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