Mixpanel
A product analytics platform that tracks user events to help product and engineering teams understand behavior.
Mixpanel's own turnaround: with about 40% revenue churn in 2018 after spreading 50 engineers across side products, it refocused on the core and lifted retention from about 60% to 90% and NPS from 16 to 50. Apps use it to track trials and onboarding drop-off, and Gotthilf says Duolingo clones fail without teams reading it daily. Lesson: when churn rises, keep engineers on the core product.
- 1Break down top appsStudied full onboarding and paywall flows
- 2Run experimentsUsed Mixpanel and A/B tests
- 3Validate what they learnedChecked what made flows work
From Alex, Screens.design
What was said about Mixpanel
Alex's team learned subscription mechanics by breaking down top apps, then testing with Mixpanel. Alex and his partner studied the full onboarding and paywall flows of successful apps to see what made them work. They then ran experiments with Mixpanel and A/B tests to validate what they learned.
At the start they did not understand the math, the statistics, or how much onboarding flows and paywalls matter. In his words, "we didn't understand the importance of onboarding flows and paywalls." His library, Screens.design, now shows full flows from 2,200 apps for this kind of study.
An inside look at Mixpanel’s product journey | Vijay Iyengar
In 2018 it had about 40% revenue churn because 50 engineers were spread across analytics, messaging and data infrastructure. Refocusing on the core lifted retention from about 60% to 90% and NPS from 16 to 50, with about 100 features shipped in year one.
Alex's team learned subscription mechanics by breaking down top apps, then testing with Mixpanel. Alex and his partner studied the full onboarding and paywall flows of successful apps to see what made them work. They then ran experiments with Mixpanel and A/B tests to validate what they learned.
At the start they did not understand the math, the statistics, or how much onboarding flows and paywalls matter. In his words, "we didn't understand the importance of onboarding flows and paywalls." His library, Screens.design, now shows full flows from 2,200 apps for this kind of study.
The Paywall Strategy That Increased Conversions by 56%
A Mixpanel email showed the drop in trial activation right away after the X was hidden for paid traffic.
Copy This Facebook Ads Strategy, It'll Blow Up Your App
The team used Mixpanel with many A/B tests to learn the math, onboarding flows and paywalls of subscription apps.
How Noom Avoided PMF Collapse in the Wake of GLP-1s
Noom builds most of its experiment tooling in-house but uses Mixpanel for self-service analysis by PMs.
Rethinking SEO in the age of AI | Eli Schwartz (SEO advisor, author)
Eli picked keywords, wrote content and built links, and SEO still did not convert. The tool is expensive and integrated across a company, so it could not be bought on a credit card and search clicks rarely became purchases.
5 Features You MUST HAVE In Your Minimum Viable Product (MVP) 💡
Named as a common analytics choice, and an alternative to Firebase for cross-checking data.
Scaling Duolingo, embracing failure, and insight into Latin America’s tech scene | Gina Gotthilf
Gotthilf says clones of Duolingo's design fail without engineers and PMs reading Mixpanel daily to form hypotheses.
The ultimate guide to product-led sales | Elena Verna
Its Signal feature offers regression tools useful for building PQA models, though Elena usually builds them manually first.
4 Features You Need Before Your App Launch
Tracks each onboarding step, and a daily Mixpanel email reports trial activations. One app averages 15 to 16 trial activations a day this way.
The ultimate guide to adding a PLG motion | Hila Qu (Reforge, GitLab)
Named as a product analytics option for the core PLG data stack.
Avoid These App Launch Mistakes (Part 4) - App Startup Series
Mentioned as another option besides Firebase for tracking funnels inside the app.
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