Watch live as your event drives potential brand impressions. React quickly to maximize the impact of top contributors and content. Check it out with this demo report.
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Running totals show the impact of your event as it is amplified from contributors to impressions.
Total number of contributors since the beginning of the report.
Total number of tweets generated by your contributors.
Each of your contributors has followers, if you add up all your contributors plus their followers you get the total potential reach of your event. Some contributors may have overlap in their followers. This number is the potential reach if every contributor has a unique set of followers.
During most events, some contributors will tweet more than once, generating multiple impressions on their followers. This is the total potential number of impressions over the report. Note, there are different ways to handle @replies when calculating impressions. The only users that will receive a notification (impression) of the @reply are users that follow both parties. We stick with the assumption of no overlap in followers so only the sender and receiver are counted toward total impressions.
Activity over the course of your event. Correlate the timing of specific tweets and elements of your event to bursts of activity.
Total number of unique contributors within each window of time on the histogram.
Total number of tweets generated within each window of time on the histogram. The relative height of tweets to contributors is a quick indicator of the frequency that your contributors are tweeting.
Impact over the course of your event. Correlate the timing of specific tweets and elements of your event to ultimate successes driving brand impressions.
Potential reach over time. If reach jumps up but you don't see much change in the Tweets Histogram above that indicates you have some users with a lot of followers contributing to your feed. In contrast, if you see a jump in the Tweets Histogram but not much change in reach you have something of interest creating activity but no power users contributing. Those pockets of activity are potential gold mines of viral content to get behind with a retweet that has a lot of followers.
Potential impressions over time. The relative height of impressions to reach may correlate with the relative height of tweets to contributors or it may indicate multiple tweet activity from power users.
Track top 20 contributors and tweets by the number of impressions generated during your event. Unpack the details of your event that resulted in brand impressions.
Number of users following the individual which is also the reach of the individual. Every time this person tweets they are credited with impressions on their followers so if they tweet twice, their impression count will grow by twice their number of followers.
The total number of potential impressions the user or tweet has caused during the course of the event. Any activity before or after the event is not counted. When a tweet is retweeted both the tweet and the original user are credited with the additional impressions.
The total number of tweets sent during the course of the event. It is possible for a user and/or their tweet to show up in the top 20 list even though they did not send a tweet during the event. Retweets of a tweet sent prior to the event can still generate impressions during the event. In the example below, @933FLZ has a tweet count of 0 and the tweet shown in second place has a time stamp, "Before Event". The tweet generated over 13 million potential impressions just from retweets. Note, the tweet from @5SOS is one of the retweets and alone contributed to over 5 million of the impressions counted.
The total number of times the user or tweet has been retweeted during the course of the event. Again, retweets before or after the event are not counted. In the example below, the celebrity @ddlovato tweeted once, generating over 25 million impressions from her own followers. During the course of the event that one tweet was retweeted 4,419 times generating about another 11 million impressions.
Use the time stamp on the tweets to correlate to activity and impact in the histograms.