a Tweet counts as a view, regardless of where they see it (e.g., Home, Search, Profiles, etc.) or whether or not they follow the author.
Est. Reach
Reach is an estimate of the deduplicated follower count for all unique Twitter handles. It is an estimate of the potential total audience of the tweets.
Est. Impressions
An estimate calculation based on the number of followers per author. If an author has tweeted multiple times, they will be counted for each tweet. The percentage change compared to the previous period and the trend during the current period.
Each metric contains the following information:
Metric name
Metric total volume
Percentage change versus the previous period (based on the date selected. Green = positive, red = negative, grey = no change)
Previous period total volume
Trend line
Download options
Widget information hover
Tweet type breakdown
This widget displays tweet types: original tweets, replies, retweets, and quoted tweets. This is analysis displayed in two ways.
The donut chart shows the breakdown of tweet types. Hover over the chart to see the percentage of mentions by tweet type.
The activity graph shows tweet type per day. Hover over a point on the graph to see the number of Twitter mentions by tweet type per day.
Sentiment breakdown for Twitter
Sentiment is derived from our natural language processing algorithms. The sentiment of a mention will either be rated Positive, Neutral, Negative, or Not Rated. A mention will be labeled as Not Rated if it does not have enough text to analyze sentiment.
This widget displays sentiment in two ways.
The donut chart shows the overall tonality of Twitter mentions in your results. Hover over a sentiment-type to see the percentage of Twitter mentions with that sentiment. To drill down by sentiment, click on a sentiment type and it will apply the sentiment filter to the query.
The activity graph shows Twitter mentions by sentiment per day. Hover over a point on the graph to see the number of Twitter mentions by sentiment per day. To drill down by sentiment, click on a sentiment type and it will update the query date range and apply the sentiment filter to the query.
To read more about sentiment and how to override sentiment, click here.
Top keywords
This widget shows the top keywords from Twitter mentions associated with your query.
To see how many times a top keyword appeared in your results, hover over the word. To see all mentions for a specific top keyword, click on the word. Explore will add a sub keyword filter with the word you selected to the query.
Top positive keywords
This widget shows the top keywords from Twitter mentions with positive sentiment associated with your query.
To see how many times a top keyword appeared in your results with positive sentiment, hover over the word. To see all mentions for a specific top keyword, click on the word. Explore will add a sub keyword and sentiment filter with the word you selected to the query.
Top negative keywords
This widget shows the top keywords from Twitter mentions with negative sentiment associated with your query.
To see how many times a top keyword appeared in your results with negative sentiment, hover over the word. To see all mentions for a specific top keyword, click on the word. Explore will add a sub keyword and sentiment filter with the word you selected to the query.
Top emojis
This widget shows the top emojis from Twitter mentions associated with your query. To see how many times a top keyword appeared in your results, hover over the emoji.
Authors by authority level
This widget shows the authority score of users that tweeted with your keywords within the time range selected. We categorize authority score into three levels: high, medium, and low.
Authority score is assigned using a proprietary algorithm based on number of followers.
Most retweeted
Most Retweeted displays the most retweeted tweets that contain your keywords and that have been retweeted within your given time frame. This means that you may see tweets that fall outside your selected time frame, as they have continued to be retweeted within the time frame selected. This analytic will return up to 60 tweets.
Clicking on the handle or author name will open up the author's Twitter page. Clicking on the date and time will open up the exact tweet.
Top hashtags
This widget shows the top Twitter hashtags associated with your query.
To see how many times a top hashtag appeared in your results, hover over the hashtag. To see all mentions for a specific top hashtag, click on the hashtag. Explore will add a sub keyword filter with the hashtag you selected to the query.
Top Twitter authors
This widget displays the six authors from your results that have the highest follower count. It also shows the number of times an author appeared in your results.
Top Locations
This widget shows the distribution of Twitter mentions according to the location in which the user posted the mention.
Hover over a specific location to show the number of occurrences. To see all mentions from a specific location, click on the location.
Click the drop-down filter that says country, to drill down by State/Province, or City.
Gender Breakdown
This widget is based on tweets from authors for which we were able to infer gender, using their name. Tweets may not have a gender associated because personal info was unavailable or because it is an organization Twitter account without an associated gender. We currently do not have a way of identifying non-binary gender, so authors are identified as Male or Female.
To learn more about the additional explore tabs check out the pages below:
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