Purpose: as a developer, I want to better understand the behavior of the users & the impact of changes made in the application on those users.

BigQuery Analysis - could be an interesting solution for us for storing the event data.

Note: I’m not an experience developer/manager on how to properly set up event systems to understand user behavior and make decisions, so this is just a very minimal method of tracking user behavior. Someone stronger than me at this should help us develop this strategy so that we make the right decisions with our app users.

Suggestion: start tracking the below events ASAP with events and google analytics, but bring in a consultant or friend to create a user behavioral tracking plan so that we can make proper decisions going forward.

• All event triggers should also be associated with specific creatorland IDs when we identify a signed in session - Ideally I’d like to be able to export cohorts of users from mailchimp and then load those user IDs into google analytics and reference behavior and stats associated with those cohorts. If there are better ways to do this I’m open to them!

We need to be able to answer the below questions for ourselves:

• What percent of users that view the website sign up?
• What percent of users that begin the signup journey complete it
• What is the user completion rate by uniques per page of the signup flow
• What users are looking at other profiles in the system. If we have this event, we can build reports around time frames like daily/weekly/monthly. We can also derive percentages about total site activity if each user session is being tracked individually.
  • For example, we can use mixpanel downstream to identify cohorts like creator niches. Which creator niches are exploring other creator niches, this could help us properly train an AI for a recommendation engine.