Analyzing Mixpanel Data with SQL
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Transcript of Analyzing Mixpanel Data with SQL
Analyzing Mixpanel Data With SQL
● Shaun will lead Q&A at the end of the presentation
● Tag your tweets with #mixpanelsql
● We’re recording the show
● We’ll send an email follow up to everyone with the recording & slides
● Stick around for the cupcake giveaway at the end
Details
How analysts can build a lean data stack that will take them from consolidation to visualization
The quickest way to start running SQL queries on raw Mixpanel data
What you’re going to learn
1
2
3 Examples of the rich insights you can uncover when analyze the data about your users' interactions alongside data from your other sources
Who’s presenting?
Shaun McAvinneyLead Sales Engineer
RJMetrics
@Smcavinney
Andy GranowitzEngineer
Wagon
@agrano
Intro to Wagon
Wagon is a modern SQL editor: write SQL, analyze data, and share charts.
Intro to Pipeline
A quick introduction and explanation of Mixpanel
Mixpanel
3 Methods for Analyzing Mixpanel Data
Poll question
How does your company analyze Mixpanel data today?
1. Mixpanel’s in-app reporting2. Writing JQL queries inside the MIxpanel interface3. Loading the data into a data warehouse for analysis4. Other
1. Mixpanel reports
2. JQL queries
3. The best way to do this
3. The best way to do this
All your data in one place
Mixpanel + SQL
Connecting Wagon
Examples
Using Mixpanel data, we can analyze:
1. Events over time2. Events over time grouped by event type 3. Events over time, grouped by monthly cohort4. 30-day active users 5. 30-day active users by monthly cohort
Events over time
Events over time
Events over time grouped by event type
Events over time grouped by event type
Events over time, grouped by monthly cohort
Events over time, grouped by monthly cohort
30-day active users
30-day active users
30-day active users by monthly cohort
30-day active users by monthly cohort
Data Source