I took a look at some data @frogmonkee provided and did some exploration.
I see this as a conversation starter: @Devin_S between the Marketing Guild and Analytics Guild. Hopefully this provides a sense of what’s possible. Let’s dig in.
Here’s what Bankless DAO twitter looked like in May. The two main metrics are Impressions & Engagement.
Impressions:
It might be fruitful look at certain days where impressions and engagement spiked.
In another data set (not yet explored) we can see what was tweeted out on specific days. That could give the DAO Marketing / Social Media teams an idea of what works or doesn’t wrt to getting eye-balls (impressions) and clicks (engagement).
Engagements:
We might be interested in the relationship between Impression & Engagement. Here we see a positive relationship.
Relationships are harder to discern at normal scale because Impressions tend to be much higher than Engagement, by nature:
But if we switch to log-scale, we can see very similar patterns over time. After all, you can’t get engagement, unless the audience is looking in the first place:
If you wanted to see how Bankless DAO twitter performed (overall) in May, this density plot gives a fairly good indicator.
Impression count hovering around < 25,000, Engagement count hovering around < 1000.
While Impressions and Engagement are the two big metrics, most people are interested in Engagement and Twitter provides a break down of Engagement into various metrics like:
- likes
- replies
- retweets
- url clicks
- hashtag clicks
- user profile clicks
- media engagements
- media views
- detail expands
Here’s a breakdown of those metrics over time:
And if we wanted to examine each Engagement metric in finer detail, we can:
We’re just scratching the surface here and hopefully this gives the Marketing Guild a sense of the possibilities.
As more specific questions are posed, the Analytics Guild will be able to assist in getting insights from the numbers.
