Historical hashtag statistics and data are historical data from past trends, while Twitter hashtag data includes tweets, user interactions, and metadata. Historical hashtag statistics track conversations, trends, and public sentiment, while Twitter hashtag stats provide analytical insights on hashtag performance and popularity, including total tweets, retweets, and impressions.
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Please note, all the analytics are derived from the information provided to us and calculated as the estimation results. We don’t claim the accuracy of the analytics.
Following are the basic but very important analytics provided by our tool:
Tweet timeline shows timeline analytics to give you every tweet and number of tweets posted in the given period. The following are the timeline statistics:
We find top users who have contributed in the hashtag campaign. They can be categorized into following:
Our tool finds the most popular tweets among all the tweets of the hashtag campaign. The top tweets can be categorized into the following:
A list of platforms which are used for sending out the tweets mentioning the particular hashtag. The client source could be the X (Twitter) website, iPhone app, Android app etc.
The graph shows various languages which are used by X (Twitter) users to post the tweets. With the help of these hashtag metrics, you can identify that the hashtag is active in which region.
You will get details of all the users contributed to posting tweets containing your X (Twitter) hashtag campaign. On the basis of raw X (Twitter) data, we can find and sort the top contributors of a X (Twitter) campaign.
Hashtags and media are very important to write any social media campaign. To predict which media and hashtag performing the best is very important to know. Our tool helps to find out the top related media and hashtags for you. Our X (Twitter) Hashtag analytics provide:
TrackMyHashtag provides other hashtag trends statistics also, such as:
Word Cloud: Word cloud of all the hashtags which are used the most along with our main hashtag.
Contributors’ X (Twitter) Age: The graph shows in which year the users joined X (Twitter). Contributors’ X (Twitter) age helps in predicting fake users.
Top URLs: URLs which are used the most in the tweets mentioning the hashtag.