Perspectives
Why We Didn’t Build Auto-tracking for Amplitude
Auto-tracking doesn’t eliminate work. It shifts work to a less scalable process.
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.
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...
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...
Perspectives
The 3 Keys to Data Functionality in Product Analytics
These qualities ensure that your product analytics taxonomy can answer your company’s questions.
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...
Perspectives
Measuring to Learn vs. Measuring to Conform
Does your team measure to learn or measure to conform? John Cutler explains the difference.
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.
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.
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.
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