December Analytics updates:
Utilizing Discord insights, Statsbot, Together Crew, Community One, & Custom built solutions for Telegram (in progress) to collect and analyze different community insights.
These analytics helped in the Discord Restructure work and continue to drive insights and track progress of this great community!
Here’s an overview.
High-level monthly Data:
These are great stats! Tracking the activation of new members is key to improving the educating and onboarding of new members! Organizing the discord seems to have had an effect here. Discord measures activation as not just 1 message for a new member but more than 3.
14% is very solid!
Week by Week Discord Data (Statsbot)
Here we can see PER WEEK the total messages put into the Discord, the total voice hours, the unique members who sent a message or were in the voice chat, the unique channels visited in the server (you can see how we consolidated channels in our Discord restructure here), and finally the status of discord members whether they were online (regardless if they are in the server, nice to compare against the activity to see people who are on discord but ignoring the server or participating).
Week by Week Discord Data
Here we can see PER WEEK the new members, % communicated/activated and the %viewed. This is the week by week breakdown of the monthly data above.
Additionally a very key metric, Retention.
This is the % of how many members came back to the server the next week. As result it is a Lagging metric always 2 weeks behind. However, it tells us not only people who activate and communicate, but who continue to come back. These numbers are above average compared to other communities! 20% is fantastic. With continued optimization in the onboarding sequence and education this metric is bound to increase.
Also the recent dip in the messages, and retention stats is likely skewed by the holiday season and people taking time with family and travelling over checking in on the community! Except for the die hards… highlighting those superstars below…
Total Week by Week Messages
This includes the entire Discord, The Poktopus Den (TG), and PoktoPrice (TG).
We are building a tailored session to start tracking more interesting insights from the Telegram groups as well! Let’s analyze what we have so far…
The Poktopus Den Stats
Here we can see the Week by Week data for this Telegram group chat.
We can see the number of messages, the number of words and avg words per message (idea of how long messages/convos were), the unique members in the TG chat that week and of course the Top messager for that week! Jinx, Tony Kim and Charlaiz coming in strong!
PoktoPrice: The Pokt Trading Discussion Channel Stats
Here we can see the Week by Week data for this Telegram group chat.
We can see the number of messages, the number of words and avg words per message (idea of how long messages/convos were), the unique members in the TG chat that week and of course the Top messager for that week! Jinx coming in super strong in this TG chat, obviously, he’s a Pokt Legend, especially the way everyone speaks highly of him in the chat… “he’s everywhere”.
Here’s a recent Sentiment Score.
The average polarity: Approximately 0.08. This indicates a slightly positive sentiment overall. Polarity measures how positive or negative the language is, with values ranging from -1 (very negative) to +1 (very positive).
This is calculated using a GPT model. The score is typically calculated by summing the sentiment scores of individual words or phrases in the text, which are pre-rated in a sentiment lexicon (a database of words and their associated sentiment values). The final score is normalized to fall within the -1 to 1 range.
However, I believe if it was trained on more language the defi/blockchain and degen world it may understand more and probably give a higher score!
Things are looking great in the analytics!
Up next:
add more different types of data insights for Telegram
look at integrating and working with Together Crew for Live dashboard
Highlight more summaries, insights and members.