Product Analytics. Part 2 Measuring activation rate without analytics events. Part 2

189. Measuring activation rate without analytics events. Part 2

Our goal for this lesson is to generate signup events based on the table we have from Bindle’s production database. The trick here is to distinguish between the web and mobile signups because we want to calculate the activation rate for our mobile app.

The information about device types (web browser or mobile app) of our users is stored in the devices table. To determine whether a user signed up via browser or a mobile app we need to find the very first devices record for a user. I bet you don’t remember what all possible values of the ...

“well worth the money”
Sign up and check out 37 free lessons and exercises.

Anatoli Makarevich, author of SQL Habit About SQL Habit

Hi, it’s Anatoli, the author of SQL Habit. 👋

SQL Habit is a course (or, as some of the students say, “business simulator”). It’s based on a story of a fictional startup called Bindle. You’ll play a role of their Data Analyst 📊 and solve real-life challenges from Business, Marketing, and Product Management.

SQL Habit course is made of bite-sized lessons (you’re looking at one atm) and exercises. They always have a real-life setting and detailed explanations. You can immediately apply everything you’ve learned at work. 🚀

“well worth the money”

Fluent in SQL in a month

Master Data Analysis with SQL with real life examples from Product Management, Marketing, Finance and more.
-- Type your query here, for example this one -- lists all records from users table: SELECT * FROM users
Loading chart... ⏳
Previous lesson: Measuring activation rate without analytics events. Part 1
Next lesson: Retention rate basics