Have you ever thought it might be cool to have an archive of all of your Tweets, beginning with the very first one you posted way back when? Or perhaps you have a business or legal reason for having an archive of all your Tweets on hand? Follow these steps if you use Twitter in a web browser on a laptop or desktop computer:. Note: Depending on the number of Tweets in your archive, it could take anywhere from a few minutes to several days for the in-app notification or email to arrive.
So, do you want to know how to look at old tweets and get historical data? Keep reading! Try Twitter Historical Data. Tweet Binder reports offer a wide range of statistics that will help during the analysis of any Twitter marketing campaign. We do not only provide the number of tweets and its classification but also the number of potential Twitter impressions, potential reach and even a resume of the original content shared.
To analyze the users that have participated we offer more than 10 rankings of users such as most active, most popular, top engager or top photographers. These come in very handy to detect top twitter accounts that participated in the campaign. Along with the general statistics, we also provide the economic value of the hashtag or term analyze. This metric stands for the amount of money we would have had to pay in the market in order to get the number of tweets and Twitter impressions we got.
This is a very relevant metric as it can help to see if the campaign has been profitable or not. There is a lot to write about the economic value and we have dedicated several posts to this metric.
Obtaining Twitter historical data is not only very easy but also very useful. Back in there were not as many social media tracking tools as there are now and some campaigns were left without a social analysis.
Now it is the time to create your Twitter historical reports and discover the impact your campaign had back then. If you want to analyze any hashtag and create historical reports or a Twitter archive, you should contact Tweet Binder. If you are a PRO user, it is your time to try it and collect all historical Twitter data.
If you buy twitter data with us you will get a lot of stats. If you are not familiar with our Twitter reports, get ready to get your mind blown away. Our historical analytics reports include all these Twitter metrics:. In fact, these are some of the Twitter stats we include in our reports.
But there are more. Tweet Binder Historical Reports give you the chance to make the most out of this feature. By using it, you will be able to classify tweets and put in order all the information or if you want to analyze the relation between Twitter and Bitcoin. That way, besides the visual part of the report, you also get a tool that gives you the chance to manage the information as you need and focus it to your objectives.
When trying to look for Twitter historical data we can come across tons of different Twitter analytics tools. Before knowing which tweet tracker we want to use, we need to know exactly what we want to analyze. We are saying this because some tools may be useful and others may not offer what we need.
With Tweet Binder you can obtain Twitter historical stats with no time limit. If your campaign took place in , you can get a twitter analytics report of its impact, reach and much more. When can these types of reports come in handy? Well, there are several answers to this question, we will see some examples. Most companies and agencies throw the same event each year using the same hashtag. You can analyze old tweets and you will see that many events or TV shows do that.
We have come across lots of clients that have purchased an event analysis for with us but they also wanted to compare its performance with the event they had in , or previous years.
Those old tweets are still there and can be analyzed if they are public and even you can analyze the sentiment of those tweets. This is the best way to measure the efficiency of your event. You can compare if it has had more or less tweets or if its Twitter impressions have increased or decreased. As all our reports are exported to an Excel file, later on it is possible to contrast the users that have participated this year with the ones from earlier years.
This can also be applied to music festivals or sport events. Besides events that use the same hashtag, we can also compare historical data of different affairs that may occur regularly. For example, the release of a new album by a music group, the launching of a new season of a TV series, Twitter politics events, etc.
We are going to compare the launching of this album with when they launched in No Sound Without Silence. Before analyzing the data it is important to outline that the Script Family has been waiting for this new album for three long years so it is normal that FreedomChild has more repercussion than NSWS.
After having seen all the numbers of the analysis you have gone through, it is time to jump to some conclusions. We derive these analytics from the raw Tweet data provided by Twitter. You can find lots of useful metrics below:. Tweet timeline shows the number of Tweets posted by the Twitter account in chronological order. It shows how active the Twitter account was in the past few months. Following are the applications of a Tweet timeline:.
The Client source shows the variety of devices used by the Twitter account to post the tweets. It has the following applications:. This heat map shows the pattern of Tweets posted by the Twitter account. It shows how many tweets the Twitter user has posted at what time and on which day.
Following are the applications of this graph:. This predictive analytic calculates the best time at which the Twitter user should tweet to get the maximum exposure and retweets.
It is calculated based on retweets gained by those tweets which were tweeted at a particular time. For example, if a user has tweeted a total of tweets between pm to pm since the account creation date. Now take the median of all the retweets received by these tweets to get the average retweets per tweet. The higher the average, the better the time to tweet. Those keywords and usernames which the Twitter user has mentioned the most in their tweet contents.
This analytic helps to:. Get a list of the tweets of the Twitter user which received most retweets and likes. Here are its applications:.
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