Has immense potential but is not where it needs to be yet
October 26, 2013

Has immense potential but is not where it needs to be yet

Pranav Chandrasekhar | TrustRadius Reviewer
Score 5 out of 10
Vetted Review
Verified User
Review Source

Software Version


Modules Used

  • Free version

Overall Satisfaction

  • The times at which I was recommended to tweet were for the most part good times to tweet in the context of my Twitter follower base.
  • The list of most engaged facebook fanpage followers allowed me to identify my most loyal Facebook fans. This was useful at a time when I was contemplating "fan rewards".
  • Graphical visualization tool to show relative social media footprint of each tweet and facebook fanpage wallpost. Twitter and Facebook are captured separately - which makes sense.
  • The ranked order of twitter followers and the number of "tweet impressions" did not help that much. Those "tweet impressions" were not really an estimate of how many people were actually reading my tweet. It was simply a sum of followers of the person retweeting a tweet and the sum of all followers from a subsequent retweet of the initial retweet. All this told me was the best case scenario I could expect if ALL followers of a person that retweeted saw my tweet. This is not a true measure of "twitter footprint" – since the “signal to noise” ratio in Twitter is very low.
  • There was no system in place to track "clicked links" for links embedded in tweets and/or facebook wall posts. Hootsuite did a good job of this – but only for twitter.
  • The list of recommended times to tweet were always "on the hour" (i.e. 10 a.m, 1 p.m.). Never were the times ever at "half past the hour" etc. An independent study that I did on my own using Google Analytics (and campaign links using google's URL builder) helped me determine that my optimal "Tweet time" during the week is 3:30 p.m. ET. More importantly, the recommended times seemed to be roughly the same on the weekends - which I find strange given that social media behavior does change on the weekends.
  • Occasionally, in my facebook ranked table of "loyal fans", I would see people in there that had not "liked" or "commented" on a post for months at a stretch and the "look back" period of the table was only around 7 days or so. Hence, I occasionally had to question the accuracy of that table.
  • It has helped with customer acquisition through Twitter.
  • Helped quickly assess loyal fans for a reward system - which in turn boosts customer loyalty and helped alleviate churn.
  • Helped inform timing of tweets and facebook fanpage wall posts.
Crowdbooster has elements of a great social media dashboard but for a brand (i.e. my radio station) that is currently focused primarily on customer acquisition, more actionable data is needed - such as "number of clicks" on links embedded in facebook wallposts and tweets, "actual" reach of a wallpost or tweet, and a list of recommended twitter handles based on their degree of connectivity with other twitter handles that discuss specific topics or specific twitter handles.
1. What actionable analytics do you provide?

2. Do the tracking systems of Crowdbooster examine weekend social media behavior differently?