
- Engagement rate: Engagement shows that when you throw a tweet at the universe,
it is not lost in a virtual abyss. Instead, someone listens and responds.
The ways to engage in twitter are many and each has its own importance.
For example, a like may mean a positive sentiment towards the tweet, a
re-tweet will mean that someone is endorsing your view, and a reply will
mean someone wants to directly respond to it. The engagement rate is
defined as the number of engagements divided by the number of impressions.
To get this data, you can export it out of twitter into an excel or Google
spreadsheet and dice it out month-on-month to see how your engagement rate
is moving.
- Tweet length v/s engagement: This statistic is useful when you want to get better at how
you tweet over time. Two things to keep in mind - this one is not a
readily available metric and you will have a sizable number of tweets
over a few months to get conclusive data. Use the engagement rate
spreadsheet and add a column to calculate the length of your tweets. You
can use the =len(column-name) formula to do this [For example =len(A2)].
Add another column and use the formula to get the word count for each
tweet including the shortened url.
=IF(LEN(TRIM(C2))=0,0,LEN(TRIM(C2))-LEN(SUBSTITUTE(C2,”
“,””))+1)
Compare your tweet length and engagement rate to see if you can find
your magical number.
- Your biggest influencers: Some
tweets gain a viral effect because one person may have re-tweeted it to
thousands of his followers. To find out who these are, use the buffer tool
to see which tweets have had the highest potential reach and who the
people who re-tweeted them are. Make a physical list of these influencer's
to thank them personally for the re-tweet and to engage with them for
future conversations.
- Best time to tweet: While it’s good
to use a scheduling tool like Buffer to be sure you are seen round the
clock, it always helps to share a couple of extra tweets when your
followers are online. There are tools like Follower wonk and Tweriod which
can pull out the numbers for you
- Your follower's interests: While
the first glance will not show much, this statistic can be useful in
knowing what your followers are reading and enjoying. Tailoring some content
to these interest areas and then connecting them with your product can be
an interesting way to re-purpose old content.
What statistics
do you measure and how has it helped you improve your Twitter strategy?
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