Perspectives

Perspectives

Why We Didn’t Build Auto-tracking for Amplitude

Auto-tracking doesn’t eliminate work. It shifts work to a less scalable process.

Jeffrey Wang

Perspectives

A Maturity Model for Data Management (& Where Your Team Fits In)

There are three key strategies for managing incoming event data in product analytics. The one you use depends on how far along your organization is in...

Dana Levine

Perspectives

Are You Shipping Faster than You Learn, or Learning Faster than You Ship?

Shipping is tangible. Learning is not. It is easy to rationalize “monitoring that feature for a couple weeks” and moving on. And then forget to loop b...

John Cutler

Perspectives

The 3 Keys to Data Functionality in Product Analytics

These qualities ensure that your product analytics taxonomy can answer your company’s questions.

Dana Levine

Perspectives

A Pledge to Increase Fairness in Amplitude’s Machine Learning Systems

Ensuring fairness in machine learning is important but not straightforward. At Amplitude, we are investing in solutions to address different conceptio...

William Pentney

Perspectives

Measuring to Learn vs. Measuring to Conform

Does your team measure to learn or measure to conform? John Cutler explains the difference.

John Cutler

Perspectives

Meet Your Users Where They Are

Here’s how you can use customer engagement platforms and behavioral analytics to send personalized messaging campaigns to your customers.

Mary Kearl

Perspectives

How is Amplitude Different from Google Analytics?

Growth Designer Lex Roman breaks down the main differences between Amplitude and Google Analytics, and how they impact product teams.

Lex Roman

Perspectives

Go Beyond Conversions and Measure Customer Engagement

Conversion is step one. Cultivating customer loyalty—through personalization, relevant messaging, and the best customer experiences—comes next.

Mary Kearl